{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Downloading with GEE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# install with\n",
    "# !pip install terragon-downloader[gee]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import terragon\n",
    "import geopandas as gpd\n",
    "import xarray as xr\n",
    "import ee\n",
    "from utils import visualize_sat_images, dict_to_tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Geographic 2D CRS: EPSG:4326>\n",
       "Name: WGS 84\n",
       "Axis Info [ellipsoidal]:\n",
       "- Lat[north]: Geodetic latitude (degree)\n",
       "- Lon[east]: Geodetic longitude (degree)\n",
       "Area of Use:\n",
       "- name: World.\n",
       "- bounds: (-180.0, -90.0, 180.0, 90.0)\n",
       "Datum: World Geodetic System 1984 ensemble\n",
       "- Ellipsoid: WGS 84\n",
       "- Prime Meridian: Greenwich"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we will use the sample data to download a minicube\n",
    "# other datasets are described here: https://developers.google.com/earth-engine/datasets\n",
    "gdf = gpd.read_file(\"data/TUM_OTN.geojson\")\n",
    "arguments = dict(\n",
    "    shp=gdf,\n",
    "    collection=\"COPERNICUS/S2_SR_HARMONIZED\",\n",
    "    start_date=\"2021-01-01\",\n",
    "    end_date=\"2021-01-05\",\n",
    "    bands=[\"B2\", \"B3\", \"B4\"],\n",
    "    resolution=10,\n",
    "    download_folder=\"tests/download/\",\n",
    ")\n",
    "gdf.crs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Initialize GEE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "*** Earth Engine *** Share your feedback by taking our Annual Developer Satisfaction Survey: https://google.qualtrics.com/jfe/form/SV_7TDKVSyKvBdmMqW?ref=4i2o6\n"
     ]
    }
   ],
   "source": [
    "# to authenticate you need to have an google account and be part of the google earth engine program\n",
    "# register here: https://code.earthengine.google.com/register/\n",
    "\n",
    "# ee.Authenticate() # authenticate if needed and not done before (providing credentials)\n",
    "# usage of cloud projects are enforced in the future, see https://developers.google.com/earth-engine/guides/usage\n",
    "ee.Initialize(opt_url=\"https://earthengine-highvolume.googleapis.com\")\n",
    "# ee.Initialize(opt_url='https://earthengine-highvolume.googleapis.com', project=<your_project>)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "tg = terragon.init(\"gee\")  # credentials are provided through ee.Authenticate()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Finding collections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "ename": "NotImplementedError",
     "evalue": "GEE does not have a collection endpoint. Please, visit https://developers.google.com/earth-engine/datasets/catalog",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNotImplementedError\u001b[0m                       Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[5], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# This is not supported by GEE. Please, visit their website: https://developers.google.com/earth-engine/datasets\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[43mtg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mretrieve_collections\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/terragon_new_cdse/terragon/terragon/google_earth_engine.py:50\u001b[0m, in \u001b[0;36mGEE.retrieve_collections\u001b[0;34m(self, filter_by_name)\u001b[0m\n\u001b[1;32m     44\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mretrieve_collections\u001b[39m(\u001b[38;5;28mself\u001b[39m, filter_by_name: \u001b[38;5;28mstr\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m     45\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Not implemented, because GEE does not have a collection endpoint.\u001b[39;00m\n\u001b[1;32m     46\u001b[0m \n\u001b[1;32m     47\u001b[0m \u001b[38;5;124;03m    :param filter_by_name: unused, kept for compatibility, defaults to None\u001b[39;00m\n\u001b[1;32m     48\u001b[0m \u001b[38;5;124;03m    :raises NotImplementedError: GEE does not have a collection endpoint\u001b[39;00m\n\u001b[1;32m     49\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m---> 50\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mNotImplementedError\u001b[39;00m(\n\u001b[1;32m     51\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mGEE does not have a collection endpoint. Please, visit https://developers.google.com/earth-engine/datasets/catalog\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     52\u001b[0m     )\n",
      "\u001b[0;31mNotImplementedError\u001b[0m: GEE does not have a collection endpoint. Please, visit https://developers.google.com/earth-engine/datasets/catalog"
     ]
    }
   ],
   "source": [
    "# This is not supported by GEE. Please, visit their website: https://developers.google.com/earth-engine/datasets\n",
    "tg.retrieve_collections()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### download (with geedim backend)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "...1dafa549a7b926804f8ffe9adcda829cad459dd5fdc042.tif: |                                                      …"
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       "...1dafa549a7b926804f8ffe9adcda829cad459dd5fdc042.tif: |                                                      …"
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       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 6kB\n",
       "Dimensions:      (x: 28, y: 17, time: 2)\n",
       "Coordinates:\n",
       "  * x            (x) float64 224B 11.65 11.65 11.65 11.65 ... 11.66 11.66 11.66\n",
       "  * y            (y) float64 136B 48.06 48.06 48.06 48.06 ... 48.05 48.05 48.05\n",
       "  * time         (time) datetime64[ns] 16B 2021-01-01 2021-01-03\n",
       "    spatial_ref  int64 8B 0\n",
       "Data variables:\n",
       "    B2           (time, y, x) uint16 2kB 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 0\n",
       "    B3           (time, y, x) uint16 2kB 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 0\n",
       "    B4           (time, y, x) uint16 2kB 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 0\n",
       "Attributes:\n",
       "    crs:          EPSG:4326\n",
       "    data_source:  GEE\n",
       "    collection:   COPERNICUS/S2_SR_HARMONIZED</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6affa55b-2bf8-42e3-b6ec-800e7011a188' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6affa55b-2bf8-42e3-b6ec-800e7011a188' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 28</li><li><span class='xr-has-index'>y</span>: 17</li><li><span class='xr-has-index'>time</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b4194daf-bbca-4885-96f0-c799c2c73e1f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b4194daf-bbca-4885-96f0-c799c2c73e1f' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>11.65 11.65 11.65 ... 11.66 11.66</div><input id='attrs-e83d043d-3939-449e-91af-dc33321833dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e83d043d-3939-449e-91af-dc33321833dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26898e72-41f4-4d3b-b74a-528102687893' class='xr-var-data-in' type='checkbox'><label for='data-26898e72-41f4-4d3b-b74a-528102687893' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([11.652089, 11.652219, 11.652348, 11.652478, 11.652608, 11.652738,\n",
       "       11.652868, 11.652997, 11.653127, 11.653257, 11.653387, 11.653517,\n",
       "       11.653646, 11.653776, 11.653906, 11.654036, 11.654165, 11.654295,\n",
       "       11.654425, 11.654555, 11.654685, 11.654814, 11.654944, 11.655074,\n",
       "       11.655204, 11.655334, 11.655463, 11.655593])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>48.06 48.06 48.06 ... 48.05 48.05</div><input id='attrs-f373c932-0867-4b34-8094-610a6b2b060a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f373c932-0867-4b34-8094-610a6b2b060a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50d2dbe9-1ef5-46b7-af49-375dfea159ff' class='xr-var-data-in' type='checkbox'><label for='data-50d2dbe9-1ef5-46b7-af49-375dfea159ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([48.055343, 48.055256, 48.055168, 48.055081, 48.054993, 48.054906,\n",
       "       48.054818, 48.054731, 48.054643, 48.054555, 48.054468, 48.05438 ,\n",
       "       48.054293, 48.054205, 48.054118, 48.05403 , 48.053943])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-01-01 2021-01-03</div><input id='attrs-5c131550-3387-4dae-ae4f-3b3aec28ef6d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c131550-3387-4dae-ae4f-3b3aec28ef6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5d59e01-e165-416d-8f2d-28ff9a98f3c9' class='xr-var-data-in' type='checkbox'><label for='data-c5d59e01-e165-416d-8f2d-28ff9a98f3c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-01-01T00:00:00.000000000&#x27;, &#x27;2021-01-03T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-5c464495-d938-4806-bfdc-8423fc541ea2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c464495-d938-4806-bfdc-8423fc541ea2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a59f24c-931c-425c-b3f5-2928629241f7' class='xr-var-data-in' type='checkbox'><label for='data-2a59f24c-931c-425c-b3f5-2928629241f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>11.652024 0.0001297857142857042 0.0 48.055387 0.0 -8.752941176526363e-05</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0c7f818f-d49d-4b6a-be03-b2776775538d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0c7f818f-d49d-4b6a-be03-b2776775538d' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>B2</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-b14eacef-a960-4683-8539-1d54bf743dbc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b14eacef-a960-4683-8539-1d54bf743dbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f33ecc41-e632-4641-a0f0-9351393d5d29' class='xr-var-data-in' type='checkbox'><label for='data-f33ecc41-e632-4641-a0f0-9351393d5d29' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[   0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
       "            0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
       "          716,  841,  812,  791,  815,  785,    0,    0],\n",
       "        [   0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
       "            0,    0,    0,    0,    0,    0,  841,  907,  752,  770,\n",
       "          881,  991, 1184, 1162, 1066,  857,    0,    0],\n",
       "        [   0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
       "            0,    0,  737,  778,  959,  995,  995,  960,  863,  899,\n",
       "         1282, 1426, 1592, 1252, 1222,  996,    0,    0],\n",
       "        [   0,    0,    0,    0,    0,    0,    0,    0, 1258, 1150,\n",
       "          976, 1404,  839,  677,  728,  954,  954,  932,  851,  816,\n",
       "         1208, 1166, 1078,  930,  998,  916, 1078,    0],\n",
       "        [   0,    0,    0,    0,  781,  830,  807,  847,  904,  813,\n",
       "          752, 1018,  929,  698,  801, 1021, 1021,  766,  859, 1060,\n",
       "         1388, 1068,  731, 1008,  962,  826,  943,    0],\n",
       "        [1738, 1434, 1072,  838,  762,  797,  980,  859,  920, 1148,\n",
       "         1382, 1416, 1096,  692,  729,  747,  747,  998,  963, 1772,\n",
       "         1886, 1202,  713,  902, 1021,  876,  799,    0],\n",
       "        [1400, 1272, 1056, 1138, 1352, 1734, 1944, 1704, 1934, 2162,\n",
       "         2446, 1626, 1246,  740,  806,  830,  830, 1224, 1120, 1478,\n",
       "...\n",
       "         4220, 4220, 4232, 4168, 4156, 4168, 4168, 4312, 4244, 4168,\n",
       "         4272, 4280, 4232, 4192, 4220, 4168, 4144, 4180],\n",
       "        [   0, 4168, 4244, 4296, 4280, 4284, 4280, 4344, 4468, 4384,\n",
       "         4260, 4232, 4244, 4284, 4280, 4260, 4260, 4312, 4272, 4220,\n",
       "         4344, 4244, 4192, 4192, 4220, 4228,    0,    0],\n",
       "        [   0, 4140, 4296, 4312, 4280, 4228, 4376, 4364, 4400, 4384,\n",
       "         4280, 4272, 4232, 4244, 4232, 4260, 4260, 4344, 4312, 4280,\n",
       "         4312, 4260, 4220,    0,    0,    0,    0,    0],\n",
       "        [   0, 4272, 4244, 4280, 4312, 4344, 4364, 4364, 4384, 4400,\n",
       "         4388, 4340, 4260, 4260, 4312, 4296, 4296, 4312, 4312,    0,\n",
       "            0,    0,    0,    0,    0,    0,    0,    0],\n",
       "        [   0,    0, 4260, 4384, 4364, 4332, 4364, 4340, 4376, 4364,\n",
       "         4312, 4208, 4296, 4260, 4312,    0,    0,    0,    0,    0,\n",
       "            0,    0,    0,    0,    0,    0,    0,    0],\n",
       "        [   0,    0, 4340, 4296, 4228, 4312, 4296, 4296, 4280, 4344,\n",
       "         4296,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
       "            0,    0,    0,    0,    0,    0,    0,    0],\n",
       "        [   0,    0, 4416, 4312, 4232, 4296, 4280,    0,    0,    0,\n",
       "            0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
       "            0,    0,    0,    0,    0,    0,    0,    0]]], dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B3</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-48158d44-d448-485e-b996-438488cd87e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-48158d44-d448-485e-b996-438488cd87e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5be225d-1018-4f21-a985-42f41184bc38' class='xr-var-data-in' type='checkbox'><label for='data-d5be225d-1018-4f21-a985-42f41184bc38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[   0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
       "            0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
       "          856,  855,  924,  980,  908,  863,    0,    0],\n",
       "        [   0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
       "            0,    0,    0,    0,    0,    0,  919,  994,  827,  888,\n",
       "          998, 1013, 1230, 1196, 1074,  986,    0,    0],\n",
       "        [   0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
       "            0,    0,  778,  838, 1020, 1013, 1013, 1044,  883,  945,\n",
       "         1206, 1350, 1568, 1174, 1156,  982,    0,    0],\n",
       "        [   0,    0,    0,    0,    0,    0,    0,    0, 1158, 1082,\n",
       "         1076, 1292,  896,  725,  888, 1058, 1058,  990,  899,  808,\n",
       "         1190, 1130, 1015,  958,  941,  910, 1028,    0],\n",
       "        [   0,    0,    0,    0,  839,  905,  775,  850,  822,  725,\n",
       "          838, 1204,  965,  762,  937, 1011, 1011,  897,  814, 1136,\n",
       "         1456, 1098,  765,  971,  979,  882,  962,    0],\n",
       "        [1892, 1450,  991,  909,  816,  811,  944,  924,  985, 1122,\n",
       "         1512, 1456, 1184,  874,  860,  731,  731, 1032, 1007, 1862,\n",
       "         1990, 1338,  779,  846, 1118,  952,  766,    0],\n",
       "        [1528, 1366, 1050, 1086, 1356, 1728, 1816, 1736, 1926, 2264,\n",
       "         2392, 1712, 1562,  844,  914,  810,  810, 1234, 1216, 1544,\n",
       "...\n",
       "         4000, 3956, 3946, 3920, 3854, 3912, 3912, 4014, 4072, 4058,\n",
       "         4004, 4000, 4046, 3906, 3846, 3814, 3804, 3936],\n",
       "        [   0, 3978, 4028, 4018, 4132, 4046, 4006, 4096, 4080, 4144,\n",
       "         3974, 3946, 3882, 3960, 3924, 3974, 3974, 3986, 4024, 4006,\n",
       "         4000, 3956, 3936, 3906, 3814, 3814,    0,    0],\n",
       "        [   0, 4040, 4080, 4080, 4046, 4060, 4078, 4132, 4080, 4046,\n",
       "         4018, 3960, 3886, 3986, 3936, 4000, 4000, 3986, 3978, 4090,\n",
       "         4018, 4046, 3912,    0,    0,    0,    0,    0],\n",
       "        [   0, 3974, 4124, 4132, 4040, 4112, 4060, 4072, 4096, 4046,\n",
       "         4060, 4018, 3946, 3960, 3946, 4060, 4060, 4046, 4058,    0,\n",
       "            0,    0,    0,    0,    0,    0,    0,    0],\n",
       "        [   0,    0, 4090, 4080, 4046, 4112, 4000, 3986, 4112, 4028,\n",
       "         3964, 4030, 3906, 3946, 3936,    0,    0,    0,    0,    0,\n",
       "            0,    0,    0,    0,    0,    0,    0,    0],\n",
       "        [   0,    0, 4060, 4028, 4046, 3974, 3960, 4046, 4060, 4000,\n",
       "         4014,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
       "            0,    0,    0,    0,    0,    0,    0,    0],\n",
       "        [   0,    0, 4028, 4046, 4006, 4028, 4046,    0,    0,    0,\n",
       "            0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
       "            0,    0,    0,    0,    0,    0,    0,    0]]], dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B4</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-ada6a1d5-538f-4fc3-94e5-c0111e8aa20e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ada6a1d5-538f-4fc3-94e5-c0111e8aa20e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d8b6ff1-615a-46a7-b7c2-5841fc492991' class='xr-var-data-in' type='checkbox'><label for='data-8d8b6ff1-615a-46a7-b7c2-5841fc492991' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[   0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
       "            0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
       "          904,  900,  939, 1064, 1126, 1076,    0,    0],\n",
       "        [   0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
       "            0,    0,    0,    0,    0,    0, 1054, 1030,  907,  972,\n",
       "         1108, 1122, 1272, 1246, 1224, 1060,    0,    0],\n",
       "        [   0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
       "            0,    0,  920,  802, 1070, 1200, 1200, 1022, 1010,  993,\n",
       "         1302, 1410, 1448, 1234, 1146, 1100,    0,    0],\n",
       "        [   0,    0,    0,    0,    0,    0,    0,    0, 1182, 1052,\n",
       "         1108, 1642,  984,  766,  942, 1190, 1190, 1009,  975,  966,\n",
       "         1098, 1184, 1114, 1064, 1036, 1100, 1066,    0],\n",
       "        [   0,    0,    0,    0,  926,  921,  882,  866,  882,  802,\n",
       "          981, 1432, 1144,  896, 1015, 1160, 1160,  980,  969, 1296,\n",
       "         1692, 1288,  860, 1090, 1060, 1034,  962,    0],\n",
       "        [1934, 1582, 1068,  894,  870,  970, 1086,  984, 1064, 1212,\n",
       "         1416, 1738, 1528,  955,  916,  893,  893,  982, 1316, 1932,\n",
       "         2198, 1388,  766, 1016, 1142, 1084,  910,    0],\n",
       "        [1772, 1604, 1108, 1168, 1382, 1718, 2122, 1706, 1928, 2216,\n",
       "         2504, 2064, 1668,  986,  849,  916,  916, 1220, 1418, 1698,\n",
       "...\n",
       "         3770, 3792, 3792, 3702, 3730, 3782, 3782, 3838, 3870, 3870,\n",
       "         3848, 3816, 3816, 3730, 3742, 3714, 3688, 3680],\n",
       "        [   0, 3770, 3860, 3870, 3870, 3870, 3908, 3860, 3882, 3860,\n",
       "         3840, 3782, 3730, 3696, 3730, 3838, 3838, 3902, 3946, 3908,\n",
       "         3854, 3824, 3802, 3676, 3738, 3688,    0,    0],\n",
       "        [   0, 3688, 3836, 3920, 3894, 3908, 3906, 3908, 3938, 3854,\n",
       "         3930, 3792, 3782, 3770, 3706, 3828, 3828, 3860, 3906, 3890,\n",
       "         3890, 3824, 3742,    0,    0,    0,    0,    0],\n",
       "        [   0, 3714, 3776, 3902, 3886, 3854, 3854, 3874, 3890, 3902,\n",
       "         3870, 3836, 3760, 3794, 3802, 3794, 3794, 3840, 3840,    0,\n",
       "            0,    0,    0,    0,    0,    0,    0,    0],\n",
       "        [   0,    0, 3770, 3816, 3836, 3838, 3870, 3902, 3886, 3906,\n",
       "         3890, 3854, 3836, 3840, 3802,    0,    0,    0,    0,    0,\n",
       "            0,    0,    0,    0,    0,    0,    0,    0],\n",
       "        [   0,    0, 3838, 3840, 3848, 3840, 3894, 3946, 3906, 3886,\n",
       "         3870,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
       "            0,    0,    0,    0,    0,    0,    0,    0],\n",
       "        [   0,    0, 3840, 3816, 3816, 3816, 3836,    0,    0,    0,\n",
       "            0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
       "            0,    0,    0,    0,    0,    0,    0,    0]]], dtype=uint16)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-30041e62-39c2-4acc-b7e8-138bfc2c3c84' class='xr-section-summary-in' type='checkbox'  ><label for='section-30041e62-39c2-4acc-b7e8-138bfc2c3c84' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-2c17e795-2d46-4980-b97c-b2fe20dba1c2' class='xr-index-data-in' type='checkbox'/><label for='index-2c17e795-2d46-4980-b97c-b2fe20dba1c2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([11.652088892857144,  11.65221867857143, 11.652348464285716,\n",
       "       11.652478250000001, 11.652608035714287, 11.652737821428572,\n",
       "       11.652867607142857, 11.652997392857143,  11.65312717857143,\n",
       "       11.653256964285715, 11.653386750000001, 11.653516535714287,\n",
       "       11.653646321428573, 11.653776107142859, 11.653905892857143,\n",
       "       11.654035678571429, 11.654165464285715,        11.65429525,\n",
       "       11.654425035714286, 11.654554821428572, 11.654684607142858,\n",
       "       11.654814392857144,  11.65494417857143, 11.655073964285714,\n",
       "              11.65520375, 11.655333535714286, 11.655463321428572,\n",
       "       11.655593107142858],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-3c24a821-f27d-4959-8b23-3f49d1d5f94e' class='xr-index-data-in' type='checkbox'/><label for='index-3c24a821-f27d-4959-8b23-3f49d1d5f94e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([48.05534323529412, 48.05525570588235, 48.05516817647059,\n",
       "       48.05508064705882, 48.05499311764706, 48.05490558823529,\n",
       "       48.05481805882353, 48.05473052941176,         48.054643,\n",
       "       48.05455547058823, 48.05446794117646,  48.0543804117647,\n",
       "       48.05429288235293, 48.05420535294117,  48.0541178235294,\n",
       "       48.05403029411764, 48.05394276470587],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-8f85b03c-f606-42b5-8b5f-a3cf27670861' class='xr-index-data-in' type='checkbox'/><label for='index-8f85b03c-f606-42b5-8b5f-a3cf27670861' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2021-01-01&#x27;, &#x27;2021-01-03&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6039d20c-3d89-40fa-ad83-1ff38fb7b6be' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6039d20c-3d89-40fa-ad83-1ff38fb7b6be' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>crs :</span></dt><dd>EPSG:4326</dd><dt><span>data_source :</span></dt><dd>GEE</dd><dt><span>collection :</span></dt><dd>COPERNICUS/S2_SR_HARMONIZED</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 6kB\n",
       "Dimensions:      (x: 28, y: 17, time: 2)\n",
       "Coordinates:\n",
       "  * x            (x) float64 224B 11.65 11.65 11.65 11.65 ... 11.66 11.66 11.66\n",
       "  * y            (y) float64 136B 48.06 48.06 48.06 48.06 ... 48.05 48.05 48.05\n",
       "  * time         (time) datetime64[ns] 16B 2021-01-01 2021-01-03\n",
       "    spatial_ref  int64 8B 0\n",
       "Data variables:\n",
       "    B2           (time, y, x) uint16 2kB 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 0\n",
       "    B3           (time, y, x) uint16 2kB 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 0\n",
       "    B4           (time, y, x) uint16 2kB 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 0\n",
       "Attributes:\n",
       "    crs:          EPSG:4326\n",
       "    data_source:  GEE\n",
       "    collection:   COPERNICUS/S2_SR_HARMONIZED"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# clipped tile tifs are downloaded with geedim and then merged into a single xarray dataset\n",
    "ds = tg.create(**arguments, num_workers=10)\n",
    "# or\n",
    "# items = tg.search(**arguments, num_workers=10)\n",
    "# ds = tg.download(items)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualize_sat_images(ds, gdf, list(reversed(arguments[\"bands\"])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<ee.imagecollection.ImageCollection at 0x7ff8046fe110>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# the ouptut of the search is an ee ImageCollection\n",
    "tg.search(**arguments)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Special arguments for GEE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c7eb4b46455c4f46a884d898569fa7e8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "...1dafa549a7b926804f8ffe9adcda829cad459dd5fdc042.tif: |                                                      …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "375c41bddae74e0394b9d687693730ce",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "...1dafa549a7b926804f8ffe9adcda829cad459dd5fdc042.tif: |                                                      …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# downloaded tile tifs are removed by default when creating a minicube, this behavior can be change with rm_tmp_files=False\n",
    "ds = tg.create(**arguments, rm_tmp_files=False)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "tg",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
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