{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example - Reproject"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import rioxarray # for the extension to load\n",
    "import xarray\n",
    "import rasterio\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load in xarray dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "xds = xarray.open_dataset(\"../../test/test_data/input/PLANET_SCOPE_3D.nc\", decode_coords=\"all\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (time: 2, x: 10, y: 10)\n",
       "Coordinates:\n",
       "    spatial_ref  int64 0\n",
       "  * x            (x) float64 4.663e+05 4.663e+05 ... 4.663e+05 4.663e+05\n",
       "  * time         (time) datetime64[ns] 2016-12-19T10:27:29.687763 2016-12-29T...\n",
       "  * y            (y) float64 8.085e+06 8.085e+06 ... 8.085e+06 8.085e+06\n",
       "Data variables:\n",
       "    blue         (time, y, x) float64 6.611 5.581 0.3996 ... 3.491 5.056 3.368\n",
       "    green        (time, y, x) float64 7.921 66.15 30.1 ... 21.76 27.29 18.41</pre><div class='xr-wrap' hidden><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-45eb2830-a807-4070-8270-eafb894091e9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-45eb2830-a807-4070-8270-eafb894091e9' 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'>time</span>: 2</li><li><span class='xr-has-index'>x</span>: 10</li><li><span class='xr-has-index'>y</span>: 10</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-866810c8-7763-4ad0-884c-659a75f5c365' class='xr-section-summary-in' type='checkbox'  checked><label for='section-866810c8-7763-4ad0-884c-659a75f5c365' 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>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-28b007a0-1d57-44a2-9044-da130e8cfa2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28b007a0-1d57-44a2-9044-da130e8cfa2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0ff534a-88e7-4944-ba89-b5645ea219f9' class='xr-var-data-in' type='checkbox'><label for='data-c0ff534a-88e7-4944-ba89-b5645ea219f9' 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>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 22S&quot;,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;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-51],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,10000000],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32722&quot;]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><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'>4.663e+05 4.663e+05 ... 4.663e+05</div><input id='attrs-34ea2c4f-000a-4ce2-b62e-a8dfbcc906f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34ea2c4f-000a-4ce2-b62e-a8dfbcc906f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53a4c842-cfce-4d59-b370-8f002ab69088' class='xr-var-data-in' type='checkbox'><label for='data-53a4c842-cfce-4d59-b370-8f002ab69088' 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>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([466267.5, 466270.5, 466273.5, 466276.5, 466279.5, 466282.5, 466285.5,\n",
       "       466288.5, 466291.5, 466294.5])</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'>2016-12-19T10:27:29.687763 2016-...</div><input id='attrs-85843e76-c4c1-44ee-b8fe-9c6f0b2c934a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-85843e76-c4c1-44ee-b8fe-9c6f0b2c934a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08a858f1-899e-4560-a155-b91589db4ab6' class='xr-var-data-in' type='checkbox'><label for='data-08a858f1-899e-4560-a155-b91589db4ab6' 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;2016-12-19T10:27:29.687763000&#x27;, &#x27;2016-12-29T12:52:42.347451000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</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'>8.085e+06 8.085e+06 ... 8.085e+06</div><input id='attrs-d2563e2f-3d5c-430b-b264-1aa3c57398b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2563e2f-3d5c-430b-b264-1aa3c57398b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fbadacc-5d51-49a4-9648-0a1ab3420bc4' class='xr-var-data-in' type='checkbox'><label for='data-3fbadacc-5d51-49a4-9648-0a1ab3420bc4' 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>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([8084698.5, 8084695.5, 8084692.5, 8084689.5, 8084686.5, 8084683.5,\n",
       "       8084680.5, 8084677.5, 8084674.5, 8084671.5])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ba0f4c5e-f47a-4f11-988d-a3e5128f44bc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ba0f4c5e-f47a-4f11-988d-a3e5128f44bc' class='xr-section-summary' >Data variables: <span>(2)</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>blue</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a28b5fc7-3647-4072-a0fb-b8aad6f664ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a28b5fc7-3647-4072-a0fb-b8aad6f664ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9b7f31d-2d0a-48f5-8f1c-db719140f271' class='xr-var-data-in' type='checkbox'><label for='data-e9b7f31d-2d0a-48f5-8f1c-db719140f271' 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>units :</span></dt><dd>DN</dd><dt><span>nodata :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[[6.611017, 5.580979, 0.399607, 2.052803, 5.479985, 4.760219,\n",
       "         5.077927, 5.574792, 0.726683, 5.170288],\n",
       "        [4.535516, 0.088263, 4.222302, 0.289199, 3.478147, 3.227945,\n",
       "         2.736443, 2.821799, 1.04221 , 1.099616],\n",
       "        [0.071364, 4.393267, 0.496907, 2.311926, 1.19123 , 5.984189,\n",
       "         5.266977, 1.146988, 3.219185, 0.982011],\n",
       "        [5.818552, 5.176065, 4.891903, 4.557147, 4.706706, 4.670835,\n",
       "         2.344188, 0.493237, 2.707488, 4.15662 ],\n",
       "        [0.78458 , 3.838047, 0.803847, 1.588861, 5.002692, 2.565792,\n",
       "         5.195116, 2.642173, 1.47148 , 6.854931],\n",
       "        [4.407593, 6.734126, 3.702884, 4.682068, 0.498895, 2.931409,\n",
       "         5.713952, 6.388658, 6.618634, 3.267176],\n",
       "        [6.175152, 2.331721, 6.829246, 1.650656, 5.530157, 0.167316,\n",
       "         6.406627, 4.559968, 0.083601, 1.231478],\n",
       "        [2.438085, 1.593681, 5.902827, 2.124327, 1.870033, 4.519462,\n",
       "         4.845505, 6.214475, 2.237778, 4.178488],\n",
       "        [5.855639, 5.824333, 6.006212, 5.43411 , 3.393885, 6.183958,\n",
       "         1.284061, 0.028555, 6.726706, 1.516993],\n",
       "        [0.844103, 5.61329 , 6.978045, 1.183779, 2.539376, 1.268038,\n",
       "         1.27574 , 5.101129, 2.020225, 2.081746]],\n",
       "\n",
       "       [[6.242907, 6.394763, 1.302492, 2.895077, 0.537664, 5.012127,\n",
       "         4.380069, 1.624007, 5.56236 , 4.303491],\n",
       "        [6.745937, 3.653031, 5.116965, 1.835256, 3.514732, 6.523679,\n",
       "         0.17986 , 2.444248, 5.169099, 0.584623],\n",
       "        [2.119518, 0.479052, 4.274714, 6.019049, 6.346329, 2.858441,\n",
       "         3.976887, 4.218218, 4.320734, 3.941107],\n",
       "        [2.974649, 6.67996 , 3.16875 , 3.507162, 2.909711, 1.359386,\n",
       "         4.023015, 0.258809, 2.007625, 5.744746],\n",
       "        [2.572982, 1.250802, 4.652006, 6.310958, 3.266477, 3.216613,\n",
       "         3.47315 , 1.713415, 5.9575  , 2.729016],\n",
       "        [2.743341, 4.203021, 1.306215, 2.840115, 5.351451, 2.774677,\n",
       "         2.621753, 5.288077, 0.722618, 4.086008],\n",
       "        [3.168672, 4.031863, 5.775087, 3.487762, 6.034522, 4.721887,\n",
       "         5.093018, 0.386024, 2.278799, 1.536351],\n",
       "        [4.548959, 4.797754, 6.371152, 3.69425 , 6.855343, 1.987757,\n",
       "         4.749654, 1.750539, 1.804795, 4.966536],\n",
       "        [1.78139 , 1.544275, 1.750026, 3.373274, 2.604254, 5.894015,\n",
       "         3.217723, 5.637478, 2.900347, 2.097813],\n",
       "        [1.844174, 6.994962, 2.504717, 5.292132, 0.184411, 4.870834,\n",
       "         1.888442, 3.491315, 5.055704, 3.368395]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>green</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-488de4a2-274f-4896-a2c7-8eaaf18ca6d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-488de4a2-274f-4896-a2c7-8eaaf18ca6d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b28137b-0d86-4df6-82ed-3dc2a3937270' class='xr-var-data-in' type='checkbox'><label for='data-8b28137b-0d86-4df6-82ed-3dc2a3937270' 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>units :</span></dt><dd>DN</dd><dt><span>nodata :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[[ 7.920639, 66.150832, 30.096116, 30.437197, 57.794734, 11.538647,\n",
       "         14.426782, 35.593171, 53.784858,  0.449093],\n",
       "        [23.804111, 67.910347, 18.694533, 30.41474 , 68.117674, 44.906057,\n",
       "         62.311842, 37.485047, 57.134336,  7.52572 ],\n",
       "        [36.653481, 39.596833, 61.07603 , 56.883093, 29.635613, 64.114699,\n",
       "         42.341689, 54.724789, 31.872344, 11.282554],\n",
       "        [32.502176, 28.090549, 58.398927, 41.224019, 34.804777, 32.184565,\n",
       "         59.392327,  9.155824, 52.967172, 67.409236],\n",
       "        [18.79468 ,  8.543429, 35.834698,  3.596245, 30.252802, 41.549499,\n",
       "         23.060248,  7.267762, 27.374099,  0.684024],\n",
       "        [ 9.93227 , 44.509446, 22.01927 , 28.514121, 36.715233, 15.03939 ,\n",
       "          2.43399 ,  0.636075, 34.43023 , 37.024545],\n",
       "        [28.874823,  1.514255, 34.210822, 10.49793 , 54.025491, 64.294026,\n",
       "         36.212813, 17.766628, 45.295952, 10.349576],\n",
       "        [58.961924, 47.334638, 64.844646, 37.634131,  7.815025, 35.139303,\n",
       "         18.501505, 35.01185 , 27.761908, 13.240655],\n",
       "        [49.544668, 57.716538, 27.389778, 11.604377, 24.826367, 15.449456,\n",
       "         26.482386, 42.855739, 10.4958  , 59.267182],\n",
       "        [37.094093, 43.294246, 33.240747, 16.85513 , 54.705119, 14.633291,\n",
       "         35.138742, 50.101683, 57.495953, 52.795405]],\n",
       "\n",
       "       [[26.137058, 16.448086,  4.503539, 33.351036, 20.32524 , 63.369743,\n",
       "         11.531512, 38.629561, 59.821441, 11.547508],\n",
       "        [ 6.438471, 28.948907,  9.949052, 23.234921, 65.539507,  9.822554,\n",
       "         55.754023, 51.590388, 57.047098,  4.929671],\n",
       "        [32.360472, 17.939979, 52.889505, 69.181176, 39.2923  , 56.442225,\n",
       "          5.699603, 21.092554,  8.93472 , 23.810367],\n",
       "        [ 3.715695, 30.653733, 44.540496, 48.578544, 24.032477, 30.339109,\n",
       "         37.376636, 58.787274, 49.308994, 59.510765],\n",
       "        [37.991912, 50.023013, 63.711135, 26.546118, 60.561058, 36.098302,\n",
       "         10.725673, 40.51609 , 47.479255, 42.710909],\n",
       "        [15.32887 , 15.878984, 30.914778, 25.902812,  3.815428, 35.530366,\n",
       "         48.426293, 44.280075,  4.468083, 18.00032 ],\n",
       "        [58.286993, 20.397714, 63.124   , 69.117495,  1.32436 , 29.024715,\n",
       "         31.601531, 34.307982,  7.990292, 36.159696],\n",
       "        [34.674335, 62.344993,  5.714717,  2.161448, 66.714977, 52.443751,\n",
       "         12.791859, 63.707491, 13.697063,  9.394474],\n",
       "        [16.766346, 26.260123, 40.68158 , 18.695085, 64.812126, 23.151592,\n",
       "         50.597642, 61.308205, 31.517123, 23.469797],\n",
       "        [44.670989, 17.533084, 39.034907, 32.676726, 53.275139, 48.731172,\n",
       "         12.958856, 21.760335, 27.292202, 18.409063]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-79eaaf20-0b46-43be-b9cf-7f1abeb0b6f9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-79eaaf20-0b46-43be-b9cf-7f1abeb0b6f9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (time: 2, x: 10, y: 10)\n",
       "Coordinates:\n",
       "    spatial_ref  int64 ...\n",
       "  * x            (x) float64 4.663e+05 4.663e+05 ... 4.663e+05 4.663e+05\n",
       "  * time         (time) datetime64[ns] 2016-12-19T10:27:29.687763 2016-12-29T...\n",
       "  * y            (y) float64 8.085e+06 8.085e+06 ... 8.085e+06 8.085e+06\n",
       "Data variables:\n",
       "    blue         (time, y, x) float64 ...\n",
       "    green        (time, y, x) float64 ..."
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f8f13620880>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "xds.green.where(xds.green!=xds.green.rio.nodata).isel(time=1).plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reproject\n",
    "\n",
    "API Reference:\n",
    "\n",
    "- DataArray: [rio.reproject()](../rioxarray.rst#rioxarray.raster_array.RasterArray.reproject)\n",
    "- Dataset: [rio.reproject()](../rioxarray.rst#rioxarray.raster_dataset.RasterDataset.reproject)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "xds_lonlat = xds.rio.reproject(\"EPSG:4326\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\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",
       "  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;\n",
       "Dimensions:      (time: 2, x: 10, y: 10)\n",
       "Coordinates:\n",
       "  * x            (x) float64 -51.32 -51.32 -51.32 ... -51.32 -51.32 -51.32\n",
       "  * y            (y) float64 -17.32 -17.32 -17.32 ... -17.32 -17.32 -17.32\n",
       "  * time         (time) datetime64[ns] 2016-12-19T10:27:29.687763 2016-12-29T...\n",
       "    spatial_ref  int64 0\n",
       "Data variables:\n",
       "    blue         (time, y, x) float64 6.611 5.581 0.3996 ... 3.491 5.056 3.368\n",
       "    green        (time, y, x) float64 7.921 66.15 30.1 ... 21.76 27.29 18.41</pre><div class='xr-wrap' hidden><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-f82895e0-94c5-41e7-965a-f309f40a772c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f82895e0-94c5-41e7-965a-f309f40a772c' 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'>time</span>: 2</li><li><span class='xr-has-index'>x</span>: 10</li><li><span class='xr-has-index'>y</span>: 10</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7fbb1a9c-ea36-44de-b015-b0bf3be03674' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7fbb1a9c-ea36-44de-b015-b0bf3be03674' 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'>-51.32 -51.32 ... -51.32 -51.32</div><input id='attrs-38e090bd-85be-426b-ade8-c39502fa16a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38e090bd-85be-426b-ade8-c39502fa16a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-defa9d2d-d31c-431a-82e3-3ec3e7b18ea0' class='xr-var-data-in' type='checkbox'><label for='data-defa9d2d-d31c-431a-82e3-3ec3e7b18ea0' 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([-51.317454, -51.317426, -51.317399, -51.317371, -51.317343, -51.317316,\n",
       "       -51.317288, -51.31726 , -51.317233, -51.317205])</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'>-17.32 -17.32 ... -17.32 -17.32</div><input id='attrs-e72e0d56-f2e8-4f20-9c4d-f081f99576c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e72e0d56-f2e8-4f20-9c4d-f081f99576c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31d9d357-a70b-4b4f-8217-ab20870c7c7f' class='xr-var-data-in' type='checkbox'><label for='data-31d9d357-a70b-4b4f-8217-ab20870c7c7f' 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([-17.322876, -17.322903, -17.322931, -17.322959, -17.322986, -17.323014,\n",
       "       -17.323042, -17.323069, -17.323097, -17.323125])</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'>2016-12-19T10:27:29.687763 2016-...</div><input id='attrs-0206b871-06ba-474f-8f44-3a47010cb630' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0206b871-06ba-474f-8f44-3a47010cb630' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfe148f3-6ccd-418b-8a5b-234a95472c42' class='xr-var-data-in' type='checkbox'><label for='data-dfe148f3-6ccd-418b-8a5b-234a95472c42' 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;2016-12-19T10:27:29.687763000&#x27;, &#x27;2016-12-29T12:52:42.347451000&#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-15f96bc1-395f-4770-af20-9603b114ad1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15f96bc1-395f-4770-af20-9603b114ad1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42902900-c1fd-4910-a111-c16b9cc4a195' class='xr-var-data-in' type='checkbox'><label for='data-42902900-c1fd-4910-a111-c16b9cc4a195' 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>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>-51.31746780720891 2.7678699822269306e-05 0.0 -17.322861663733065 0.0 -2.7678699822269306e-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-b678e340-da44-426a-a4f7-d951b9ff6f77' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b678e340-da44-426a-a4f7-d951b9ff6f77' class='xr-section-summary' >Data variables: <span>(2)</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>blue</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.611 5.581 0.3996 ... 5.056 3.368</div><input id='attrs-7c8b5103-9e66-4954-95db-974807557881' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c8b5103-9e66-4954-95db-974807557881' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51ed04e1-5d6e-4b55-9838-56991d4657a9' class='xr-var-data-in' type='checkbox'><label for='data-51ed04e1-5d6e-4b55-9838-56991d4657a9' 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>units :</span></dt><dd>DN</dd></dl></div><div class='xr-var-data'><pre>array([[[6.61101706, 5.58097901, 0.39960727, 2.05280345, 5.47998484,\n",
       "         4.76021916, 5.07792715, 5.57479217, 0.72668295, 5.17028805],\n",
       "        [4.53551623, 0.08826297, 4.22230213, 0.28919903, 3.47814709,\n",
       "         3.22794508, 2.73644333, 2.82179869, 1.04221025, 1.09961647],\n",
       "        [0.07136352, 4.39326719, 0.49690677, 2.31192634, 1.19123023,\n",
       "         5.98418893, 5.26697738, 1.14698827, 3.21918509, 0.98201077],\n",
       "        [5.81855223, 5.17606488, 4.89190312, 4.55714657, 4.70670585,\n",
       "         4.67083516, 2.34418779, 0.4932369 , 2.70748782, 4.15661977],\n",
       "        [0.78457995, 3.83804728, 0.80384702, 1.58886148, 5.00269192,\n",
       "         2.56579153, 5.19511563, 2.6421726 , 1.47148022, 6.85493052],\n",
       "        [4.40759261, 6.73412648, 3.70288412, 4.68206812, 0.49889505,\n",
       "         2.93140894, 5.71395224, 6.38865828, 6.61863439, 3.26717611],\n",
       "        [6.17515163, 2.33172093, 6.82924574, 1.65065578, 5.53015689,\n",
       "         0.16731611, 6.40662729, 4.55996818, 0.08360072, 1.23147801],\n",
       "        [2.43808458, 1.59368058, 5.90282702, 2.12432736, 1.8700329 ,\n",
       "         4.51946233, 4.84550488, 6.21447495, 2.23777817, 4.17848811],\n",
       "        [5.85563919, 5.82433331, 6.00621159, 5.43410984, 3.39388501,\n",
       "         6.18395763, 1.28406097, 0.02855524, 6.72670605, 1.51699291],\n",
       "        [0.84410255, 5.61328959, 6.97804534, 1.18377926, 2.53937552,\n",
       "         1.26803824, 1.27574049, 5.10112907, 2.02022521, 2.08174614]],\n",
       "...\n",
       "       [[6.24290664, 6.39476317, 1.30249235, 2.89507681, 0.5376643 ,\n",
       "         5.01212706, 4.38006939, 1.62400749, 5.56236028, 4.30349107],\n",
       "        [6.74593668, 3.65303136, 5.11696455, 1.83525557, 3.51473159,\n",
       "         6.52367921, 0.17986011, 2.44424775, 5.16909939, 0.58462293],\n",
       "        [2.11951807, 0.47905249, 4.27471358, 6.01904917, 6.34632929,\n",
       "         2.85844128, 3.97688665, 4.21821752, 4.32073426, 3.9411069 ],\n",
       "        [2.97464873, 6.67996018, 3.16875018, 3.50716191, 2.9097115 ,\n",
       "         1.35938603, 4.0230148 , 0.2588095 , 2.00762528, 5.74474576],\n",
       "        [2.57298212, 1.25080228, 4.65200582, 6.31095753, 3.26647688,\n",
       "         3.21661254, 3.4731501 , 1.71341466, 5.95750029, 2.72901564],\n",
       "        [2.74334064, 4.20302139, 1.30621538, 2.84011532, 5.35145147,\n",
       "         2.77467654, 2.6217532 , 5.28807657, 0.72261773, 4.08600786],\n",
       "        [3.1686723 , 4.0318634 , 5.77508699, 3.48776179, 6.0345218 ,\n",
       "         4.72188719, 5.09301838, 0.38602444, 2.27879875, 1.5363515 ],\n",
       "        [4.54895876, 4.79775447, 6.3711522 , 3.69424969, 6.85534296,\n",
       "         1.98775739, 4.74965416, 1.75053883, 1.80479493, 4.96653593],\n",
       "        [1.78138972, 1.54427475, 1.75002571, 3.37327355, 2.60425433,\n",
       "         5.89401538, 3.2177233 , 5.63747771, 2.90034677, 2.09781306],\n",
       "        [1.84417405, 6.99496234, 2.50471667, 5.29213205, 0.1844106 ,\n",
       "         4.87083388, 1.88844217, 3.49131529, 5.05570379, 3.36839469]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>green</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.921 66.15 30.1 ... 27.29 18.41</div><input id='attrs-2abda620-506f-4da9-b5d1-28f48d5c9e82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2abda620-506f-4da9-b5d1-28f48d5c9e82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0858356e-9a30-4af8-afde-aefabaf6422f' class='xr-var-data-in' type='checkbox'><label for='data-0858356e-9a30-4af8-afde-aefabaf6422f' 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>units :</span></dt><dd>DN</dd></dl></div><div class='xr-var-data'><pre>array([[[ 7.92063876, 66.15083163, 30.09611622, 30.43719706,\n",
       "         57.79473407, 11.53864677, 14.42678195, 35.5931706 ,\n",
       "         53.78485769,  0.44909335],\n",
       "        [23.80411143, 67.91034696, 18.6945325 , 30.41473977,\n",
       "         68.11767437, 44.90605663, 62.31184244, 37.48504719,\n",
       "         57.13433649,  7.52571983],\n",
       "        [36.65348061, 39.59683262, 61.07602968, 56.88309328,\n",
       "         29.63561283, 64.11469949, 42.34168918, 54.7247894 ,\n",
       "         31.87234425, 11.28255401],\n",
       "        [32.50217644, 28.0905485 , 58.39892665, 41.22401876,\n",
       "         34.80477692, 32.18456541, 59.39232697,  9.15582412,\n",
       "         52.96717208, 67.40923645],\n",
       "        [18.79468009,  8.54342894, 35.83469773,  3.59624497,\n",
       "         30.25280185, 41.54949902, 23.06024792,  7.26776162,\n",
       "         27.37409939,  0.68402392],\n",
       "        [ 9.93226996, 44.50944555, 22.01927024, 28.5141208 ,\n",
       "         36.71523344, 15.03939035,  2.43398964,  0.63607503,\n",
       "         34.43022974, 37.02454468],\n",
       "        [28.87482271,  1.51425484, 34.21082199, 10.49792965,\n",
       "         54.02549098, 64.29402555, 36.21281265, 17.76662845,\n",
       "...\n",
       "         24.03247674, 30.33910879, 37.37663568, 58.78727396,\n",
       "         49.30899357, 59.51076479],\n",
       "        [37.99191205, 50.0230132 , 63.71113469, 26.54611832,\n",
       "         60.5610581 , 36.09830221, 10.72567322, 40.51609048,\n",
       "         47.47925466, 42.71090946],\n",
       "        [15.32887012, 15.8789836 , 30.91477844, 25.90281227,\n",
       "          3.81542846, 35.53036591, 48.42629307, 44.28007476,\n",
       "          4.46808288, 18.00031979],\n",
       "        [58.28699332, 20.39771424, 63.12400017, 69.11749464,\n",
       "          1.32435965, 29.02471509, 31.60153124, 34.30798249,\n",
       "          7.99029205, 36.15969559],\n",
       "        [34.67433533, 62.34499312,  5.71471651,  2.16144808,\n",
       "         66.71497747, 52.4437509 , 12.79185872, 63.70749094,\n",
       "         13.69706259,  9.39447357],\n",
       "        [16.76634605, 26.26012306, 40.68158023, 18.69508482,\n",
       "         64.81212607, 23.15159177, 50.59764238, 61.30820521,\n",
       "         31.51712269, 23.46979658],\n",
       "        [44.67098863, 17.53308399, 39.03490717, 32.67672611,\n",
       "         53.27513876, 48.73117231, 12.95885589, 21.760335  ,\n",
       "         27.29220175, 18.40906318]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d5f85efc-8e6c-4119-a4b9-c904d3b06bac' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d5f85efc-8e6c-4119-a4b9-c904d3b06bac' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (time: 2, x: 10, y: 10)\n",
       "Coordinates:\n",
       "  * x            (x) float64 -51.32 -51.32 -51.32 ... -51.32 -51.32 -51.32\n",
       "  * y            (y) float64 -17.32 -17.32 -17.32 ... -17.32 -17.32 -17.32\n",
       "  * time         (time) datetime64[ns] 2016-12-19T10:27:29.687763 2016-12-29T...\n",
       "    spatial_ref  int64 0\n",
       "Data variables:\n",
       "    blue         (time, y, x) float64 6.611 5.581 0.3996 ... 3.491 5.056 3.368\n",
       "    green        (time, y, x) float64 7.921 66.15 30.1 ... 21.76 27.29 18.41"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xds_lonlat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f8f134b63a0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "xds_lonlat.green.where(xds_lonlat.green!=xds_lonlat.green.rio.nodata).isel(time=1).plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reproject to UTM\n",
    "\n",
    "API Reference:\n",
    "\n",
    "- [rio.estimate_utm_crs()](../rioxarray.rst#rioxarray.rioxarray.XRasterBase.estimate_utm_crs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CRS.from_epsg(32722)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xds_utm = xds.rio.reproject(xds.rio.estimate_utm_crs())\n",
    "xds_utm.rio.crs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reproject Large Rasters with Virtual Warping\n",
    "\n",
    "Using [WarpedVRT](https://rasterio.readthedocs.io/en/latest/topics/virtual-warping.html) enables re-projection from disk and reduces the amount\n",
    "of memory required with the re-projection."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "url = (\n",
    "    \"https://storage.googleapis.com/\"\n",
    "    \"gcp-public-data-landsat/LC08/01/047/027/\"\n",
    "    \"LC08_L1TP_047027_20130421_20170310_01_T1/\"\n",
    "    \"LC08_L1TP_047027_20130421_20170310_01_T1_B4.TIF\"\n",
    ")\n",
    "env = rasterio.Env(\n",
    "    GDAL_DISABLE_READDIR_ON_OPEN=\"EMPTY_DIR\",\n",
    "    CPL_VSIL_CURL_USE_HEAD=False,\n",
    "    CPL_VSIL_CURL_ALLOWED_EXTENSIONS=\"TIF\",\n",
    ")\n",
    "with env:\n",
    "    with rasterio.open(url) as src:\n",
    "        with rasterio.vrt.WarpedVRT(src, crs=\"EPSG:4326\") as vrt:\n",
    "            rds = rioxarray.open_rasterio(vrt)\n",
    "            rds.sel(band=1).plot.imshow()"
   ]
  }
 ],
 "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}