earth-observation-for-journalism/sources/01c Coverage analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Large Area Coverage Analysis\n",
    "\n",
    "When trying to generate mosaics covering the entire federal state of Brandenburg it was discovered that even over relatively long time frames (i.e. four weeks) uncovered areas could be detected.\n",
    "This discovery stands in contrast with the claim that the revisit time in that given latitude would be approximately one week.\n",
    "This notebook contains the research that was undertaken to find out over which time frame exactly an image of the entire federal state can be generated."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sentinel_helpers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We first fetch the geometry of the area we are interested in"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "brandenburg = sentinel_helpers.search_osm('Brandenburg, Germany')[:1]\n",
    "brandenburg.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we fetch all available Sentinel-2 level 2a products on SciHub in the last year:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from sentinelsat import SentinelAPI\n",
    "\n",
    "api = SentinelAPI(os.getenv('SCIHUB_USERNAME'), os.getenv('SCIHUB_PASSWORD'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We simplify the geometry and convert it to wkt we can run intersection queries against the api:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "footprint = brandenburg.convex_hull[0].wkt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The time frame we are interested in spans 4 weeks (i.e. approximately one month in the Gregorian calendar):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "from datetime import date\n",
    "import datetime\n",
    "\n",
    "end_date = date(2020, 7, 1)\n",
    "start_date = end_date - datetime.timedelta(weeks=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Which Area Exactly is Covered by the Products?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Querying products: 100%|██████████| 181/181 [00:01<00:00, 60.42 products/s]\n",
      "/opt/conda/lib/python3.8/site-packages/pyproj/crs/crs.py:53: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
      "  return _prepare_from_string(\" \".join(pjargs))\n"
     ]
    }
   ],
   "source": [
    "products = api.query(footprint,\n",
    "                     platformname='Sentinel-2',\n",
    "                     processinglevel='Level-2A',\n",
    "                     date=(start_date, end_date))\n",
    "products = api.to_geodataframe(products)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's verify visually that we have enough products to cover the area we are interested in:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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lRZGJUiTCKuHr1jHBQXWZtR8eD+MhiWRi/Vhtm55vVq5kM7/p03NXdHTlSv6ut9oqN6+fimQLCquoYqwKoMhEKRbjiru+XsWT7IrPx8zIRKJR624du4rSokX8DeaimZ9k8WJaGnbOYEtmKaleSgqgyEQJoM89GFSp4HYlmaUUjVoP3NtRlAIBtpHo2zc3zfzke6xfzySKQngBemspNTaquneKIhMlmXXXt68qZWJXqqrMqzpYFZpMOtTmk6VLWfZnu+1yN77aWr5HruJVVrAiSskspc5OleSgKDJRikbpuhs9WpUWsiter3mxTquitHmzPUVJNvPLpetu2TK6vwrlmu7t567aViiAIhOlzk66OFQ8yb6YiVIm1k97u/3iEn4/25IPH84usLkgFmNr9QkTCvv/W3Xfmbn6/H777i9T5I+iEiW/ny68fG4qVGSGz9c7UerosJ+ltGQJxzV9eu5iPX4/rcSpU3Pz+lbo7efe1uaMPliK3FJUolRfz8wku5agUfRelDo77SdKCxdSjHK5d2jdOnaZzXdpISOZJDqYHRsKqVivoshEqa1NbcyzOz5f90rEmYhSIGCvRUdTE/cOjR6d24zPRYuYwOPk37dqW6EAikyU2tuV687u+HwUFiMNDdZFqaXFXpbS4sXMJtx229y57sJhCt/kyYX93z2e5P2wzI5NtJQ6Ouy9v0qRH4pKlDJpf6AoDAMGdHffBQLWs7LsVjvtu+84AW+3Xe7eo6GBFlk+W1Ukw2yPmVVULyUFUGSiBKhUcLvj83XfwxIKWbcAMmmbnms2b2asZ/z43LrVVq7k5YQJuXsPK2QiKGaWUjSq2lYoikyU7LjTXxFPZWV3S6mz0/qEZydRWryY9RZzXRx14UK6pQv92/Z4zPeYWUW1rbA/xu7duaKoRElhfyoqultKwWBmlpIdXECxGPD99xx3LjfMBgK0xqZNc1aBYTNLSYmS/enqyv17OOhn3HuUpWR/zErQZGL92EWUNmxgS/Kttspt8H7TJgpTIVPBJT5fZjElY1KEFCg7xQMV3VHt0BVFR58+vROl9nZ7iNKiRUysyaWVBLC0UEWF86qUJFq+dtz0rDAn1+7xohIlZSnZnz59uqcV+/3WhSYaBfr1y/64MiEaZQHWysrcxpNiMYpfoUsLSTKNKRmtKtW2wjnkOlms6ERJYW/MLKVwOLNEh0K3Ql+zBqipoUstl4uglhZWBi9kaaFErIpS4vfZ2KhESUGKSpQAZSnZnT59uOJub9fvy2R/WTRaePfd0qW0YnLdQmLtWv6/dognAZm7dYwC1tJS+O9NkR4VU8oidu2zo+hOoihFo9ZX0aFQYStNh8PMusu16w5gyvnAgcDgwbl9H6skaztiRuK5qHopOYNIBCgtze17FI0oKZxDoihl4pILBgs7Sa9ezcK/22yTW3dUOAz88APfx6mLLWNMSbWtsD+axvNLJTpkCWUpOQczSymTRIdCumgXLaLrLtclfxoagNZWe8WTzIrppjrWSFubqhBud4JBLhBzHfsrGlFSOIfEjZWZuOQKKUrBIHsn9e3Lzay5ZOVKbpbNVdPAfGB09aleSvanuZnf05AhuX2fohElZSk5B48n3rUTDFp33xVSlFasoAUzfXruJ9jvvweGDbNX4k5vYkqqWLK9icW4GbykJPfu8aIRpcR2CAr74vNxVSaJRq0HwQspSgsXcg9HrhMcZGmhXHayzTWJAqbaVtibzk6K0rBhQFlZbt/LoT/pzInFlKXkFKqq4i2laNRaH6zNmwv3HQcCwPLl3Lib6xTt9ev5+UyZktv3yZRMYkqJKFGyN83NTNvPZaNKSdGIktU2zYrCk9gszqr1095euA2YS5cy8WDGjNwL49KlFO6RI3P7Pj3BqiglWkrBIDBoUG7GpOgdXV20kjye/BTMLRpRApSl5BQSJ6xMRKlQ3/HixXTd5brWXSxGURo/3n4VEHqz+TUTF60iv0jX3bhxud+jBBSRKHV2KlFyCkZRykRoClXU0+/nnqHBg4GJE3P7Xi0trBOX6+y+nmDWoDHVsUarSrWtsC+NjfyN56uJZNGIksI5+Hw9E6VCLTyWLeM485F4sHYt3Sl2KS2UDVTbCvvS1cU6jmVlTHLIB0UjSoGAqq3lFHoqSoX6jhcu5GWuXXeAXlpo4MDcv1emVFRYTwk3WsN1dcqLYVc6Oui6mzAhP647oIhEqTdtmhX5xefTKzrU1lqfsFpa8r/abmpiaaGRI3OfmeSG0kJmdHTYLz6mII2N/H6k6y4fnRaKRpQAd53IbqZfP/3H39lpfcLKpG16tli6lAI6c2buXXd2LC1kpKcxJdW2wp5Eo+ygXFmZ33hf0YhSZ6dzNxoWG0Y3UCYuuUw61GaLhQv5u8p1rTuAVpLdSwv1xCNRCAtXkZ6ODmDTJlpJuW7sZ6Sopulc70RWZAfjijsUsm795FuU6urY0G/MGGube3vLokV8HzuVFjKSSXNFo6WUtpeSplH929p6MzxFhjQ0cFGYuAjK9eK+aESpEK4dRc+orNRX3J2dmVlK+Ux0WLKEv6t8JDgEAqzkMHWqfS3+8vKexRzSFtx98EGaoj//eY/HpsiMSIRZd9XV+d/UbNOft6KYqajQJ7dMFhNtbfkVpe+/59jy4bqza2mhnmK0htO2rXjwQWDUKGCnnfIyNgXjpJs3c99dPl13QBGJUiHiDYqeUVUV776z+r3ls9L0xo0UivHj89NUUJYWykftsZ5i/N4yIaUoNTUxD/5PfwLuu0/VC8sTDQ1cBOVrw6yRohIlhTPo00evfef3WxelTNqm95alS+niyHVFcEAvLTRunP2z1KyKUmIyS9LFxPffA7NmASedBOy8M3D77VkZpyI54TAXXP37F6ZIriXHiBBiDYA2AF0AopqmzRZC3ALgaAAxAHUAztE0baOV52Zn6JmjLCVn0KdPvKWUSUwpk2B7T4nFOFeWleUnntTUxKSKPfbI/Xv1hp5m0KX83iZMABYs4PW77wbGjgUOOogfhspcygnt7fy9bbttYd4/E0tpP03TtjeIyl2aps3UNG17AK8C+L8Mnpt3QqH8+0YVPWP4cF2UMnHJZdI2vTds3Kjvcs/HSnL9epZ7mTQp9+/VWzLZpySPTdm2oqOD//wf/8g0x+OOA846ixtn7rij570yFEmpq+N8WaitBz1232ma5jfcrAKg9X44uUVZSs7B4+GKLRy2LjQdHdbbpveGhQs5ru23z/17AXppoXzErnpDTy2llG0rpk4F/vc/4Ne/Bm66Cbj+ehYA/Oor4LPPmACxaVOPx6yIJxRi1t2gQWmST3KIVVHSALwlhJgvhLhA3imEuE0IsR7A6UhuKZk+NxEhxAVCiHlCiHn19fVWx2+ZfKcLK3qHFKVM4kTRaO4n7liMqeBeb37iSeEwmwc6obRQJokOxphS2grhRx0FXHghcPPNwOzZtJAmTQKee44RebXazBptbfxIc13tPhVWRWkPTdNmATgMwC+FEHsDgKZpN2iaNgbAMwAuzuS5iWia9rCmabM1TZs9ZMiQzP4LheuQopRJnCgfrdDXrGGq7JQp+dnEWlfHZA+7lhbKBnG9lAIBfsBPPgmsWqUf9Ne/8r5p02g1AcCKFbxcuTKv43UrmsZak52dha0aYmntJRMYNE2rE0K8BGBnAB8ZDnkWwGsAburBc/NCJm4gReExWkpWv7d8iNKSJfwt5WNvEsD5trTU3qWFJJlYSnKjbVzbig0bGDeSbL01cOmlVOSvvwb+8AfgjTf0BIeZMxmMeu89ZuYpeoV03Q0dmh83eDLSWkpCiCohRLW8DuBgAAuFEJMNhx0FYKnV52Zj4Ap34/Fwwkq7299ArkUpHGZ8p6IiP647gPGroUPtW1qoN0SjtATLywF8/jmw22500WkafXpXXAF88w1w2mmMH737LrDjjvoLaBprFPXpw+uKXiFdd1ttVdhxWLGUhgF4STB1zQPgWU3T3hBCvCiE2AZMCV8L4EIAEEKMBPB3TdMOT/bc7P8b6VGWkrPweFg9Ohi05r6TVlUuJ++1azmJzpyZn/1C7e00Hvbe276lhRKRi4l0SQ/y8fp1nThl4W3AMY8A998PnHwyH/D5GEdKRUkJ8O23zMZ7+23gb3/LTxFCF6Jp9JqGw/HGaiFIK0qapq0CsJ3J/ccnOX4jgMNTPbcQRKNqW4OTkI3+olFrHS/b23MvFIsWcTz5ct1t2kRRnjw5/bF2woooAUAsHMW2Z83CyLYyYMG8ns2G220HfPkls/JGjOAXlK9udC4iFOICaPjw1J6JSCT3Y3HI+is7qN+qc6iqYsDVqvWTSYfanhAOM57Upw9j7flgyRJaiXYuLZSI1e9gwNpv8ey/ylC1binuPv3r3i3PfT59M1tPZ821a/mDK1JaW7lJu9CuO6CIRClfu/0V2cHjoZVgF1FauZL+9m23zU8GspNKCxmR7rt0DLjregDAu5e/gorqLHxxr70GnHhi/IcVCABffAH8+9+pxeo//2EmSWUlkylisfjHly3jjO1SpOuuq6vwrjugiERJ4Sy8Xt19Z0WUOjpyK0pLl/LkzUdZIUAvLeTWVPDKD1/HnK0uxuKJR/Q+DhiNcjPtIYdwg+2ECdywNmQI8MtfAr/6FTd67b03yxN9953+XJlQ8c47LGf04ovACSfQdACY7TdlCn2oNTW9HKg9CQZZNWTECGsLoFzvlysaUcpXCRpFdvB6geZm6ydAZ2fuTpZgkK60qqr8lfpZv54i6ITSQkasWkrhfQ7ChsptspOA5PEAv/sdcP75FJZ//5tZew0NwLx53M/00kvALbdwpfPWWzQLXn2VaedTpgAHHMAVx0cfASNH0mQYNgw47DDgv//ljH333b0cqD1pbWUSYyE3zBqx+R5xRbHi82UmSs3NuVt0rFjB+W333fNXPGDxYpZ5SVnpwCnIzrGffUZx+O47eDdtwhcHP4YxbdSAXvN//wdcfrl5oUSvlwkRADfe/uIXwLXXUpj++U/g2GP1Y8vLgQceAG67jT7hkSNZNPPf/y5MH4ccE4sxoUbT7OG6A4pIlDLZ76IoPD4fV3CZWEo9rb2WjqVLefLmK8FBlhaaMsX+pYUS6WYpbdoEHHMMM+SmTQP23x/YeWeES8pRO280BqVqW5EpVl7oxBM5+06cCHz4IVtimFVq7tePf5LZs1ka3mUEg/RKjh5tn2pNDvvJ95yeNB9TFA6fj+V1rE7KuWp3HwhwkT9wID09+UCWFipU64DeInthIRzWzaAPP2RMZwteADgiTYXwXFBSQpMX0PdEWWHKFOCVV3IzpgLS3EzXXb62OVihaGJKgMq+cxL9+lEQrGae5aqz8IoVtNimT8+f1SJLC40dm5/3yyZxn1FpKTe+HHZYnCAZaW93yHnZ1OS6shrSdQdkyYWaJYpGlOKKPipsT0UFV9yZNPjLhShJj02+su4AbtIdOjR/rd2zic9n2O5TWkoTc8MG02M9Hi48kratsBPPPw8cfXShR5FVOjvZF2zMGHsVFigaUVI4C5+P3p8fV94ffcRVxcEHM4sqAb8/+4kO7e3ADz8wuzhfmUnt7cy8mz7dOaWFTKmp4Ye3fDlwySVJD+vocEAyRyDAoq8uEyXpurNbsV8n/+wzIh8VpBXZo7IyoQfWhg2cHPbbj5lWshkPAMyZg2P+cxZGhxJaGLS3c1LsIcuXs0jljBn5EwhZWihf8ats4/Fs+Wouv5z/xKxZwM9+lvJY23swnn2W+5sGDiz0SLKGdN2VlLBPop0omkQHhbOoqEiwlPbfn5dHHAHceitn7nXreHnuuZhVV4eyYQOByF3AuefyjFu4kFkDmfgBDSxaxMSsfLrufviBQ7WTjz9TvP4GplAvWpSybk0oxMnR1qLU2MgNuf/5T6FHklUCARqz48fbL8NTWUoKW1JVZYgTtbfTQgJ456hRwJFHciW+555AIIC/H/Yixn/3P5aJeeYZ4OyzgUcfZTuEd9/N+P39fiY5DBmSv4SDWIzz+Lhxzt2+4PMBHREvP7hXX025GIhGbZ7koGm0+I4/Hthll0KPJqs0N/M3bsetVzbTyNyhUsKdRZ8+1J9p694Aqg8DDjyQacVDh7IkzMcfc4n30ktAv3746ufAAcHXUH3HHcC997KdAUBr6vrr+fwMMiGWLaPrbscd8+e6a2lh58+ddsrP++WKaEU1UF8P7LVXyuMiEZtbSTffzEyXTz8t9EiySlcXrSSZHGk3isZSApSl5CSGD+dCYtaip1lr5+239Yj42LHA6acz+Lxlg2NHB/D9ZX+nVXXZZfoL/eIX3Bk4aBB37595Jvv0PPxwyvdftIiX22+fg38uCevWccJwajwJAPqHajH+jYf4eadZBNi69NfjjwNPPAG8+WbmyvnKK+yEu9tuNEdsRmcnvdvjx9uzc0LRiJJy3zmLPn04Qa/e9VSmv6UhGgUGDRbdd+cLAfzvfyyoefPNjHGMHQv8/OfArrtS2BKqQjc1AatWURjz2TZiyRLnlxYa0boUuz51EWMxsqhpEmIx82IKBecf/wBuvBF4/XVrzbwk330H3HcfcOqpjEPV1OirGxvR1ESttEutu0SKxn2ncB6aBniC7YxPpCHlPrTSUuDrr+Pv+9WvOPlceikDG//9749pSNJ1t+ee+XPdhcNMcthmG/sFnnvEZZfRWkiB7SwlTQP+/GfgrrtYtHXKlPTPOeMM/iO1tcAHH/C+Rx5hefdAgOWJbIR03Xm9meltPikKSynXvXYUWUbTgEAAg7V6lPvrgPnz0z4lY0u4vJxVpb/7jvtPJkxg64M//hGLF8YgBPcK5YumJgaf81VfL2ssXMgdmFvY/ct78OHx9zGul+YLiUTsU28NsRhw8cVsqf7xx9ZqPK1fz6SaAw5gxYoFC/jbPf98miKxmO3cdx0dFKVx43q24Orqyv6YElFTtcJ+7L47MHcuvgVQO29WfIwoCT12z5aU0FVz9dXAY48h9pv/Q+cR+2Hc9jvmNS37hx/oyho3Ln/v2Wuam/WiaY89Bng8mPjDm/ji+LssPT0Ws1H23W9+A3z7LTB3Ln2oVrjlFtbPM9uHtf32tJI+/RQ46qhsjrRXNDZSmOzQYTYZRSFKylJyEG+8wYlh7lxcedhijL7iHFzxq/SBh2CwlzFDrxc48kjErrwam8vHY788WkkAW1UMGZLn4qS9Ze5cXh57LHDeecDEiXj7xEdQ33+y5ZfQtByNLRPuv59lhD77zJogRSJMvHnkERYqTMZWW7HNuk2QrrvycnvHLYvCfZfY3VhhE558kqnbn3zCWXnePBbvPO44YJdd8HzluRAl6QVJLjp6nchSVYXOikG45Pk9sMtHd9ESyAOBAOeuadNsUFqoq4sC06cPO7C+9BJT6k89FXj//fhjr2dLc/z970zpWrkSS3Y8w/Jb2SIlfMEC4PbbmfBiZaZ+6CEmyvzmNxSzVNkC06dzr9z//scvucB0dDDrbuJEmyaYbKEo7IdAQFlKtkPTGHdoaOC+o9JSvXDn88//eIiVlXS2LOG6cH88csaX2Db8DY6Zfz9w6XfA00+bjz0azVoVy5oazumTrRsYuePOO5kK/a9/UZT/9CcuGv70Jy4gVq/mh/3NN1TS2tq48jteL5NErKBpNogp/fe/3Gg9dix/SJ98wi/j6KPNVwj33ktBuuii9K99xBHc53Tsscz8vPHGbI8+IxobORf2ttZdrufSopiq29sLPQJFHMEg/ezffsuzRAYW2tvpW9jyqy8psWY5ZEuUli4FGsQQVB9/MBAT7E4KcEkfi3ECPvlk5m4HAlwJX3klcNppvVp6ytJCBW1V8cYbtFIBZirusAOvn3++fsxdd3GSnTCBNe0eesjUugiHrb1lOGyDbRqffkpX3CefMOll5kymsl91Fb+Q3XenmLS0UKQHDLA+6HHj+Bkddxxwww0FFaVolGu+qipLOywKSlGIEqAspYLx6KP6/qCttmJg/NFHmZXU2Bgf6TY52a1k+2RDlGIxJpKVlm7pnO3blWfxjBnc1drWxqX97ruz/lBVFbO0rr0W+OMfaUWcfTbdQNdey/9l2TK6wu6/P+kuxViMYjhiRI4naE3jvpu+ffm577prfE7waacxYP/nPyfP0770Umao/eIXjL1ccEG3QzJJ8Y7FbBBTuu02CnBXF2NE06ZxYK+/DrzwAvcd3X47jx0zhmnimZTciEQoRlLw80Rc91/QbbdiBU/Bzk4Oy0ji7cT75PVNm3Kfxl8UU3VHB1dlmzfzxC/46szJfPklSw6sX8+TeMwYTtoXX8xNNomMGsXHW1u58nzsMa5IX3stbdVlIaztOO/o6L0oNTTQGzV+vFxJVgMvvshJ6ZVXWCE1EOCPR77ZwQezfNE779Dl9atf8f5rr+XquLaWNfp2350VKEzw+/m7PPjg3o0/5T+2aRPwl78w3Vkya5aeat/eTitg5szUM85llwHXXceEgD33NLUOfb74WriBgG45NTfzuizwXlvLifLDD3n7xz5MW5AGqpHEY4zF4q3cTrTiQqGdgH5bROa/QPgFgKH2nwATfoLSKx5BtDOCiJfBr2gUwOOp38NY0mz6mjdx8JpS3FHzO+D87o/35LamdV+sJR5TWhr/9bS18bs48kiuleQxic8xknhOeTw8dQcNAg4/HDmjKERpwQLg88/piYhG9S/Q4+n+J+/3+eIvAfq/vV7eJ/8AXpaXc9Hv8+nFNCsquKCWQijF0LGi+NhjLFAp+12ffjozsFau5KS8dCknb+PZcOihjENcfjl9cd9+m9FbWnHfNTb2XpQWL+bkElcRfM89+ScxC4CUlFBRDj6Y5YsmT6bZA9DqAFL24Vm3jr/HSZN6N35JR4e+Sg6urMHY3fWSFF/84we09B+PrpY2HHrWEPz76RA6Yz5s/erfsBuAR5uORcvd/BzCYX0Cj0Z5XzRagSlHvoXhm7/F+6PPh/8M/VyS59W8eSx7JzuHy4lOTpIej/6dtrXpgiRJ1MTE79VMM43HJH5FZWXdtdP4Gj5f9+fEv4cXPp83xePd09rl42WtDdjx3VtRf9SxOPPM+EEYOyqXlnbvsJyYAJLpbSPBINcjGzZwvdSbZBq/33rMsKcUhSj5/RSKV1/V75NxpvZ2/a+jQ1+JBQI8ETs7+aXK1VAoxD+/Xz9pw2HjiasfK09U45+830wI5Z9RCOV1oyDK++WfFER5f2VlvCAC3YUxYx56CLjiCtaPO+ig+EGGw6yiPHo0S/wfcghryy1ezA+1qoq73VtbeXZYSBBob+fJmrgKNaO3PXliMYZKysp6t2E2vOvenMybeFubMBuDALSdfiGCIyciuPUM+GcfgHAYqJj3MVpnH4CX3u6DhQuB557TrQIpCNEoV8TytyN/X4D5b0r+rgBejg348TvvQPzq2DXo09WKtvdH82sr7Y+th++OiscfxLe7XoGtN9Rg8YyTUOsZBR/omUv8nckFF3AQKioOwtnl+mdeVaX/XXst1ylffZX6s6qro37vvTeT91yHpgGHnwkcsgv63/NrTC5gVuXmzSybtcsuNsjutEBRiJJZokOhrRajGMrxSVE0CiKgi2Lin3HyMk5Y8nqqictMDKUgyvul7uy48gUc8cFteP7U91G/aFf4VsQLIuBFxbXzscf9J6P/RVdCeK5GZNxktO59BKp8tfB6gbLf3Arf0Ydazlhrb+ehVkSpqYkT+ubNqT9PIH6RYXQjffEF4/cffaS7jcJh3U0SiXT/PKVgyGNKS/XPldd3Q/9b1mD7D+9D15oIhnzyKLb91UmIlpWjpCuCb0+6A5/V/BoVFfrHYmaJS0GQC4/y8nghAOKvA+A//fIC4OsyPPJcNQDj/hsBnHc/Ju24I44c8Anw7Rzgsccw7VQLX4wFrMQBOzr4GUmj23V88QWV4OWXC64Eq1bx805T9ck2FIUoaZr9Eh0KGdsyTtyJVqLcTqE1NGLWA+dh5PdvoDQaxvMXvo/60bsC0K1EoyACJaipOhfTqwfjy5HH4utBByG6mC6LaBSILgKirycXw0TLcMMGZqXddBNbJAnBc1u6g+T1khLdXbVsGSduuf8xldBKl43Xy/BYWxuTpQYOpECUlenHGC1V4/MSb5szDrjxT/rNzk54fD5g9mwM+8ls9H+BbuWsb/ofM4Zqvcce5o9vvz3NwzfeoIV7yilZeduqKmttYurq7FmhOmssX84Ya5a2DfSUzk5+zYMH27cAayI2m6pzQ2ImSrFjSRCffwf45mXu0zn4YJxsaQv44QAOx4EpjrDqNv3f/3i7vJzzZzisWy/SWpFVpv1+TnADB3Ll3dJCIZHZ5Zqm++xLS3Ux6duXjzc00OV5wAFMdJCP9+mTg300FRXAAw8AdXWYV7EXurr0Sj0AaLa9+SYLfZqtsDdtYsr22LH0NRoDJrEYE0gefJCCNH9+6t4b06blpNieFVFqbuZnn5i44Hg+/5yx1pYWJsoUmNpaWkq77VZwg80yRSFKgP0sJdtz9NGc8E4+OaurPatu05UradVIl1oqDjiA8/F//6vf19JCsWlv56UUu+ZmXgaDFLO1a7ntaMwY5mMsXhwfw+nqopBJC6u8nB+HDE6XlfH+ykpelpXRWpAVJkwF7ssvgZoadD3xNAb0Pwdj5/0HmHiCPvjycg5cbtC8+mo+Z9ky+ihnzaIw/fnPzHoEWBR177050Opq4KSTeFyesRrbkwsH1/H881xQ/O53tiibsGIFf0pOcd0BRSJKHR022DnuNISgibFypbUS/lmmrY0rOysbMUMhWj1G+ve3VkfujjuYnXnuucA555gfEw7zxDZeRqP8XclYUyCgC5mMRXV2JhG4HZ7CkKqf47i/HYzjtPOAZ4GGAZPRMHQa3jviTxjf9DX2u/YizF06AjPfuRuDlsR3Pg1edAXKzz9T97V+8glT0w8/nKvzAk6GXq/5npdE/H6KkpWYoaNYtgz46U9tIUiBAAtvDBniHNcdUCSipOgBHg/NlHvvZeZdnunooNVhxRUUDves2nQ0ykwxjydl1ja83rRbqiwjhe3TT/fA3u9uwjmHbMLY/bZCc5uHwhUCvh04Ef7DSnHM385GWSSAiy+Mou/GpRjRtAhnzrsU/c8/E/+ZcCWe+uxqlJ8C3Pzu1RilVeCGIc9Au1ygqkq30GQmnc9Hkfb52Ky3uppWzdCh2a0/Z3VjZSjkHHeSZdragHffZYkmG7BpE7BmDbD//oUeSWYUhSgFAi4PquaC0lJG4D/5pCBvn6koJe7zsMLnn7Pu3NSp7DKbD6TA/fADEOvTF0dc2TdJLbJjgca9gYoKPFBZCmBbILgVUHEyAOC4UV/g8AMeQck9f4S3YTmW3PgMDt2jAqEQXWMyu7CtTa95JrMyOzp0Cy4Y1DMyZQxOZlV6PEgrcAMG6Jl/Q4fyGCvZd21tXEi4ylKaN4/VIWyyEXHZMn6/u+1W6JFkRlGIkhV3gsKE+vqCVTeWRXStTHBdXfqG5Uz46CNOyPvsk/lze8sXX3CfccrimIMGxd8uL2fwbP16YPZslF96AV12112FqT87DVN7MZ6ODmbEdXRQxDo70SOBW7mS4a1TTtGzH2WMzShwJl3obcmWfpNxJCZOydullVMwaskyLFmY+vjENPjEZI9YrPuclWkli44Ohh1LS7lB26zDRqaVJGIxZsX269f9tbJJUYhSVxd/CLfd1vNKDDZZ/OSP996j627NmoK8fVsbvxMrC4qebJ6NRpk74PGwmHM+2bCBCRY9Ki0kBDPv1qyhiZilBkxVVfTWJiIrRBgrRXR08HySE6XcUxcKsb7pihV0HXV0xG8kl1ZZLMbHPR7up776av11jJhZyamOsVJ+J9PbgHm5HSOycLDQhuH+rv747yXvYumoAzJ6jXSVLMrK4t2diWWEEitXyBjmDjvo31Piaya6vBO9SYn5TR4PFylWeyD2lKIQpalTmYEFdN9jA8RXYjDbbJqqNJHxPmNpInl/YmkioHslBnl/YiWGxGoMvcbv5y9q3jzmIYfD/MUaC3NKnniClwVqhdrRwc/HiqEWCmUe8/n8c73ear5cd5KFCzlB77tv8mMSRSCufFAQ6OysRChUGScMxg3BssacebkgTuDG9PpklSJSVR4Rgr9t42+/q4vfRd++1EuPh5OdzFiUi4enn+Zx06bFJwkmK9mT7PFMy/MY959ZfY51SoA5D+LGi34KvLqooM2ili5lvPT447MrIs3N1lzqvaEoRKl/f7pobrih96+VWIlBThSJlRikiW6cLApamkjTcMNvutvdkYpqLDvtZmw+5fI4QRzkHYY+03dAqL0wVmIoxO+tvj79sV1dmZfjf/ddrtjNgsByIjd+V4n3RaO8Hono1lw0an5b7q+SY/33v+kqe/hhlhNM9l0D6RdAQPfvW96XulwQr8vqEEB8lQizydsKq1fznHjuudTHvfkmM9hHjszavl17sP/+NIPb2wsmSuEwXXaDBuXeqskFRSFK2cQOlRiMG1CtlNIJhQBfyI8YBB4641MEUImQ5kWL6I/hLUtx5aP7Q3ttDpYO2gObKyZglw3/xqTNr+C+mY/i9ROST5JmlRjMKiYYy+bICTHRbSpXwFIU/X5eBoNsdyNE8v+xpYVdJOQepGTCD+ifx5dfUjDWrWPnidTlguL/V7nql/9jSYm+X0lWg0i8LT+LkhJgzhzWeb3iCgvlghyI1eSUIUNyP5a888MPVFoz70OekLG/7bYr2BB6RVGIUiiU+x4g+SCpIHZ06A/IhmSffsoNfKNGcdbfZhvg0eG46OddwJ6GX2t0CPDSC5ixcSNmXH45i6nOGAlc8jUu22EHXLblMCuliRIL2BqL2GbqNl27lscGg4y9yJJCQuh/0pcvg7p1dbo1IEWvTx/OEeXltLxGjOAJW1vLYgcXXWS1XFB2WLeO/9dJJ7FAptuwKqiRCN2mtbW5HU/eaWjofWvXXlJfz99YQZtG9gIlSm5ApjFdey3TuioquGvuqKM4I2/cqB/7ySfx7Rg8HuDEE3n9vPOS2vv5thAvvRSYPZt91u69lxPYihUsaNDSwsvWVorjiy8Cp56qF3ANh3WrqqGBxxoD7Rs38nlTpwLPPJO+SkNlpR47SVqlwSLLlnFC3nHHXHxq9sCKpRSLcb3kOlH69tuCqkE4zAXdkCG5O19zXYmjKEQJcLkotbZyk8jtt8en4Ggab3/zDXDrrYwo//rXyV/HRg7oUIjaKk+APn2Sl3H7/nt2r7ZyEkajwN13c3+S7C0jqzQEAnpMSFqA0SgzxaTVlthGoquLvy3p5ksncP/7H193+XKKq3GPj9PddoC1/2HhQn4Wrtun1NXFCsIF2tsH0CPR0KB3s3ciRSFKVkrVOJqRI2lK/O1vbDQnkQK1ww62KA6ZCdGoHp8yaz2SeKzVVeHatTxpd9qJH1s2kKJmLENkJnCBAEMOHg+7bUvRM4pdWVl8nT153WwTa9++elwucRNrIQUunaW0fHnBi2fnBiGosgWs6VNby8+/wB7EXlEUogS43FIqKaHo7LUXZzCb1N7qDaGQbl2kqvLe3p6ZO2HxYopGNotjWxXEjRuZYHHyyRRFM+QGVuMm1tZWPU7X1qYHsles6L6J1ShwxioN+RI4K8fW1urfWa7Ti/PKxo0873qykzsLhMPcVz10aMGGkBWKQpTCYZeLEsB+2u++C5x2GnOO//Mf81/mmjWczV54gcv2ww4DrrzSdnWYolHdfZeqvcHmzdZFKRql66hvX2DbbbMzzkxYvZqXZptUJZY6hFjETOCMVRpyJXAbNrBB8YAB5gLX0KC/hqt4/33GawtU1K+1lR1LnB6vLApRKhqmTWMPnZNPZgzp9tv1x+rqWAb7669Z9fuAA4ATTuAxS5Zww4yNrKtolBOYz5d6A63sUGuF1av1VNme1MrrLUuXcu9Itoq7pqNQAtfWBnz4Idc5ZgJXU6NXdXdNTEnTeC7df3/BhlBbS3exU7PuJEUhStFoYSahglBaCtx3H7MCjjmGJsG99/Jk+elP2Z7ZaFrsuSd3MV5/ffdEiQIi40Tp2ht0dFhfcS9Zwlj09OnZGWMmBAJMB99uO2dWx85E4BYuBG6+Oflz7rmHacs9qexuW5Yto/suVZmOHCJdd8OGOf9zdeDpoUjLqFG0fA45hK2uFy6ka+H227v7uior2RL75ZdpXUUiwGefAWeeyW33BUKKks+X2n3X2WnNfRcOA4sW8TWn9qZyaQ+praVVt802+X9vuyFT6wGXxJQ0jTuhL7mkYBkcra20Up3UNykZRSFKMr24qDjySC7NFy+mgz9VZH/wYLbR/ugj+syOP57Hn3kmzQvJvHnAP/4Rv+8pRxgtpcSqykYCAWuW0tq1PGmnTCmM1bxiBeerApUSzCvpklNksV1XeC82bKAbvLaW3oYCsXkzvQBjxhRsCFmjKNx3RUt1tfW9R+PHs55PKKSXJB41iu69ffflr37TJu5oveIK1sJPbPeaJdrbdVHyelO770Iha5bS4sU8aWfMyN44rRKL8f2HDSvCavMmhMN6rUJHW0pr1jDj9ZhjgCefLFjKWyhE192IEe5YfBeFpST3vCgs4PPpQY+zzuIS/+ijgWuu4QaT887rXjc/yxjTvL1ebghMRmdn+u82GKQoVFcDW2+dvXFaxe+nnmczDd3OpLOUAgGuZxy9Wbi1lRbSeecBf/5zQVcbra2s++gG1x1g0VISQqwB0AagC0BU07TZQohbABwNIAagDsA5mqZ18+sIIQ4FcB+AUgB/1zTt91kauyIfDBhAcQK4xD3rLOCll3Ja/cEoSj5fakuptTW9pbR2LQPrO+1UGJdRTQ0/usmT8//edqSjQ1/RO9JSqq+nIE2bxgoOBaa2ll6A0aMLPZLskImltJ+madtrmjZ7y+27NE2bqWna9gBeBfB/iU8QQpQC+AuAwwBMA3CqECLv60W5EVPRS0Ihmh0DBzLW9LvfsdZelkkUpVQVOUKh9PXnFi/mZSH2JgE0NsvL3TNppCOdpSTbkjjSUvr0U4rRLrsAjz5a8FTKUIih4xEjXBKjQy/cd5qmGZ0qVQA0k8N2BrBC07RVmqaFATwHWld5xZGrMTtSXc308r32YpypqYltW5ubs/o2HR26KFVXpxelVEZbMMj9QdXVTHLIN9Eos4XHjs19BXI7kSo5JRjs3undETz7LHDcccAjjwB33mmLWkktLfxzi+sOsC5KGoC3hBDzhRAXyDuFELcJIdYDOB0mlhKAUQDWG25v2HJfN4QQFwgh5gkh5tVb6eyWIW4IANqC887jlvzaWu6HGj+es65EM1ubZEZnp77qq6hIvahIVwF+9WoOd+rUwohCUxPfv1jiSUB6d2owqFd5cMSC8bvv6La+/npWSznmmEKP6EdkBXw3WeFWRWkPTdNmgW64Xwoh9gYATdNu0DRtDIBnAFxs8jyzaLjprKVp2sOaps3WNG32kCx3/5LVARQ5IhZj4OT44znzz54NvPJKj1/OmOadrpJ0uhJSS5ZQJwslCjU13PpViASLQpJqb1k0mt1qEznjnXdoguy/Py/nzaOXwCbIrLtRo/KXyJWPRYQlUZIJDJqm1QF4CXTLGXkWwPEmT90AwJg5PxpA7je5KPLH8ccDZ5zBChJTpnAz0C23ABdcwFozPcCY5u3zpT4RUolSMEhRKpTrDmA8q2/fzNu1O5lUE6SMNdnaUlq4kL/p004DHnqIiQ2//a3tvsSWFnrOU9VSdCJps++EEFUASjRNa9ty/WAANwshJmua9sOWw44CsNTk6V8BmCyEmACgBsApAE7LztCtk0lrA0WGXHMNsN9+QL9++sx/2GHsMX7ddewtk2Ew2JjmXVmZ2lJKVUJq9Wq6z3bZpTCuu2CQY9h669w3RrMbyb6zujqbfxYNDcDpp3Pz+dKl+StUmCGaRtddLOYu1x1gzVIaBuATIcQCAF8CeE3TtDcA/F4IsVAI8R0oVJcBgBBipBBiDgBomhYF3XpvAlgC4AVN0xbl4P9QFAohOOsnmiKnnEJlOe444Ikn2OL1vff0LrkpCAb1ictKTClZvFC67gplJTU0cDVbqPcvFKlEp6NDX0TYzlJ64gm66SZMoGVkU0ECdNfd6NHu24OZds2iadoqANuZ3G/mrpOuvsMNt+cAmNOLMfYaZSkVgNJStll95BG21Ojqoi9ryBBgzpyUmUvGNO90E1eygqx2cN2tWcNLt7lX0pGqXmFjo41Tl594go0yTz210CNJi9wwW4g6jrnGzoa0wun07cteTRJZovvrr2ldJcEoSn36pBalaNR8D9rKlZwAd921cKnYS5ZQg/v3L8z725GWlvhFhNzTZItEpJEjmVVqczSNFUJiscLUust1JnzRlBlSlpINePppS/4sY5q3FVEyiz/LOrKFaFMBcAPw+vWMJzmxVUVvSNVupLPTJgJkRnm5IzaThUKsAztmjCOGmzFFdrooCsb77wM33khXXr9+KQ/NVJQSFxzBILdOVVezIW8hqK2lBaBaVcTj98dbtumqP+SV8ePZjdnmuDXrTlIUoqQsJRvw7LN05VnYMGRM85ailKyqg9l3K113M2YUbiUpW1U4vQtoT0hV2b2tzcar+5kz6Vq2MZrGzjGa5r6sO4mKKSnywz77sB1pQwOXxiNGsAWGyQyV2CPJ4+HKcNiw7i9rJkrff8/LQm2YjcWYTTxihFoMJZJYFspWltJhhwEnn8wVkE2VMxTihuwxY2xR5SgnuN5SMhb3VBSQ00/n3qXycpoPb7zBTbYmhELxGVoeD1fYZiSKUjBIS6l//8K57mSrimJ13aWylNrbc9aGq/f4fFTMlpZCjyQpzc3MvBs/vtAjyR2un67b2ws9AgUA7mc66ij+AVyR7rILl30zZrBFxm67Adtsg2jUkLEWjWJy+/cI1E0GBkX4wJZeTu3twK+WXQA8vhtw7rkAKEhNTXypQi12N23ipFxspYWMJHO3Jqbw28pSAoAddgBeeAG42KxqWmGRrjs3bpg14npLCVCWki0ZNQr45hsK0tq17Hq7//7AeechFgiiWrQDf/oTUFaGuz7aGTP3qOZmxpIS4KCDgGgULV8sw+EbHolbln//PU/eQmXdAYwnVVS4e+JIRarNnHELDjvyi18Ar79e6FGYEgy633UHKEtJUUiGDGFcSdLaCvTvj8fxOGIveoFIGLjlFpyz5Aacc7aGA6fWAI89Bvz+98Buu2H4shV83hlnAOBJ+8MPwAlfXo1JEycCUy7M+78UjTKeNH68bcMSeSGZ+66jg0axxHaW0po1tk1ra2nhKTJzZqFHkluUpaSwD/36AeEwLj7kB9RcdS/PwhtvhK9cIBAs4RLxpptY6PXaa7H64j+hrnIcY1UAViyNYo+Xr8Hun94Fz5WXAQ88wMSKPNLSwvqdxVZayEgqMZZtK2xJIMCKDocfnv7YPGPMuhtl2vzHPbh+ulaWksMoK8OG8kkInTcJ2LKdqdtmzJ13BnbeGWv7ASs/KMHPf3cOEAhg4t+fQUXlJPzwSS0m/3Rv4JJLgBtuoE8vT7nZ69dzrIVKsrALqVL4jW0rPJ7UDQHzhqYBZ54J7LGHLUVJuu7GjnW36w5QlpLChiRm1CWrpRYIALts+DefAw+ePmUOnrngQ4zbaSjbD3zyCV2EeSwds3gxYyaO6BeUI1LFlIJBm342Dz1E3++DDxZ6JKZI1924cYUeSe5xvSgZW2srnEGiKCVbTYdCwBP7Pw10dGDxGbdjecV2mDZti/vI4+Gqd/x44NVX8zLuYm5VYcTnM7eUzM7FVMVb84amAb/7HSvZ27BabDFsmDXielFSOI9EUUq276WzE4j17Q9UVmLRoiRZd0cfzUJheaBYW1VYpa7OlnM+f3CNjcBWWxV6JKZI19348e533QFFIEqdncW9anUaZpudk4mS7Lsks+7692c7nDh23RX44otcDTeO9eu5h8SmyVt5I1m34GSilKqJY14oK2M1h3PPBV56ieauhb5f+UK67gpREbwQuF6UFM7CTJR8PvOJy++nYC1fzpP2R9edkW23BVatyktcafFiYNAgm+/DKSDG5o0S2ywYn3qKWQQPPUS3b79+/O0ccwz7LBUITaOVBNjDdZePpox2+UnkjMQ6agp7k0yU/P7ux8q+S0lddwBLUp90EnDXXT+mjueCQICW0vTpxdeqIpGKCvNFREuLeTp4wWNKAFcSd92l325t5Z6l5cuZwSl/R3kmGGQ8ady44nDdAcpSUtiMtjZzUTILnMsWF0ldd5JDDgHuvjvbQ42jro7zWLHWu7OCmSjZdsHYrx+w3XbAiScCjz4KXH45K5DkGem6K6Zq864XpVDIRi4CRVoaG81FKRDofmw4TAsqqetu40a2InjxRWC//XI2ZoA19zweFU8CkseUjB2FE++3NXvtxZJXRx/NH2ieMLru3L5h1oiarhW2IhCg+8dInz7mE5cUpb59k7jurrkG+Mc/eP3jj7M+Vkksxk63w4erVhUSs++rrS2+bQXgoAXjKacA330HHHgg8OabedlsZVfXXWlpbl/f9ZZSZ6eNXQSKbpitppN1nw0EmIZt6roLhXhGX389gz177pmrIaO9nZXBp07N2Vs4isRFhcRMlAAHWEqS224DjjiCv6UVK3L+dsWWdSdxvSjZooSJwjJmi4jKSvOJq76e1pKp6+7NN4H33gOOPDLnaUubNnFjaLGXFjJitogwdhSWOKporRDsAXbVVWy7ctVVOdsDJ113xbJh1ojrRQlwkItAYZo2XFGRfN+Lx5PEdfeb3zDAs+uuORmnkZUruf+m2CaPZCTbINvRYZ4u7xhLSXLBBaynGAyyZPfRR3OFlEWKbcOsEdeLUrLgqsKemH1fVVXdRam1lTHnIUOSZN3tuSeDTXV1ORsrwHEtWUIXS2VlTt/KMZh9X4C5KDn23Bw5klXoa2q4Kpo2DfjnP7P28i0tjJcWm+sOKAJRUjgLqzGlefPoDpoxI8nE9oc/0K82Z07Oxgpw4qirU6WFrBCN2rTMUG+oqGCs6e232a127dpev6TdNszmG9eLkrKUnIXce2TETJS++IKbVLfbLskLffop1cIssp5Famoojmp/kk4yS8msQniyPWiOY/vtgd/+lu3UP/usVy9VTG0qzFDRFoWtCIXodTOSKErt7SzpU1VFS6kbgQBw6KFcuR5/fE7Hu2wZF8vDh+f0bVyBbdtWZItLLgGGDQPOP5/p4z0MZkvXnds7zCajKCwllRLuHMwytBJF6YsvgOZmCkGigAFg1h2QJAMie4TDTHLYaiuVTGPEzFLq6OB9iRUdkhXbdSwnncQfxFln0Q+XIcXuugOKQJQUzsJMlABO+rKL8BdfMDt31KgkrlmZcXf//Tn1DTU1MdlCxZPS09HhwnhSMv71LxYBNtbSs0goVNyuO6AIRElZSs4iEjGfvKQoSddddXWKLpyDB/OgxYtZHiZHyHiSTdvwFAwzS0mm7yfimpiSkfJy4IUXgDvuyHiTbXMzXXfFVOsuEdeLksJZdHaaVwSQoiRdd1OmJK8cAIDlFSZNou+vB24UKyxZwlYVro6TZImispQAqspddwH77sv9CxYo5g2zRlwvSsncQQp7Egymdt999RVddzNmWKjB9ZOfMPicg5IwsvX5VlupVhWJmFlKzc3mbStcaSlJzj8f2HFHy/uXlOuOqNNJYSuiUfNNqB4PsG4dsHAhkxu23dZCcsH11wMDBjA9PMvI1ueq3t0W6urYuTUSMX04WS8l1/OznwHXXssq9c3NKQ9tbqZRldQtXSS4XpSUpeQsolGGhBIpL2dll5YW7k0qLbXgDho6FDjzTOA//8n6ONetA7q6VKsKAIyfDBvGDq1HHQWAC4aODv2QZC1kkrW5cA1HHMFsmNGjWQEiCZrG+sFAcbWpMMP1ouTKXeQuJho1b//g8zGGAzC5Lhy26OL45BM9bS9LxGLsdps0Jd3JLF3KWNwBBwBPPpn+eE0DTj6Z1z0eBtm2YBQlv7+I23qUlnLP3EMPAfPnmx4ii9qPGaM2+7telBTOIpkoAbRO+vYFdt6Zx1nq61JZCZxxRlbHGAjQ9z95sgvjSQsWcPPVe+/RV2rGp5/STASAl1/W24JMmAC88QZw220Y2BVfoDRZ24pkrdNdxy67MBP0sMNYlijBPGxuphfA7q67fFi1bjuluhEKpcnSUtiKZKLU1KS77ioqaClZWlGOGpX1RIf6eq78Xbc/6d13aSkBnETNssYuvJAiNHUq8NxzwDHH8MO44QZ2+Z0/H3j7bTz26lCEv1v649OUGx20KOfNAz74ANh7b5rboLG5aZPKupO4XpQUziKZKHV10Tsk98VGIhatlH//G9h//6yOceVKWml2X9VmzNVXs37b3//OngmPPBL/+HffAX/7G68fcghw6qnACSfQurr1Vn5x48YB772HQFlfxCr1LzIQMHd1uj6mlMjYsez1dfLJ/F2edBLCy9egpka57iSuF6VoVK3QnEJ7u3kwPBjkpNa/P113APczdYsp1dUBN9/MZeeiRcDZZ1PNFi/O2hhjMRoTI0a4JEYyZAhz7CdOpKXz0EPAT3/KqtcALaHrrgOOPVavfhuLAX/+Mz/nf/0r/vU0DTjqKGzqszX8ffVlf7JeSkVJSQlw2WXcUzBzJsp2m42Jf70KE8s3Fnpklsh1urrrRUnhHJKJ0sqVtIxGjtRdsZGIybHPPgvcdBN728ycyYD96tXcq5TFMW7c6BLX3bffMtjz2WfA//5HS+jss/nYggXAN9/wc3z1VWD5csaMOjooYoB5FdrFi4HXXsPNh8Sn4SdzoxdNTMmMykrgxhux5Mkv4Q20YuyJOyeP4xURri8jGQqp5mtOIZkoLVkC9OsH7LSTfl8kYvK9ysoNq1axTbVpCfHeUVtLq83xohQKsZ33HXcAu+3W/fHRo/m3/fa0Pq3yj38Al1wC4ffGZd8Fg3GJeYotBIPAKkxExY2PYPK6x7if6eabgV/8otBDKxjKUlLYBjNRCga5SK+upstMEo2aCNhBB/EyaU+L3rNsmYNbn7e0AP/9LxMTamuZ2HDMMdl9j4YG00Z3ydpWlJcXWUwpgZYW5pNMmADgvPNYR+vGG4E1awo8ssLhekspGlXZd06ho6O70KxcyXTZiRN1rxFAS6mbb7u6OqfR4miU8aSk1cntzIoVwGmn0V23cSNwwQXAKacwC2zlyuz9Q7feCowahV+OPRmDS2cAw84Axo83bVuhADZvpoH/44bZiROZBPHCC0w8KUJcbykV8yrMaXR2dhelpUspRpMnM74uicVMRKm0NGmZm2zg99MQcFxpoeuu4we4eDHjSN99x3/mueeYHJJNhg0D3nkHC8YeCW/TZmDCBITuvBeAuSgl61JbDASD9DKPGJGwwf/AA+kGzfZ34xBcL0qAWqE5hebm+EzJcFjv7Dp5MkXL+Fi3xX3//lx6fvttTsZXU8MxOC6etM8+TPHu6AA++ohp23/7G9UgFMq+2bfvvvhm2zPw/c8fANasgeeOW3D5N2fndMHgRFpa+NetVNWxx9KtOn06K5IUGa4XpWJdhTmRREtJuu622YYLC+OcJvctxfHhh7zMkW9t2TKOw3Gtzw89lB/m1lvHq76lkhi9ZNw4rP/DP7HvuqeAiy7q9nAxW0q1tQmuO4kQTHY4/3zgqacKMrZC4npRAlyyn6QISGxbsXgxz8+pU6kzxskrEknQnlWrWHx17lymhGeZcJhhmUmTHNj6vKODGzYbGoC99srLW3o8eqr32m0OxsP7PlPUwftEQqEkrjvJrbdSkIowC8/1olSsqzAnYkzfD4cZTyovpyj16RP/XQaDCaL06qvAkUeyPE4OaGlxaDwJAO69Fzj8cLrtjNkiOUa6W1tagLVj9gLeeYeLBlk3D8VrKbW28nMZP97kwZUruTl5/nxghx3yPLLC43pRApSl5BSM4Y3Vq3niTplCYUq0lOLKEWkaRWn//YH163MytvXraZ05svX5//7HLqivvJK3tzRavJ2dQGzwUGaT/exn7E3St29ex2M3Nm2iNptuLfj2WzYMGzYs38OyBa4XpVRVpxX2IhTSJ7NFi6g10jLxeuMW2OjqMlhK777Lsjg33cTaYtdem/WxLV3KPAqzXk+2JhJhu96jj857ox7pvvP7AV9fH/CHP7Ap1g03MDX9kUdQsnlj0VlKaV13N94IXHll3sdlF1wvSgrnIEUp0XUHmFtKP4pSbS0vTzuNRUIffFA/8L33gC+/7NW4ZOtzR7aq+Pprdt+dPDmvb2uMu7W1JbhaDzsMGDgQ+OorDN5uFMq6gnkdW6FpbWUCj6nrDmAG6fTp+RySrbB0igkh1gghvhdCfCuEmLflvruEEEuFEN8JIV4SQvS3+tx8oiwl5yDbGyS67oA0ltJpp9EiOPZY4PXX9Sy8ri7gxBMZZ5oxg+rSA5qaOIlsu23P/7eC0dKiD/6ooxgYywNer24phUIJvZS23ZaxpbIyRH55OTpjxVUxefNm7rNLariedBKr2xcpmaz79tM0bXtN02Zvuf02gOmaps0EsBzAdRk8V6HohhSlJUuoJ1tvHf94aSmPCYcTspmF4NJ8zhzgJz/Rg8MPP8xNTmvX0h/o9/doXGvWOLj1+S67cCPm3/7G1MEhQ9ikL4+0t5u0rTjnHODqq1H2wD15Tb4oNOEw45MjRqSoybnDDlxcyf7oNsK4gT1X9NgZoWnaW5qmSYfKXAC2qwaWrMCnwp5Eo3SPyQ2ziZluHo8uSqbf6zHHUJjOPhs4/XTui5k9m3GmceM4EQL0J2kaxcpofiVh8WLWbXNk6/P+/flZ7LknXUL9+rGUTY4xWkodHQntY2pq+CUb0p2NxVvdjKx1l7IX11lncXPeTjvRyi0yrIqSBuAtIcR8IcQFJo+fB+D1Hj4XACCEuEAIMU8IMa++vj7ZYQoXEwpxcmpooJWU6HZNailJttsOePRRuu9qatiw7q9/5WMHH8zV59FHU11KSujUf+ONlGMKBBiUnjTJgfEkIx9/zHJDX3wRX9k2D0SjCb2U3nkHaGz88UsspoVjbS0/j5QFfSsrgb/8hamec+fmbWx2wepptoemabMAHAbgl0KIveUDQogbAEQBPJPpc41omvawpmmzNU2bPWTIEOv/QQqUpeQsolG93JdZKR9pKaX8Xo89lv62Dz5gNp6cgP/yF/ZOiES4MREALr+cdcZS0NBAr58j9ydJNm5k8dUnn+QKPA/IhBWAC40BAwwPvvoq4yah0I/tRorBUgqHucAZNsxCO51332V5/N13z8vY7IQlUdI0beOWyzoALwHYGQCEEGcDOALA6Zomm9lYe65CkUggwKQCY9adEaP7zjSVNhUeDxVmzhxmfwHcVDp/fsqnrVxJC8mR8SQAmDePvqJLL2W5oQIQDBrqT65fzyB+RQW/xL32wr4bn9V7YbkYmXWX0nUH0NI/7TTgmWfobrUZuV7opxUlIUSVEKJaXgdwMICFQohDAVwD4ChN0wKZPDdbg0+HspScRWsrwz2TJ5tnTBpFqVctmWfN0rObUlSAiMUYTxo2zMEZnA88APz858A11+T1bY0xpWjU0EtJmsJPPkmz4cQTceqiG9H3pyew7ciTT7pWoDZvZghz7Ng0B37xBeOABxyQl3HZDSuW0jAAnwghFgD4EsBrmqa9AeABANUA3t6S7v0QAAghRgoh5qR5rkLRDdlpO1kV7rIyWlPRaBZqiT7yCAP/KV5Itj53tOtu+fKCT25xDf523JGT7nvvMSf6sstw9WHfI1I1gCJ1zjnMmnQZ0nU3dGga193ixcAf/8gs0iIlrR2hadoqANuZ3D8pyfEbARye6rn5QllKziEWY7hnwIDk9VRlogPQy0Lgf/0rC5S++GLKw+rrKZSTTH/pDqGzs5dmZc/w+ZjLUFdncg7uHO/BD3mq0HD7I6he8Q1wyCFMyPj6axaPPf10V6SM+/3MvEtZyq62lv/v9dcXfCFRSJycT5SWYgieugW/n6IzZUpyV5nXS+GKRHqZCff888DIkUyKSMHKlZzPk+68dwIHHsiVdwFcYuEwz8F08T+PB+gICMb3br+dGZGRCKu+y+xJh7N5M/+lMWNMHuzsZPzo3HOZun/ZZXkfn51wvR2hLCVnsGkThWbWrOTH+Hx6T6UeL/4XLaIf5YEHUq7AYzFu4h09ugdJFXZi6625cTYYZHJBnpD7kurqMvz8Ghri43yffmrah8lJRCLcoTBkiEnD0a4uJqD4fHRt3nijKyzD3uDqKdusvbbCfsRizOKuqEhd8svjYTwpEunF93rBBTSB0mSi+f30puy/fw/fxw7cdx/T3l95JbkgyY1hXm/P9y/FYkwrGzQo7u5olHen+648HoNXY/BgFmy97TZmDrqgdUNrK7NKt9/e5MH33uM///77Dt8Ilz3Up6AoOH4/T9qJE1NnuZWV6e67HllKjz/OWMWvf53Wati0iUkVjo0nzZtHQbriCuCII7o//u67wFVX8QMfP57uTFnWZulS4Nln079HKES309SpFJPPP//xIWkphUIm1kE6vv6a1TlmzXLFRF1by9+s6YZZWZzTBf9ntnD1JxEIJJQ3UdiSzZsZf0jXFkKKUjTaQ0/UBx+wmkNzM7NgUrBiBd1OI0f24H3sQGDLLo177gFee02/f8ECJhNceCEnw8WLGW+aMgX4v/9jAsjUqQy4b9rETDgh2NnXyKefUm3uv58W2W23xbXurqigILW0pBcljyehVu6OO1IgXeDGikToLR48OKEorSQa1b8rBQCXu+8U9kfTOPcJkVCKxgSj+65HltKjj3LSPeIITrr77mt6WDRKY2HChF5m+RWSvfem5bLbbuxi+uijbOtx0km0oF59Nf5DPO884L//BX71K24w/vBDKvJuuzE9+bjjgP/8R6+b196up3cDFLLx44GZM4G5c7Hbgo3YurkE8/vcC6/XYk69prEZ4Ycf0uflAqTrbjuzHGRN43dhbLWicLcohUIqpmR3/H6euP376+2zkyEtpVish6Lk8ej9J1LsT2ppYTp4jjqr549dd+WHKs3Kl17ipcfT/QP89a/5J9l3X8ZzTjyRK4b77mMttn//myK11160svx+Wp/jxjFz7JNPgL33Ru1AD2bcez78c59CybSjgD99DvzrX3QZHn983Fv7fECwLQKMnwSsW8fv6PVkpTSdRX09vQCmWXfBIDMgirCUUCrUlK0oKLW1XDAOGMATOBVlZRSkcLgXFszLLwP77QfssUfSQzZt4nzh2HiSkfJyiss339AEbGxkGlg6KiqAk0/Wb19+OWM9J5xAN92ZZ9Iy+v57/bP8+OMfD695A6h9fwkmrfwcE1a+Axy8A7+03/6Wn/+338ZlkRxy5JYvtLXVoeXYuxOJsKrSoEFJXHfyM/6//6ObVQHA5TGlzk4VU7IzRtddv37prR+vl4LU1dULC/igg5jp9Mc/Jj1k4UKO58cqBE7n66/5YZeW8p/qaazmqadYruissxiYX7KE7RVMqKgAnpv9Rzx40gd4/XdfMTb13nsMIA4axM2hW2ZqjwdYeO7dfKJL3HYAS2Y1NqbZ5/anPwFPP031UgBwuSgp7E1bG3MOhg7lfJmudJDHQ0GKRHpoKYXD7K80dSq7sCY5ZO1axpOU69eE22+nSfvRR/yg0nwRoZAhVlhaSmF791266drbgY8/xjlzTsT0x6/kMY7NLOlOfT3//5QFWAcNorAvWJC3cdkdV4tSMKgmFjtTW0t33IgR1lxysqJDMNhDUSop4RL+xhuTFthrauK2HUfXu8slJSVMJdtzzxT9vOk1jEa5BScugeWww+i2W7KESRPPPYfRjd/hvd+8T5der4sa2oNolJo9cGAS150RudpSAHB5TElWKVbYE1nFYehQei/SbdXweilIcmtHxng8DKDvtRezykz6UdTUUPgmT+7B6yviiEb5Z1rRYcECBvgffBDvH/oYYtP2LWCVzHgSy5NlejsWo5W0YAG3Wq1b1/09ZGUSABjRGkHz+hjal5k/DvBzTPZ8wFzTEo+JRDiWpibelnUkrb5nKMStEmeemXqTe29xtSg1NgKrVzP7FWDMoqwsPvmorIyTncfDS7kCl9cT71NkB7+frjtZeiUatRZTikZ5Avb4u9hpJza6O/dc7ltKYMkSrm4HDuzh67sIOdl2dOh/8nYwyJitXPjJ6/L24sXAW2/x+1qyhAZqOMzQVjQKnFJfjmtq/oGF5TviZ5+di4mb4/IkAJgvKo0TZeKkaXZfpreB7t6V0tLuYbjEYxJvywKsXi/DaKmOb9ruNGx1/+/x1ej4WoyJ50Pioi3dGBJvR6NcCFZW6pXKE8+jxBh84u3vv+ecmktcLUobN/LkkV9AJKK3PpCpxYAePJcbM+UPVU6A8hLgD9Tj0S8BXkqhk94Hr5c/IjMRlLelIMrXSCaExttuob6en+mwYbwdiaTfENunj/599PjzaG/nmfnPf3Z7KBhkuaOttirsBvtoVG8Nn0wMAB6TKAahEH/P8rbsPyV/06GQ/vryvYx/xvsSf9+Jt+WEJa/L3zDAmneBAF1XEybwu/P5+HhZGdAQvQDfvv0ZVs84CgO+ZGjl4IO7T4KJv4lEqytxY27ibSG6t4pI95zeEgxya1hzs8XaqkeeAvz1PBxzWCinmVmrV/O3sMceCZ2AM8CwPzpnuFqUAGaXZrN+mTzJ5V/ifdGofr8siSNFMPG2TG8GuouinCCMoigFzyiKxslCiqIURHmfUQSNxxqtRKC7KCYKYzbZuJFjlOXWIpH0LaKzYinddBP34Jj0x2hqol7ttJO+GpSiIN2GkUi8GAC6KMjvUl63KgZmt5MJQTIxkJ+P18v7pADI6/I5FRW8Lif78nJOyvIPiL/eU957j/kMO+6o91OMxwfgn9gewD17c3Fy9NG9e0+7sHkz3dGWtx/5/fxS/vEP4Kc/zdm46uv5ffe2YWWuM5pdLUrBYPY/wEJaLWYimCiOUhSlAAL6ZCqtRCBeFKUgymPlnxREQBdFOQEmiqK0BI2iaCaCsirDN99wFb1yJe9bvJjHxWJcSPTpw7+BA/WTyOtl8Li0lMUKpIjL/8co+PK15P8HAAOWfo6DH34K/7nkA9Tdo/9f8n/9/nvgyy85oUixThQHKQJGYTCKAcD/yygEUgSMwmAUA6C7MDgd6ZJ1dIX1HrJiBc+1XXe1+ITBg1nF4sADWW1Eug+ySDTKBJ6RI3vfXivXuSiuFiW3UejYVioLUd6XKIpG0ZCiuH49/8aPZzC4q4stdABuqZFCYbQcheD//fnnnPBiMV0IpOBVVfF2aSmFrLycboo+fXjstKfvQvCK63HARazqkGgR/va3fP5jj7kmCaxgSHG1Ikpeb/pqHk4hHGYS4YABFtqeG5k9m9kDr73Gkk9Zxu/neZRQyN2WuFqUQiFuglRkh2xZiZ99xorJBx2kW0Fff83z8qyzzJ/T3s6/n/yElsbFF+spx5EIJzUpYtJ9Fggw2SUaBao3LsNu7/8Xf579ZwSeiHd9VVTwdV55BRg+HPjDH/iY0eLp35/HDRqkWzT9+qnN2ckYOrSXm5wdysaNLMC66649iEtOm8ZGhzkQpcZGLrScMB8W2U9GUWhk+55Bg+J926FQ6kQH6c6TrrBkLdOTcsw1wE034dKbRiEcpsAZL+fNo7BNmUIxamvjn+yeKsVOxpaiUX0fnMdDi0BelxabxxMf4O/bl9crKzk5lJdz8nab606iadb+p7Iy92zfWL2avynT3kmpWLuWwbcffsjFsNDQwPPGCb8xV4tSOJzXZpsKC9TX06IZPjz+/mjUmtVRUtKDFWggwH0B994LgAKRmPL97rsUimuuSdL3JgkyEaKujpetrRS3zk66TKTV1tjIJApp3cnEB6PIAd1FzufjRCJjV9XVutuyb1/+vvv312NURpErJNJSsjIOt7QSCocZlxwwgA1/M2LYMH5ol1/OskNZJBJhEs/Ysc5wS7talBT2IzHrThIKpc++A/QSbhkxZw6LgCYpQhaNsj3QsGGZCRKgC0A26uQZU8Dr6ihYLS16pp/fz4mvrU0XOJk6brTejJtWjSInrbeqKt0VK12UUuB8Pk6qxv+rpwKnadbdd26wlOrqaCntsEMPhLa8nAHWIUOAF17gvoRZs7LSU6qlhb8Hp+y9c7UohcPFmf1jVzo76UaQyQdGrDbu69E5unRpyppqDQ2MA+yzTw9eO4sYLRyTYhMZYRS4jg5aap2dnKBkCrt0UTY2MmNMWm9S5IwCZ+ailJZcZaVuvUmR69+f55+sHpAKn88dorRqFV13s2f38AV8PuCJJ5hps3w5VeQ3v6FPeeLEHgtUYyNdpDKeZFbpIdVt432a1qMhZISrRQnQ4wa9zc1X9B7ZFnrkyO7nVzSaQ5fTokXAc88BTz5p+vCyZfyNpOhm4Tiy7cJraKCAGQVOdpZNFDljHG7hQv4ZNwG3tFDwpBDV1PA5sl9gXBdadM/MSxQwY9q/2TGa1r2kjtlrpHpc07pP1sbnxGL8HUWj3OawenX6UkDmFSmOA049DojFMOGzZzDxyjtRXbcS4aoBqJl+KBbv90u0Dx6f0WsuW8bxr1ypW3DpqkMkeiPk7XDYmkejN7halCor+UM/4YTkO9ST7UEx7k4324To83HlKF0e8ouSwUQZmAfirxcztbUUI7NtGJnUs8t4tfb++3zxYNDUdJ47lyddj1e4NiWxGoRxIzCgC4uxQoSxOoSsDJG4D05aVPI5qTYBf/opKzVISkp4bgmhT4ytrfxa/vpX3jZz+SXGGxOPSfd4Ytaox9N9Yja+hkxOSfUeZWX6awQC/FynTYu3chP3BCWOK/Fx/XYJcOCZ8NxyJjo1DWWffoCJ772Jaffsjra5i4D+Ayy8Br+fN99kpfIZM+LH3BOWLMl9WrmrRemEE+ialZONTCs2Xu/o4EkZCPB+eZIaV3LyRJU+feOenHRlW4wnqxRAIbpvPk1WskWeGEZRlIIIxItiRYVeVkUKoV0EMRikz33AAPMebuGw9XFm7MW49162Aq+o4JdoKNscjXLD7OjR2eufZMzWSywVlKpmnBUxkGNOJwby9ybrtplViDBWg0j2m5PuOHnbWA1CXpdJFkB8JuHgwcAppwCPP57683r4YcYaf/vbjD9q27BmDc+7Qw/Nxd5XARyzH/82r0K/x++z/GE1NnKe69dPzzSVG9zln93S9m02nOyS2A6h0BO0FEKjMBpF0ThRSVE0TlZGUTQrX5NskjIrXWNWx0xOSnISS6xUkCiKxslJiqK0EoF4Uayr4xgnTzYXFauWkhB6zcJEzDb1AkB491MwFqfyRt++WPHEJ2jZdg9EIowlLV7M1e3dd5vXjDMTg8TP2HjbSs04KRbJrHKpm8bP3EwMgNyUCcoGpaUW2jaA/0+i+8xJxGL8HVVUWGvq2yvuuguYORM4/XRLpezr6mgdjRoVXwNULnza2uh5kOe6LD2WhfyKHuNqUbIbdhLF9nZ9kjWKonTlJIqisb5bOjdONMoTNRbTb5eW0kpavJgTVeKEvW4dcMkl3U8Or5cnk0yN3ryZ7ocbb9TTw0tL9UvAvGDuSaNmYlDNdwCASefsieef01BSwuA0oO++NxMDIH8149yEptnDSs81gQAn/7Fj85DePnQoTzYLaaKaRgtUbvyWGCugAHqZMZnZGYl0LxCdz1RyV4tSMe4oT0UhRbG9Xa+fZ1a774sv2Aw2FOKxgQBFrb2dJ4nfz9JE/foxKalfP75eOBy/qpOWh6zUUFoKVEVa0LLdPqhuWQdvRwu+fnAuxo7lSblgAfdMnXMO3S7ZSu9W8PuzEn/w+cwD9E6hsZG/z912y8ObbdjAH6qFVNVgkNmP226b2vKRXZ+l5S2TOsJhLlJbW/UyX7L9SC5RU7YiL6QSw/Z2Zr0m6VAex0030Zq56irz15EiJ69Ho8DWh82CiESw4cRfoXHkDNSM2AWRDRS+r7+mED7wgG79yZVippUa5IrU7ZUarBKLZVj/zYHEYtwz5vPlaTHz1FMs3GqBpib+pjMdlxQgY+hDLgCNBY9zhatFKRJxXx8iNyKDr70lqfBF2oGDDsLEx3+DiQB22nJ3UxOziQ48sPt53tHB6hMy7tfcrLs301VqSFaKyA2VGjLFyngrKpy7T6mzky6yvFRLuPtu7mP6/HNLh2/ezN9UT3snGSkt1ROpco2rRUnhDMJh627Wrq4M3QcbNlBdbr+920O1tZwMzUrCZFMAZPadFLlMKzUYRc4OlRqsUFfHSydUpe4Nzc38TnfZJcdvpGnAdddxFWUxnrRpExc2Tisa7GpRikaVpeQE2tuti5KmZbBa++orYOedeT1xRyZY6KGionsdvmyTq1JE9fV6nb18VmqQCR/GiumJ/9vq1fyeTD52U5wYU9I0rnlKSnLSAikeIYAzzwQuugh4/fW0GRWBAH8TO+xQ2Ey6nuBqUVI4g0wspYzYfXf2wthvP5ZpMRCNcqf7uHHOWrhksxQRoBeSzbRSg9FNKS+N1pvMkrSC01byks5O/p/jxuUpoerhh7nIeuMN4PDDUx7a2Mh4V7ZT1POxeHC1KClLyRlEo5l1w7Q02WkaX3jkSOCMM7rNGn4/XS+Wu4O6lGwG543V0j/+mGVtrDbvc2JMqbmZYj1rVp7esLSUe5TWrUt76KZNXBw4oX9SIi4pGm+OE10CxUimiQ6J9b5MEYJ55r//PUs2JFBTkzyepOgZVVW03qZP56XVtjFObC8jYzZmFe9zxrJl7ET5k5+kPCwWowU3aJAzrVBXixKgLCUnkEmWZEZJDjvvDOy/v17p08DixVxFqj1JuaGlhcapEy0gKwSDzLobPTozK7/HtLcDxxwD3HEHMGZM2kNbWzNvw2KVXAudq0XJ0opaUXAikcx2wmckTHfcAfz5z3ER93CYlRwmTFCbq3NFKGR9si4vd55Xo7mZE38afcge//gHMHUq8LOfpT20sZGOAqdmPrpalABlKTmBTGNKGWUT7bQTsOeePKHnzgXAVXxDg6XSYYoe4vdTbKzGlJyEpnE7gablzhrphtdrOYd/0ya6RM0KHzsBV4uS01ZfxYqsoGCVjERJCO6C//nPWcwSjCdFo8A222Q2ToV1MokTVlU561wNBvkbGjkyj4ve6dOB775Le1hXF+NJQ4c6d0HualECnPvFFBORiDVLSVZ979EEdswxLHQHxpMGDuSeG0VuaGtzdqWGVPj9dN1lIyXfMg0NlvqZt7UxppS35Isc4GpRUjElZ2DVfRcOM8jao+91wgSgvh6Rt97HqlXss6XiSbkjELD++TrJUpKuu64utoPIG1tvzdVUY2PKwxoanB1PAlwuSoCylJyAVfddOKxXMs64/47PB1x/PUrOOBX7/udSTB+R+uRW9I5QiLUI3WYphcOsVj98uGkT49wxaRI3gp94IvDhh0k/2I0bKfJOjScBLhYlJzcNKzZiMb0BWSpk5QfZ/iJjrrkG8/+xFNUdmzDz+EnARx/14EUUVujosJ467CRLye/nX15dd5I77gD22AP49a+ZuDN/ftzD0Sg3L48Y4WwvgGtFCchvYypFz0nsEJzqOFnKpqeLjiWb+mPOOf8Crr8eeOaZnr2IIi3RqDtjSps307LPW9adEY8HuOUWbga/6y72Xl+69MeHW1uZhOH0vXeuFSVlKTkHq80Ye2spBYPAmjWMJ5Ucewzw0ku5bw5TpASDmTWUdIKlFA4z685ij73ccvzxwGWXAXfe+eNd9fW8dHI8CXCxKAHONmGLCasVHQIBJkT01FJqaOAepalTwU1KM2YAt96a+1aaRUg0Spesle/JKT2i/H724LJN48Lzz2dx1q++AkArrrqaf07GtaKkLCXnYLVwrtz7Ul7es+939WpWjhg/fssdjz8OvPYacOWVmb+YIiXBYGYp906wlOrquIDKWxWHdKxeTTdDaSnCYY5v2DDnhy1cbUs4/cspFqyKkrSoZGvmTFm8mP72H91KY8eyN82UKcA++7BWnpM3eNiEujq9o25bW/rjnWApRSLsnTRoUGZuyZzy0EPAhRcCs2ahtZ7nRM77OuUBZSkpCk4mouTzcbGR6co6EGA8YOutE+rsDRkC3HcfcM89DDaddJJy5/WSjo48p0vngbY2uu4KknWXjLFj+aMG40lCAIMHF3hMWcC1ogSomJJT6OqyJkqykZzXm/mio66OE4tpq4ozzgA++IBVNpcvB268UVe9b7/lUn7aNLZxVaRFWko+n/XvyeOhmNmVhga6JG3jugNY5G5LlYfNm7k3yQlWZzosiZIQYo0Q4nshxLdCiHlb7rtLCLFUCPGdEOIlIUT/JM89VAixTAixQghxbRbHnhJlKTmHTCylsjJaOpkmza1cSQsr5aTi8wFvvQW8/z5rjYXDwFVXATfcwCXovHmZvWmREgz2YpOzDYlE2Fdv4EAbbUptbQUefRQ49liEwxTN4cMzq7ZvVzL5F/bTNG17TdNmb7n9NoDpmqbNBLAcwHWJTxBClAL4C4DDAEwDcKoQYlovx2wZZSk5A6uWkhSlsrLMRWn5cp60aSeVoUOBzz6jKE2eDLz3HnDeecBhh7Gwayxm/U3ffRd49dXMnuMCWlq4Ys+k746dLaWODk76PybIFBpNY+bd8ccDu+6K5mbuB3NDPAnoRaKDpmlvGW7OBXCCyWE7A1ihadoqABBCPAfgaACLe/q+VnHDCq0YyKSatHTfeTyZxZTa2xmk3mWXDAb2wgvA119zcMOHA5dfTpHZd1/gyCP5Ynvtlbxk+XPPAZdcwuX1woXA2WcXTRJFZ6cuSE7IqkuHdN3ZJhX8mWf4W1y/HhACdXX8meZjf1I+NkNbtZQ0AG8JIeYLIS4wefw8AK+b3D8KwHrD7Q1b7ssLylKyP3JDrBV6ainV1zPRIaPW5yUlwOzZwA478HZFBTBnDvCLXzC4vM8+zNwzQ9OAv/4VuPpqitOzzzImNWIE3S4ux+/nHiU3WErRKBc0/frZqKr8jTfSUtoSQNq0iR6Agm/ozRJWp+09NE3bKIQYCuBtIcRSTdM+AgAhxA0AogDMaraYLSNNU5u2iN0FADA2C0sSZSk5g0wspVhMF6VAwPp7LF/O5/S6NIzXC5x6Kv8GDgTeeQc4/PD4YyoquKwWAnj4YTZt+u47zm4nngjsthsz/PbYAzjgAHcEARJoa9PdsU4vM9TRwcQNWzWEPOOMH0+AYJCFw7fZxj0/JUv/hqZpG7dc1gF4CXTLQQhxNoAjAJyuaaZ5tBsAGEPLowFsTPIeD2uaNlvTtNlDhgyx/h+kIJNuporCkImlJGvkZeK+i8WAZctopGR1f8mQIUwj33pr7m86+WTg0ks5S8yfzzc2dhH0eID//Ae49louvc85B7j4YvZBcBmhEKsKZLpyt6Ol1NjI+d82WXcbNwIvvggccggApqlHIvmNJ+XaIksrSkKIKiFEtbwO4GAAC4UQhwK4BsBRmqYlW7d+BWCyEGKCEMIL4BQAL2dn6Klxgy+7GMhElGSNvEzcd+3tTJedMqXnYzTlwgu5hH75ZeD++4GjjwYmTgT+/W/d5ZeIEGw/8Pe/s6jm2rXACWahWGfT3q4nlFg9D+3oau/qoqe2Tx8b1ZO74w76EffdFwBF0+OxkWsxC1j5KQwD8JJgQNcD4FlN094QQqwA4APdeQAwV9O0C4UQIwH8XdO0wzVNiwohLgbwJoBSAI9pmrYoJ/+JCaqig/3JNKbk9VKUrCa0bdrEwHvW3S9C0FqSVv2uu2b2/FGjgN//Hpg5E3jlFeZQL1sGPPYYLax//jPLA84f0SjjSZnElAD7WUqBAH8/EyYkz2fJO2PGcGLz+aBpNLr797fW+sUppJ0OtmTObWdy/6Qkx28EcLjh9hwAc3oxxh6hYkrOIBy27mYNBilKmWye/eEHTo4FaTWQjkmTgJtvBh54gDP5iBFMjjj1VOC222h5OZCODn3lbjWmZEdLSbruxo0r9EgMHHgg45iXXYbOYRPQ3MzdC7YRzSxgw59C9lBdZ+1PNJpZSriMKVlpiR6LUZTGjLFp2ZuKCuA3v+l+/5NPAgsWOFaUQqGexR2CweyPpafEYgzf+Hy6MWwLZs0CDj4YeOQRtFx8O6JRG7kWs4RL8jW6o9rkOAOrDf4AfZOt12vt+/X76X6ZOrV3Y8w7Awdy8EZuvpk7+Fetsv1m3GBQnyidGlPq7ORvZ/x4m1kh0Sj3OAwfjtpangtbKg25BteKEuCeFEk3E4lY/56kpeT1WpvsamooepNMHc02ZvhwZucNGcIZ8YkngJtuAv7yF2b7lZZyQ65NCQa5hcaW1qlFmpqYsGGbKg6S668H1q+HdvoZqKmhm9TJn7MZrp225UZLhb3J5Hvq6mImlFVRWrGCJ+zw4b0bY9754x8ZmJk3j5l8F14IPPIIK0zIIM2bb9rL32UgGmW1pqoq65aSz0frxA7EYlzQlJXZzHUHcNPdVVehs2Ig/H5g5EibWXJZwGZGs6LYkKWD0mHcZGtFlGIxnr8TJjgwtigE06nGjaMQGSkpYVrwLbdw5j/zzMKMMQkyg87J1aqDQW4fGzvWZm7FSAT44gvgllvQ2MhF2tChhR5U9nGtpWR1slMUFquWkjF1XDb6S4Xfz4nFcfGkdAjBDbg77EAX3uefM/ixbl2hRwaAoiS/p0wsJY/HPtUfmptZDcp2rrubb+aGu+nTsWkTrct+/Qo9qOzjWlFSOINMRCkTS2ndOgqX7SaWbPH118zSu+wy+nDGjaNgvfhiQYdVV+fsGIemUeNLSmzm9l23jhu1d9oJGliE1Y3xJMDFoqRiSs4gE/ddJpbS8uWMP9lqYskmLS0sVfHll9x0++STvP/ddws6LFlhAHBmTCkUYir46NE28rQ88AAXHdtvD9x2Gzo6aMmNHu2+eBLgYlFSOIOeuO8AWk3JNtBGo5ynHRlPsopxNtp6a27IAoBbb40/bt06+jCPPTYvs35np7PjSc3NdP3axsKeO5d72W69lQV+y8rQ2EiLzm37kyR2WQtknUjEXaU33Iqs/J2ORFHyeJLvcWpp4eSy115ZG6b9eeklXq5bxw/mzjvZb+ff/+b9S5eyKvmnn+Z0ed3S0jNLCSh8TEnTGIfUNHpEbcEjj7DY7w03/HjX5s383bup3p0R14qSwhlY3TybWI4olaVUU8PJMKP+SU7n44+BCy4ATj+dgZ2GBjYmfPJJtsrYsIEFADduZN29HBEK9cxSsoOrLBzmb2f4cJtY2LfeymaTCxb8eJesNDF4sE3GmANs8FPIDSr7zhnIyt/pSCxHJC0lM5YuZZXqwYOzM0ZHMGAA8K9/6bc7O/VaP+ecwz1PQM5PCr9fbxHiNEuptZUW9m67FXYcePNNZto1NvJ7M5Sbam9nhuOUKe6MJwEqpqQoMLLydzoSLapkohSNctPsxIlFvigxFp/74AM2GGxoyHnjnXA48+rggD1W/bW1XCTl0JBMj6YBhx7KgcydG9+TC6w0oWnuXnC5VpRU9p0zkKWD0pFYjiiZKLW0cIHpuv1JveHCC1kzLw+R8bY2NviTZNLmvJCWktF1V9A064sv5uXee5sGjTZv5npD9qvKN/noU+daUVI4A6ui1NkZv8goKzMXpbVr6dawVbuBQnPmmcBTTwGLF+f8rQIBZ1pKfj8XMwXPunvySbYv+f3vuz0Ui3EP1aBBhf+8colrRclqVpeisGRiKSWmhJut2pYu5S53N7s3MmbUKJqOBxyQ87cKheIX+JlYSoWkro6/p4L23YrFWOPo4otNqxS3tTGm5MZ6d0ZcK0oKZyDbUaQj0R1r1ugvGqWXatKkIo8nmXHVVfT9LF2a07cxNvjLBJ+vcI05IxG67gYPLvAeq5ISYPZs4KGHTB9ubKQYFbpVRa7dm64VpUz69CgKh1VLKRqNF6WSku49lRoaGFPKeutzN3Deeczouu66nL5NNBo/aTnBUmpr42+n4K47AHjwQeCxx5h1l+AK2LyZn60b690Zca0oKZxBJpaSMaGsrKy7KK1dy8ykCROyO0bXsPPOwH//m9O3CAZ7Vrna6y1cokNjI8c9Zkxh3j+OHXYATjsN2G8//sj/9CdA09DVxXjS0KHuX2y7VpSs7n9RFA5jkdV0JMYIPZ7uMaVly+jacOtO914j/T41NTl7i2g03gVmd0spGmXhi8GDC5fRFocQwN1303R77z3gd78DVq1CWxuTSHKc0W8LXCtKCvuTWDoo3bHGFWKipRQOM5601VZqMZKUQICXjz+es7foqaVUqJhSezu7i48dm//3TonPR2vp7LOBu+5CQwP1qhgSeFwrSlY3ZSoKRyaWUqLlmyhKDQ1M650yJbtjdBU1NSy3cMUVOXn5urruCwK7W0pNTdRq24mSZJ99gHXrftyfZNwD5lbUmlJRMDKxlBIXGYnuu9WruZK0RVzAjrS3sy7effflLMWso6N3mVn5tpS6ulgSsF8/G7t86+qgecqweTNdd8Ww0HatpWQ1q0tRODIRpcTvM9FSWrqUIZNCp8vaFlmQ7p13mA2SA5JZSsFg+uf2ZMNtb+noYEbb+PE23vcTjUK88jKqv/mwKOJJgMtFSWFveitKsZj+OmvX0nVnsudQIfnFL4BXXslZmlsw2DtLKd/nbFMThcnW1vU55wAAgv1HFEU8CXCxKAHKUrI7ie0oUpEoSsbNs3V19E5NmpT9MbqKF17gpWwImGVaWrp7Bq12lM23pRSL6SE2W0/2bW3QSkqAUaPskR2YB1wrSspSsj+J7ShSkbifyePRW6KvXs1LW6947UBdHU3JmTPZpyHLdHb2TlzyuU+ps5Ouu7Fjbey6AxAdPBz1U/fBtCUvFk1WqWtFCVCWkt3JpOqGmaUkY0rLljEN2bbBartQUsIPfeZM4Pbbs/7yfn/3bs8ejzWxMW6MzgdNTazkYNusuy20tpVgyYGXYMKDV+k9sVyOa0VJrqIV9iUQsB4DSrSUvF7GMIJBxpMmT1bxpLTITITvvgNefDHrL9/W5oyFoHTdeTz234za2Aisn30sIr+4DLjxRj2Q6mJcfRo74QQpZhLr2SXDbD+T18vny3hSUbU+7ym/+Q0vd9gBeP/9rL98KNR9H00mMaV8udyDQTb0mzDB/guZTZv4mZZddxUH/dOf6pugXYrNv5Keo2JK9iexHUUy2tu7H+f10npatYrCpuJJFpg9myUvPvggJx9Ye7tNSvWkobmZITW799yKRLjoGjYM8FT5WHYoFAIOOywnMUG74FpRApSlZHesdgdOZSktW2ajumV2Z+5cYOXKnH1Y0Wj3RIdMYkr5SHTQNFofJSXsMmtnWlv5mfxYtmnAAODpp9ki/dBDc15ct1C4VpRUTMn+ZOK+M7OUgkHuyFfxpDS0twO//jXwn/9wn1KOSNZLqZBtzhMJhYCNG2ko2j2brb7epH9SaSnbW+y6K3DJJTnbCJ0M1Q69lyhLyd5Ydd+Fw903ZXq9DKz7/SqelJLXXgO2247mwZIlwBFH5OytQqHuWXRWz8Hy8vxMeK2tznDdAUxZr67Wi3H8iMcDXHopT6A//rEgY8slrhSlQnWwVGRGLNY9hdiMZJts/X4uFEeNyv7YHE9NDXDiicBll3Fl/Y9/5NxfFQwCgwZ1v98ulpKmcaLv6rL/byYSoaU0bFiShduECcCzzwL33++6Cc+VogRY35SpKBxW9ykl22RbX0/XhoonGejq4kS13Xasu/T998Ahh+TlrYPB7hUdrFpKVVW5t5TCYfZOGjXKeiWRQtHcTGFK2QZk112ZM75sWd7GBeS+ZbzNvao9w2ULB9ditRGjmXhFInTfjRmj4kk/0tYGbL89d4R+8kne+3hEo+aTqF3Ox7Y2lkLadddCjyQ9DQ28TFlgeMkSnhjTpuVlTPnCtaez3YOYCus9ryKR7sLT1sZJ0MxdVLT4fAyYXH113gVJ9kwyq31nlVxbSrW1fI/Ro3P7Ptlg82Z6ALrFk4xstx1PBCsbwRyEK0XJLiszRWqsthcxSx1vbORzc+1KcBReL/DUU8DPfpb3iaqjI/lC0EpMKdffYzjMTM1hw3pXyTwfhMO0lIYNSxOGKCmxnnPvIFwpSoCKKTkBq6IUjXaf8GprmemlNkkncPjhTEe89VbeDoeBL77I+dvW1ZlP9plkwObyu2xv50TvhKy7lhZ+bWnbysteIXmOKeUaV4qSspScQU8tpXCYllK/fuq7NuXOO4G77uKs5vMxiLJ8eU7fsrExuaVk5TvKtaXU0MBxOEGU6utpBKV1TVdWAnfc4bq0cFeKEqBiSk4gschqMhJFqb2dHou+fV3nTs8Os2cDRx/N2Q3gnpZzz7XWAraHdHaaC0shOsomEo0C69ax8ocT3L2bNvG3bWW7BMaN425gF+FKUVKrZ2fQU/ddQ4MeT3KZOz17PPUU8PrrVP577mEaV0UF8OSTOXm7lpbeW0q5ct9J19348bl5/WwSCtHqNI0n+f3AFVcATzzB28uWAWedBVx4Yb6HmVNca08oS8n+WLWUQqF4S2nzZs6xlZVKlJJSUcH6aJJHHwX22w/4wx+As8/O+tuFQva1lJqaaMk5oWhvS0uK/UkNDcC99wJDhlC5bruNpYa2tEx3C8pSUhQEsyKrqY6VohQOc2Ph0KEUNCVKFhkyhH/XX5+Tl/f7k6cvW7GAcmUpdXXRddevn82bQD79NHDmmWid9wNKS5PsT5JlKA47DLjqKuDmm4Hf/S6vw8wHrhQlQFlKdsesyGoyjBaV38+V5JAhXIWrBYhFnn+eJuYJJ+Tk5cNhc6uo0JZSIMBMTdu67hYtYsbkL38JrF6NrY6dga2/f9E8nnTbbbzcfXfghx+Aiy7K61DzhStFSU1U9icTSykS0YO+MsurTx9lKWXEmjXcqPPaazl5+ba27g3+JFa/I49H34SbLRobKUy2anve1aVX9160iLG/N99EaM67+OasezH1XzebnxsdHcBvfwv8/OfApEmuLWXiWnvC7rWtip1MLCVjQkRtLVNlfT7+NTbmboyu4le/ot/zhBOo6BdeyLTxLBEImFtFiVXD84lse15ZWeDKHzU1wJlnstvvpEnAihW8f8QImv433gjsthuaNwM/7Hw6Zj/6C2DpUgbC3nmHm8DGjweee47tR1yOK0VJbai0Pz0RJbk/afp03q/cdxng9TLJ4aabGL/429+y+vKhUPKYTSbnY0dH9tK2OzuZXj1uHPsSpWXZMgpFNiv8BgIUnUAA+NOfgIMPBiZOBP75T6YFXnzxjxZPfT2A6mpEDz0CnqlTeYKcdRYtqbo6ZlHuskv2xmZTXClKgKroYHd6Ikp+Pz0fMgjs86kFSMZUVgLHH8/6eFbLtFugo6P3MaVsx4GbmznvW9ow+/nnjNX070+zato0ilN9Pa2bP/whTSG6LWgasx4/+YS16RYv5g/3nHOYzi0577xuT5X7k0pe/i/QscUfWoQTmStFSa2e7U+yHklmyESH9et5KWMX+Wqh7ToGDwb22AP4+9+zFiyPRtmt24xCfEeaRq+Zx2OhXA8AvPoqNxlfcQWFaOVKvQDdjTfqP7rJkylav/wlcPrp8SZYIACceirw1lvcD7ZxI1uWWxhAMMjU9cmTgZKyUpunCuYWS6IkhFgDoA1AF4CopmmzhRAnAvgtgKkAdtY0bZ7V5/Z+2OlRXWftTbIeScmOLSvjXDFggP7dKkupF1xzDbDvvsDee+v+0F4QDJrPvZnElLKZ6NDZyWTD8ePT/M78fuDaa4H33qP77swzgZ124p/khBOAt99modvf/pb/1E03MU53+uncK/SPfzCJZNy4zFZcW2hp4W95yJAe/LMuIxNLaT9N0xoMtxcCOA6AFed04nNzSiSSr3dS9JRMPEddXbxsagK23Va/X1lKvWCffdjeoqkpKy8XjSaPBRVi4SDbns+alebAO+/kRqbrrqNlZNbyQwjGgtau1e878khaU7/9LfcNLV8O/PWvFK4euNzq6/k0u7diycd32WP3naZpSwBAWIog5h+XZku6BrMeSWbI1HGz/knl5cpS6jGhkF4+IAsks5QyaRORLUtJ0xif0TTmLaTko49oKR1+eGZv4vEA22zDzavbbMP7elHup6aG8aRCZivaBatTtwbgLSHEfCHEBRm+R2+e2yPM+u8o7IXV70gmRNTXx8eTgPy00HYlmgZ89hn9W1low1pXlzxJoRDfUTjMcM7o0SmSJ6JR4N13gY8/BnbbredvtvXWwN1387V6SDDI9cGIEWoxDVi3lPbQNG2jEGIogLeFEEs1Tfsom8/dIlgXAMBYW+10U+QCsx5JZoTDPFFlvTujkClR6iH33st4SHV1VvKvOzqy0zgvW5aS38/Mu6lTUxx03XVs+fDUU8kzNKzyq1/16ulNTclbyduRXFdat6TLmqZt3HJZB+AlADtbfQOrz9U07WFN02ZrmjZ7SC+jfVYnPEXhyMRS0jTGB4YNi39MiVIPGTmSl/PnZ+Xl7GYp1dYyDilLxf2ILGK6erWedbj99vkdnAkNDXRR91Yb3UJaURJCVAkhquV1AAeDSQ5p6c1zFe4mE1GKRPg3eHD8Y0qUesgnn7Caw+TJWXk52QC1t3g8vW/5FA5z68CIESZjevBBpnfvtBNwyin8AW7e3Ls3zAI1NSwYq+JJxIqlNAzAJ0KIBQC+BPCapmlvCCGOFUJsALAbgNeEEG8CgBBipBBiTqrnZv/fiEfFlOyPVWu2vV0v9pm4d1GJUg/ZdVfg8ceBhdlZH7a0JHfp5Ps7amujO8x0w+xZZzF988wzmdK9ejVw0EH5G5wJnZ30AgwfruJJkrTTgqZpqwBsZ3L/S6A7LvH+jQAOT/VchcLqwiES4USTGE+SyDiEEzqK2obTTqOSHHQQ09Qy5a236ALcsr+pszM71cB9vt53Em5o4G/GtHfSuHHcJLvVVqzQYIPNjM3NHG+iazrfmCVhJt4XieSnMIErIy/GqtIKexKLWROljg5+n8lSe5Uo9QAhgBkzeuZOeOwx4Kc/5fUtla79/uTnW1UVCx3U1elJDPJ6IIAfnx8M0nCbOLF7bCXRpReLdd+fFgoxjrRkCd9z9er4x6W15mkox/RYDIuf+QYd0+PryMn9cJLESdnM4ku8L/F2LJb6NVesoLtRCN19l+41E28njjvxtpVxAd0ttURPRmkpi823tnZ/bjZxpSgp7I/VzbNyb6dp0zPkpt2B2+jo0D+jjg4g9uln2OrMfbDi5mdR8yGtEznJy+uhENBv8zJMe+sefL7v9WgsH4Wtls3BCc/8DB/ufj32nnsn3tn5N5iz2y344gtOtmvW8DWiUf0vFGIxhBkz+JgQnPzkBFhSwsmupIRp3A0NwDffdJ8QE28nWmbyd7BiBWuWGve5Skq1KGb+kZly7Zvb0To69XuY3U7U8cR9somPJ75G4uN1dSyRt8su+meSeEymt3v6HCv89a89e14muFKUVPad/enqsvYdNTVxFZ6sV4+dRSlRDOSfXPlLAZAuKykGUiDCYV6XLpNwWJ/oAf26FAB5X+Jt+Tl7PMCgyGb87eU9AACRBx/G02tP/XGC93g42Xs8XDD4Vtdgxqd/w/TPHoaQ/X8ArP/p7/DBAQfjkFv2xYHf3Il/bXcblk07BvueOwnl5bRUpOVaVcW9pbW16T+vmTO5h/X3v8/kU9Z5/30WQP/lL5P0T/rme+DDfwIff4yd99yzZ2+SRQIBbpidMiVrOSeuQE3dioIQiaS3lDSNK8n+/ZMLmJkoGQXAeNuKGEgBkNflbaMAyMetiIFREBJvSwEA4sUA2CIKPl2MZf8on09388jrMstMioFRELq5NetKgJcBlJdjauBr/P3v5p8rmpqAPX4JABB33QX85CcsqfPeezjrPA/QMRu4BSiNhnHK/F8D838NTLkVuOGGbi+VjwViOAx8+y0rfiTd5jhhAi/9/twPyAIynqTq3cXjSlFS2Xf2x9i4LxnBIOcPOZeY8fXXwJVXMl38x7hBEjFIFACjheD1xhd6ra7WH08lBokCYLxtS4YOpaIuWgQccQRN1kQf1KOPArffTr/SN9/oqvfcc3rH1PJyHveTn+C5897CKXPOYlHSq6/udvKVlHBxkW5zqM/Xc6u3oYEl7HbcMcVBL75Is9smZkl9PT8qtT8pHleKksL+WBElv58LjGTxJPk6e+wB/N//8bZtxcBOeL3ADjswg+6NN2gFAczIEwI4/3zWhNtzz+7d8eTt0tIfewLNHX0C9tnrFYxoWszXvugi9iC67LK85TnLAHzSAqznngs88QSzKWwiSps2qf1JZrgyM95qZpeicFgRpfp6zmmpGoF6PJwnTV1VitSccw5L7dx3H0sPDRig9/HZay+L7VqB9q4KLL/lBU74v/89T75f/YqmC3RLKR2lpXpGXiZEozToqqu3FPl++WW2lHj7bR7w/PMUJIDN+2xAIED33ahRlj/mosGVoqSwP7JxXzJkPMkYMzGjNy6fouf005kW98MP8V1RW1oyeplg0FC9/ZprKHA77QRs2AAAKNc6Ub5o3o+3e01CfnNLC7BmZRf27TsfJZdfSqto8mS2m4jF2E5i223pbrSJAjQ38xywe6uKQuBK910WuzwrckQ6S0nGk/r0SW319nR1rQCtovvv5/UHHqAw+f30KWVAMGhipfbrxwaCd96JNxofx5iLmoCmzUzDSwwubYlreb0Wygw1NjKAOG4c874//RQdry3EDQ/dhL6xFuCXFwFz57JEwq23Al99xRiabMBnE2pr+btO5ZouVlwpSgr7k85SkvGkiorUx1mayBTWuOeeHj3NtML1Qw8BZ5wB/PrXeKLfgzjo+Z9j/3PHMbniwAOZkeD1AvPmATffDMyYgZ+1HIE3R9+KHx04d95J4dl3X+DTT2nRrV9PcXnpJeD444E99sA4AOsHbY+K116Hb5ft+dy6Ov7IjjuOq1QbCZKmseRev37ZqRnoNlwpSlb3wCgKg2zcl4r6ej1LLtV36fX2vjSNoudI12k3S2mrrVj94fbb8Y8PfoGd/AD+/GcWRV24kGmT0SgDQVddBXzwAWa3voud3vwAOKwffwCyivmDDzIbcMcdgcWLgVtu4Y9i1So01UZw592lGDm6BJcaCzQMHcrX/+GHjN2R6bBakifZ7Y4OVp4YPhz48kvel7iw0rTu9yVWsUj83Xd1xXs2zboyJ96XWDbI7DnGY2zdedbufP89F1VlZfqkVlbGP69Xv0+mAhv/jPcrso9s3JcMTaN7Y/BgXqb6Hnw+1RI9X5jt/Vq/nunYH5pWhpiK0F5Po/V/bND616HHIBo9Bl1bJttwGIj5gS7mQ2CdiOBY7xvYt7QN42KfoWXXY/CTub/Bv/b9Cz7ZfBGiMiR1GS9iMaC1tQzr17OM3/PPJ06apYhGt7Q3X8aLfJbkSUTeF42yk3pi5QorVSsSx5CugkTiuZN4O/E9fL7Ux8yalXqLRjZwpSjtvDPN40iE8YZoVF+pxGI8Gbq69PuMGx/lj1ReLy3Vv2h53bh6Lyvj/V5v/I9EliRRotiddJaScX/S/PnpRckmeyFzhp03A/v9zF94+unkm4EHD6Ybtrpa/y5LS+m68nr1c6a8vAxNI45EyQnAepyG8nLgf+JGeAHsD/11jaxfzyS/00/Xzy8jhSzJkwpZPtBp5MMD5UpRmjYte5mfxhNZXjf+ATxhjX1/5H1GUQR42+6imHhfLkhnKfn9/P8HDkyfEFFRwZV6tjErDyRvB4PxAmC0EFKJQaIAGMsFpRIEO28G/vBDdsFIWhkC3EP0i1+wvlsq7r6bl6eckvo4STjMguUTJ9JbqMg9ZpZltnGlKGWTQlssqURR3tdTUZT3pRNFgBOdFVGU9xlFUT5f3m5oYGOzf/2Lk2VFBf8GDuTrrFvH4/v0SZ8QUV7OlfrDD+sCYKwdl6penLxtJghyzKlKBaUSA3mfFAOjIFRU6LcdWxliC52d1saYi2QUv5/hopRtzxWOQ4mSzXGjKLa2skfSO+9wspJ9WqJRPl5fz8nmhhsoeN98o0/klZW6tVddTcslGgXefJOTe0UFN9t6vRS14cP1/aDyNaSFYFY8VG3CzYyWlvQuHasuH6+Xvwur1Nbyu+/W9lzhaJQoKVJSKFE0us3q6nSXWUuL7iJra6N1Nnw43TfSAmpq0i0iaQl6PBQhaelUVelWTmVlfAFUadn0769bMkOHKtEyIxSy9nlkO0MyEqFFPWyYSqvON7mulqNESWFLjJN/qmyfN94AXnmFW1pSIcVNCl1zsx4P8vt119/GjbwMBDjxhUIUROnWC4cphFLcpND5fLrQSStOCl3fvrqVNmCA/r9JoXMycoNzKqx2pfX5uDfWCrLt+Q47WDte4RyUKCkcTUWFtZTwqqrspbKms+La23lfWxsn2RUrdHGT1pxR6JxsxYXD1kQn22n7jY18zaRtKhSORYmSwtGUl+dnQ58Rq1acVYxWXGNjfIq3tOICAd2Kk3G0RCsuGIxPxsiHFdfWxmLjqch2GnFXFws9DBmS3kpTOA8lSgpHU1WVf1HKNrm24lpadKHz+ylsiVacFLpMrbh584ATT0w/LisxJZ+ve4WBZP9jY6PKunMrSpQUjsYNopRNsm3FGeNwRivO7+f1E08Ezj479WtYjSlZpamJluPo0dl9XYU9UKKkcDRKlHJLum6xVrESU/L50n+XsRg341ZXq46tbkX1U1I4GiVK9iebMaVAgCXExo+3TWskRZZRoqRwNEqUnIEVS8lKJmVzM4VJZd25FyVKCsfj8ajus3YmW5uvNY0lpXw+Zt4p3IkSJYXjUaJkf6xYSh5Paqs3GFSuu2JAiZLCFShRsi9WLaV0jR9bWpjKbqMmsoocoERJ4XiUpWR/stHyYONGXg4f3vvXUtgXJUoKx6NEyd74fNZEKVWiQyjEeNLo0flpNKcoHEqUFI7H48lNvx6FffD72fJk/PhCj0SRa5QoKRyPx5P91giK7OH1Wkt0SFXHsLaWG2fT1dlTOB8lSgrH4/Nlvwq1wj5Eo+ydNHKk6p1UDChRUjgeFWOwN1YLrSbbCO33c9Os2jBbHChRUjgen0+579xMYyNFTRVgLTz5qJ6iREnheDwe5b6zM1YtJaD7pNfVxQKsgwer3knFghIlheOxGkhX2BuzpoLt7UB9vdowW0woUVI4HiVK9sZKS4pkNDXRylLxJPtQVpbb11eipHA8mbiHFPYlMdEhFgPWr2fvpH79CjcuRX5RoqRwPMpSsjdWWlKY0dnJAqzjxqkCrMWEEiWF41GWkjtItJSamlg+asyYwo1JkX+UKCkcjxIle9OTmJKmATU1fO7gwbkZl8KeKFFSOJ7eBNIV9kEI/XsMhYBNm5jgkK6lhcJdKFFSOJ6exiwU+cHq91NZqV9vaWElB5UKXnwoUVI4HmUpuY+aGlpOqndS8aFESeF4lKVkb4xuuXR4PExw2LABGDUq93tiFPZDiZLC8aRqeaAoPD5fZsf7/cp1V8woUVI4nmTVpRX2IJPvx+NhrbtYTBVgLVaUKCkcjxIl9xCL0XU3fLjqnVSsKFFSOB4lSvbG47H+/USjLMCqat0VL0qUFI5HiZK9ySSm1NWleicVO5ZESQixRgjxvRDiWyHEvC33nSiEWCSEiAkhZqd47qFCiGVCiBVCiGuzNXCFQqJEyf5Y+X7CYaCtDejbl0VYFcVJJpbSfpqmba9pmhSghQCOA/BRsicIIUoB/AXAYQCmAThVCDGtp4NVKJLh8bBOmsJ+mPVJMqOujjGlkSNzOx6Fvemx+07TtCWapi1Lc9jOAFZomrZK07QwgOcAHN3T91QokqFEyd5YsZRWruSeJuW6K26sipIG4C0hxHwhxAUZvP4oAOsNtzdsua8bQogLhBDzhBDz6uvrM3gLhUKJkp2xYilFo8CCBTxWVXEobqyK0h6aps0C3XC/FELsbfF5Zl1QNLMDNU17WNO02ZqmzR4yZIjFl1coiBIle5POUmpqAlatYpuKEpV+VdRY+vo1Tdu45bIOwEugW84KGwAYu6GMBrAxkwEqFFYoLVWiZFesWEqrVwPt7cBWWwGRSO7HpOgZsVju3yOtKAkhqoQQ1fI6gIPBJAcrfAVgshBighDCC+AUAC/3dLAKRTLKyoBgsNCjUKQi2aIhFgMWLmQHYRVPUlixlIYB+EQIsQDAlwBe0zTtDSHEsUKIDQB2A/CaEOJNABBCjBRCzAEATdOiAC4G8CaAJQBe0DRtUS7+EUVx4/WyfbbCnng8yR9raQGWLgW23ZaLC2UpFTcpfipE07RVALYzuf8l0JWXeP9GAIcbbs8BMKd3w1QoUiOEqhRudzTTaDKwfj2FadYsYKNy7tueXFduVyFFhSvweJSlZGc8HiAQMH9s0RbfyYwZ+RuPwr4oUVK4Ap9PWUpOpL2dorTNNkCfPkxYUdU5ihslSgpX4PEoUbIzyVL2169nOvgOO+R/TAp7okRJ4Qq8XiVKTmT5ciY2bLclaq0SHRRKlBSuwOtlQU+FPTGzlIJB4Pvv2aZi8ODCjEthP5QoKVxBpi23FYVn0yagpka3kiQqplTcKFFSuALlvrM3ZpbSqlW0bnfaSb9PlRhSqJ+AwhX4fMp95yTCYWD+fGDIkO6tKlRMqbhRoqRwBUqU7I3HE18Gqq6OmXezZnU/TlHcKFFSuILycm6ebWlRbjwnsHo1v69EUVIo1LpE4Qr69mU6scfDltrNzRSqigqVBGEHfD694kYsxt5J1dXAxInxx3k8QFdX/sensA9KlBSuwOfjZNenD/+6ujgJKoGyHw0N7DK73XYqsUHRHSVKCldQXh7vtistVQJlJ4wVN2TvpMRUcHmcSnQobpQoKVxBeXny/S1mAuX387oSqPwSiwGLF1N8tt220KNR2BElSgpXUFlpbdOlEqjCUFamf9ZLllCQvF7zY9Xm2eJGiZLCFVgVJSNKoPKHjB2tW0cX6jHHmB9XVqZEqdhRoqRwBT0RJSNWYlBeL5sJKnpGKETXnaYBM2cWejQKu6JESeEKeitKRpIJVDgMVFXpAqWwjkx0WL4cmDyZn60Zqp+SfclXAooSJYUryKYoGTETqJYWrvYrKvi+qgpBerxeoL6e6eD77lvo0SjsjDqdFK5BttyurMzN6xsFKhKhQDU2Ml5SUcG/0tLcvLcb2LyZwp6qoZ+KKSnU1jWFa5CilA/KylhFYtgwXkajtAQaGzmGWCw/43AKmsY2FaNHq95JTiYfm52VpaRwDfkUJSM+H/80jXGTQABobeV9lZW8LPYEiVCIn4nZhlkjHo8S9GJHiZLCNRRKlCRCMFOvvJwTazDIHkItLSrFPBbj95PKdadQAEqUFC6i0KJkpKSEVlJlZfweqFhMjz+VlRV6lPlBCnS/fmx9ng5VZqi4UaKkcA2JPXvsgjFBIhqlcDY10bKqrHR/goSMsY0fnz4mUSxCrUiOEiWFa/D57ClKRjweJkb07ct9T52dQG2tLlwVFe6rnN3UBAwcCGy/faFHonACSpQUrsFYidoJeL3869tXjz/5/e5KkJBZd6Wl3HicDtVPSaFESeEanGApmSGEHmeS8Zf2diZIyPudWkEiGAQ2bgRGjXKfBajIDUqUFK7B42HacWurboU4LVaTmCARCFCcAF2gnFRBoqWFFuDw4bSa0qE2zyoc9PNWKFLTty8n7NJSxmpaW2mFSIHyevm4U1xipaVsGV5dzYy0QIBlejweXaDsbn1s3szPe+hQbixWKNKhREnhGrxersaNxT6jUSYUhMNcsXd1cTVuFCq7T+wAx9yvH4U3FNJTzO0cfwqHGU8aOZKfs9VNscpSKm6UKClcRTgcf9vj4Z+shxeL0eqQItXcTIsk0ZqyK2YbdO0af/L7aa1OmWI91qdSwhU2Pv0UiszweruLUiIlJXpZIIkUqVCIE3wsxsmxrMzem1ztHn+qq6PVM3IksGqVtZgSYP04hTtRoqRwDV4vRSVTpADJlOVYTLekZIUIKWR2taTsFn+KRoENG4AhQyiaVhMYyspUSnixY8PTS6HoGV5vdkrUlJToLjKAk2QoxL+2Nv29pFDZLcMvWfxJCm95ee7jT+3tTGxQHWYVmaJESeEavN7cNfqTbjJAT54IhTjZCxFvSdlFpIzxJ02j9SQrmMv/J1dWX2MjFwgjR/K21U2xylJSKFFSuAafL31MKRskJk9Eo7pF0tpKS0taUnYRKSFoJVVV6fX3pHtP1t/LlvUUi9F1V1UF9O+fnddUFA9KlBSuoVBtIaRIyZiUTJwwipQUKJ+v8Cnosv5edbXe/8nv19u79zaxo7OT+5MmTtSFTsWUFFZRoqRwDT6fPfa4JCZORCLdLSk7iJTRvSez95qa9Ky+niZHNDfzfx09OvtjVhSOfLUUUaKkcA0+nz0LskqRkkiRkvukZGKFjEsVQqSM2XvSempr43iqqqzvfZIFWMvKmHknUeWDFFZRoqRwDeXlzpj4pEj16cNJPBymUHV2cp+RxxMfk8q3SElxjMX0MQF6ckSq8YRCdN2NGdOzJAolXgolSgrXUFHhvAnNmLknMZZFam7WyyJJkcpXOaGSEj05Ihym9VRXxzFUVuop80ZaW2lhJaaCK7FRWEWJksI1OFGUzJDljoyWVDjMyT4S4QQvhaysLD8iJcekabSe2tvjU8tlhmFdHeNTI0b07H3KyqzXyFPkn3xsHFeipHANbhElI0ZLqrpaF6lQiKIQjcZv5M11SSTZwr2yUq8cUV+vW3MbNgDDhnW3olRWncIqSpQUrsGNopRIortPlkQKhejqi8XiRSqXK1tj5YhgkG3dW1p6X8WhpES3CBXFhxIlhWsoBlFKJLEkUiwWXxIpFtNLC+UqHiU750pLbdSo7scoS0lhFSVKClfh8TDmUVFR6JEUhpISvQAroKefy3iUtKLKy7NrRcVijCeVl9N66i3KUipelCgpXEWxi1Iiienn0oqSXWClm6+3+6OCQZYtGj7c3BrLJPvOjlXYFflDff0KVyFFSdEdYwWHfv30mn2yD5Mxqy/TRoEdHbTGpk3LydAVRYQSJYWrUKJkHWPNPmNWX0sL3XFGKypVUVlNY3miWAwYPNj8GCGsp3qXluavpI3CfihRUrgKJUo9w5jV17dvfA8pv59CYbSijC66cJhp4UOHJo8DKZecwiqWfipCiDUA2gB0AYhqmjZbCDEQwPMAxgNYA+AkTdOarTw3GwNXKMzweBjfUPSOxB5S0oqSCRNGK6qzk+no226b/nWtJDAoS6m4yWT9sp+maQ2G29cCeFfTtN8LIa7dcvsai89VKHKCXYuyOh1Z0aG6unva+dq1TJwYMICuvGRp54Vu2aFwBr35mRwN4Mkt158EcEyvR6NQ9BKPR4lSrpFp5/37A4MG0dU3YADFavNmClRHh3m2nVULSFlKxYtVUdIAvCWEmC+EuGDLfcM0TdsEAFsuh2bw3G4IIS4QQswTQsyrr6+3On6FIg6vV4lSPgkGGXOaNIkCNXw4EyciEYpTXR3LIYVC1uNKKv5U3Fj9+vfQNG2jEGIogLeFEEszeI9uz9U07aPEgzRNexjAwwAwe/ZsLYPXVyh+RFlK+aW9nX8jR/K2Me0coDgFg3Tz+f3AihU8tm/f1GnnmpoBihZLoqRp2sYtl3VCiJcA7AygVggxQtO0TUKIEQDqMnhuN1FSKLJBWRmD8orc09XFrDufj648M+Tm3epq9ljq358CtXGjfn///tzcK/F4iq9clEInrftOCFElhKiW1wEcDGAhgJcBnL3lsLMB/C+D5yoUOcHrVaKUL0IhVnEYOdJaTT2PBxg4EJgwgUVbx4zh/evXA999B6xezf1OqkZecWPFUhoG4CXBX50HwLOapr0hhPgKwAtCiJ8CWAfgRAAQQowE8HdN0w5P9tzs/xsKBVGilD8CAcaLpk61dnxpqW4BRaN08Q0eTEspEGBa+bJltKJkS3Xjxt3E5Id0t83uS7TAzJ6T7phE0bTyGulum20sTve+ZtZkuvdJfI1YrLurNNXYjBZtrkgrSpqmrQKwncn9jQAOMLl/I4DDUz1XocgVXi9jHIrkdHZSuLu6eF1uNu7sZPwnFOKEaEz9lkIvGw5Go8ywC4UoLD/8wMejUb6unPyMt7/5BnjnnfhJsKRETxX3eHhdCGDhQmD5cj5fWmFmVSUSkyLS3TZ7ncR9U4mp62avke59zGovpnvfxNcw28+V7ph0t7P1nFyi8lwUrsOOlpJx4k+8LoUA0EUgFqMwSBFIFAVN44QdjeoiIZ8v7wf068bbcmKTZYYSb8teTR4PRV4+Lhv5yfuGD2eH2aFb8m5LS81fT94++ODujysUiaifhcJVeL3xbg858SdaBrLqgxQBoyiYiYC8HYnoQgDoRU1TiYC8nkwE5G3ZlE9mpXk8uhDI/61Pn/jbxoZ/8rrMfJMtLOSq3XhdobArSpQUrmLiRGDOHODsLSk4qURAWgXytrQApKtCWgXSjy5vJ4qAvF1ebi4CSggUCusoUVK4ip12Ah56iNeVGCgUzkOJksJ1KDFSKJyLKpGoUCgUCtugREmhUCgUtkGJkkKhUChsgxIlhUKhUNgGJUoKhUKhsA1KlBQKhUJhG5QoKRQKhcI2KFFSKBQKhW1QoqRQKBQK26BESaFQKBS2QYmSQqFQKGyDEiWFQqFQ2AYlSgqFQqGwDUqUFAqFQmEblCgpFAqFwjYoUVIoFAqFbVCipFAoFArboERJoVAoFLZBiZJCoVAobIMSJYVCoVDYBqFpWqHH0A0hRD2AtYUeRx4YDKCh0IOwOeozSo/6jNKjPqPU5PvzGadp2hCzB2wpSsWCEGKepmmzCz0OO6M+o/Sozyg96jNKjZ0+H+W+UygUCoVtUKKkUCgUCtugRKmwPFzoATgA9RmlR31G6VGfUWps8/momJJCoVAobIOylBQKhUJhG5Qo5QkhxGNCiDohxELDfScKIRYJIWJCCFtkvhSKJJ/PXUKIpUKI74QQLwkh+hdwiAUnyWd0y5bP51shxFtCiJGFHGOhMfuMDI9dJYTQhBCDCzE2u5Dkd/RbIUTNlt/Rt0KIwws1PiVK+eMJAIcm3LcQwHEAPsr7aOzHE+j++bwNYLqmaTMBLAdwXb4HZTOeQPfP6C5N02ZqmrY9gFcB/F++B2UznkD3zwhCiDEADgKwLt8DsiFPwOQzAnCPpmnbb/mbk+cx/YgSpTyhadpHAJoS7luiadqyAg3JViT5fN7SNC265eZcAKPzPjAbkeQz8htuVgEo6iCx2We0hXsAXI0i/3yAlJ+RLVCipHAK5wF4vdCDsCNCiNuEEOsBnA5lKXVDCHEUgBpN0xYUeiw25+ItruDHhBADCjUIJUoK2yOEuAFAFMAzhR6LHdE07QZN08aAn8/FhR6PnRBCVAK4AUqs0/FXAFsB2B7AJgB3F2ogSpQUtkYIcTaAIwCcrqn9C+l4FsDxhR6EzdgKwAQAC4QQa0AX8NdCiOEFHZXN0DStVtO0Lk3TYgAeAbBzocbiKdQbKxTpEEIcCuAaAPtomhYo9HjsiBBisqZpP2y5eRSApYUcj93QNO17AEPl7S3CNFvTNFWc1YAQYoSmaZu23DwWTMIqCEqU8oQQ4p8A9gUwWAixAcBNYLDxzwCGAHhNCPGtpmmHFG6UhSPJ53MdAB+At4UQADBX07QLCzbIApPkMzpcCLENgBhYWb9oPx/A/DPSNO3Rwo7KXiT5He0rhNgeTARZA+DnBRuf8ogoFAqFwi6omJJCoVAobIMSJYVCoVDYBiVKCoVCobANSpQUCoVCYRuUKCkUCoXCNihRUigUCoVtUKKkUCgUCtugREmhUCgUtuH/AXpoB40PdaTmAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# let's get an overview of all products\n",
    "ax = products.plot(color='None', edgecolor='blue', alpha=0.1, figsize=(16, 9))\n",
    "brandenburg.plot(ax=ax, color='None', edgecolor='red')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In order to be able to conviently reference the products by UTM tile we extract that information from the product identifier and save it in a separate column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1    T33UUS\n",
       "a87c7ff5-8664-4002-9258-7b1508a1de78    T33UUT\n",
       "f07d56ae-df3c-4402-a63d-e3879e4e671d    T33UVV\n",
       "6c1721a4-3628-49dd-a312-788111bf2ce9    T33UVU\n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65    T33UVT\n",
       "Name: tile, dtype: object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "products['tile'] = products['identifier'].map(lambda s: s.split('_')[5])\n",
    "products['tile'].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some UTM tiles start with `T32` while others start with `T33`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(75, 106)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "products['tile'].str.startswith('T32').sum(), products['tile'].str.startswith('T33').sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Which tile exactly a product is covering depends on the exact position of the satellite. It also determines the angle of the cutoff of the pixel image. In the plot below `T32…` tiles are plotted in blue and `T33…` tiles are plotted in green:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = products[products['tile'].str.startswith('T32')].plot(color='None', edgecolor='blue', alpha=0.1, figsize=(16, 9))\n",
    "products[products['tile'].str.startswith('T33')].plot(ax=ax, color='None', edgecolor='green', alpha=0.1)\n",
    "brandenburg.plot(ax=ax, color='None', edgecolor='red')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that because the satellites are crossing the area more frequently than their repeat frequency, the area covered per orbit is slightly different. This can be made more complicated when dealing with hardware failures. \n",
    "\n",
    "Each orbit gets a designated `orbitnumber` which allows us to plot all products in our area per orbit."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 25 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import math\n",
    "\n",
    "orbits = products['orbitnumber'].unique()\n",
    "\n",
    "ncols = 5\n",
    "fig, axs = plt.subplots(nrows=math.ceil(len(orbits) / ncols), ncols=ncols, figsize=(12, 12))\n",
    "fig.tight_layout(h_pad=2) # h_pad=2 works better if we have titles in our subplots\n",
    "axs = axs.flatten() # lets us address a subplot with a 1d index\n",
    "\n",
    "for ax, orbit in zip(axs, sorted(orbits)):\n",
    "    ax.set_title('Orbit #{}'.format(orbit))\n",
    "    per_orbit = products[products['orbitnumber'] == orbit]\n",
    "    per_orbit.plot(ax=ax, color='None', edgecolor='blue', alpha=0.2)\n",
    "    brandenburg.plot(ax=ax, color='None', edgecolor='red', alpha=0.5)\n",
    "    \n",
    "# hide empty subplots\n",
    "for ax in axs[len(orbits):]:\n",
    "    ax.axis('off')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can nicely see a repeating pattern. The covered area shifts slightly to the left in each pass before re-appearing on the right. The exact same area is covered every 143 orbits, which is one repeat cycle.\n",
    "\n",
    "The oribt numbers are counted per Sentinel-2 satellite. There are currently two satellites in the Sentinel-2 program, S2A and S2B. These can be identified using the product `title`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['S2A', 'S2B'], dtype=object)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "products['title'].apply(lambda t: t.split('_')[0]).unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "S2A has been launched earlier, which is why the orbit numbers are higher:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([26231, 26188, 26145, 26131, 26088, 26045, 26002, 25988, 25945,\n",
       "       25902, 25859, 25845])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "products[products['title'].str.startswith('S2A')]['orbitnumber'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compared to the area numbers of the S2B satellite:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([17308, 17294, 17251, 17208, 17165, 17151, 17108, 17065, 17022,\n",
       "       17008, 16965])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "products[products['title'].str.startswith('S2B')]['orbitnumber'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ensuring Complete Coverage\n",
    "\n",
    "What is the minimum time span in those four weeks to ensure a coverage of all of Brandenburg?\n",
    "To find out we iterate through the returned products, for each iteration $i$ unifying the associated product's geometry $P_i$ with all products we already iterated through:\n",
    "\n",
    "$$\n",
    "P = \\{P_1, P_2, \\cdots, P_n\\} \\\\\n",
    "U_1 = \\{\\} \\\\\n",
    "U_{n+1} = U_{n} \\cup P_n\n",
    "$$\n",
    "\n",
    "Given the shape of Brandenburg $B$ the condition for termination is when $B$ is contained entirely in the unified shape $U_n$:\n",
    "\n",
    "$$\n",
    "B = B \\cap U_n\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "brandenburg_geometry = brandenburg.iloc[0].geometry"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before we continue we do a sanity check: Is the total area covered by the returned products big enough to cover the entirety of Brandenburg?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Are the products sorted in the order of their capture or do we need to sort them?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 45 ms, sys: 313 µs, total: 45.3 ms\n",
      "Wall time: 44.6 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%time products['geometry'].unary_union.contains(brandenburg_geometry)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is!\n",
    "The `unary_union` operation is also sufficiently small for the algorithm to terminate in a reasonable amount of time."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Coverage Algorithm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas  as pd\n",
    "import geopandas as gpd\n",
    "\n",
    "# we use tqdm to display progress bars\n",
    "from tqdm.notebook import tqdm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We would like "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Series(np.unique(products['beginposition'].values)).is_monotonic"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No need to sort.\n",
    "If we iterate through them in the order they are returned from the API we can get a set of products covering our area of interest that is…\n",
    "\n",
    "1. …as close to the start of our observation time span as possible\n",
    "2. …captured over a time span that is as small as possible\n",
    "\n",
    "The code for the algorithm is very short thanks to the `shapely` geometry operators:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "03b8dc7b2b1d496fad4f79aaa07daa5d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(HTML(value=''), FloatProgress(value=0.0, max=181.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "for idx, product in tqdm(products.iterrows(), total=len(products)):\n",
    "    union = products.loc[:idx].unary_union\n",
    "    if union.contains(brandenburg_geometry):\n",
    "        break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The blue line represents the outline of the area we selected to cover the geometry shown in pink."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = gpd.GeoSeries(union).plot(color='None', edgecolor='b', alpha=0.2)\n",
    "brandenburg.plot(ax=ax, color='None', edgecolor='gray')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that our algorithm worked.\n",
    "\n",
    "What is the delta between the capture date of the first and the last product contained in our union?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timedelta('3 days 00:10:00')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "products_in_union = products.loc[:idx]\n",
    "products_in_union.iloc[0]['beginposition'] - products_in_union.iloc[-1]['beginposition']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This small delta suggests that only few orbits were needed to capture the entire area:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([26231, 17308, 17294, 26188])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "products_in_union['orbitnumber'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Considering Cloud Coverage\n",
    "\n",
    "For the union above we did not consider cloud coverage at all.\n",
    "A plot of the cloud coverage can give us an estimate of how useful the combined image would be without plotting it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXgAAAD4CAYAAADmWv3KAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAAAOFUlEQVR4nO3df7DldV3H8efLXRUWZdC4li7ghYZBzdHAa6mYKdikoJD9pInGnHJrskSz0UWdtD+awRkzbSpzRU3RtEQikjJ/5I/pj8DlxySwkCYrIBjXmkTJcUHf/XG+6N1lf3z33vPZc/2c52Pmzp7v93zP+bzf99597Xc/53s+J1WFJKk/D5h1AZKkNgx4SeqUAS9JnTLgJalTBrwkdWrjrAtY6eijj67FxcVZlyFJ3zeuuuqqr1bVwt7uW1cBv7i4yPbt22ddhiR930jypX3d5xSNJHXKgJekThnwktQpA16SOmXAS1KnDHhJ6pQBL0mdMuAlqVMGvCR1al29k3UtFrdePpNxd15w5kzGlTR9veWIZ/CS1CkDXpI6ZcBLUqcMeEnqlAEvSZ0y4CWpUwa8JHXKgJekThnwktQpA16SOmXAS1KnDHhJ6pQBL0mdMuAlqVMGvCR1yoCXpE4Z8JLUKQNekjplwEtSp5oGfJKXJ7k+yXVJ3p/ksJbjSZK+p1nAJ9kMvBRYqqrHAxuAc1qNJ0naXespmo3A4Uk2ApuA2xuPJ0kaNAv4qvoy8EbgFuAO4GtV9dE9j0uyJcn2JNuXl5dblSNJc6flFM3DgLOB44FHAUckOXfP46pqW1UtVdXSwsJCq3Ikae60nKJ5NnBzVS1X1T3AJcDTGo4nSVqhZcDfAjwlyaYkAU4HdjQcT5K0Qss5+CuAi4Grgc8NY21rNZ4kaXcbWz55Vb0OeF3LMSRJe+c7WSWpUwa8JHXKgJekThnwktQpA16SOmXAS1KnDHhJ6pQBL0mdMuAlqVMGvCR1yoCXpE4Z8JLUKQNekjplwEtSpwx4SeqUAS9JnTLgJalTBrwkdcqAl6ROGfCS1CkDXpI6ZcBLUqcMeEnqlAEvSZ0y4CWpUwa8JHXKgJekThnwktQpA16SOmXAS1KnDHhJ6pQBL0mdMuAlqVMGvCR1yoCXpE4Z8JLUKQNekjrVNOCTHJXk4iQ3JtmR5Kktx5Mkfc/Gxs//FuAjVfXzSR4EbGo8niRp0CzgkxwJPAP4NYCq2gXsajWeJGl3LadoTgCWgXcluSbJhUmO2POgJFuSbE+yfXl5uWE5kjRfWgb8RuAU4K1VdTJwN7B1z4OqaltVLVXV0sLCQsNyJGm+tAz424DbquqKYftiJoEvSToEmgV8VX0FuDXJScOu04EbWo0nSdpd66tofhd433AFzReBFzUeT5I0aBrwVXUtsNRyDEnS3o2aokny+NaFSJKma+wc/F8muTLJbyc5qmVBkqTpGBXwVfV04FeAY4HtSf46yU81rUyStCajr6Kpqs8DrwVeBfwk8KfDGjM/26o4SdLqjZ2Df0KSPwF2AKcBz6+qxw63/6RhfZKkVRp7Fc2fAW8HXl1V37xvZ1XdnuS1TSqTJK3J2IA/A/hmVX0bIMkDgMOq6v+q6qJm1UmSVm3sHPzHgcNXbG8a9kmS1qmxAX9YVX3jvo3htmu7S9I6Njbg707y3YXCkjwJ+OZ+jpckzdjYOfiXAR9Mcvuw/Ujgl5pUJEmailEBX1WfTfIY4CQgwI1VdU/TyiRJa3Iwi409GVgcHnNyEqrqPU2qkiSt2aiAT3IR8MPAtcC3h90FGPCStE6NPYNfAh5XVdWyGEnS9Iy9iuY64IdaFiJJmq6xZ/BHAzckuRL41n07q+qsJlVJktZsbMC/vmURknSfxa2Xz7qEboy9TPLTSR4NnFhVH0+yCdjQtjRJ0lqMXS74xcDFwNuGXZuBSxvVJEmagrEvsr4EOBW4C7774R+PaFWUJGntxgb8t6pq130bSTYyuQ5ekrROjQ34Tyd5NXD48FmsHwT+oV1ZkqS1GhvwW4Fl4HPAbwL/yOTzWSVJ69TYq2i+w+Qj+97ethxJ0rSMXYvmZvYy515VJ0y9IknSVBzMWjT3OQz4BeDh0y9HkjQto+bgq+q/V3x9uareDJzWtjRJ0lqMnaI5ZcXmA5ic0T+0SUWSpKkYO0Xzxytu3wvsBH5x6tVIkqZm7FU0z2pdiCRpusZO0fze/u6vqjdNpxxJ0rQczFU0TwYuG7afD3wGuLVFUZKktTuYD/w4paq+DpDk9cAHq+o3WhUmSVqbsUsVHAfsWrG9C1icejWSpKkZewZ/EXBlkr9j8o7WFwDvaVaVJGnNxl5F80dJ/gn4iWHXi6rqmnZlSZLWauwUDcAm4K6qegtwW5LjxzwoyYYk1yT58KoqlCStytiP7Hsd8Crg/GHXA4H3jhzjPGDHwZcmSVqLsWfwLwDOAu4GqKrbGbFUQZJjgDOBC1dboCRpdcYG/K6qKoYlg5McMfJxbwZeCXxnXwck2ZJke5Lty8vLI59WknQgYwP+b5O8DTgqyYuBj3OAD/9I8jzgzqq6an/HVdW2qlqqqqWFhYWR5UiSDuSAV9EkCfA3wGOAu4CTgD+oqo8d4KGnAmclOYPJGvJHJnlvVZ27xpolSSMcMOCrqpJcWlVPAg4U6isfdz7Di7JJngn8vuEuSYfO2Cmaf0vy5KaVSJKmauw7WZ8F/FaSnUyupAmTk/snjHlwVX0K+NQq6pMkrdJ+Az7JcVV1C/DcQ1SPJGlKDnQGfymTVSS/lORDVfVzh6AmSdIUHGgOPitun9CyEEnSdB0o4GsftyVJ69yBpmiemOQuJmfyhw+34Xsvsh7ZtDpJ0qrtN+CrasOhKkSSNF0Hs1ywJOn7iAEvSZ0y4CWpUwa8JHXKgJekThnwktQpA16SOmXAS1KnDHhJ6pQBL0mdMuAlqVNjP9FJ+7C49fKZjb3zgjNnNrak9c8zeEnqlAEvSZ0y4CWpUwa8JHXKgJekThnwktQpA16SOmXAS1KnDHhJ6pQBL0mdMuAlqVMGvCR1yoCXpE4Z8JLUKQNekjplwEtSpwx4SeqUAS9JnTLgJalTzQI+ybFJPplkR5Lrk5zXaixJ0v21/NDte4FXVNXVSR4KXJXkY1V1Q8MxJUmDZmfwVXVHVV093P46sAPY3Go8SdLuWp7Bf1eSReBk4Iq93LcF2AJw3HHHHYpyurG49fKZjLvzgjNnMq6kg9P8RdYkDwE+BLysqu7a8/6q2lZVS1W1tLCw0LocSZobTQM+yQOZhPv7quqSlmNJknbX8iqaAO8AdlTVm1qNI0nau5Zn8KcCvwqcluTa4euMhuNJklZo9iJrVf0rkFbPL0naP9/JKkmdMuAlqVMGvCR1yoCXpE4Z8JLUKQNekjplwEtSpwx4SeqUAS9JnTLgJalTBrwkdcqAl6ROGfCS1CkDXpI6ZcBLUqcMeEnqlAEvSZ1q9olOUk8Wt14+k3F3XnDmTMaF2fWs6fEMXpI6ZcBLUqcMeEnqlAEvSZ0y4CWpUwa8JHXKgJekThnwktQpA16SOmXAS1KnDHhJ6pQBL0mdMuAlqVMGvCR1yoCXpE4Z8JLUKQNekjplwEtSpwx4SepU04BP8pwkNyX5QpKtLceSJO2uWcAn2QD8OfBc4HHALyd5XKvxJEm7a3kG/2PAF6rqi1W1C/gAcHbD8SRJK2xs+NybgVtXbN8G/PieByXZAmwZNr+R5CbgaOCrDWtbz9Z973lD06df9/03dL/eG3+v15u5/dnnDWvq/dH7uqNlwGcv++p+O6q2Adt2e2CyvaqWWhW2ns1z7zDf/c9z7zDf/bfqveUUzW3AsSu2jwFubzieJGmFlgH/WeDEJMcneRBwDnBZw/EkSSs0m6KpqnuT/A7wz8AG4J1Vdf3Ih2878CHdmufeYb77n+feYb77b9J7qu43LS5J6oDvZJWkThnwktSpdRXw87a0QZJjk3wyyY4k1yc5b9j/8CQfS/L54c+HzbrWVpJsSHJNkg8P2/PU+1FJLk5y4/A78NR56T/Jy4ff+euSvD/JYT33nuSdSe5Mct2KffvsN8n5Qw7elOSnVzvuugn4OV3a4F7gFVX1WOApwEuGnrcCn6iqE4FPDNu9Og/YsWJ7nnp/C/CRqnoM8EQm34fu+0+yGXgpsFRVj2dyEcY59N37XwHP2WPfXvsdMuAc4EeGx/zFkI8Hbd0EPHO4tEFV3VFVVw+3v87kL/hmJn2/ezjs3cDPzKTAxpIcA5wJXLhi97z0fiTwDOAdAFW1q6r+lznpn8kVfIcn2QhsYvIemW57r6rPAP+zx+599Xs28IGq+lZV3Qx8gUk+HrT1FPB7W9pg84xqOeSSLAInA1cAP1hVd8DkHwHgETMsraU3A68EvrNi37z0fgKwDLxrmKK6MMkRzEH/VfVl4I3ALcAdwNeq6qPMQe972Fe/U8vC9RTwo5Y26FGShwAfAl5WVXfNup5DIcnzgDur6qpZ1zIjG4FTgLdW1cnA3fQ1JbFPw1zz2cDxwKOAI5KcO9uq1pWpZeF6Cvi5XNogyQOZhPv7quqSYfd/JXnkcP8jgTtnVV9DpwJnJdnJZDrutCTvZT56h8nv+21VdcWwfTGTwJ+H/p8N3FxVy1V1D3AJ8DTmo/eV9tXv1LJwPQX83C1tkCRM5mB3VNWbVtx1GfDC4fYLgb8/1LW1VlXnV9UxVbXI5Gf9L1V1LnPQO0BVfQW4NclJw67TgRuYj/5vAZ6SZNPwd+B0Jq8/zUPvK+2r38uAc5I8OMnxwInAlasaoarWzRdwBvAfwH8Cr5l1PYeg36cz+a/XvwPXDl9nAD/A5FX1zw9/PnzWtTb+PjwT+PBwe256B34U2D78/C8FHjYv/QN/CNwIXAdcBDy4596B9zN5veEeJmfov76/foHXDDl4E/Dc1Y7rUgWS1Kn1NEUjSZoiA16SOmXAS1KnDHhJ6pQBL0mdMuAlqVMGvCR16v8B2W9KFuTEPdIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "products_in_union['cloudcoverpercentage'].plot.hist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Not good.\n",
    "A cloud coverage of 100% is not of much use for us because it amounts to an image that does not contain any of the surface features we are interested in.\n",
    "\n",
    "We might have to make a compromise between recency and cloud coverage in some cases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Timestamp('2020-06-30 10:20:31.024000'),\n",
       " Timestamp('2020-06-27 10:10:31.024000'))"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "products_in_union.iloc[0]['beginposition'], products_in_union.iloc[-1]['beginposition']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2e7fc76b19734bab876fa3a31fdb68e6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(HTML(value=''), FloatProgress(value=0.0, max=76.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "less_cloudy_products = products[products['cloudcoverpercentage'] < 50]\n",
    "for idx, product in tqdm(less_cloudy_products.iterrows(), total=len(less_cloudy_products)):\n",
    "    union = less_cloudy_products.loc[:idx].unary_union\n",
    "    if union.contains(brandenburg_geometry):\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = gpd.GeoSeries(union).plot(facecolor='none', edgecolor='b')\n",
    "brandenburg.plot(ax=ax, facecolor='none', edgecolor='red')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timedelta('15 days 00:04:32')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "products_in_union = less_cloudy_products.loc[:idx]\n",
    "products_in_union.iloc[0]['beginposition'] - products_in_union.iloc[-1]['beginposition']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "products_in_union['cloudcoverpercentage'].plot.hist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can find less cloudy products if we increase the timespan to 15 days."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Timestamp('2020-06-30 10:20:31.024000'),\n",
       " Timestamp('2020-06-15 10:15:59.024000'))"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "products_in_union.iloc[0]['beginposition'], products_in_union.iloc[-1]['beginposition']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-30T10:20:31.024Z, Instrument: MS...</td>\n",
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       "      <td>Date: 2020-06-30T10:20:31.024Z, Instrument: MS...</td>\n",
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       "      <td>2020-06-30 10:20:31.024</td>\n",
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       "      <td>Date: 2020-06-30T10:20:31.024Z, Instrument: MS...</td>\n",
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       "      <td>2020-06-30 21:10:52.180</td>\n",
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       "      <td>GS2A_20200630T102031_026231_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200630T102031_N0214_R065_T33UVS_2...</td>\n",
       "      <td>5c6ef9e1-8828-4d6d-8df4-7274e3b10e14</td>\n",
       "      <td>MULTIPOLYGON (((13.58157 50.75469, 13.63555 50...</td>\n",
       "      <td>T33UVS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>04351869-2843-4f17-a706-eff4b1caab2b</th>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UVV_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-27T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 18:18:15.092</td>\n",
       "      <td>26188</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200627T101031_026188_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UVV_2...</td>\n",
       "      <td>04351869-2843-4f17-a706-eff4b1caab2b</td>\n",
       "      <td>MULTIPOLYGON (((13.50402 53.15178, 15.14598 53...</td>\n",
       "      <td>T33UVV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8ff98302-bc88-4fb4-9f53-c6959af6fa36</th>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UUU_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-27T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 18:14:53.910</td>\n",
       "      <td>26188</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200627T101031_026188_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UUU_2...</td>\n",
       "      <td>8ff98302-bc88-4fb4-9f53-c6959af6fa36</td>\n",
       "      <td>MULTIPOLYGON (((12.35583 52.23133, 13.67854 52...</td>\n",
       "      <td>T33UUU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0eb59969-087b-4a49-949a-30828e05fe28</th>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UVS_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-27T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 18:14:29.349</td>\n",
       "      <td>26188</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200627T101031_026188_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UVS_2...</td>\n",
       "      <td>0eb59969-087b-4a49-949a-30828e05fe28</td>\n",
       "      <td>MULTIPOLYGON (((13.59072 50.45527, 15.13751 50...</td>\n",
       "      <td>T33UVS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>e289a164-5948-4b74-9d3b-04247eff57e3</th>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UVU_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-27T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 18:11:26.272</td>\n",
       "      <td>26188</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200627T101031_026188_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UVU_2...</td>\n",
       "      <td>e289a164-5948-4b74-9d3b-04247eff57e3</td>\n",
       "      <td>MULTIPOLYGON (((13.53443 52.25345, 15.14301 52...</td>\n",
       "      <td>T33UVU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>e815c1e9-f708-4363-9f39-32a54db24285</th>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UUT_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-27T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 18:09:51.748</td>\n",
       "      <td>26188</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200627T101031_026188_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UUT_2...</td>\n",
       "      <td>e815c1e9-f708-4363-9f39-32a54db24285</td>\n",
       "      <td>MULTIPOLYGON (((12.12921 51.32805, 13.70458 51...</td>\n",
       "      <td>T33UUT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a7447c20-7312-4117-8b91-c939f1b80676</th>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T32UQE_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-27T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 18:01:04.210</td>\n",
       "      <td>26188</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200627T101031_026188_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T32UQE_2...</td>\n",
       "      <td>a7447c20-7312-4117-8b91-c939f1b80676</td>\n",
       "      <td>MULTIPOLYGON (((13.62469 53.07126, 13.73349 54...</td>\n",
       "      <td>T32UQE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9387c7f1-fa0f-4ce1-9a93-b65992447380</th>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UUV_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-27T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 18:00:08.585</td>\n",
       "      <td>26188</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200627T101031_026188_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UUV_2...</td>\n",
       "      <td>9387c7f1-fa0f-4ce1-9a93-b65992447380</td>\n",
       "      <td>MULTIPOLYGON (((12.74704 53.13706, 13.65112 53...</td>\n",
       "      <td>T33UUV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92afe58b-2b21-4518-9684-d70384225ff2</th>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T32UQC_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-27T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 17:56:21.341</td>\n",
       "      <td>26188</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200627T101031_026188_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T32UQC_2...</td>\n",
       "      <td>92afe58b-2b21-4518-9684-d70384225ff2</td>\n",
       "      <td>MULTIPOLYGON (((13.44210 51.27893, 13.53998 52...</td>\n",
       "      <td>T32UQC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>00b8ac0c-6325-4982-9561-9e8d3d680b4b</th>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UVT_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-27T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 17:56:19.821</td>\n",
       "      <td>26188</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200627T101031_026188_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UVT_2...</td>\n",
       "      <td>00b8ac0c-6325-4982-9561-9e8d3d680b4b</td>\n",
       "      <td>MULTIPOLYGON (((13.56331 51.35443, 15.14019 51...</td>\n",
       "      <td>T33UVT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a9d28ab1-4245-41a3-9491-303bd7414628</th>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UUS_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-27T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 17:56:03.083</td>\n",
       "      <td>26188</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200627T101031_026188_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UUS_2...</td>\n",
       "      <td>a9d28ab1-4245-41a3-9491-303bd7414628</td>\n",
       "      <td>MULTIPOLYGON (((12.18393 50.42971, 13.72930 50...</td>\n",
       "      <td>T33UUS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dcd0ca96-811c-4c6b-b387-43ae712e65f0</th>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T32UQD_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-27T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 17:56:00.953</td>\n",
       "      <td>26188</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200627T101031_026188_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T32UQD_2...</td>\n",
       "      <td>dcd0ca96-811c-4c6b-b387-43ae712e65f0</td>\n",
       "      <td>MULTIPOLYGON (((13.53103 52.17548, 13.63418 53...</td>\n",
       "      <td>T32UQD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10d92f80-60fe-498d-b407-6c059b6ab077</th>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UUT_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-25T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 23:02:08.620</td>\n",
       "      <td>17251</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200625T101559_017251_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UUT_2...</td>\n",
       "      <td>10d92f80-60fe-498d-b407-6c059b6ab077</td>\n",
       "      <td>MULTIPOLYGON (((12.12921 51.32805, 13.70458 51...</td>\n",
       "      <td>T33UUT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>520f1839-a2d3-480e-bacb-3509210dbf55</th>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T32UPE_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-25T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 22:59:53.896</td>\n",
       "      <td>17251</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200625T101559_017251_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T32UPE_2...</td>\n",
       "      <td>520f1839-a2d3-480e-bacb-3509210dbf55</td>\n",
       "      <td>MULTIPOLYGON (((12.13532 53.11988, 12.20926 54...</td>\n",
       "      <td>T32UPE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f6e7a49f-c3e3-4f26-93a8-1d2a067866c6</th>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UUV_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-25T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 22:32:47.479</td>\n",
       "      <td>17251</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200625T101559_017251_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UUV_2...</td>\n",
       "      <td>f6e7a49f-c3e3-4f26-93a8-1d2a067866c6</td>\n",
       "      <td>MULTIPOLYGON (((12.01091 53.12365, 13.65112 53...</td>\n",
       "      <td>T33UUV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0ebace35-7d8e-4564-bec6-f9597525d2fd</th>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T32UQC_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-25T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 22:32:47.106</td>\n",
       "      <td>17251</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200625T101559_017251_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T32UQC_2...</td>\n",
       "      <td>0ebace35-7d8e-4564-bec6-f9597525d2fd</td>\n",
       "      <td>MULTIPOLYGON (((13.44210 51.27893, 13.53998 52...</td>\n",
       "      <td>T32UQC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1168e7e0-1f15-40ab-b910-0f20b6536bf8</th>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UUS_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-25T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 22:32:41.711</td>\n",
       "      <td>17251</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200625T101559_017251_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UUS_2...</td>\n",
       "      <td>1168e7e0-1f15-40ab-b910-0f20b6536bf8</td>\n",
       "      <td>MULTIPOLYGON (((12.18393 50.42971, 13.43645 50...</td>\n",
       "      <td>T33UUS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>e712440f-e364-4bdf-832b-d74982f121b3</th>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T32UQE_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-25T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 22:32:30.258</td>\n",
       "      <td>17251</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200625T101559_017251_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T32UQE_2...</td>\n",
       "      <td>e712440f-e364-4bdf-832b-d74982f121b3</td>\n",
       "      <td>MULTIPOLYGON (((13.62469 53.07126, 13.73349 54...</td>\n",
       "      <td>T32UQE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1e36f0ba-85a9-4015-8e2a-922080a69a5f</th>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UVT_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-25T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 22:31:34.620</td>\n",
       "      <td>17251</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200625T101559_017251_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UVT_2...</td>\n",
       "      <td>1e36f0ba-85a9-4015-8e2a-922080a69a5f</td>\n",
       "      <td>MULTIPOLYGON (((13.56331 51.35443, 13.89451 51...</td>\n",
       "      <td>T33UVT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6361db44-8ba8-472b-aaf6-a1df7c49aee0</th>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UVS_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-25T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 22:31:21.087</td>\n",
       "      <td>17251</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200625T101559_017251_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UVS_2...</td>\n",
       "      <td>6361db44-8ba8-472b-aaf6-a1df7c49aee0</td>\n",
       "      <td>MULTIPOLYGON (((13.58186 50.74516, 13.60377 50...</td>\n",
       "      <td>T33UVS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26d5cf3d-e238-4ecb-a60f-89a74f08c291</th>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T33UUV_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-23T10:30:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 21:04:56.168</td>\n",
       "      <td>26131</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200623T103031_026131_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T33UUV_2...</td>\n",
       "      <td>26d5cf3d-e238-4ecb-a60f-89a74f08c291</td>\n",
       "      <td>MULTIPOLYGON (((12.01091 53.12365, 12.31702 53...</td>\n",
       "      <td>T33UUV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4c841fe7-7fa2-4d1e-9893-962dc4301a94</th>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T33UUU_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-23T10:30:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 21:04:38.113</td>\n",
       "      <td>26131</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200623T103031_026131_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T33UUU_2...</td>\n",
       "      <td>4c841fe7-7fa2-4d1e-9893-962dc4301a94</td>\n",
       "      <td>MULTIPOLYGON (((12.04401 52.63310, 12.05737 52...</td>\n",
       "      <td>T33UUU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ae2ff382-160d-449c-8856-d450fe861207</th>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T32UPE_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-23T10:30:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 21:03:56.690</td>\n",
       "      <td>26131</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200623T103031_026131_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T32UPE_2...</td>\n",
       "      <td>ae2ff382-160d-449c-8856-d450fe861207</td>\n",
       "      <td>MULTIPOLYGON (((12.13532 53.11988, 12.20926 54...</td>\n",
       "      <td>T32UPE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52c652ac-186f-4fd5-ba3d-e937299f7f73</th>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T32UPD_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-23T10:30:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 21:03:53.468</td>\n",
       "      <td>26131</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200623T103031_026131_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T32UPD_2...</td>\n",
       "      <td>52c652ac-186f-4fd5-ba3d-e937299f7f73</td>\n",
       "      <td>MULTIPOLYGON (((11.82522 52.22730, 11.90169 52...</td>\n",
       "      <td>T32UPD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>feb890a1-b3b1-41e8-8c61-283ab92d0f8b</th>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T32UQE_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-23T10:30:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 21:03:20.540</td>\n",
       "      <td>26131</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200623T103031_026131_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T32UQE_2...</td>\n",
       "      <td>feb890a1-b3b1-41e8-8c61-283ab92d0f8b</td>\n",
       "      <td>MULTIPOLYGON (((12.30821 53.11342, 12.37451 53...</td>\n",
       "      <td>T32UQE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93e7901a-94cb-41d2-b23f-780f2a6061a7</th>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T32UQD_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-23T10:30:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 21:03:10.949</td>\n",
       "      <td>26131</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200623T103031_026131_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T32UQD_2...</td>\n",
       "      <td>93e7901a-94cb-41d2-b23f-780f2a6061a7</td>\n",
       "      <td>MULTIPOLYGON (((11.94274 52.44626, 11.97922 52...</td>\n",
       "      <td>T32UQD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>075a119f-2ec2-4fb3-95b3-031512d72273</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UVV_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 20:23:42.840</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UVV_2...</td>\n",
       "      <td>075a119f-2ec2-4fb3-95b3-031512d72273</td>\n",
       "      <td>MULTIPOLYGON (((13.50402 53.15178, 15.14598 53...</td>\n",
       "      <td>T33UVV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333f9a2b-145a-450f-97e7-629ad0c9bd07</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UVU_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 20:23:27.706</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UVU_2...</td>\n",
       "      <td>333f9a2b-145a-450f-97e7-629ad0c9bd07</td>\n",
       "      <td>MULTIPOLYGON (((13.53443 52.25345, 15.14301 52...</td>\n",
       "      <td>T33UVU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9660b897-8a74-46ae-87f7-cb73dd5b718c</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UVT_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 20:19:36.135</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UVT_2...</td>\n",
       "      <td>9660b897-8a74-46ae-87f7-cb73dd5b718c</td>\n",
       "      <td>MULTIPOLYGON (((13.56331 51.35443, 15.14019 51...</td>\n",
       "      <td>T33UVT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UVS_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 20:19:31.758</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UVS_2...</td>\n",
       "      <td>24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6</td>\n",
       "      <td>MULTIPOLYGON (((13.59072 50.45527, 15.13751 50...</td>\n",
       "      <td>T33UVS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c833476b-3fa8-4577-b597-cbc656a9cc8e</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UUV_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 20:19:10.187</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UUV_2...</td>\n",
       "      <td>c833476b-3fa8-4577-b597-cbc656a9cc8e</td>\n",
       "      <td>MULTIPOLYGON (((12.75244 53.13716, 13.65112 53...</td>\n",
       "      <td>T33UUV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34d3c763-e331-4921-94b8-9a495c2eb45f</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UUS_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 19:55:58.177</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UUS_2...</td>\n",
       "      <td>34d3c763-e331-4921-94b8-9a495c2eb45f</td>\n",
       "      <td>MULTIPOLYGON (((12.18393 50.42971, 13.72930 50...</td>\n",
       "      <td>T33UUS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f1cb4919-58a0-4001-932e-573cb847800a</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UUT_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 19:55:49.360</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UUT_2...</td>\n",
       "      <td>f1cb4919-58a0-4001-932e-573cb847800a</td>\n",
       "      <td>MULTIPOLYGON (((12.12921 51.32805, 13.70458 51...</td>\n",
       "      <td>T33UUT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>825d1b8e-0255-4322-b498-aab182840180</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UUU_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 19:55:22.656</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UUU_2...</td>\n",
       "      <td>825d1b8e-0255-4322-b498-aab182840180</td>\n",
       "      <td>MULTIPOLYGON (((12.36045 52.23141, 13.67854 52...</td>\n",
       "      <td>T33UUU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4c941426-e910-49ca-8106-4efe8e945021</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T32UQC_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 19:53:25.329</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T32UQC_2...</td>\n",
       "      <td>4c941426-e910-49ca-8106-4efe8e945021</td>\n",
       "      <td>MULTIPOLYGON (((13.44210 51.27893, 13.53998 52...</td>\n",
       "      <td>T32UQC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0c003a15-58d6-4415-8077-f868cbc39ce9</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T32UQD_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 19:53:18.945</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T32UQD_2...</td>\n",
       "      <td>0c003a15-58d6-4415-8077-f868cbc39ce9</td>\n",
       "      <td>MULTIPOLYGON (((13.53103 52.17548, 13.63418 53...</td>\n",
       "      <td>T32UQD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55be82cc-1f3a-44d2-bd64-f8d743535fac</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T32UQE_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 19:52:49.723</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T32UQE_2...</td>\n",
       "      <td>55be82cc-1f3a-44d2-bd64-f8d743535fac</td>\n",
       "      <td>MULTIPOLYGON (((13.62469 53.07126, 13.73349 54...</td>\n",
       "      <td>T32UQE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bb229b94-a038-4803-bb87-a1486696353d</th>\n",
       "      <td>S2A_MSIL2A_20200620T102031_N0214_R065_T32UPC_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-20T10:20:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-20 10:20:31.024</td>\n",
       "      <td>2020-06-20 10:20:31.024</td>\n",
       "      <td>2020-06-20 19:29:41.638</td>\n",
       "      <td>26088</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200620T102031_026088_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200620T102031_N0214_R065_T32UPC_2...</td>\n",
       "      <td>bb229b94-a038-4803-bb87-a1486696353d</td>\n",
       "      <td>MULTIPOLYGON (((12.01125 51.32452, 12.07776 52...</td>\n",
       "      <td>T32UPC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13da546e-c03b-4c5f-91e4-b0f8b7d78817</th>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T33UVV_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-17T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 21:36:52.948</td>\n",
       "      <td>26045</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200617T101031_026045_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T33UVV_2...</td>\n",
       "      <td>13da546e-c03b-4c5f-91e4-b0f8b7d78817</td>\n",
       "      <td>MULTIPOLYGON (((13.50402 53.15178, 15.14598 53...</td>\n",
       "      <td>T33UVV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>014861d8-7c98-4c05-9dd8-1ce33b43e339</th>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T33UVU_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-17T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 21:36:46.620</td>\n",
       "      <td>26045</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200617T101031_026045_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T33UVU_2...</td>\n",
       "      <td>014861d8-7c98-4c05-9dd8-1ce33b43e339</td>\n",
       "      <td>MULTIPOLYGON (((13.53443 52.25345, 15.14301 52...</td>\n",
       "      <td>T33UVU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>07388c80-e0f5-4bf0-b2fc-a438495f40ed</th>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T33UUV_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-17T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 21:36:21.158</td>\n",
       "      <td>26045</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200617T101031_026045_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T33UUV_2...</td>\n",
       "      <td>07388c80-e0f5-4bf0-b2fc-a438495f40ed</td>\n",
       "      <td>MULTIPOLYGON (((12.74386 53.13700, 13.65112 53...</td>\n",
       "      <td>T33UUV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>d692a650-1806-4e9b-88d1-e824f976c3ea</th>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T32UQD_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-17T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 21:36:05.667</td>\n",
       "      <td>26045</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200617T101031_026045_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T32UQD_2...</td>\n",
       "      <td>d692a650-1806-4e9b-88d1-e824f976c3ea</td>\n",
       "      <td>MULTIPOLYGON (((13.53103 52.17548, 13.63418 53...</td>\n",
       "      <td>T32UQD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>958ef7fc-815e-47c6-b323-219de6a91339</th>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T33UUU_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-17T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 21:35:56.836</td>\n",
       "      <td>26045</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200617T101031_026045_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T33UUU_2...</td>\n",
       "      <td>958ef7fc-815e-47c6-b323-219de6a91339</td>\n",
       "      <td>MULTIPOLYGON (((12.35251 52.23127, 13.67854 52...</td>\n",
       "      <td>T33UUU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f1e2f2d4-2326-4941-80f1-0d36757a86ac</th>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T32UQE_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-17T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 21:31:43.502</td>\n",
       "      <td>26045</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200617T101031_026045_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T32UQE_2...</td>\n",
       "      <td>f1e2f2d4-2326-4941-80f1-0d36757a86ac</td>\n",
       "      <td>MULTIPOLYGON (((13.62469 53.07126, 13.73349 54...</td>\n",
       "      <td>T32UQE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f23f248d-014b-484f-bd8e-40ca23d86e9f</th>\n",
       "      <td>S2B_MSIL2A_20200615T101559_N0214_R065_T33UVV_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-15T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-15 10:15:59.024</td>\n",
       "      <td>2020-06-15 10:15:59.024</td>\n",
       "      <td>2020-06-16 01:22:45.373</td>\n",
       "      <td>17108</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200615T101559_017108_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200615T101559_N0214_R065_T33UVV_2...</td>\n",
       "      <td>f23f248d-014b-484f-bd8e-40ca23d86e9f</td>\n",
       "      <td>MULTIPOLYGON (((13.50402 53.15178, 14.85839 53...</td>\n",
       "      <td>T33UVV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2bf82914-7a10-46f3-82ab-9519bae23bd5</th>\n",
       "      <td>S2B_MSIL2A_20200615T101559_N0214_R065_T33UUT_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-15T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-15 10:15:59.024</td>\n",
       "      <td>2020-06-15 10:15:59.024</td>\n",
       "      <td>2020-06-16 01:21:09.624</td>\n",
       "      <td>17108</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200615T101559_017108_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200615T101559_N0214_R065_T33UUT_2...</td>\n",
       "      <td>2bf82914-7a10-46f3-82ab-9519bae23bd5</td>\n",
       "      <td>MULTIPOLYGON (((12.12921 51.32805, 13.70458 51...</td>\n",
       "      <td>T33UUT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b64d4450-d999-41dc-9ecb-6d263f322dd3</th>\n",
       "      <td>S2B_MSIL2A_20200615T101559_N0214_R065_T33UUU_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-15T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-15 10:15:59.024</td>\n",
       "      <td>2020-06-15 10:15:59.024</td>\n",
       "      <td>2020-06-16 01:21:09.378</td>\n",
       "      <td>17108</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200615T101559_017108_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200615T101559_N0214_R065_T33UUU_2...</td>\n",
       "      <td>b64d4450-d999-41dc-9ecb-6d263f322dd3</td>\n",
       "      <td>MULTIPOLYGON (((12.07160 52.22621, 13.67854 52...</td>\n",
       "      <td>T33UUU</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>51 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                  title  \\\n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1  S2A_MSIL2A_20200630T102031_N0214_R065_T33UUS_2...   \n",
       "a87c7ff5-8664-4002-9258-7b1508a1de78  S2A_MSIL2A_20200630T102031_N0214_R065_T33UUT_2...   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65  S2A_MSIL2A_20200630T102031_N0214_R065_T33UVT_2...   \n",
       "7b322eaf-f037-4b4e-a918-d477d0a052ad  S2A_MSIL2A_20200630T102031_N0214_R065_T32UQC_2...   \n",
       "5c6ef9e1-8828-4d6d-8df4-7274e3b10e14  S2A_MSIL2A_20200630T102031_N0214_R065_T33UVS_2...   \n",
       "04351869-2843-4f17-a706-eff4b1caab2b  S2A_MSIL2A_20200627T101031_N0214_R022_T33UVV_2...   \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36  S2A_MSIL2A_20200627T101031_N0214_R022_T33UUU_2...   \n",
       "0eb59969-087b-4a49-949a-30828e05fe28  S2A_MSIL2A_20200627T101031_N0214_R022_T33UVS_2...   \n",
       "e289a164-5948-4b74-9d3b-04247eff57e3  S2A_MSIL2A_20200627T101031_N0214_R022_T33UVU_2...   \n",
       "e815c1e9-f708-4363-9f39-32a54db24285  S2A_MSIL2A_20200627T101031_N0214_R022_T33UUT_2...   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676  S2A_MSIL2A_20200627T101031_N0214_R022_T32UQE_2...   \n",
       "9387c7f1-fa0f-4ce1-9a93-b65992447380  S2A_MSIL2A_20200627T101031_N0214_R022_T33UUV_2...   \n",
       "92afe58b-2b21-4518-9684-d70384225ff2  S2A_MSIL2A_20200627T101031_N0214_R022_T32UQC_2...   \n",
       "00b8ac0c-6325-4982-9561-9e8d3d680b4b  S2A_MSIL2A_20200627T101031_N0214_R022_T33UVT_2...   \n",
       "a9d28ab1-4245-41a3-9491-303bd7414628  S2A_MSIL2A_20200627T101031_N0214_R022_T33UUS_2...   \n",
       "dcd0ca96-811c-4c6b-b387-43ae712e65f0  S2A_MSIL2A_20200627T101031_N0214_R022_T32UQD_2...   \n",
       "10d92f80-60fe-498d-b407-6c059b6ab077  S2B_MSIL2A_20200625T101559_N0214_R065_T33UUT_2...   \n",
       "520f1839-a2d3-480e-bacb-3509210dbf55  S2B_MSIL2A_20200625T101559_N0214_R065_T32UPE_2...   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6  S2B_MSIL2A_20200625T101559_N0214_R065_T33UUV_2...   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd  S2B_MSIL2A_20200625T101559_N0214_R065_T32UQC_2...   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8  S2B_MSIL2A_20200625T101559_N0214_R065_T33UUS_2...   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3  S2B_MSIL2A_20200625T101559_N0214_R065_T32UQE_2...   \n",
       "1e36f0ba-85a9-4015-8e2a-922080a69a5f  S2B_MSIL2A_20200625T101559_N0214_R065_T33UVT_2...   \n",
       "6361db44-8ba8-472b-aaf6-a1df7c49aee0  S2B_MSIL2A_20200625T101559_N0214_R065_T33UVS_2...   \n",
       "26d5cf3d-e238-4ecb-a60f-89a74f08c291  S2A_MSIL2A_20200623T103031_N0214_R108_T33UUV_2...   \n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94  S2A_MSIL2A_20200623T103031_N0214_R108_T33UUU_2...   \n",
       "ae2ff382-160d-449c-8856-d450fe861207  S2A_MSIL2A_20200623T103031_N0214_R108_T32UPE_2...   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73  S2A_MSIL2A_20200623T103031_N0214_R108_T32UPD_2...   \n",
       "feb890a1-b3b1-41e8-8c61-283ab92d0f8b  S2A_MSIL2A_20200623T103031_N0214_R108_T32UQE_2...   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7  S2A_MSIL2A_20200623T103031_N0214_R108_T32UQD_2...   \n",
       "075a119f-2ec2-4fb3-95b3-031512d72273  S2B_MSIL2A_20200622T100559_N0214_R022_T33UVV_2...   \n",
       "333f9a2b-145a-450f-97e7-629ad0c9bd07  S2B_MSIL2A_20200622T100559_N0214_R022_T33UVU_2...   \n",
       "9660b897-8a74-46ae-87f7-cb73dd5b718c  S2B_MSIL2A_20200622T100559_N0214_R022_T33UVT_2...   \n",
       "24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6  S2B_MSIL2A_20200622T100559_N0214_R022_T33UVS_2...   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e  S2B_MSIL2A_20200622T100559_N0214_R022_T33UUV_2...   \n",
       "34d3c763-e331-4921-94b8-9a495c2eb45f  S2B_MSIL2A_20200622T100559_N0214_R022_T33UUS_2...   \n",
       "f1cb4919-58a0-4001-932e-573cb847800a  S2B_MSIL2A_20200622T100559_N0214_R022_T33UUT_2...   \n",
       "825d1b8e-0255-4322-b498-aab182840180  S2B_MSIL2A_20200622T100559_N0214_R022_T33UUU_2...   \n",
       "4c941426-e910-49ca-8106-4efe8e945021  S2B_MSIL2A_20200622T100559_N0214_R022_T32UQC_2...   \n",
       "0c003a15-58d6-4415-8077-f868cbc39ce9  S2B_MSIL2A_20200622T100559_N0214_R022_T32UQD_2...   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac  S2B_MSIL2A_20200622T100559_N0214_R022_T32UQE_2...   \n",
       "bb229b94-a038-4803-bb87-a1486696353d  S2A_MSIL2A_20200620T102031_N0214_R065_T32UPC_2...   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817  S2A_MSIL2A_20200617T101031_N0214_R022_T33UVV_2...   \n",
       "014861d8-7c98-4c05-9dd8-1ce33b43e339  S2A_MSIL2A_20200617T101031_N0214_R022_T33UVU_2...   \n",
       "07388c80-e0f5-4bf0-b2fc-a438495f40ed  S2A_MSIL2A_20200617T101031_N0214_R022_T33UUV_2...   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea  S2A_MSIL2A_20200617T101031_N0214_R022_T32UQD_2...   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339  S2A_MSIL2A_20200617T101031_N0214_R022_T33UUU_2...   \n",
       "f1e2f2d4-2326-4941-80f1-0d36757a86ac  S2A_MSIL2A_20200617T101031_N0214_R022_T32UQE_2...   \n",
       "f23f248d-014b-484f-bd8e-40ca23d86e9f  S2B_MSIL2A_20200615T101559_N0214_R065_T33UVV_2...   \n",
       "2bf82914-7a10-46f3-82ab-9519bae23bd5  S2B_MSIL2A_20200615T101559_N0214_R065_T33UUT_2...   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3  S2B_MSIL2A_20200615T101559_N0214_R065_T33UUU_2...   \n",
       "\n",
       "                                                                                   link  \\\n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "a87c7ff5-8664-4002-9258-7b1508a1de78  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "7b322eaf-f037-4b4e-a918-d477d0a052ad  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "5c6ef9e1-8828-4d6d-8df4-7274e3b10e14  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "04351869-2843-4f17-a706-eff4b1caab2b  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "0eb59969-087b-4a49-949a-30828e05fe28  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
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       "f23f248d-014b-484f-bd8e-40ca23d86e9f  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "2bf82914-7a10-46f3-82ab-9519bae23bd5  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "\n",
       "                                                                                summary  \\\n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1  Date: 2020-06-30T10:20:31.024Z, Instrument: MS...   \n",
       "a87c7ff5-8664-4002-9258-7b1508a1de78  Date: 2020-06-30T10:20:31.024Z, Instrument: MS...   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65  Date: 2020-06-30T10:20:31.024Z, Instrument: MS...   \n",
       "7b322eaf-f037-4b4e-a918-d477d0a052ad  Date: 2020-06-30T10:20:31.024Z, Instrument: MS...   \n",
       "5c6ef9e1-8828-4d6d-8df4-7274e3b10e14  Date: 2020-06-30T10:20:31.024Z, Instrument: MS...   \n",
       "04351869-2843-4f17-a706-eff4b1caab2b  Date: 2020-06-27T10:10:31.024Z, Instrument: MS...   \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36  Date: 2020-06-27T10:10:31.024Z, Instrument: MS...   \n",
       "0eb59969-087b-4a49-949a-30828e05fe28  Date: 2020-06-27T10:10:31.024Z, Instrument: MS...   \n",
       "e289a164-5948-4b74-9d3b-04247eff57e3  Date: 2020-06-27T10:10:31.024Z, Instrument: MS...   \n",
       "e815c1e9-f708-4363-9f39-32a54db24285  Date: 2020-06-27T10:10:31.024Z, Instrument: MS...   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676  Date: 2020-06-27T10:10:31.024Z, Instrument: MS...   \n",
       "9387c7f1-fa0f-4ce1-9a93-b65992447380  Date: 2020-06-27T10:10:31.024Z, Instrument: MS...   \n",
       "92afe58b-2b21-4518-9684-d70384225ff2  Date: 2020-06-27T10:10:31.024Z, Instrument: MS...   \n",
       "00b8ac0c-6325-4982-9561-9e8d3d680b4b  Date: 2020-06-27T10:10:31.024Z, Instrument: MS...   \n",
       "a9d28ab1-4245-41a3-9491-303bd7414628  Date: 2020-06-27T10:10:31.024Z, Instrument: MS...   \n",
       "dcd0ca96-811c-4c6b-b387-43ae712e65f0  Date: 2020-06-27T10:10:31.024Z, Instrument: MS...   \n",
       "10d92f80-60fe-498d-b407-6c059b6ab077  Date: 2020-06-25T10:15:59.024Z, Instrument: MS...   \n",
       "520f1839-a2d3-480e-bacb-3509210dbf55  Date: 2020-06-25T10:15:59.024Z, Instrument: MS...   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6  Date: 2020-06-25T10:15:59.024Z, Instrument: MS...   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd  Date: 2020-06-25T10:15:59.024Z, Instrument: MS...   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8  Date: 2020-06-25T10:15:59.024Z, Instrument: MS...   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3  Date: 2020-06-25T10:15:59.024Z, Instrument: MS...   \n",
       "1e36f0ba-85a9-4015-8e2a-922080a69a5f  Date: 2020-06-25T10:15:59.024Z, Instrument: MS...   \n",
       "6361db44-8ba8-472b-aaf6-a1df7c49aee0  Date: 2020-06-25T10:15:59.024Z, Instrument: MS...   \n",
       "26d5cf3d-e238-4ecb-a60f-89a74f08c291  Date: 2020-06-23T10:30:31.024Z, Instrument: MS...   \n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94  Date: 2020-06-23T10:30:31.024Z, Instrument: MS...   \n",
       "ae2ff382-160d-449c-8856-d450fe861207  Date: 2020-06-23T10:30:31.024Z, Instrument: MS...   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73  Date: 2020-06-23T10:30:31.024Z, Instrument: MS...   \n",
       "feb890a1-b3b1-41e8-8c61-283ab92d0f8b  Date: 2020-06-23T10:30:31.024Z, Instrument: MS...   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7  Date: 2020-06-23T10:30:31.024Z, Instrument: MS...   \n",
       "075a119f-2ec2-4fb3-95b3-031512d72273  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "333f9a2b-145a-450f-97e7-629ad0c9bd07  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "9660b897-8a74-46ae-87f7-cb73dd5b718c  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "34d3c763-e331-4921-94b8-9a495c2eb45f  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "f1cb4919-58a0-4001-932e-573cb847800a  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "825d1b8e-0255-4322-b498-aab182840180  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "4c941426-e910-49ca-8106-4efe8e945021  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "0c003a15-58d6-4415-8077-f868cbc39ce9  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "bb229b94-a038-4803-bb87-a1486696353d  Date: 2020-06-20T10:20:31.024Z, Instrument: MS...   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817  Date: 2020-06-17T10:10:31.024Z, Instrument: MS...   \n",
       "014861d8-7c98-4c05-9dd8-1ce33b43e339  Date: 2020-06-17T10:10:31.024Z, Instrument: MS...   \n",
       "07388c80-e0f5-4bf0-b2fc-a438495f40ed  Date: 2020-06-17T10:10:31.024Z, Instrument: MS...   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea  Date: 2020-06-17T10:10:31.024Z, Instrument: MS...   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339  Date: 2020-06-17T10:10:31.024Z, Instrument: MS...   \n",
       "f1e2f2d4-2326-4941-80f1-0d36757a86ac  Date: 2020-06-17T10:10:31.024Z, Instrument: MS...   \n",
       "f23f248d-014b-484f-bd8e-40ca23d86e9f  Date: 2020-06-15T10:15:59.024Z, Instrument: MS...   \n",
       "2bf82914-7a10-46f3-82ab-9519bae23bd5  Date: 2020-06-15T10:15:59.024Z, Instrument: MS...   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3  Date: 2020-06-15T10:15:59.024Z, Instrument: MS...   \n",
       "\n",
       "                                     ondemand           beginposition  \\\n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1    false 2020-06-30 10:20:31.024   \n",
       "a87c7ff5-8664-4002-9258-7b1508a1de78    false 2020-06-30 10:20:31.024   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65    false 2020-06-30 10:20:31.024   \n",
       "7b322eaf-f037-4b4e-a918-d477d0a052ad    false 2020-06-30 10:20:31.024   \n",
       "5c6ef9e1-8828-4d6d-8df4-7274e3b10e14    false 2020-06-30 10:20:31.024   \n",
       "04351869-2843-4f17-a706-eff4b1caab2b    false 2020-06-27 10:10:31.024   \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36    false 2020-06-27 10:10:31.024   \n",
       "0eb59969-087b-4a49-949a-30828e05fe28    false 2020-06-27 10:10:31.024   \n",
       "e289a164-5948-4b74-9d3b-04247eff57e3    false 2020-06-27 10:10:31.024   \n",
       "e815c1e9-f708-4363-9f39-32a54db24285    false 2020-06-27 10:10:31.024   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676    false 2020-06-27 10:10:31.024   \n",
       "9387c7f1-fa0f-4ce1-9a93-b65992447380    false 2020-06-27 10:10:31.024   \n",
       "92afe58b-2b21-4518-9684-d70384225ff2    false 2020-06-27 10:10:31.024   \n",
       "00b8ac0c-6325-4982-9561-9e8d3d680b4b    false 2020-06-27 10:10:31.024   \n",
       "a9d28ab1-4245-41a3-9491-303bd7414628    false 2020-06-27 10:10:31.024   \n",
       "dcd0ca96-811c-4c6b-b387-43ae712e65f0    false 2020-06-27 10:10:31.024   \n",
       "10d92f80-60fe-498d-b407-6c059b6ab077    false 2020-06-25 10:15:59.024   \n",
       "520f1839-a2d3-480e-bacb-3509210dbf55    false 2020-06-25 10:15:59.024   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6    false 2020-06-25 10:15:59.024   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd    false 2020-06-25 10:15:59.024   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8    false 2020-06-25 10:15:59.024   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3    false 2020-06-25 10:15:59.024   \n",
       "1e36f0ba-85a9-4015-8e2a-922080a69a5f    false 2020-06-25 10:15:59.024   \n",
       "6361db44-8ba8-472b-aaf6-a1df7c49aee0    false 2020-06-25 10:15:59.024   \n",
       "26d5cf3d-e238-4ecb-a60f-89a74f08c291    false 2020-06-23 10:30:31.024   \n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94    false 2020-06-23 10:30:31.024   \n",
       "ae2ff382-160d-449c-8856-d450fe861207    false 2020-06-23 10:30:31.024   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73    false 2020-06-23 10:30:31.024   \n",
       "feb890a1-b3b1-41e8-8c61-283ab92d0f8b    false 2020-06-23 10:30:31.024   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7    false 2020-06-23 10:30:31.024   \n",
       "075a119f-2ec2-4fb3-95b3-031512d72273    false 2020-06-22 10:05:59.024   \n",
       "333f9a2b-145a-450f-97e7-629ad0c9bd07    false 2020-06-22 10:05:59.024   \n",
       "9660b897-8a74-46ae-87f7-cb73dd5b718c    false 2020-06-22 10:05:59.024   \n",
       "24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6    false 2020-06-22 10:05:59.024   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e    false 2020-06-22 10:05:59.024   \n",
       "34d3c763-e331-4921-94b8-9a495c2eb45f    false 2020-06-22 10:05:59.024   \n",
       "f1cb4919-58a0-4001-932e-573cb847800a    false 2020-06-22 10:05:59.024   \n",
       "825d1b8e-0255-4322-b498-aab182840180    false 2020-06-22 10:05:59.024   \n",
       "4c941426-e910-49ca-8106-4efe8e945021    false 2020-06-22 10:05:59.024   \n",
       "0c003a15-58d6-4415-8077-f868cbc39ce9    false 2020-06-22 10:05:59.024   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac    false 2020-06-22 10:05:59.024   \n",
       "bb229b94-a038-4803-bb87-a1486696353d    false 2020-06-20 10:20:31.024   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817    false 2020-06-17 10:10:31.024   \n",
       "014861d8-7c98-4c05-9dd8-1ce33b43e339    false 2020-06-17 10:10:31.024   \n",
       "07388c80-e0f5-4bf0-b2fc-a438495f40ed    false 2020-06-17 10:10:31.024   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea    false 2020-06-17 10:10:31.024   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339    false 2020-06-17 10:10:31.024   \n",
       "f1e2f2d4-2326-4941-80f1-0d36757a86ac    false 2020-06-17 10:10:31.024   \n",
       "f23f248d-014b-484f-bd8e-40ca23d86e9f    false 2020-06-15 10:15:59.024   \n",
       "2bf82914-7a10-46f3-82ab-9519bae23bd5    false 2020-06-15 10:15:59.024   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3    false 2020-06-15 10:15:59.024   \n",
       "\n",
       "                                                 endposition  \\\n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1 2020-06-30 10:20:31.024   \n",
       "a87c7ff5-8664-4002-9258-7b1508a1de78 2020-06-30 10:20:31.024   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65 2020-06-30 10:20:31.024   \n",
       "7b322eaf-f037-4b4e-a918-d477d0a052ad 2020-06-30 10:20:31.024   \n",
       "5c6ef9e1-8828-4d6d-8df4-7274e3b10e14 2020-06-30 10:20:31.024   \n",
       "04351869-2843-4f17-a706-eff4b1caab2b 2020-06-27 10:10:31.024   \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36 2020-06-27 10:10:31.024   \n",
       "0eb59969-087b-4a49-949a-30828e05fe28 2020-06-27 10:10:31.024   \n",
       "e289a164-5948-4b74-9d3b-04247eff57e3 2020-06-27 10:10:31.024   \n",
       "e815c1e9-f708-4363-9f39-32a54db24285 2020-06-27 10:10:31.024   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676 2020-06-27 10:10:31.024   \n",
       "9387c7f1-fa0f-4ce1-9a93-b65992447380 2020-06-27 10:10:31.024   \n",
       "92afe58b-2b21-4518-9684-d70384225ff2 2020-06-27 10:10:31.024   \n",
       "00b8ac0c-6325-4982-9561-9e8d3d680b4b 2020-06-27 10:10:31.024   \n",
       "a9d28ab1-4245-41a3-9491-303bd7414628 2020-06-27 10:10:31.024   \n",
       "dcd0ca96-811c-4c6b-b387-43ae712e65f0 2020-06-27 10:10:31.024   \n",
       "10d92f80-60fe-498d-b407-6c059b6ab077 2020-06-25 10:15:59.024   \n",
       "520f1839-a2d3-480e-bacb-3509210dbf55 2020-06-25 10:15:59.024   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6 2020-06-25 10:15:59.024   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd 2020-06-25 10:15:59.024   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8 2020-06-25 10:15:59.024   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3 2020-06-25 10:15:59.024   \n",
       "1e36f0ba-85a9-4015-8e2a-922080a69a5f 2020-06-25 10:15:59.024   \n",
       "6361db44-8ba8-472b-aaf6-a1df7c49aee0 2020-06-25 10:15:59.024   \n",
       "26d5cf3d-e238-4ecb-a60f-89a74f08c291 2020-06-23 10:30:31.024   \n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94 2020-06-23 10:30:31.024   \n",
       "ae2ff382-160d-449c-8856-d450fe861207 2020-06-23 10:30:31.024   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73 2020-06-23 10:30:31.024   \n",
       "feb890a1-b3b1-41e8-8c61-283ab92d0f8b 2020-06-23 10:30:31.024   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7 2020-06-23 10:30:31.024   \n",
       "075a119f-2ec2-4fb3-95b3-031512d72273 2020-06-22 10:05:59.024   \n",
       "333f9a2b-145a-450f-97e7-629ad0c9bd07 2020-06-22 10:05:59.024   \n",
       "9660b897-8a74-46ae-87f7-cb73dd5b718c 2020-06-22 10:05:59.024   \n",
       "24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6 2020-06-22 10:05:59.024   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e 2020-06-22 10:05:59.024   \n",
       "34d3c763-e331-4921-94b8-9a495c2eb45f 2020-06-22 10:05:59.024   \n",
       "f1cb4919-58a0-4001-932e-573cb847800a 2020-06-22 10:05:59.024   \n",
       "825d1b8e-0255-4322-b498-aab182840180 2020-06-22 10:05:59.024   \n",
       "4c941426-e910-49ca-8106-4efe8e945021 2020-06-22 10:05:59.024   \n",
       "0c003a15-58d6-4415-8077-f868cbc39ce9 2020-06-22 10:05:59.024   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac 2020-06-22 10:05:59.024   \n",
       "bb229b94-a038-4803-bb87-a1486696353d 2020-06-20 10:20:31.024   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817 2020-06-17 10:10:31.024   \n",
       "014861d8-7c98-4c05-9dd8-1ce33b43e339 2020-06-17 10:10:31.024   \n",
       "07388c80-e0f5-4bf0-b2fc-a438495f40ed 2020-06-17 10:10:31.024   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea 2020-06-17 10:10:31.024   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339 2020-06-17 10:10:31.024   \n",
       "f1e2f2d4-2326-4941-80f1-0d36757a86ac 2020-06-17 10:10:31.024   \n",
       "f23f248d-014b-484f-bd8e-40ca23d86e9f 2020-06-15 10:15:59.024   \n",
       "2bf82914-7a10-46f3-82ab-9519bae23bd5 2020-06-15 10:15:59.024   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3 2020-06-15 10:15:59.024   \n",
       "\n",
       "                                               ingestiondate  orbitnumber  \\\n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1 2020-06-30 21:25:45.202        26231   \n",
       "a87c7ff5-8664-4002-9258-7b1508a1de78 2020-06-30 21:25:45.044        26231   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65 2020-06-30 21:25:20.244        26231   \n",
       "7b322eaf-f037-4b4e-a918-d477d0a052ad 2020-06-30 21:11:52.244        26231   \n",
       "5c6ef9e1-8828-4d6d-8df4-7274e3b10e14 2020-06-30 21:10:52.180        26231   \n",
       "04351869-2843-4f17-a706-eff4b1caab2b 2020-06-27 18:18:15.092        26188   \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36 2020-06-27 18:14:53.910        26188   \n",
       "0eb59969-087b-4a49-949a-30828e05fe28 2020-06-27 18:14:29.349        26188   \n",
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       "\n",
       "                                      ...                        s2datatakeid  \\\n",
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       "825d1b8e-0255-4322-b498-aab182840180  ...  GS2B_20200622T100559_017208_N02.14   \n",
       "4c941426-e910-49ca-8106-4efe8e945021  ...  GS2B_20200622T100559_017208_N02.14   \n",
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       "b64d4450-d999-41dc-9ecb-6d263f322dd3  ...  GS2B_20200615T101559_017108_N02.14   \n",
       "\n",
       "                                      producttype  platformidentifier  \\\n",
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       "00b8ac0c-6325-4982-9561-9e8d3d680b4b      S2MSI2A           2015-028A   \n",
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       "b64d4450-d999-41dc-9ecb-6d263f322dd3      S2MSI2A           2017-013A   \n",
       "\n",
       "                                      orbitdirection  \\\n",
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       "4c841fe7-7fa2-4d1e-9893-962dc4301a94      DESCENDING   \n",
       "ae2ff382-160d-449c-8856-d450fe861207      DESCENDING   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73      DESCENDING   \n",
       "feb890a1-b3b1-41e8-8c61-283ab92d0f8b      DESCENDING   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7      DESCENDING   \n",
       "075a119f-2ec2-4fb3-95b3-031512d72273      DESCENDING   \n",
       "333f9a2b-145a-450f-97e7-629ad0c9bd07      DESCENDING   \n",
       "9660b897-8a74-46ae-87f7-cb73dd5b718c      DESCENDING   \n",
       "24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6      DESCENDING   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e      DESCENDING   \n",
       "34d3c763-e331-4921-94b8-9a495c2eb45f      DESCENDING   \n",
       "f1cb4919-58a0-4001-932e-573cb847800a      DESCENDING   \n",
       "825d1b8e-0255-4322-b498-aab182840180      DESCENDING   \n",
       "4c941426-e910-49ca-8106-4efe8e945021      DESCENDING   \n",
       "0c003a15-58d6-4415-8077-f868cbc39ce9      DESCENDING   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac      DESCENDING   \n",
       "bb229b94-a038-4803-bb87-a1486696353d      DESCENDING   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817      DESCENDING   \n",
       "014861d8-7c98-4c05-9dd8-1ce33b43e339      DESCENDING   \n",
       "07388c80-e0f5-4bf0-b2fc-a438495f40ed      DESCENDING   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea      DESCENDING   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339      DESCENDING   \n",
       "f1e2f2d4-2326-4941-80f1-0d36757a86ac      DESCENDING   \n",
       "f23f248d-014b-484f-bd8e-40ca23d86e9f      DESCENDING   \n",
       "2bf82914-7a10-46f3-82ab-9519bae23bd5      DESCENDING   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3      DESCENDING   \n",
       "\n",
       "                                      platformserialidentifier  \\\n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1               Sentinel-2A   \n",
       "a87c7ff5-8664-4002-9258-7b1508a1de78               Sentinel-2A   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65               Sentinel-2A   \n",
       "7b322eaf-f037-4b4e-a918-d477d0a052ad               Sentinel-2A   \n",
       "5c6ef9e1-8828-4d6d-8df4-7274e3b10e14               Sentinel-2A   \n",
       "04351869-2843-4f17-a706-eff4b1caab2b               Sentinel-2A   \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36               Sentinel-2A   \n",
       "0eb59969-087b-4a49-949a-30828e05fe28               Sentinel-2A   \n",
       "e289a164-5948-4b74-9d3b-04247eff57e3               Sentinel-2A   \n",
       "e815c1e9-f708-4363-9f39-32a54db24285               Sentinel-2A   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676               Sentinel-2A   \n",
       "9387c7f1-fa0f-4ce1-9a93-b65992447380               Sentinel-2A   \n",
       "92afe58b-2b21-4518-9684-d70384225ff2               Sentinel-2A   \n",
       "00b8ac0c-6325-4982-9561-9e8d3d680b4b               Sentinel-2A   \n",
       "a9d28ab1-4245-41a3-9491-303bd7414628               Sentinel-2A   \n",
       "dcd0ca96-811c-4c6b-b387-43ae712e65f0               Sentinel-2A   \n",
       "10d92f80-60fe-498d-b407-6c059b6ab077               Sentinel-2B   \n",
       "520f1839-a2d3-480e-bacb-3509210dbf55               Sentinel-2B   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6               Sentinel-2B   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd               Sentinel-2B   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8               Sentinel-2B   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3               Sentinel-2B   \n",
       "1e36f0ba-85a9-4015-8e2a-922080a69a5f               Sentinel-2B   \n",
       "6361db44-8ba8-472b-aaf6-a1df7c49aee0               Sentinel-2B   \n",
       "26d5cf3d-e238-4ecb-a60f-89a74f08c291               Sentinel-2A   \n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94               Sentinel-2A   \n",
       "ae2ff382-160d-449c-8856-d450fe861207               Sentinel-2A   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73               Sentinel-2A   \n",
       "feb890a1-b3b1-41e8-8c61-283ab92d0f8b               Sentinel-2A   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7               Sentinel-2A   \n",
       "075a119f-2ec2-4fb3-95b3-031512d72273               Sentinel-2B   \n",
       "333f9a2b-145a-450f-97e7-629ad0c9bd07               Sentinel-2B   \n",
       "9660b897-8a74-46ae-87f7-cb73dd5b718c               Sentinel-2B   \n",
       "24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6               Sentinel-2B   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e               Sentinel-2B   \n",
       "34d3c763-e331-4921-94b8-9a495c2eb45f               Sentinel-2B   \n",
       "f1cb4919-58a0-4001-932e-573cb847800a               Sentinel-2B   \n",
       "825d1b8e-0255-4322-b498-aab182840180               Sentinel-2B   \n",
       "4c941426-e910-49ca-8106-4efe8e945021               Sentinel-2B   \n",
       "0c003a15-58d6-4415-8077-f868cbc39ce9               Sentinel-2B   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac               Sentinel-2B   \n",
       "bb229b94-a038-4803-bb87-a1486696353d               Sentinel-2A   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817               Sentinel-2A   \n",
       "014861d8-7c98-4c05-9dd8-1ce33b43e339               Sentinel-2A   \n",
       "07388c80-e0f5-4bf0-b2fc-a438495f40ed               Sentinel-2A   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea               Sentinel-2A   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339               Sentinel-2A   \n",
       "f1e2f2d4-2326-4941-80f1-0d36757a86ac               Sentinel-2A   \n",
       "f23f248d-014b-484f-bd8e-40ca23d86e9f               Sentinel-2B   \n",
       "2bf82914-7a10-46f3-82ab-9519bae23bd5               Sentinel-2B   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3               Sentinel-2B   \n",
       "\n",
       "                                      processinglevel  \\\n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1         Level-2A   \n",
       "a87c7ff5-8664-4002-9258-7b1508a1de78         Level-2A   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65         Level-2A   \n",
       "7b322eaf-f037-4b4e-a918-d477d0a052ad         Level-2A   \n",
       "5c6ef9e1-8828-4d6d-8df4-7274e3b10e14         Level-2A   \n",
       "04351869-2843-4f17-a706-eff4b1caab2b         Level-2A   \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36         Level-2A   \n",
       "0eb59969-087b-4a49-949a-30828e05fe28         Level-2A   \n",
       "e289a164-5948-4b74-9d3b-04247eff57e3         Level-2A   \n",
       "e815c1e9-f708-4363-9f39-32a54db24285         Level-2A   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676         Level-2A   \n",
       "9387c7f1-fa0f-4ce1-9a93-b65992447380         Level-2A   \n",
       "92afe58b-2b21-4518-9684-d70384225ff2         Level-2A   \n",
       "00b8ac0c-6325-4982-9561-9e8d3d680b4b         Level-2A   \n",
       "a9d28ab1-4245-41a3-9491-303bd7414628         Level-2A   \n",
       "dcd0ca96-811c-4c6b-b387-43ae712e65f0         Level-2A   \n",
       "10d92f80-60fe-498d-b407-6c059b6ab077         Level-2A   \n",
       "520f1839-a2d3-480e-bacb-3509210dbf55         Level-2A   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6         Level-2A   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd         Level-2A   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8         Level-2A   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3         Level-2A   \n",
       "1e36f0ba-85a9-4015-8e2a-922080a69a5f         Level-2A   \n",
       "6361db44-8ba8-472b-aaf6-a1df7c49aee0         Level-2A   \n",
       "26d5cf3d-e238-4ecb-a60f-89a74f08c291         Level-2A   \n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94         Level-2A   \n",
       "ae2ff382-160d-449c-8856-d450fe861207         Level-2A   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73         Level-2A   \n",
       "feb890a1-b3b1-41e8-8c61-283ab92d0f8b         Level-2A   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7         Level-2A   \n",
       "075a119f-2ec2-4fb3-95b3-031512d72273         Level-2A   \n",
       "333f9a2b-145a-450f-97e7-629ad0c9bd07         Level-2A   \n",
       "9660b897-8a74-46ae-87f7-cb73dd5b718c         Level-2A   \n",
       "24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6         Level-2A   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e         Level-2A   \n",
       "34d3c763-e331-4921-94b8-9a495c2eb45f         Level-2A   \n",
       "f1cb4919-58a0-4001-932e-573cb847800a         Level-2A   \n",
       "825d1b8e-0255-4322-b498-aab182840180         Level-2A   \n",
       "4c941426-e910-49ca-8106-4efe8e945021         Level-2A   \n",
       "0c003a15-58d6-4415-8077-f868cbc39ce9         Level-2A   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac         Level-2A   \n",
       "bb229b94-a038-4803-bb87-a1486696353d         Level-2A   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817         Level-2A   \n",
       "014861d8-7c98-4c05-9dd8-1ce33b43e339         Level-2A   \n",
       "07388c80-e0f5-4bf0-b2fc-a438495f40ed         Level-2A   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea         Level-2A   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339         Level-2A   \n",
       "f1e2f2d4-2326-4941-80f1-0d36757a86ac         Level-2A   \n",
       "f23f248d-014b-484f-bd8e-40ca23d86e9f         Level-2A   \n",
       "2bf82914-7a10-46f3-82ab-9519bae23bd5         Level-2A   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3         Level-2A   \n",
       "\n",
       "                                                                             identifier  \\\n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1  S2A_MSIL2A_20200630T102031_N0214_R065_T33UUS_2...   \n",
       "a87c7ff5-8664-4002-9258-7b1508a1de78  S2A_MSIL2A_20200630T102031_N0214_R065_T33UUT_2...   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65  S2A_MSIL2A_20200630T102031_N0214_R065_T33UVT_2...   \n",
       "7b322eaf-f037-4b4e-a918-d477d0a052ad  S2A_MSIL2A_20200630T102031_N0214_R065_T32UQC_2...   \n",
       "5c6ef9e1-8828-4d6d-8df4-7274e3b10e14  S2A_MSIL2A_20200630T102031_N0214_R065_T33UVS_2...   \n",
       "04351869-2843-4f17-a706-eff4b1caab2b  S2A_MSIL2A_20200627T101031_N0214_R022_T33UVV_2...   \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36  S2A_MSIL2A_20200627T101031_N0214_R022_T33UUU_2...   \n",
       "0eb59969-087b-4a49-949a-30828e05fe28  S2A_MSIL2A_20200627T101031_N0214_R022_T33UVS_2...   \n",
       "e289a164-5948-4b74-9d3b-04247eff57e3  S2A_MSIL2A_20200627T101031_N0214_R022_T33UVU_2...   \n",
       "e815c1e9-f708-4363-9f39-32a54db24285  S2A_MSIL2A_20200627T101031_N0214_R022_T33UUT_2...   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676  S2A_MSIL2A_20200627T101031_N0214_R022_T32UQE_2...   \n",
       "9387c7f1-fa0f-4ce1-9a93-b65992447380  S2A_MSIL2A_20200627T101031_N0214_R022_T33UUV_2...   \n",
       "92afe58b-2b21-4518-9684-d70384225ff2  S2A_MSIL2A_20200627T101031_N0214_R022_T32UQC_2...   \n",
       "00b8ac0c-6325-4982-9561-9e8d3d680b4b  S2A_MSIL2A_20200627T101031_N0214_R022_T33UVT_2...   \n",
       "a9d28ab1-4245-41a3-9491-303bd7414628  S2A_MSIL2A_20200627T101031_N0214_R022_T33UUS_2...   \n",
       "dcd0ca96-811c-4c6b-b387-43ae712e65f0  S2A_MSIL2A_20200627T101031_N0214_R022_T32UQD_2...   \n",
       "10d92f80-60fe-498d-b407-6c059b6ab077  S2B_MSIL2A_20200625T101559_N0214_R065_T33UUT_2...   \n",
       "520f1839-a2d3-480e-bacb-3509210dbf55  S2B_MSIL2A_20200625T101559_N0214_R065_T32UPE_2...   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6  S2B_MSIL2A_20200625T101559_N0214_R065_T33UUV_2...   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd  S2B_MSIL2A_20200625T101559_N0214_R065_T32UQC_2...   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8  S2B_MSIL2A_20200625T101559_N0214_R065_T33UUS_2...   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3  S2B_MSIL2A_20200625T101559_N0214_R065_T32UQE_2...   \n",
       "1e36f0ba-85a9-4015-8e2a-922080a69a5f  S2B_MSIL2A_20200625T101559_N0214_R065_T33UVT_2...   \n",
       "6361db44-8ba8-472b-aaf6-a1df7c49aee0  S2B_MSIL2A_20200625T101559_N0214_R065_T33UVS_2...   \n",
       "26d5cf3d-e238-4ecb-a60f-89a74f08c291  S2A_MSIL2A_20200623T103031_N0214_R108_T33UUV_2...   \n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94  S2A_MSIL2A_20200623T103031_N0214_R108_T33UUU_2...   \n",
       "ae2ff382-160d-449c-8856-d450fe861207  S2A_MSIL2A_20200623T103031_N0214_R108_T32UPE_2...   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73  S2A_MSIL2A_20200623T103031_N0214_R108_T32UPD_2...   \n",
       "feb890a1-b3b1-41e8-8c61-283ab92d0f8b  S2A_MSIL2A_20200623T103031_N0214_R108_T32UQE_2...   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7  S2A_MSIL2A_20200623T103031_N0214_R108_T32UQD_2...   \n",
       "075a119f-2ec2-4fb3-95b3-031512d72273  S2B_MSIL2A_20200622T100559_N0214_R022_T33UVV_2...   \n",
       "333f9a2b-145a-450f-97e7-629ad0c9bd07  S2B_MSIL2A_20200622T100559_N0214_R022_T33UVU_2...   \n",
       "9660b897-8a74-46ae-87f7-cb73dd5b718c  S2B_MSIL2A_20200622T100559_N0214_R022_T33UVT_2...   \n",
       "24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6  S2B_MSIL2A_20200622T100559_N0214_R022_T33UVS_2...   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e  S2B_MSIL2A_20200622T100559_N0214_R022_T33UUV_2...   \n",
       "34d3c763-e331-4921-94b8-9a495c2eb45f  S2B_MSIL2A_20200622T100559_N0214_R022_T33UUS_2...   \n",
       "f1cb4919-58a0-4001-932e-573cb847800a  S2B_MSIL2A_20200622T100559_N0214_R022_T33UUT_2...   \n",
       "825d1b8e-0255-4322-b498-aab182840180  S2B_MSIL2A_20200622T100559_N0214_R022_T33UUU_2...   \n",
       "4c941426-e910-49ca-8106-4efe8e945021  S2B_MSIL2A_20200622T100559_N0214_R022_T32UQC_2...   \n",
       "0c003a15-58d6-4415-8077-f868cbc39ce9  S2B_MSIL2A_20200622T100559_N0214_R022_T32UQD_2...   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac  S2B_MSIL2A_20200622T100559_N0214_R022_T32UQE_2...   \n",
       "bb229b94-a038-4803-bb87-a1486696353d  S2A_MSIL2A_20200620T102031_N0214_R065_T32UPC_2...   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817  S2A_MSIL2A_20200617T101031_N0214_R022_T33UVV_2...   \n",
       "014861d8-7c98-4c05-9dd8-1ce33b43e339  S2A_MSIL2A_20200617T101031_N0214_R022_T33UVU_2...   \n",
       "07388c80-e0f5-4bf0-b2fc-a438495f40ed  S2A_MSIL2A_20200617T101031_N0214_R022_T33UUV_2...   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea  S2A_MSIL2A_20200617T101031_N0214_R022_T32UQD_2...   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339  S2A_MSIL2A_20200617T101031_N0214_R022_T33UUU_2...   \n",
       "f1e2f2d4-2326-4941-80f1-0d36757a86ac  S2A_MSIL2A_20200617T101031_N0214_R022_T32UQE_2...   \n",
       "f23f248d-014b-484f-bd8e-40ca23d86e9f  S2B_MSIL2A_20200615T101559_N0214_R065_T33UVV_2...   \n",
       "2bf82914-7a10-46f3-82ab-9519bae23bd5  S2B_MSIL2A_20200615T101559_N0214_R065_T33UUT_2...   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3  S2B_MSIL2A_20200615T101559_N0214_R065_T33UUU_2...   \n",
       "\n",
       "                                                                      uuid  \\\n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1  eb1fec8e-d933-48c3-99f2-c2b3731dc5a1   \n",
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       "\n",
       "                                                                               geometry  \\\n",
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       "\n",
       "                                        tile  \n",
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       "\n",
       "[51 rows x 37 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "products_in_union"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's try to further reduce the amount of products we need to download by dropping identical geometries, keeping the one with the smallest cloud cover:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>title</th>\n",
       "      <th>link</th>\n",
       "      <th>link_alternative</th>\n",
       "      <th>link_icon</th>\n",
       "      <th>summary</th>\n",
       "      <th>ondemand</th>\n",
       "      <th>beginposition</th>\n",
       "      <th>endposition</th>\n",
       "      <th>ingestiondate</th>\n",
       "      <th>orbitnumber</th>\n",
       "      <th>...</th>\n",
       "      <th>s2datatakeid</th>\n",
       "      <th>producttype</th>\n",
       "      <th>platformidentifier</th>\n",
       "      <th>orbitdirection</th>\n",
       "      <th>platformserialidentifier</th>\n",
       "      <th>processinglevel</th>\n",
       "      <th>identifier</th>\n",
       "      <th>uuid</th>\n",
       "      <th>geometry</th>\n",
       "      <th>tile</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4c841fe7-7fa2-4d1e-9893-962dc4301a94</th>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T33UUU_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-23T10:30:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 21:04:38.113</td>\n",
       "      <td>26131</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200623T103031_026131_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T33UUU_2...</td>\n",
       "      <td>4c841fe7-7fa2-4d1e-9893-962dc4301a94</td>\n",
       "      <td>MULTIPOLYGON (((12.04401 52.63310, 12.05737 52...</td>\n",
       "      <td>T33UUU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93e7901a-94cb-41d2-b23f-780f2a6061a7</th>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T32UQD_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-23T10:30:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 21:03:10.949</td>\n",
       "      <td>26131</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200623T103031_026131_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T32UQD_2...</td>\n",
       "      <td>93e7901a-94cb-41d2-b23f-780f2a6061a7</td>\n",
       "      <td>MULTIPOLYGON (((11.94274 52.44626, 11.97922 52...</td>\n",
       "      <td>T32UQD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52c652ac-186f-4fd5-ba3d-e937299f7f73</th>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T32UPD_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-23T10:30:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 21:03:53.468</td>\n",
       "      <td>26131</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200623T103031_026131_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T32UPD_2...</td>\n",
       "      <td>52c652ac-186f-4fd5-ba3d-e937299f7f73</td>\n",
       "      <td>MULTIPOLYGON (((11.82522 52.22730, 11.90169 52...</td>\n",
       "      <td>T32UPD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>feb890a1-b3b1-41e8-8c61-283ab92d0f8b</th>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T32UQE_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-23T10:30:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 21:03:20.540</td>\n",
       "      <td>26131</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200623T103031_026131_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T32UQE_2...</td>\n",
       "      <td>feb890a1-b3b1-41e8-8c61-283ab92d0f8b</td>\n",
       "      <td>MULTIPOLYGON (((12.30821 53.11342, 12.37451 53...</td>\n",
       "      <td>T32UQE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26d5cf3d-e238-4ecb-a60f-89a74f08c291</th>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T33UUV_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-23T10:30:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 21:04:56.168</td>\n",
       "      <td>26131</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200623T103031_026131_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T33UUV_2...</td>\n",
       "      <td>26d5cf3d-e238-4ecb-a60f-89a74f08c291</td>\n",
       "      <td>MULTIPOLYGON (((12.01091 53.12365, 12.31702 53...</td>\n",
       "      <td>T33UUV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ae2ff382-160d-449c-8856-d450fe861207</th>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T32UPE_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-23T10:30:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 10:30:31.024</td>\n",
       "      <td>2020-06-23 21:03:56.690</td>\n",
       "      <td>26131</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200623T103031_026131_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200623T103031_N0214_R108_T32UPE_2...</td>\n",
       "      <td>ae2ff382-160d-449c-8856-d450fe861207</td>\n",
       "      <td>MULTIPOLYGON (((12.13532 53.11988, 12.20926 54...</td>\n",
       "      <td>T32UPE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b64d4450-d999-41dc-9ecb-6d263f322dd3</th>\n",
       "      <td>S2B_MSIL2A_20200615T101559_N0214_R065_T33UUU_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-15T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-15 10:15:59.024</td>\n",
       "      <td>2020-06-15 10:15:59.024</td>\n",
       "      <td>2020-06-16 01:21:09.378</td>\n",
       "      <td>17108</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200615T101559_017108_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200615T101559_N0214_R065_T33UUU_2...</td>\n",
       "      <td>b64d4450-d999-41dc-9ecb-6d263f322dd3</td>\n",
       "      <td>MULTIPOLYGON (((12.07160 52.22621, 13.67854 52...</td>\n",
       "      <td>T33UUU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13da546e-c03b-4c5f-91e4-b0f8b7d78817</th>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T33UVV_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-17T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 21:36:52.948</td>\n",
       "      <td>26045</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200617T101031_026045_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T33UVV_2...</td>\n",
       "      <td>13da546e-c03b-4c5f-91e4-b0f8b7d78817</td>\n",
       "      <td>MULTIPOLYGON (((13.50402 53.15178, 15.14598 53...</td>\n",
       "      <td>T33UVV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dcd0ca96-811c-4c6b-b387-43ae712e65f0</th>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T32UQD_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-27T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 17:56:00.953</td>\n",
       "      <td>26188</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200627T101031_026188_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T32UQD_2...</td>\n",
       "      <td>dcd0ca96-811c-4c6b-b387-43ae712e65f0</td>\n",
       "      <td>MULTIPOLYGON (((13.53103 52.17548, 13.63418 53...</td>\n",
       "      <td>T32UQD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8ff98302-bc88-4fb4-9f53-c6959af6fa36</th>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UUU_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-27T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 18:14:53.910</td>\n",
       "      <td>26188</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200627T101031_026188_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UUU_2...</td>\n",
       "      <td>8ff98302-bc88-4fb4-9f53-c6959af6fa36</td>\n",
       "      <td>MULTIPOLYGON (((12.35583 52.23133, 13.67854 52...</td>\n",
       "      <td>T33UUU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f23f248d-014b-484f-bd8e-40ca23d86e9f</th>\n",
       "      <td>S2B_MSIL2A_20200615T101559_N0214_R065_T33UVV_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-15T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-15 10:15:59.024</td>\n",
       "      <td>2020-06-15 10:15:59.024</td>\n",
       "      <td>2020-06-16 01:22:45.373</td>\n",
       "      <td>17108</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200615T101559_017108_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200615T101559_N0214_R065_T33UVV_2...</td>\n",
       "      <td>f23f248d-014b-484f-bd8e-40ca23d86e9f</td>\n",
       "      <td>MULTIPOLYGON (((13.50402 53.15178, 14.85839 53...</td>\n",
       "      <td>T33UVV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333f9a2b-145a-450f-97e7-629ad0c9bd07</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UVU_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 20:23:27.706</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UVU_2...</td>\n",
       "      <td>333f9a2b-145a-450f-97e7-629ad0c9bd07</td>\n",
       "      <td>MULTIPOLYGON (((13.53443 52.25345, 15.14301 52...</td>\n",
       "      <td>T33UVU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9660b897-8a74-46ae-87f7-cb73dd5b718c</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UVT_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 20:19:36.135</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UVT_2...</td>\n",
       "      <td>9660b897-8a74-46ae-87f7-cb73dd5b718c</td>\n",
       "      <td>MULTIPOLYGON (((13.56331 51.35443, 15.14019 51...</td>\n",
       "      <td>T33UVT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5c6ef9e1-8828-4d6d-8df4-7274e3b10e14</th>\n",
       "      <td>S2A_MSIL2A_20200630T102031_N0214_R065_T33UVS_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-30T10:20:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-30 10:20:31.024</td>\n",
       "      <td>2020-06-30 10:20:31.024</td>\n",
       "      <td>2020-06-30 21:10:52.180</td>\n",
       "      <td>26231</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200630T102031_026231_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200630T102031_N0214_R065_T33UVS_2...</td>\n",
       "      <td>5c6ef9e1-8828-4d6d-8df4-7274e3b10e14</td>\n",
       "      <td>MULTIPOLYGON (((13.58157 50.75469, 13.63555 50...</td>\n",
       "      <td>T33UVS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UVS_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 20:19:31.758</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UVS_2...</td>\n",
       "      <td>24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6</td>\n",
       "      <td>MULTIPOLYGON (((13.59072 50.45527, 15.13751 50...</td>\n",
       "      <td>T33UVS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a9d28ab1-4245-41a3-9491-303bd7414628</th>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UUS_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-27T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 17:56:03.083</td>\n",
       "      <td>26188</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200627T101031_026188_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UUS_2...</td>\n",
       "      <td>a9d28ab1-4245-41a3-9491-303bd7414628</td>\n",
       "      <td>MULTIPOLYGON (((12.18393 50.42971, 13.72930 50...</td>\n",
       "      <td>T33UUS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>eb1fec8e-d933-48c3-99f2-c2b3731dc5a1</th>\n",
       "      <td>S2A_MSIL2A_20200630T102031_N0214_R065_T33UUS_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-30T10:20:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-30 10:20:31.024</td>\n",
       "      <td>2020-06-30 10:20:31.024</td>\n",
       "      <td>2020-06-30 21:25:45.202</td>\n",
       "      <td>26231</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200630T102031_026231_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200630T102031_N0214_R065_T33UUS_2...</td>\n",
       "      <td>eb1fec8e-d933-48c3-99f2-c2b3731dc5a1</td>\n",
       "      <td>MULTIPOLYGON (((12.18393 50.42971, 13.43099 50...</td>\n",
       "      <td>T33UUS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92afe58b-2b21-4518-9684-d70384225ff2</th>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T32UQC_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-27T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 17:56:21.341</td>\n",
       "      <td>26188</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200627T101031_026188_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T32UQC_2...</td>\n",
       "      <td>92afe58b-2b21-4518-9684-d70384225ff2</td>\n",
       "      <td>MULTIPOLYGON (((13.44210 51.27893, 13.53998 52...</td>\n",
       "      <td>T32UQC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>e815c1e9-f708-4363-9f39-32a54db24285</th>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UUT_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-27T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 18:09:51.748</td>\n",
       "      <td>26188</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200627T101031_026188_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UUT_2...</td>\n",
       "      <td>e815c1e9-f708-4363-9f39-32a54db24285</td>\n",
       "      <td>MULTIPOLYGON (((12.12921 51.32805, 13.70458 51...</td>\n",
       "      <td>T33UUT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>520f1839-a2d3-480e-bacb-3509210dbf55</th>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T32UPE_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-25T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 22:59:53.896</td>\n",
       "      <td>17251</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200625T101559_017251_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T32UPE_2...</td>\n",
       "      <td>520f1839-a2d3-480e-bacb-3509210dbf55</td>\n",
       "      <td>MULTIPOLYGON (((12.13532 53.11988, 12.20926 54...</td>\n",
       "      <td>T32UPE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65</th>\n",
       "      <td>S2A_MSIL2A_20200630T102031_N0214_R065_T33UVT_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-30T10:20:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-30 10:20:31.024</td>\n",
       "      <td>2020-06-30 10:20:31.024</td>\n",
       "      <td>2020-06-30 21:25:20.244</td>\n",
       "      <td>26231</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200630T102031_026231_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200630T102031_N0214_R065_T33UVT_2...</td>\n",
       "      <td>8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65</td>\n",
       "      <td>MULTIPOLYGON (((13.56331 51.35443, 13.89039 51...</td>\n",
       "      <td>T33UVT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f1e2f2d4-2326-4941-80f1-0d36757a86ac</th>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T32UQE_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-17T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 21:31:43.502</td>\n",
       "      <td>26045</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200617T101031_026045_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T32UQE_2...</td>\n",
       "      <td>f1e2f2d4-2326-4941-80f1-0d36757a86ac</td>\n",
       "      <td>MULTIPOLYGON (((13.62469 53.07126, 13.73349 54...</td>\n",
       "      <td>T32UQE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>07388c80-e0f5-4bf0-b2fc-a438495f40ed</th>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T33UUV_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-17T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 21:36:21.158</td>\n",
       "      <td>26045</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200617T101031_026045_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T33UUV_2...</td>\n",
       "      <td>07388c80-e0f5-4bf0-b2fc-a438495f40ed</td>\n",
       "      <td>MULTIPOLYGON (((12.74386 53.13700, 13.65112 53...</td>\n",
       "      <td>T33UUV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0c003a15-58d6-4415-8077-f868cbc39ce9</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T32UQD_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 19:53:18.945</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T32UQD_2...</td>\n",
       "      <td>0c003a15-58d6-4415-8077-f868cbc39ce9</td>\n",
       "      <td>MULTIPOLYGON (((13.53103 52.17548, 13.63418 53...</td>\n",
       "      <td>T32UQD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6361db44-8ba8-472b-aaf6-a1df7c49aee0</th>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UVS_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-25T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 22:31:21.087</td>\n",
       "      <td>17251</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200625T101559_017251_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UVS_2...</td>\n",
       "      <td>6361db44-8ba8-472b-aaf6-a1df7c49aee0</td>\n",
       "      <td>MULTIPOLYGON (((13.58186 50.74516, 13.60377 50...</td>\n",
       "      <td>T33UVS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>825d1b8e-0255-4322-b498-aab182840180</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UUU_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 19:55:22.656</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UUU_2...</td>\n",
       "      <td>825d1b8e-0255-4322-b498-aab182840180</td>\n",
       "      <td>MULTIPOLYGON (((12.36045 52.23141, 13.67854 52...</td>\n",
       "      <td>T33UUU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a7447c20-7312-4117-8b91-c939f1b80676</th>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T32UQE_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-27T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 18:01:04.210</td>\n",
       "      <td>26188</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200627T101031_026188_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T32UQE_2...</td>\n",
       "      <td>a7447c20-7312-4117-8b91-c939f1b80676</td>\n",
       "      <td>MULTIPOLYGON (((13.62469 53.07126, 13.73349 54...</td>\n",
       "      <td>T32UQE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9387c7f1-fa0f-4ce1-9a93-b65992447380</th>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UUV_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-27T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 10:10:31.024</td>\n",
       "      <td>2020-06-27 18:00:08.585</td>\n",
       "      <td>26188</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200627T101031_026188_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200627T101031_N0214_R022_T33UUV_2...</td>\n",
       "      <td>9387c7f1-fa0f-4ce1-9a93-b65992447380</td>\n",
       "      <td>MULTIPOLYGON (((12.74704 53.13706, 13.65112 53...</td>\n",
       "      <td>T33UUV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1e36f0ba-85a9-4015-8e2a-922080a69a5f</th>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UVT_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-25T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 22:31:34.620</td>\n",
       "      <td>17251</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200625T101559_017251_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UVT_2...</td>\n",
       "      <td>1e36f0ba-85a9-4015-8e2a-922080a69a5f</td>\n",
       "      <td>MULTIPOLYGON (((13.56331 51.35443, 13.89451 51...</td>\n",
       "      <td>T33UVT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f1cb4919-58a0-4001-932e-573cb847800a</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UUT_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 19:55:49.360</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UUT_2...</td>\n",
       "      <td>f1cb4919-58a0-4001-932e-573cb847800a</td>\n",
       "      <td>MULTIPOLYGON (((12.12921 51.32805, 13.70458 51...</td>\n",
       "      <td>T33UUT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4c941426-e910-49ca-8106-4efe8e945021</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T32UQC_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 19:53:25.329</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T32UQC_2...</td>\n",
       "      <td>4c941426-e910-49ca-8106-4efe8e945021</td>\n",
       "      <td>MULTIPOLYGON (((13.44210 51.27893, 13.53998 52...</td>\n",
       "      <td>T32UQC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>d692a650-1806-4e9b-88d1-e824f976c3ea</th>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T32UQD_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-17T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 21:36:05.667</td>\n",
       "      <td>26045</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200617T101031_026045_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T32UQD_2...</td>\n",
       "      <td>d692a650-1806-4e9b-88d1-e824f976c3ea</td>\n",
       "      <td>MULTIPOLYGON (((13.53103 52.17548, 13.63418 53...</td>\n",
       "      <td>T32UQD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>958ef7fc-815e-47c6-b323-219de6a91339</th>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T33UUU_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-17T10:10:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 10:10:31.024</td>\n",
       "      <td>2020-06-17 21:35:56.836</td>\n",
       "      <td>26045</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200617T101031_026045_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200617T101031_N0214_R022_T33UUU_2...</td>\n",
       "      <td>958ef7fc-815e-47c6-b323-219de6a91339</td>\n",
       "      <td>MULTIPOLYGON (((12.35251 52.23127, 13.67854 52...</td>\n",
       "      <td>T33UUU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10d92f80-60fe-498d-b407-6c059b6ab077</th>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UUT_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-25T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 23:02:08.620</td>\n",
       "      <td>17251</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200625T101559_017251_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UUT_2...</td>\n",
       "      <td>10d92f80-60fe-498d-b407-6c059b6ab077</td>\n",
       "      <td>MULTIPOLYGON (((12.12921 51.32805, 13.70458 51...</td>\n",
       "      <td>T33UUT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1168e7e0-1f15-40ab-b910-0f20b6536bf8</th>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UUS_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-25T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 22:32:41.711</td>\n",
       "      <td>17251</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200625T101559_017251_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UUS_2...</td>\n",
       "      <td>1168e7e0-1f15-40ab-b910-0f20b6536bf8</td>\n",
       "      <td>MULTIPOLYGON (((12.18393 50.42971, 13.43645 50...</td>\n",
       "      <td>T33UUS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55be82cc-1f3a-44d2-bd64-f8d743535fac</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T32UQE_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 19:52:49.723</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T32UQE_2...</td>\n",
       "      <td>55be82cc-1f3a-44d2-bd64-f8d743535fac</td>\n",
       "      <td>MULTIPOLYGON (((13.62469 53.07126, 13.73349 54...</td>\n",
       "      <td>T32UQE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0ebace35-7d8e-4564-bec6-f9597525d2fd</th>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T32UQC_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-25T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 22:32:47.106</td>\n",
       "      <td>17251</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200625T101559_017251_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T32UQC_2...</td>\n",
       "      <td>0ebace35-7d8e-4564-bec6-f9597525d2fd</td>\n",
       "      <td>MULTIPOLYGON (((13.44210 51.27893, 13.53998 52...</td>\n",
       "      <td>T32UQC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c833476b-3fa8-4577-b597-cbc656a9cc8e</th>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UUV_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-22T10:05:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 10:05:59.024</td>\n",
       "      <td>2020-06-22 20:19:10.187</td>\n",
       "      <td>17208</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200622T100559_017208_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200622T100559_N0214_R022_T33UUV_2...</td>\n",
       "      <td>c833476b-3fa8-4577-b597-cbc656a9cc8e</td>\n",
       "      <td>MULTIPOLYGON (((12.75244 53.13716, 13.65112 53...</td>\n",
       "      <td>T33UUV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bb229b94-a038-4803-bb87-a1486696353d</th>\n",
       "      <td>S2A_MSIL2A_20200620T102031_N0214_R065_T32UPC_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-20T10:20:31.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-20 10:20:31.024</td>\n",
       "      <td>2020-06-20 10:20:31.024</td>\n",
       "      <td>2020-06-20 19:29:41.638</td>\n",
       "      <td>26088</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2A_20200620T102031_026088_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2015-028A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2A</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2A_MSIL2A_20200620T102031_N0214_R065_T32UPC_2...</td>\n",
       "      <td>bb229b94-a038-4803-bb87-a1486696353d</td>\n",
       "      <td>MULTIPOLYGON (((12.01125 51.32452, 12.07776 52...</td>\n",
       "      <td>T32UPC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f6e7a49f-c3e3-4f26-93a8-1d2a067866c6</th>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UUV_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-25T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 22:32:47.479</td>\n",
       "      <td>17251</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200625T101559_017251_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T33UUV_2...</td>\n",
       "      <td>f6e7a49f-c3e3-4f26-93a8-1d2a067866c6</td>\n",
       "      <td>MULTIPOLYGON (((12.01091 53.12365, 13.65112 53...</td>\n",
       "      <td>T33UUV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>e712440f-e364-4bdf-832b-d74982f121b3</th>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T32UQE_2...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
       "      <td>Date: 2020-06-25T10:15:59.024Z, Instrument: MS...</td>\n",
       "      <td>false</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 10:15:59.024</td>\n",
       "      <td>2020-06-25 22:32:30.258</td>\n",
       "      <td>17251</td>\n",
       "      <td>...</td>\n",
       "      <td>GS2B_20200625T101559_017251_N02.14</td>\n",
       "      <td>S2MSI2A</td>\n",
       "      <td>2017-013A</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>Sentinel-2B</td>\n",
       "      <td>Level-2A</td>\n",
       "      <td>S2B_MSIL2A_20200625T101559_N0214_R065_T32UQE_2...</td>\n",
       "      <td>e712440f-e364-4bdf-832b-d74982f121b3</td>\n",
       "      <td>MULTIPOLYGON (((13.62469 53.07126, 13.73349 54...</td>\n",
       "      <td>T32UQE</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>41 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                  title  \\\n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94  S2A_MSIL2A_20200623T103031_N0214_R108_T33UUU_2...   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7  S2A_MSIL2A_20200623T103031_N0214_R108_T32UQD_2...   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73  S2A_MSIL2A_20200623T103031_N0214_R108_T32UPD_2...   \n",
       "feb890a1-b3b1-41e8-8c61-283ab92d0f8b  S2A_MSIL2A_20200623T103031_N0214_R108_T32UQE_2...   \n",
       "26d5cf3d-e238-4ecb-a60f-89a74f08c291  S2A_MSIL2A_20200623T103031_N0214_R108_T33UUV_2...   \n",
       "ae2ff382-160d-449c-8856-d450fe861207  S2A_MSIL2A_20200623T103031_N0214_R108_T32UPE_2...   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3  S2B_MSIL2A_20200615T101559_N0214_R065_T33UUU_2...   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817  S2A_MSIL2A_20200617T101031_N0214_R022_T33UVV_2...   \n",
       "dcd0ca96-811c-4c6b-b387-43ae712e65f0  S2A_MSIL2A_20200627T101031_N0214_R022_T32UQD_2...   \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36  S2A_MSIL2A_20200627T101031_N0214_R022_T33UUU_2...   \n",
       "f23f248d-014b-484f-bd8e-40ca23d86e9f  S2B_MSIL2A_20200615T101559_N0214_R065_T33UVV_2...   \n",
       "333f9a2b-145a-450f-97e7-629ad0c9bd07  S2B_MSIL2A_20200622T100559_N0214_R022_T33UVU_2...   \n",
       "9660b897-8a74-46ae-87f7-cb73dd5b718c  S2B_MSIL2A_20200622T100559_N0214_R022_T33UVT_2...   \n",
       "5c6ef9e1-8828-4d6d-8df4-7274e3b10e14  S2A_MSIL2A_20200630T102031_N0214_R065_T33UVS_2...   \n",
       "24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6  S2B_MSIL2A_20200622T100559_N0214_R022_T33UVS_2...   \n",
       "a9d28ab1-4245-41a3-9491-303bd7414628  S2A_MSIL2A_20200627T101031_N0214_R022_T33UUS_2...   \n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1  S2A_MSIL2A_20200630T102031_N0214_R065_T33UUS_2...   \n",
       "92afe58b-2b21-4518-9684-d70384225ff2  S2A_MSIL2A_20200627T101031_N0214_R022_T32UQC_2...   \n",
       "e815c1e9-f708-4363-9f39-32a54db24285  S2A_MSIL2A_20200627T101031_N0214_R022_T33UUT_2...   \n",
       "520f1839-a2d3-480e-bacb-3509210dbf55  S2B_MSIL2A_20200625T101559_N0214_R065_T32UPE_2...   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65  S2A_MSIL2A_20200630T102031_N0214_R065_T33UVT_2...   \n",
       "f1e2f2d4-2326-4941-80f1-0d36757a86ac  S2A_MSIL2A_20200617T101031_N0214_R022_T32UQE_2...   \n",
       "07388c80-e0f5-4bf0-b2fc-a438495f40ed  S2A_MSIL2A_20200617T101031_N0214_R022_T33UUV_2...   \n",
       "0c003a15-58d6-4415-8077-f868cbc39ce9  S2B_MSIL2A_20200622T100559_N0214_R022_T32UQD_2...   \n",
       "6361db44-8ba8-472b-aaf6-a1df7c49aee0  S2B_MSIL2A_20200625T101559_N0214_R065_T33UVS_2...   \n",
       "825d1b8e-0255-4322-b498-aab182840180  S2B_MSIL2A_20200622T100559_N0214_R022_T33UUU_2...   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676  S2A_MSIL2A_20200627T101031_N0214_R022_T32UQE_2...   \n",
       "9387c7f1-fa0f-4ce1-9a93-b65992447380  S2A_MSIL2A_20200627T101031_N0214_R022_T33UUV_2...   \n",
       "1e36f0ba-85a9-4015-8e2a-922080a69a5f  S2B_MSIL2A_20200625T101559_N0214_R065_T33UVT_2...   \n",
       "f1cb4919-58a0-4001-932e-573cb847800a  S2B_MSIL2A_20200622T100559_N0214_R022_T33UUT_2...   \n",
       "4c941426-e910-49ca-8106-4efe8e945021  S2B_MSIL2A_20200622T100559_N0214_R022_T32UQC_2...   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea  S2A_MSIL2A_20200617T101031_N0214_R022_T32UQD_2...   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339  S2A_MSIL2A_20200617T101031_N0214_R022_T33UUU_2...   \n",
       "10d92f80-60fe-498d-b407-6c059b6ab077  S2B_MSIL2A_20200625T101559_N0214_R065_T33UUT_2...   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8  S2B_MSIL2A_20200625T101559_N0214_R065_T33UUS_2...   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac  S2B_MSIL2A_20200622T100559_N0214_R022_T32UQE_2...   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd  S2B_MSIL2A_20200625T101559_N0214_R065_T32UQC_2...   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e  S2B_MSIL2A_20200622T100559_N0214_R022_T33UUV_2...   \n",
       "bb229b94-a038-4803-bb87-a1486696353d  S2A_MSIL2A_20200620T102031_N0214_R065_T32UPC_2...   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6  S2B_MSIL2A_20200625T101559_N0214_R065_T33UUV_2...   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3  S2B_MSIL2A_20200625T101559_N0214_R065_T32UQE_2...   \n",
       "\n",
       "                                                                                   link  \\\n",
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       "\n",
       "                                                                       link_alternative  \\\n",
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       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "\n",
       "                                                                              link_icon  \\\n",
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       "b64d4450-d999-41dc-9ecb-6d263f322dd3  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "dcd0ca96-811c-4c6b-b387-43ae712e65f0  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
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       "e815c1e9-f708-4363-9f39-32a54db24285  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "520f1839-a2d3-480e-bacb-3509210dbf55  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "f1e2f2d4-2326-4941-80f1-0d36757a86ac  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "07388c80-e0f5-4bf0-b2fc-a438495f40ed  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "0c003a15-58d6-4415-8077-f868cbc39ce9  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "6361db44-8ba8-472b-aaf6-a1df7c49aee0  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "825d1b8e-0255-4322-b498-aab182840180  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "9387c7f1-fa0f-4ce1-9a93-b65992447380  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "1e36f0ba-85a9-4015-8e2a-922080a69a5f  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "f1cb4919-58a0-4001-932e-573cb847800a  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "4c941426-e910-49ca-8106-4efe8e945021  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "10d92f80-60fe-498d-b407-6c059b6ab077  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "bb229b94-a038-4803-bb87-a1486696353d  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
       "\n",
       "                                                                                summary  \\\n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94  Date: 2020-06-23T10:30:31.024Z, Instrument: MS...   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7  Date: 2020-06-23T10:30:31.024Z, Instrument: MS...   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73  Date: 2020-06-23T10:30:31.024Z, Instrument: MS...   \n",
       "feb890a1-b3b1-41e8-8c61-283ab92d0f8b  Date: 2020-06-23T10:30:31.024Z, Instrument: MS...   \n",
       "26d5cf3d-e238-4ecb-a60f-89a74f08c291  Date: 2020-06-23T10:30:31.024Z, Instrument: MS...   \n",
       "ae2ff382-160d-449c-8856-d450fe861207  Date: 2020-06-23T10:30:31.024Z, Instrument: MS...   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3  Date: 2020-06-15T10:15:59.024Z, Instrument: MS...   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817  Date: 2020-06-17T10:10:31.024Z, Instrument: MS...   \n",
       "dcd0ca96-811c-4c6b-b387-43ae712e65f0  Date: 2020-06-27T10:10:31.024Z, Instrument: MS...   \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36  Date: 2020-06-27T10:10:31.024Z, Instrument: MS...   \n",
       "f23f248d-014b-484f-bd8e-40ca23d86e9f  Date: 2020-06-15T10:15:59.024Z, Instrument: MS...   \n",
       "333f9a2b-145a-450f-97e7-629ad0c9bd07  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "9660b897-8a74-46ae-87f7-cb73dd5b718c  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "5c6ef9e1-8828-4d6d-8df4-7274e3b10e14  Date: 2020-06-30T10:20:31.024Z, Instrument: MS...   \n",
       "24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "a9d28ab1-4245-41a3-9491-303bd7414628  Date: 2020-06-27T10:10:31.024Z, Instrument: MS...   \n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1  Date: 2020-06-30T10:20:31.024Z, Instrument: MS...   \n",
       "92afe58b-2b21-4518-9684-d70384225ff2  Date: 2020-06-27T10:10:31.024Z, Instrument: MS...   \n",
       "e815c1e9-f708-4363-9f39-32a54db24285  Date: 2020-06-27T10:10:31.024Z, Instrument: MS...   \n",
       "520f1839-a2d3-480e-bacb-3509210dbf55  Date: 2020-06-25T10:15:59.024Z, Instrument: MS...   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65  Date: 2020-06-30T10:20:31.024Z, Instrument: MS...   \n",
       "f1e2f2d4-2326-4941-80f1-0d36757a86ac  Date: 2020-06-17T10:10:31.024Z, Instrument: MS...   \n",
       "07388c80-e0f5-4bf0-b2fc-a438495f40ed  Date: 2020-06-17T10:10:31.024Z, Instrument: MS...   \n",
       "0c003a15-58d6-4415-8077-f868cbc39ce9  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "6361db44-8ba8-472b-aaf6-a1df7c49aee0  Date: 2020-06-25T10:15:59.024Z, Instrument: MS...   \n",
       "825d1b8e-0255-4322-b498-aab182840180  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676  Date: 2020-06-27T10:10:31.024Z, Instrument: MS...   \n",
       "9387c7f1-fa0f-4ce1-9a93-b65992447380  Date: 2020-06-27T10:10:31.024Z, Instrument: MS...   \n",
       "1e36f0ba-85a9-4015-8e2a-922080a69a5f  Date: 2020-06-25T10:15:59.024Z, Instrument: MS...   \n",
       "f1cb4919-58a0-4001-932e-573cb847800a  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "4c941426-e910-49ca-8106-4efe8e945021  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea  Date: 2020-06-17T10:10:31.024Z, Instrument: MS...   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339  Date: 2020-06-17T10:10:31.024Z, Instrument: MS...   \n",
       "10d92f80-60fe-498d-b407-6c059b6ab077  Date: 2020-06-25T10:15:59.024Z, Instrument: MS...   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8  Date: 2020-06-25T10:15:59.024Z, Instrument: MS...   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd  Date: 2020-06-25T10:15:59.024Z, Instrument: MS...   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e  Date: 2020-06-22T10:05:59.024Z, Instrument: MS...   \n",
       "bb229b94-a038-4803-bb87-a1486696353d  Date: 2020-06-20T10:20:31.024Z, Instrument: MS...   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6  Date: 2020-06-25T10:15:59.024Z, Instrument: MS...   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3  Date: 2020-06-25T10:15:59.024Z, Instrument: MS...   \n",
       "\n",
       "                                     ondemand           beginposition  \\\n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94    false 2020-06-23 10:30:31.024   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7    false 2020-06-23 10:30:31.024   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73    false 2020-06-23 10:30:31.024   \n",
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       "26d5cf3d-e238-4ecb-a60f-89a74f08c291    false 2020-06-23 10:30:31.024   \n",
       "ae2ff382-160d-449c-8856-d450fe861207    false 2020-06-23 10:30:31.024   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3    false 2020-06-15 10:15:59.024   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817    false 2020-06-17 10:10:31.024   \n",
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       "9660b897-8a74-46ae-87f7-cb73dd5b718c    false 2020-06-22 10:05:59.024   \n",
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       "d692a650-1806-4e9b-88d1-e824f976c3ea    false 2020-06-17 10:10:31.024   \n",
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       "10d92f80-60fe-498d-b407-6c059b6ab077    false 2020-06-25 10:15:59.024   \n",
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       "e712440f-e364-4bdf-832b-d74982f121b3    false 2020-06-25 10:15:59.024   \n",
       "\n",
       "                                                 endposition  \\\n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94 2020-06-23 10:30:31.024   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7 2020-06-23 10:30:31.024   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73 2020-06-23 10:30:31.024   \n",
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       "8ff98302-bc88-4fb4-9f53-c6959af6fa36 2020-06-27 10:10:31.024   \n",
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       "333f9a2b-145a-450f-97e7-629ad0c9bd07 2020-06-22 10:05:59.024   \n",
       "9660b897-8a74-46ae-87f7-cb73dd5b718c 2020-06-22 10:05:59.024   \n",
       "5c6ef9e1-8828-4d6d-8df4-7274e3b10e14 2020-06-30 10:20:31.024   \n",
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       "a9d28ab1-4245-41a3-9491-303bd7414628 2020-06-27 10:10:31.024   \n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1 2020-06-30 10:20:31.024   \n",
       "92afe58b-2b21-4518-9684-d70384225ff2 2020-06-27 10:10:31.024   \n",
       "e815c1e9-f708-4363-9f39-32a54db24285 2020-06-27 10:10:31.024   \n",
       "520f1839-a2d3-480e-bacb-3509210dbf55 2020-06-25 10:15:59.024   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65 2020-06-30 10:20:31.024   \n",
       "f1e2f2d4-2326-4941-80f1-0d36757a86ac 2020-06-17 10:10:31.024   \n",
       "07388c80-e0f5-4bf0-b2fc-a438495f40ed 2020-06-17 10:10:31.024   \n",
       "0c003a15-58d6-4415-8077-f868cbc39ce9 2020-06-22 10:05:59.024   \n",
       "6361db44-8ba8-472b-aaf6-a1df7c49aee0 2020-06-25 10:15:59.024   \n",
       "825d1b8e-0255-4322-b498-aab182840180 2020-06-22 10:05:59.024   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676 2020-06-27 10:10:31.024   \n",
       "9387c7f1-fa0f-4ce1-9a93-b65992447380 2020-06-27 10:10:31.024   \n",
       "1e36f0ba-85a9-4015-8e2a-922080a69a5f 2020-06-25 10:15:59.024   \n",
       "f1cb4919-58a0-4001-932e-573cb847800a 2020-06-22 10:05:59.024   \n",
       "4c941426-e910-49ca-8106-4efe8e945021 2020-06-22 10:05:59.024   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea 2020-06-17 10:10:31.024   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339 2020-06-17 10:10:31.024   \n",
       "10d92f80-60fe-498d-b407-6c059b6ab077 2020-06-25 10:15:59.024   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8 2020-06-25 10:15:59.024   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac 2020-06-22 10:05:59.024   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd 2020-06-25 10:15:59.024   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e 2020-06-22 10:05:59.024   \n",
       "bb229b94-a038-4803-bb87-a1486696353d 2020-06-20 10:20:31.024   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6 2020-06-25 10:15:59.024   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3 2020-06-25 10:15:59.024   \n",
       "\n",
       "                                               ingestiondate  orbitnumber  \\\n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94 2020-06-23 21:04:38.113        26131   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7 2020-06-23 21:03:10.949        26131   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73 2020-06-23 21:03:53.468        26131   \n",
       "feb890a1-b3b1-41e8-8c61-283ab92d0f8b 2020-06-23 21:03:20.540        26131   \n",
       "26d5cf3d-e238-4ecb-a60f-89a74f08c291 2020-06-23 21:04:56.168        26131   \n",
       "ae2ff382-160d-449c-8856-d450fe861207 2020-06-23 21:03:56.690        26131   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3 2020-06-16 01:21:09.378        17108   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817 2020-06-17 21:36:52.948        26045   \n",
       "dcd0ca96-811c-4c6b-b387-43ae712e65f0 2020-06-27 17:56:00.953        26188   \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36 2020-06-27 18:14:53.910        26188   \n",
       "f23f248d-014b-484f-bd8e-40ca23d86e9f 2020-06-16 01:22:45.373        17108   \n",
       "333f9a2b-145a-450f-97e7-629ad0c9bd07 2020-06-22 20:23:27.706        17208   \n",
       "9660b897-8a74-46ae-87f7-cb73dd5b718c 2020-06-22 20:19:36.135        17208   \n",
       "5c6ef9e1-8828-4d6d-8df4-7274e3b10e14 2020-06-30 21:10:52.180        26231   \n",
       "24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6 2020-06-22 20:19:31.758        17208   \n",
       "a9d28ab1-4245-41a3-9491-303bd7414628 2020-06-27 17:56:03.083        26188   \n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1 2020-06-30 21:25:45.202        26231   \n",
       "92afe58b-2b21-4518-9684-d70384225ff2 2020-06-27 17:56:21.341        26188   \n",
       "e815c1e9-f708-4363-9f39-32a54db24285 2020-06-27 18:09:51.748        26188   \n",
       "520f1839-a2d3-480e-bacb-3509210dbf55 2020-06-25 22:59:53.896        17251   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65 2020-06-30 21:25:20.244        26231   \n",
       "f1e2f2d4-2326-4941-80f1-0d36757a86ac 2020-06-17 21:31:43.502        26045   \n",
       "07388c80-e0f5-4bf0-b2fc-a438495f40ed 2020-06-17 21:36:21.158        26045   \n",
       "0c003a15-58d6-4415-8077-f868cbc39ce9 2020-06-22 19:53:18.945        17208   \n",
       "6361db44-8ba8-472b-aaf6-a1df7c49aee0 2020-06-25 22:31:21.087        17251   \n",
       "825d1b8e-0255-4322-b498-aab182840180 2020-06-22 19:55:22.656        17208   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676 2020-06-27 18:01:04.210        26188   \n",
       "9387c7f1-fa0f-4ce1-9a93-b65992447380 2020-06-27 18:00:08.585        26188   \n",
       "1e36f0ba-85a9-4015-8e2a-922080a69a5f 2020-06-25 22:31:34.620        17251   \n",
       "f1cb4919-58a0-4001-932e-573cb847800a 2020-06-22 19:55:49.360        17208   \n",
       "4c941426-e910-49ca-8106-4efe8e945021 2020-06-22 19:53:25.329        17208   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea 2020-06-17 21:36:05.667        26045   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339 2020-06-17 21:35:56.836        26045   \n",
       "10d92f80-60fe-498d-b407-6c059b6ab077 2020-06-25 23:02:08.620        17251   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8 2020-06-25 22:32:41.711        17251   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac 2020-06-22 19:52:49.723        17208   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd 2020-06-25 22:32:47.106        17251   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e 2020-06-22 20:19:10.187        17208   \n",
       "bb229b94-a038-4803-bb87-a1486696353d 2020-06-20 19:29:41.638        26088   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6 2020-06-25 22:32:47.479        17251   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3 2020-06-25 22:32:30.258        17251   \n",
       "\n",
       "                                      ...                        s2datatakeid  \\\n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94  ...  GS2A_20200623T103031_026131_N02.14   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7  ...  GS2A_20200623T103031_026131_N02.14   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73  ...  GS2A_20200623T103031_026131_N02.14   \n",
       "feb890a1-b3b1-41e8-8c61-283ab92d0f8b  ...  GS2A_20200623T103031_026131_N02.14   \n",
       "26d5cf3d-e238-4ecb-a60f-89a74f08c291  ...  GS2A_20200623T103031_026131_N02.14   \n",
       "ae2ff382-160d-449c-8856-d450fe861207  ...  GS2A_20200623T103031_026131_N02.14   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3  ...  GS2B_20200615T101559_017108_N02.14   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817  ...  GS2A_20200617T101031_026045_N02.14   \n",
       "dcd0ca96-811c-4c6b-b387-43ae712e65f0  ...  GS2A_20200627T101031_026188_N02.14   \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36  ...  GS2A_20200627T101031_026188_N02.14   \n",
       "f23f248d-014b-484f-bd8e-40ca23d86e9f  ...  GS2B_20200615T101559_017108_N02.14   \n",
       "333f9a2b-145a-450f-97e7-629ad0c9bd07  ...  GS2B_20200622T100559_017208_N02.14   \n",
       "9660b897-8a74-46ae-87f7-cb73dd5b718c  ...  GS2B_20200622T100559_017208_N02.14   \n",
       "5c6ef9e1-8828-4d6d-8df4-7274e3b10e14  ...  GS2A_20200630T102031_026231_N02.14   \n",
       "24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6  ...  GS2B_20200622T100559_017208_N02.14   \n",
       "a9d28ab1-4245-41a3-9491-303bd7414628  ...  GS2A_20200627T101031_026188_N02.14   \n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1  ...  GS2A_20200630T102031_026231_N02.14   \n",
       "92afe58b-2b21-4518-9684-d70384225ff2  ...  GS2A_20200627T101031_026188_N02.14   \n",
       "e815c1e9-f708-4363-9f39-32a54db24285  ...  GS2A_20200627T101031_026188_N02.14   \n",
       "520f1839-a2d3-480e-bacb-3509210dbf55  ...  GS2B_20200625T101559_017251_N02.14   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65  ...  GS2A_20200630T102031_026231_N02.14   \n",
       "f1e2f2d4-2326-4941-80f1-0d36757a86ac  ...  GS2A_20200617T101031_026045_N02.14   \n",
       "07388c80-e0f5-4bf0-b2fc-a438495f40ed  ...  GS2A_20200617T101031_026045_N02.14   \n",
       "0c003a15-58d6-4415-8077-f868cbc39ce9  ...  GS2B_20200622T100559_017208_N02.14   \n",
       "6361db44-8ba8-472b-aaf6-a1df7c49aee0  ...  GS2B_20200625T101559_017251_N02.14   \n",
       "825d1b8e-0255-4322-b498-aab182840180  ...  GS2B_20200622T100559_017208_N02.14   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676  ...  GS2A_20200627T101031_026188_N02.14   \n",
       "9387c7f1-fa0f-4ce1-9a93-b65992447380  ...  GS2A_20200627T101031_026188_N02.14   \n",
       "1e36f0ba-85a9-4015-8e2a-922080a69a5f  ...  GS2B_20200625T101559_017251_N02.14   \n",
       "f1cb4919-58a0-4001-932e-573cb847800a  ...  GS2B_20200622T100559_017208_N02.14   \n",
       "4c941426-e910-49ca-8106-4efe8e945021  ...  GS2B_20200622T100559_017208_N02.14   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea  ...  GS2A_20200617T101031_026045_N02.14   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339  ...  GS2A_20200617T101031_026045_N02.14   \n",
       "10d92f80-60fe-498d-b407-6c059b6ab077  ...  GS2B_20200625T101559_017251_N02.14   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8  ...  GS2B_20200625T101559_017251_N02.14   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac  ...  GS2B_20200622T100559_017208_N02.14   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd  ...  GS2B_20200625T101559_017251_N02.14   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e  ...  GS2B_20200622T100559_017208_N02.14   \n",
       "bb229b94-a038-4803-bb87-a1486696353d  ...  GS2A_20200620T102031_026088_N02.14   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6  ...  GS2B_20200625T101559_017251_N02.14   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3  ...  GS2B_20200625T101559_017251_N02.14   \n",
       "\n",
       "                                      producttype  platformidentifier  \\\n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94      S2MSI2A           2015-028A   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7      S2MSI2A           2015-028A   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73      S2MSI2A           2015-028A   \n",
       "feb890a1-b3b1-41e8-8c61-283ab92d0f8b      S2MSI2A           2015-028A   \n",
       "26d5cf3d-e238-4ecb-a60f-89a74f08c291      S2MSI2A           2015-028A   \n",
       "ae2ff382-160d-449c-8856-d450fe861207      S2MSI2A           2015-028A   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3      S2MSI2A           2017-013A   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817      S2MSI2A           2015-028A   \n",
       "dcd0ca96-811c-4c6b-b387-43ae712e65f0      S2MSI2A           2015-028A   \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36      S2MSI2A           2015-028A   \n",
       "f23f248d-014b-484f-bd8e-40ca23d86e9f      S2MSI2A           2017-013A   \n",
       "333f9a2b-145a-450f-97e7-629ad0c9bd07      S2MSI2A           2017-013A   \n",
       "9660b897-8a74-46ae-87f7-cb73dd5b718c      S2MSI2A           2017-013A   \n",
       "5c6ef9e1-8828-4d6d-8df4-7274e3b10e14      S2MSI2A           2015-028A   \n",
       "24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6      S2MSI2A           2017-013A   \n",
       "a9d28ab1-4245-41a3-9491-303bd7414628      S2MSI2A           2015-028A   \n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1      S2MSI2A           2015-028A   \n",
       "92afe58b-2b21-4518-9684-d70384225ff2      S2MSI2A           2015-028A   \n",
       "e815c1e9-f708-4363-9f39-32a54db24285      S2MSI2A           2015-028A   \n",
       "520f1839-a2d3-480e-bacb-3509210dbf55      S2MSI2A           2017-013A   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65      S2MSI2A           2015-028A   \n",
       "f1e2f2d4-2326-4941-80f1-0d36757a86ac      S2MSI2A           2015-028A   \n",
       "07388c80-e0f5-4bf0-b2fc-a438495f40ed      S2MSI2A           2015-028A   \n",
       "0c003a15-58d6-4415-8077-f868cbc39ce9      S2MSI2A           2017-013A   \n",
       "6361db44-8ba8-472b-aaf6-a1df7c49aee0      S2MSI2A           2017-013A   \n",
       "825d1b8e-0255-4322-b498-aab182840180      S2MSI2A           2017-013A   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676      S2MSI2A           2015-028A   \n",
       "9387c7f1-fa0f-4ce1-9a93-b65992447380      S2MSI2A           2015-028A   \n",
       "1e36f0ba-85a9-4015-8e2a-922080a69a5f      S2MSI2A           2017-013A   \n",
       "f1cb4919-58a0-4001-932e-573cb847800a      S2MSI2A           2017-013A   \n",
       "4c941426-e910-49ca-8106-4efe8e945021      S2MSI2A           2017-013A   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea      S2MSI2A           2015-028A   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339      S2MSI2A           2015-028A   \n",
       "10d92f80-60fe-498d-b407-6c059b6ab077      S2MSI2A           2017-013A   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8      S2MSI2A           2017-013A   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac      S2MSI2A           2017-013A   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd      S2MSI2A           2017-013A   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e      S2MSI2A           2017-013A   \n",
       "bb229b94-a038-4803-bb87-a1486696353d      S2MSI2A           2015-028A   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6      S2MSI2A           2017-013A   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3      S2MSI2A           2017-013A   \n",
       "\n",
       "                                      orbitdirection  \\\n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94      DESCENDING   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7      DESCENDING   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73      DESCENDING   \n",
       "feb890a1-b3b1-41e8-8c61-283ab92d0f8b      DESCENDING   \n",
       "26d5cf3d-e238-4ecb-a60f-89a74f08c291      DESCENDING   \n",
       "ae2ff382-160d-449c-8856-d450fe861207      DESCENDING   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3      DESCENDING   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817      DESCENDING   \n",
       "dcd0ca96-811c-4c6b-b387-43ae712e65f0      DESCENDING   \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36      DESCENDING   \n",
       "f23f248d-014b-484f-bd8e-40ca23d86e9f      DESCENDING   \n",
       "333f9a2b-145a-450f-97e7-629ad0c9bd07      DESCENDING   \n",
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       "a9d28ab1-4245-41a3-9491-303bd7414628      DESCENDING   \n",
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       "92afe58b-2b21-4518-9684-d70384225ff2      DESCENDING   \n",
       "e815c1e9-f708-4363-9f39-32a54db24285      DESCENDING   \n",
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       "825d1b8e-0255-4322-b498-aab182840180      DESCENDING   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676      DESCENDING   \n",
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       "4c941426-e910-49ca-8106-4efe8e945021      DESCENDING   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea      DESCENDING   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339      DESCENDING   \n",
       "10d92f80-60fe-498d-b407-6c059b6ab077      DESCENDING   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8      DESCENDING   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac      DESCENDING   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd      DESCENDING   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e      DESCENDING   \n",
       "bb229b94-a038-4803-bb87-a1486696353d      DESCENDING   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6      DESCENDING   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3      DESCENDING   \n",
       "\n",
       "                                      platformserialidentifier  \\\n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94               Sentinel-2A   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7               Sentinel-2A   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73               Sentinel-2A   \n",
       "feb890a1-b3b1-41e8-8c61-283ab92d0f8b               Sentinel-2A   \n",
       "26d5cf3d-e238-4ecb-a60f-89a74f08c291               Sentinel-2A   \n",
       "ae2ff382-160d-449c-8856-d450fe861207               Sentinel-2A   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3               Sentinel-2B   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817               Sentinel-2A   \n",
       "dcd0ca96-811c-4c6b-b387-43ae712e65f0               Sentinel-2A   \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36               Sentinel-2A   \n",
       "f23f248d-014b-484f-bd8e-40ca23d86e9f               Sentinel-2B   \n",
       "333f9a2b-145a-450f-97e7-629ad0c9bd07               Sentinel-2B   \n",
       "9660b897-8a74-46ae-87f7-cb73dd5b718c               Sentinel-2B   \n",
       "5c6ef9e1-8828-4d6d-8df4-7274e3b10e14               Sentinel-2A   \n",
       "24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6               Sentinel-2B   \n",
       "a9d28ab1-4245-41a3-9491-303bd7414628               Sentinel-2A   \n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1               Sentinel-2A   \n",
       "92afe58b-2b21-4518-9684-d70384225ff2               Sentinel-2A   \n",
       "e815c1e9-f708-4363-9f39-32a54db24285               Sentinel-2A   \n",
       "520f1839-a2d3-480e-bacb-3509210dbf55               Sentinel-2B   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65               Sentinel-2A   \n",
       "f1e2f2d4-2326-4941-80f1-0d36757a86ac               Sentinel-2A   \n",
       "07388c80-e0f5-4bf0-b2fc-a438495f40ed               Sentinel-2A   \n",
       "0c003a15-58d6-4415-8077-f868cbc39ce9               Sentinel-2B   \n",
       "6361db44-8ba8-472b-aaf6-a1df7c49aee0               Sentinel-2B   \n",
       "825d1b8e-0255-4322-b498-aab182840180               Sentinel-2B   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676               Sentinel-2A   \n",
       "9387c7f1-fa0f-4ce1-9a93-b65992447380               Sentinel-2A   \n",
       "1e36f0ba-85a9-4015-8e2a-922080a69a5f               Sentinel-2B   \n",
       "f1cb4919-58a0-4001-932e-573cb847800a               Sentinel-2B   \n",
       "4c941426-e910-49ca-8106-4efe8e945021               Sentinel-2B   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea               Sentinel-2A   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339               Sentinel-2A   \n",
       "10d92f80-60fe-498d-b407-6c059b6ab077               Sentinel-2B   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8               Sentinel-2B   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac               Sentinel-2B   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd               Sentinel-2B   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e               Sentinel-2B   \n",
       "bb229b94-a038-4803-bb87-a1486696353d               Sentinel-2A   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6               Sentinel-2B   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3               Sentinel-2B   \n",
       "\n",
       "                                      processinglevel  \\\n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94         Level-2A   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7         Level-2A   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73         Level-2A   \n",
       "feb890a1-b3b1-41e8-8c61-283ab92d0f8b         Level-2A   \n",
       "26d5cf3d-e238-4ecb-a60f-89a74f08c291         Level-2A   \n",
       "ae2ff382-160d-449c-8856-d450fe861207         Level-2A   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3         Level-2A   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817         Level-2A   \n",
       "dcd0ca96-811c-4c6b-b387-43ae712e65f0         Level-2A   \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36         Level-2A   \n",
       "f23f248d-014b-484f-bd8e-40ca23d86e9f         Level-2A   \n",
       "333f9a2b-145a-450f-97e7-629ad0c9bd07         Level-2A   \n",
       "9660b897-8a74-46ae-87f7-cb73dd5b718c         Level-2A   \n",
       "5c6ef9e1-8828-4d6d-8df4-7274e3b10e14         Level-2A   \n",
       "24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6         Level-2A   \n",
       "a9d28ab1-4245-41a3-9491-303bd7414628         Level-2A   \n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1         Level-2A   \n",
       "92afe58b-2b21-4518-9684-d70384225ff2         Level-2A   \n",
       "e815c1e9-f708-4363-9f39-32a54db24285         Level-2A   \n",
       "520f1839-a2d3-480e-bacb-3509210dbf55         Level-2A   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65         Level-2A   \n",
       "f1e2f2d4-2326-4941-80f1-0d36757a86ac         Level-2A   \n",
       "07388c80-e0f5-4bf0-b2fc-a438495f40ed         Level-2A   \n",
       "0c003a15-58d6-4415-8077-f868cbc39ce9         Level-2A   \n",
       "6361db44-8ba8-472b-aaf6-a1df7c49aee0         Level-2A   \n",
       "825d1b8e-0255-4322-b498-aab182840180         Level-2A   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676         Level-2A   \n",
       "9387c7f1-fa0f-4ce1-9a93-b65992447380         Level-2A   \n",
       "1e36f0ba-85a9-4015-8e2a-922080a69a5f         Level-2A   \n",
       "f1cb4919-58a0-4001-932e-573cb847800a         Level-2A   \n",
       "4c941426-e910-49ca-8106-4efe8e945021         Level-2A   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea         Level-2A   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339         Level-2A   \n",
       "10d92f80-60fe-498d-b407-6c059b6ab077         Level-2A   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8         Level-2A   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac         Level-2A   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd         Level-2A   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e         Level-2A   \n",
       "bb229b94-a038-4803-bb87-a1486696353d         Level-2A   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6         Level-2A   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3         Level-2A   \n",
       "\n",
       "                                                                             identifier  \\\n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94  S2A_MSIL2A_20200623T103031_N0214_R108_T33UUU_2...   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7  S2A_MSIL2A_20200623T103031_N0214_R108_T32UQD_2...   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73  S2A_MSIL2A_20200623T103031_N0214_R108_T32UPD_2...   \n",
       "feb890a1-b3b1-41e8-8c61-283ab92d0f8b  S2A_MSIL2A_20200623T103031_N0214_R108_T32UQE_2...   \n",
       "26d5cf3d-e238-4ecb-a60f-89a74f08c291  S2A_MSIL2A_20200623T103031_N0214_R108_T33UUV_2...   \n",
       "ae2ff382-160d-449c-8856-d450fe861207  S2A_MSIL2A_20200623T103031_N0214_R108_T32UPE_2...   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3  S2B_MSIL2A_20200615T101559_N0214_R065_T33UUU_2...   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817  S2A_MSIL2A_20200617T101031_N0214_R022_T33UVV_2...   \n",
       "dcd0ca96-811c-4c6b-b387-43ae712e65f0  S2A_MSIL2A_20200627T101031_N0214_R022_T32UQD_2...   \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36  S2A_MSIL2A_20200627T101031_N0214_R022_T33UUU_2...   \n",
       "f23f248d-014b-484f-bd8e-40ca23d86e9f  S2B_MSIL2A_20200615T101559_N0214_R065_T33UVV_2...   \n",
       "333f9a2b-145a-450f-97e7-629ad0c9bd07  S2B_MSIL2A_20200622T100559_N0214_R022_T33UVU_2...   \n",
       "9660b897-8a74-46ae-87f7-cb73dd5b718c  S2B_MSIL2A_20200622T100559_N0214_R022_T33UVT_2...   \n",
       "5c6ef9e1-8828-4d6d-8df4-7274e3b10e14  S2A_MSIL2A_20200630T102031_N0214_R065_T33UVS_2...   \n",
       "24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6  S2B_MSIL2A_20200622T100559_N0214_R022_T33UVS_2...   \n",
       "a9d28ab1-4245-41a3-9491-303bd7414628  S2A_MSIL2A_20200627T101031_N0214_R022_T33UUS_2...   \n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1  S2A_MSIL2A_20200630T102031_N0214_R065_T33UUS_2...   \n",
       "92afe58b-2b21-4518-9684-d70384225ff2  S2A_MSIL2A_20200627T101031_N0214_R022_T32UQC_2...   \n",
       "e815c1e9-f708-4363-9f39-32a54db24285  S2A_MSIL2A_20200627T101031_N0214_R022_T33UUT_2...   \n",
       "520f1839-a2d3-480e-bacb-3509210dbf55  S2B_MSIL2A_20200625T101559_N0214_R065_T32UPE_2...   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65  S2A_MSIL2A_20200630T102031_N0214_R065_T33UVT_2...   \n",
       "f1e2f2d4-2326-4941-80f1-0d36757a86ac  S2A_MSIL2A_20200617T101031_N0214_R022_T32UQE_2...   \n",
       "07388c80-e0f5-4bf0-b2fc-a438495f40ed  S2A_MSIL2A_20200617T101031_N0214_R022_T33UUV_2...   \n",
       "0c003a15-58d6-4415-8077-f868cbc39ce9  S2B_MSIL2A_20200622T100559_N0214_R022_T32UQD_2...   \n",
       "6361db44-8ba8-472b-aaf6-a1df7c49aee0  S2B_MSIL2A_20200625T101559_N0214_R065_T33UVS_2...   \n",
       "825d1b8e-0255-4322-b498-aab182840180  S2B_MSIL2A_20200622T100559_N0214_R022_T33UUU_2...   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676  S2A_MSIL2A_20200627T101031_N0214_R022_T32UQE_2...   \n",
       "9387c7f1-fa0f-4ce1-9a93-b65992447380  S2A_MSIL2A_20200627T101031_N0214_R022_T33UUV_2...   \n",
       "1e36f0ba-85a9-4015-8e2a-922080a69a5f  S2B_MSIL2A_20200625T101559_N0214_R065_T33UVT_2...   \n",
       "f1cb4919-58a0-4001-932e-573cb847800a  S2B_MSIL2A_20200622T100559_N0214_R022_T33UUT_2...   \n",
       "4c941426-e910-49ca-8106-4efe8e945021  S2B_MSIL2A_20200622T100559_N0214_R022_T32UQC_2...   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea  S2A_MSIL2A_20200617T101031_N0214_R022_T32UQD_2...   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339  S2A_MSIL2A_20200617T101031_N0214_R022_T33UUU_2...   \n",
       "10d92f80-60fe-498d-b407-6c059b6ab077  S2B_MSIL2A_20200625T101559_N0214_R065_T33UUT_2...   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8  S2B_MSIL2A_20200625T101559_N0214_R065_T33UUS_2...   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac  S2B_MSIL2A_20200622T100559_N0214_R022_T32UQE_2...   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd  S2B_MSIL2A_20200625T101559_N0214_R065_T32UQC_2...   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e  S2B_MSIL2A_20200622T100559_N0214_R022_T33UUV_2...   \n",
       "bb229b94-a038-4803-bb87-a1486696353d  S2A_MSIL2A_20200620T102031_N0214_R065_T32UPC_2...   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6  S2B_MSIL2A_20200625T101559_N0214_R065_T33UUV_2...   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3  S2B_MSIL2A_20200625T101559_N0214_R065_T32UQE_2...   \n",
       "\n",
       "                                                                      uuid  \\\n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94  4c841fe7-7fa2-4d1e-9893-962dc4301a94   \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7  93e7901a-94cb-41d2-b23f-780f2a6061a7   \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73  52c652ac-186f-4fd5-ba3d-e937299f7f73   \n",
       "feb890a1-b3b1-41e8-8c61-283ab92d0f8b  feb890a1-b3b1-41e8-8c61-283ab92d0f8b   \n",
       "26d5cf3d-e238-4ecb-a60f-89a74f08c291  26d5cf3d-e238-4ecb-a60f-89a74f08c291   \n",
       "ae2ff382-160d-449c-8856-d450fe861207  ae2ff382-160d-449c-8856-d450fe861207   \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3  b64d4450-d999-41dc-9ecb-6d263f322dd3   \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817  13da546e-c03b-4c5f-91e4-b0f8b7d78817   \n",
       "dcd0ca96-811c-4c6b-b387-43ae712e65f0  dcd0ca96-811c-4c6b-b387-43ae712e65f0   \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36  8ff98302-bc88-4fb4-9f53-c6959af6fa36   \n",
       "f23f248d-014b-484f-bd8e-40ca23d86e9f  f23f248d-014b-484f-bd8e-40ca23d86e9f   \n",
       "333f9a2b-145a-450f-97e7-629ad0c9bd07  333f9a2b-145a-450f-97e7-629ad0c9bd07   \n",
       "9660b897-8a74-46ae-87f7-cb73dd5b718c  9660b897-8a74-46ae-87f7-cb73dd5b718c   \n",
       "5c6ef9e1-8828-4d6d-8df4-7274e3b10e14  5c6ef9e1-8828-4d6d-8df4-7274e3b10e14   \n",
       "24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6  24fb4b41-cd54-4c4e-8dc4-a0f14dea54c6   \n",
       "a9d28ab1-4245-41a3-9491-303bd7414628  a9d28ab1-4245-41a3-9491-303bd7414628   \n",
       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1  eb1fec8e-d933-48c3-99f2-c2b3731dc5a1   \n",
       "92afe58b-2b21-4518-9684-d70384225ff2  92afe58b-2b21-4518-9684-d70384225ff2   \n",
       "e815c1e9-f708-4363-9f39-32a54db24285  e815c1e9-f708-4363-9f39-32a54db24285   \n",
       "520f1839-a2d3-480e-bacb-3509210dbf55  520f1839-a2d3-480e-bacb-3509210dbf55   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65  8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65   \n",
       "f1e2f2d4-2326-4941-80f1-0d36757a86ac  f1e2f2d4-2326-4941-80f1-0d36757a86ac   \n",
       "07388c80-e0f5-4bf0-b2fc-a438495f40ed  07388c80-e0f5-4bf0-b2fc-a438495f40ed   \n",
       "0c003a15-58d6-4415-8077-f868cbc39ce9  0c003a15-58d6-4415-8077-f868cbc39ce9   \n",
       "6361db44-8ba8-472b-aaf6-a1df7c49aee0  6361db44-8ba8-472b-aaf6-a1df7c49aee0   \n",
       "825d1b8e-0255-4322-b498-aab182840180  825d1b8e-0255-4322-b498-aab182840180   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676  a7447c20-7312-4117-8b91-c939f1b80676   \n",
       "9387c7f1-fa0f-4ce1-9a93-b65992447380  9387c7f1-fa0f-4ce1-9a93-b65992447380   \n",
       "1e36f0ba-85a9-4015-8e2a-922080a69a5f  1e36f0ba-85a9-4015-8e2a-922080a69a5f   \n",
       "f1cb4919-58a0-4001-932e-573cb847800a  f1cb4919-58a0-4001-932e-573cb847800a   \n",
       "4c941426-e910-49ca-8106-4efe8e945021  4c941426-e910-49ca-8106-4efe8e945021   \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea  d692a650-1806-4e9b-88d1-e824f976c3ea   \n",
       "958ef7fc-815e-47c6-b323-219de6a91339  958ef7fc-815e-47c6-b323-219de6a91339   \n",
       "10d92f80-60fe-498d-b407-6c059b6ab077  10d92f80-60fe-498d-b407-6c059b6ab077   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8  1168e7e0-1f15-40ab-b910-0f20b6536bf8   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac  55be82cc-1f3a-44d2-bd64-f8d743535fac   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd  0ebace35-7d8e-4564-bec6-f9597525d2fd   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e  c833476b-3fa8-4577-b597-cbc656a9cc8e   \n",
       "bb229b94-a038-4803-bb87-a1486696353d  bb229b94-a038-4803-bb87-a1486696353d   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6  f6e7a49f-c3e3-4f26-93a8-1d2a067866c6   \n",
       "e712440f-e364-4bdf-832b-d74982f121b3  e712440f-e364-4bdf-832b-d74982f121b3   \n",
       "\n",
       "                                                                               geometry  \\\n",
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       "b64d4450-d999-41dc-9ecb-6d263f322dd3  MULTIPOLYGON (((12.07160 52.22621, 13.67854 52...   \n",
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       "520f1839-a2d3-480e-bacb-3509210dbf55  MULTIPOLYGON (((12.13532 53.11988, 12.20926 54...   \n",
       "8c3b2e01-7c8b-43d4-b3e0-1a6a376cdd65  MULTIPOLYGON (((13.56331 51.35443, 13.89039 51...   \n",
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       "6361db44-8ba8-472b-aaf6-a1df7c49aee0  MULTIPOLYGON (((13.58186 50.74516, 13.60377 50...   \n",
       "825d1b8e-0255-4322-b498-aab182840180  MULTIPOLYGON (((12.36045 52.23141, 13.67854 52...   \n",
       "a7447c20-7312-4117-8b91-c939f1b80676  MULTIPOLYGON (((13.62469 53.07126, 13.73349 54...   \n",
       "9387c7f1-fa0f-4ce1-9a93-b65992447380  MULTIPOLYGON (((12.74704 53.13706, 13.65112 53...   \n",
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       "10d92f80-60fe-498d-b407-6c059b6ab077  MULTIPOLYGON (((12.12921 51.32805, 13.70458 51...   \n",
       "1168e7e0-1f15-40ab-b910-0f20b6536bf8  MULTIPOLYGON (((12.18393 50.42971, 13.43645 50...   \n",
       "55be82cc-1f3a-44d2-bd64-f8d743535fac  MULTIPOLYGON (((13.62469 53.07126, 13.73349 54...   \n",
       "0ebace35-7d8e-4564-bec6-f9597525d2fd  MULTIPOLYGON (((13.44210 51.27893, 13.53998 52...   \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e  MULTIPOLYGON (((12.75244 53.13716, 13.65112 53...   \n",
       "bb229b94-a038-4803-bb87-a1486696353d  MULTIPOLYGON (((12.01125 51.32452, 12.07776 52...   \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6  MULTIPOLYGON (((12.01091 53.12365, 13.65112 53...   \n",
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       "\n",
       "                                        tile  \n",
       "4c841fe7-7fa2-4d1e-9893-962dc4301a94  T33UUU  \n",
       "93e7901a-94cb-41d2-b23f-780f2a6061a7  T32UQD  \n",
       "52c652ac-186f-4fd5-ba3d-e937299f7f73  T32UPD  \n",
       "feb890a1-b3b1-41e8-8c61-283ab92d0f8b  T32UQE  \n",
       "26d5cf3d-e238-4ecb-a60f-89a74f08c291  T33UUV  \n",
       "ae2ff382-160d-449c-8856-d450fe861207  T32UPE  \n",
       "b64d4450-d999-41dc-9ecb-6d263f322dd3  T33UUU  \n",
       "13da546e-c03b-4c5f-91e4-b0f8b7d78817  T33UVV  \n",
       "dcd0ca96-811c-4c6b-b387-43ae712e65f0  T32UQD  \n",
       "8ff98302-bc88-4fb4-9f53-c6959af6fa36  T33UUU  \n",
       "f23f248d-014b-484f-bd8e-40ca23d86e9f  T33UVV  \n",
       "333f9a2b-145a-450f-97e7-629ad0c9bd07  T33UVU  \n",
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       "eb1fec8e-d933-48c3-99f2-c2b3731dc5a1  T33UUS  \n",
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       "e815c1e9-f708-4363-9f39-32a54db24285  T33UUT  \n",
       "520f1839-a2d3-480e-bacb-3509210dbf55  T32UPE  \n",
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       "a7447c20-7312-4117-8b91-c939f1b80676  T32UQE  \n",
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       "f1cb4919-58a0-4001-932e-573cb847800a  T33UUT  \n",
       "4c941426-e910-49ca-8106-4efe8e945021  T32UQC  \n",
       "d692a650-1806-4e9b-88d1-e824f976c3ea  T32UQD  \n",
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       "0ebace35-7d8e-4564-bec6-f9597525d2fd  T32UQC  \n",
       "c833476b-3fa8-4577-b597-cbc656a9cc8e  T33UUV  \n",
       "bb229b94-a038-4803-bb87-a1486696353d  T32UPC  \n",
       "f6e7a49f-c3e3-4f26-93a8-1d2a067866c6  T33UUV  \n",
       "e712440f-e364-4bdf-832b-d74982f121b3  T32UQE  \n",
       "\n",
       "[41 rows x 37 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deduplicated = products_in_union.sort_values(by='cloudcoverpercentage').drop_duplicates(subset=['geometry'])\n",
    "deduplicated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "deduplicated['cloudcoverpercentage'].plot.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}