{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Flutungsbeginn war der 12.4.2019. Wir versuchen mit Daten der Sentinel-1- und -2-Satelliten nachzuvollziehen, wie hoch der Wasserstand zum jeweiligen Zeitpunkt war."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting sentinelsat\n",
      "  Using cached https://files.pythonhosted.org/packages/5c/79/c2ac7b71dd13db95a9b83865bbbc7f1e4359c2b141bedad21b0e181fa06e/sentinelsat-0.13-py2.py3-none-any.whl\n",
      "Requirement already satisfied: click in /home/rus/.anaconda/lib/python3.7/site-packages (from sentinelsat) (7.0)\n",
      "Collecting html2text\n",
      "  Downloading https://files.pythonhosted.org/packages/ae/88/14655f727f66b3e3199f4467bafcc88283e6c31b562686bf606264e09181/html2text-2020.1.16-py3-none-any.whl\n",
      "Requirement already satisfied: six in /home/rus/.anaconda/lib/python3.7/site-packages (from sentinelsat) (1.14.0)\n",
      "Collecting geomet\n",
      "  Downloading https://files.pythonhosted.org/packages/c9/81/156ca48f950f833ddc392f8e3677ca50a18cb9d5db38ccb4ecea55a9303f/geomet-0.2.1.post1-py3-none-any.whl\n",
      "Collecting geojson>=2\n",
      "  Using cached https://files.pythonhosted.org/packages/e4/8d/9e28e9af95739e6d2d2f8d4bef0b3432da40b7c3588fbad4298c1be09e48/geojson-2.5.0-py2.py3-none-any.whl\n",
      "Requirement already satisfied: tqdm in /home/rus/.anaconda/lib/python3.7/site-packages (from sentinelsat) (4.36.1)\n",
      "Requirement already satisfied: requests in /home/rus/.anaconda/lib/python3.7/site-packages (from sentinelsat) (2.22.0)\n",
      "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /home/rus/.anaconda/lib/python3.7/site-packages (from requests->sentinelsat) (3.0.4)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /home/rus/.anaconda/lib/python3.7/site-packages (from requests->sentinelsat) (2019.11.28)\n",
      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /home/rus/.anaconda/lib/python3.7/site-packages (from requests->sentinelsat) (1.24.2)\n",
      "Requirement already satisfied: idna<2.9,>=2.5 in /home/rus/.anaconda/lib/python3.7/site-packages (from requests->sentinelsat) (2.8)\n",
      "Installing collected packages: html2text, geomet, geojson, sentinelsat\n",
      "Successfully installed geojson-2.5.0 geomet-0.2.1.post1 html2text-2020.1.16 sentinelsat-0.13\n"
     ]
    }
   ],
   "source": [
    "! pip install sentinelsat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sentinelsat import SentinelAPI, read_geojson, geojson_to_wkt\n",
    "from datetime import date\n",
    "\n",
    "user = 'heyarne'\n",
    "password='FhnNfPppxNbBm7wCoCGLnfly'\n",
    "api = SentinelAPI(user, password)\n",
    "\n",
    "# the \"footprint\" is what we can use to preselect a certain area;\n",
    "# the lake is at (51.7874, 14.4226)\n",
    "footprint = 'POLYGON((14.359428613281251 51.806620319822734,14.466545312500001 51.806620319822734,14.466545312500001 51.757343872357566,14.359428613281251 51.757343872357566,14.359428613281251 51.806620319822734))'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "products = api.query(footprint,\n",
    "                     platformname='Sentinel-2',\n",
    "                     processinglevel='Level-2A',\n",
    "                     date=(date(2019,4,1), date.today()),\n",
    "                     cloudcoverpercentage=(0,30))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "# we create the directory structure we need for the following notebooks\n",
    "! mkdir -p input/raster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
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     "output_type": "stream",
     "text": [
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    {
     "data": {
      "text/plain": [
       "(OrderedDict([('297fbd5d-7aee-4458-bf92-0fabb2390686',\n",
       "               {'id': '297fbd5d-7aee-4458-bf92-0fabb2390686',\n",
       "                'title': 'S2A_MSIL2A_20200508T101031_N0214_R022_T33UVT_20200508T124740',\n",
       "                'size': 1121545000,\n",
       "                'md5': '76921CCAFFECEDA7A78EA88DC72875B0',\n",
       "                'date': datetime.datetime(2020, 5, 8, 10, 10, 31, 24000),\n",
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       "                'url': \"https://scihub.copernicus.eu/apihub/odata/v1/Products('297fbd5d-7aee-4458-bf92-0fabb2390686')/$value\",\n",
       "                'Online': True,\n",
       "                'Creation Date': datetime.datetime(2020, 5, 8, 19, 42, 15, 824000),\n",
       "                'Ingestion Date': datetime.datetime(2020, 5, 8, 19, 41, 4, 344000),\n",
       "                'path': './S2A_MSIL2A_20200508T101031_N0214_R022_T33UVT_20200508T124740.zip',\n",
       "                'downloaded_bytes': 0}),\n",
       "              ('beba8823-384b-40c4-9a46-f805c93e4c0b',\n",
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       "              ('ddb91569-8c5e-4fe0-a227-b0454f56c2b8',\n",
       "               {'id': 'ddb91569-8c5e-4fe0-a227-b0454f56c2b8',\n",
       "                'title': 'S2A_MSIL2A_20190404T101031_N0211_R022_T33UVT_20190404T174806',\n",
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       "                'url': \"https://scihub.copernicus.eu/apihub/odata/v1/Products('ddb91569-8c5e-4fe0-a227-b0454f56c2b8')/$value\",\n",
       "                'Online': True,\n",
       "                'Creation Date': datetime.datetime(2019, 4, 5, 3, 37, 17, 805000),\n",
       "                'Ingestion Date': datetime.datetime(2019, 4, 5, 3, 35, 47, 2000),\n",
       "                'path': './S2A_MSIL2A_20190404T101031_N0211_R022_T33UVT_20190404T174806.zip',\n",
       "                'downloaded_bytes': 1128539873})]),\n",
       " OrderedDict(),\n",
       " set())"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "api.download_all(products, 'input/raster')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# save links for aria2c; DOESN'T WORK AT THE MOMENT\n",
    "with open('link_list.txt', 'w') as f:\n",
    "    f.write('\\n'.join([p['link'] for _, p in products.items()]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ! aria2c --http-user={user} --http-passwd={password} -i link_list.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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