earth-observation-for-journalism/sources/03a Forest Fire Product Downloads.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- How much data would we need to download when covering Brandenburg in its entirety?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import date\n",
    "import os\n",
    "from sentinel_helpers import search_osm\n",
    "from sentinelsat import SentinelAPI\n",
    "\n",
    "api = SentinelAPI(os.getenv('SCIHUB_USERNAME'), os.getenv('SCIHUB_PASSWORD'))\n",
    "start_date = date(2018, 1, 1)\n",
    "end_date = date(2018, 12, 31)\n",
    "cloud_coverage = (0, 30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 13,
     "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 = search_osm('Brandenburg, Germany')\n",
    "brandenburg = brandenburg[brandenburg['type'] == 'administrative'][:1]\n",
    "brandenburg.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Querying products: 100%|██████████| 638/638 [00:38<00:00, 14.05 products/s]\n"
     ]
    }
   ],
   "source": [
    "footprint = brandenburg.iloc[0]['geometry'].convex_hull.wkt\n",
    "results = api.query(footprint,\n",
    "                    platformname='Sentinel-2',\n",
    "                    processinglevel='Level-2A',\n",
    "                    date=(start_date, end_date),\n",
    "                    cloudcoverpercentage=cloud_coverage)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Size in Gigabyte of a whole year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "def human_readable_size_to_bytes(size):\n",
    "    return float(size.split(' ')[0]) * 1024 * 1024 * (1024 if 'GB' in size else 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "517.64189453125"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf = SentinelAPI.to_geodataframe(results)\n",
    "\n",
    "size_in_bytes = gdf['size'].apply(human_readable_size_to_bytes)\n",
    "size_in_bytes.sum() / 1024 ** 3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- the official forest fire season is from march 1 until october 31\n",
    "  - see https://mluk.brandenburg.de/mluk/de/landwirtschaft/forst/waldschutz/waldbrandgefahr-in-brandenburg/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Querying products: 100%|██████████| 579/579 [00:30<00:00, 15.51 products/s]\n"
     ]
    }
   ],
   "source": [
    "season_start = date(2018, 3, 1)\n",
    "season_end = date(2018, 10, 31)\n",
    "results = api.query(footprint,\n",
    "                    platformname='Sentinel-2',\n",
    "                    processinglevel='Level-2A',\n",
    "                    date=(season_start, season_end),\n",
    "                    cloudcoverpercentage=cloud_coverage)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "468.66688476562496"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf = SentinelAPI.to_geodataframe(results)\n",
    "\n",
    "size_in_bytes = gdf['size'].apply(human_readable_size_to_bytes)\n",
    "size_in_bytes.sum() / 1024 ** 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filesystem      Size  Used Avail Use% Mounted on\n",
      "overlay         247G  185G   49G  80% /\n",
      "tmpfs            64M     0   64M   0% /dev\n",
      "tmpfs            16G     0   16G   0% /sys/fs/cgroup\n",
      "shm              64M   60K   64M   1% /dev/shm\n",
      "/dev/xvda1      247G  185G   49G  80% /home/jovyan\n",
      "tmpfs            16G     0   16G   0% /sys/firmware\n"
     ]
    }
   ],
   "source": [
    "! df -h"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- We use https://forst.brandenburg.de/sixcms/media.php/9/wbra2018.pdf as an indicator for which area's we are interested in"
   ]
  },
  {
   "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
}