Stack GeoTIFFs and Create a NetCDF.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "import rasterio\n",
    "import earthpy as et\n",
    "import earthpy.plot as ep\n",
    "import earthpy.spatial as es\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "import pandas as pd\n",
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "files_dir = \"../Data/Soil Moisture/SMAP_3dayComposite_smi\"\n",
    "# os.listdir(files_dir)\n",
    "files = []\n",
    "for file in os.listdir(files_dir):\n",
    "    if file.endswith(\".tif\"):\n",
    "        files.append(os.path.join(files_dir,file))\n",
    "files.sort()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "list"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "stack_output_path = \"../Data/Soil Moisture\"\n",
    "stack_output_file = os.path.join(stack_output_path, \"smap_smi_stack.tif\")\n",
    "smi_stack, smi_meta = es.stack(files, stack_output_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1729, 256, 272)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "smi_stack.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ep.plot_bands(smi_stack[0])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "# https://stackoverflow.com/questions/46899337/convert-raster-time-series-of-multiple-geotiff-images-to-netcdf\n",
    "\n",
    "def time_index_from_filenames(filenames):\n",
    "    '''helper function to create a pandas DatetimeIndex\n",
    "       Filename example: 20150520_0164.tif'''\n",
    "    return pd.DatetimeIndex([pd.Timestamp(f[64:72]) for f in filenames])\n",
    "\n",
    "time = xr.Variable('time', time_index_from_filenames(files))\n",
    "chunks = {'x': 256, 'y': 272, 'band': 1}\n",
    "da = xr.concat([xr.open_rasterio(f, chunks=chunks) for f in files], dim=time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
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       "\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, 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.DataArray (time: 1729, band: 1, y: 256, x: 272)&gt;\n",
       "dask.array&lt;concatenate, shape=(1729, 1, 256, 272), dtype=float32, chunksize=(1, 1, 256, 256), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * band     (band) int32 1\n",
       "  * y        (y) float64 37.94 37.81 37.69 37.56 ... 6.438 6.312 6.188 6.062\n",
       "  * x        (x) float64 66.06 66.19 66.31 66.44 ... 99.56 99.69 99.81 99.94\n",
       "  * time     (time) datetime64[ns] 2015-04-04 2015-04-05 ... 2020-09-18\n",
       "Attributes:\n",
       "    transform:         (0.125, 0.0, 66.0, 0.0, -0.125, 38.0)\n",
       "    crs:               +init=epsg:4326\n",
       "    res:               (0.125, 0.125)\n",
       "    is_tiled:          1\n",
       "    nodatavals:        (nan,)\n",
       "    scales:            (1.0,)\n",
       "    offsets:           (0.0,)\n",
       "    AREA_OR_POINT:     Area\n",
       "    TIFFTAG_SOFTWARE:  MATLAB 8.3, Mapping Toolbox 4.0.1</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1729</li><li><span class='xr-has-index'>band</span>: 1</li><li><span class='xr-has-index'>y</span>: 256</li><li><span class='xr-has-index'>x</span>: 272</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a0c19e6b-1212-46b0-ae5a-5112d289228c' class='xr-array-in' type='checkbox' checked><label for='section-a0c19e6b-1212-46b0-ae5a-5112d289228c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 1, 256, 256), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 481.57 MB </td> <td> 262.14 kB </td></tr>\n",
       "    <tr><th> Shape </th><td> (1729, 1, 256, 272) </td> <td> (1, 1, 256, 256) </td></tr>\n",
       "    <tr><th> Count </th><td> 12103 Tasks </td><td> 3458 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
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       "</tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-13294b8f-c947-4629-905c-9c8e8551ee6a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-13294b8f-c947-4629-905c-9c8e8551ee6a' 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'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-2e35a8b4-5430-4af8-a88e-0b650e5b0896' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2e35a8b4-5430-4af8-a88e-0b650e5b0896' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cbf82b8-49d3-4da3-b17e-89c2eb518932' class='xr-var-data-in' type='checkbox'><label for='data-6cbf82b8-49d3-4da3-b17e-89c2eb518932' 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([1])</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'>37.94 37.81 37.69 ... 6.188 6.062</div><input id='attrs-064171a5-233c-4ecc-a442-dc7080feabdd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-064171a5-233c-4ecc-a442-dc7080feabdd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3fa6071-cfc0-4a06-ae3f-7ea4584bc7f3' class='xr-var-data-in' type='checkbox'><label for='data-f3fa6071-cfc0-4a06-ae3f-7ea4584bc7f3' 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([37.9375, 37.8125, 37.6875, ...,  6.3125,  6.1875,  6.0625])</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'>66.06 66.19 66.31 ... 99.81 99.94</div><input id='attrs-e8bcb2f8-8d0e-4045-9ba3-48336cc50e8b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e8bcb2f8-8d0e-4045-9ba3-48336cc50e8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ed29115-3a92-42fd-a071-f51f36fd910d' class='xr-var-data-in' type='checkbox'><label for='data-1ed29115-3a92-42fd-a071-f51f36fd910d' 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([66.0625, 66.1875, 66.3125, ..., 99.6875, 99.8125, 99.9375])</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'>2015-04-04 ... 2020-09-18</div><input id='attrs-44950604-89c6-4f13-ae92-dee1f9479ac1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-44950604-89c6-4f13-ae92-dee1f9479ac1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e01e2f10-6b41-4ab1-8fce-99a8cffc4493' class='xr-var-data-in' type='checkbox'><label for='data-e01e2f10-6b41-4ab1-8fce-99a8cffc4493' 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;2015-04-04T00:00:00.000000000&#x27;, &#x27;2015-04-05T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-04-06T00:00:00.000000000&#x27;, ..., &#x27;2020-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2020-09-17T00:00:00.000000000&#x27;, &#x27;2020-09-18T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-27f28cd6-3836-41a2-8665-882a54a7b05b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-27f28cd6-3836-41a2-8665-882a54a7b05b' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>transform :</span></dt><dd>(0.125, 0.0, 66.0, 0.0, -0.125, 38.0)</dd><dt><span>crs :</span></dt><dd>+init=epsg:4326</dd><dt><span>res :</span></dt><dd>(0.125, 0.125)</dd><dt><span>is_tiled :</span></dt><dd>1</dd><dt><span>nodatavals :</span></dt><dd>(nan,)</dd><dt><span>scales :</span></dt><dd>(1.0,)</dd><dt><span>offsets :</span></dt><dd>(0.0,)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_SOFTWARE :</span></dt><dd>MATLAB 8.3, Mapping Toolbox 4.0.1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (time: 1729, band: 1, y: 256, x: 272)>\n",
       "dask.array<concatenate, shape=(1729, 1, 256, 272), dtype=float32, chunksize=(1, 1, 256, 256), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * band     (band) int32 1\n",
       "  * y        (y) float64 37.94 37.81 37.69 37.56 ... 6.438 6.312 6.188 6.062\n",
       "  * x        (x) float64 66.06 66.19 66.31 66.44 ... 99.56 99.69 99.81 99.94\n",
       "  * time     (time) datetime64[ns] 2015-04-04 2015-04-05 ... 2020-09-18\n",
       "Attributes:\n",
       "    transform:         (0.125, 0.0, 66.0, 0.0, -0.125, 38.0)\n",
       "    crs:               +init=epsg:4326\n",
       "    res:               (0.125, 0.125)\n",
       "    is_tiled:          1\n",
       "    nodatavals:        (nan,)\n",
       "    scales:            (1.0,)\n",
       "    offsets:           (0.0,)\n",
       "    AREA_OR_POINT:     Area\n",
       "    TIFFTAG_SOFTWARE:  MATLAB 8.3, Mapping Toolbox 4.0.1"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "da"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x222390fa0a0>]"
      ]
     },
     "execution_count": 71,
     "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": [
    "ts = da.isel(x=76, y=23)\n",
    "ts.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "import gdal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function osgeo.gdal.TranslateOptions(options=None, format=None, outputType=0, bandList=None, maskBand=None, width=0, height=0, widthPct=0.0, heightPct=0.0, xRes=0.0, yRes=0.0, creationOptions=None, srcWin=None, projWin=None, projWinSRS=None, strict=False, unscale=False, scaleParams=None, exponents=None, outputBounds=None, metadataOptions=None, outputSRS=None, nogcp=False, GCPs=None, noData=None, rgbExpand=None, stats=False, rat=True, resampleAlg=None, callback=None, callback_data=None)>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdal.TranslateOptions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "tif_file = \"../Data/Soil Moisture/smap_smi_stack.tif\"\n",
    "out_filename = \"../Data/Soil Moisture/smap_smi_stack.nc\"\n",
    "# Input Raster File\n",
    "smi_raster = gdal.Open(tif_file)\n",
    "# Save Multiband Raster as a NetCDF \n",
    "gdal.Translate(out_filename, smi_raster)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "import rioxarray as rxr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "smi = xr.open_dataset(out_filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2225af6a5e0>"
      ]
     },
     "execution_count": 78,
     "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": [
    "smi.Band1.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "smi_raster = xr.open_rasterio('../Data/Soil Moisture/smap_smi_stack.tif')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "# https://rasterio.readthedocs.io/en/latest/topics/masking-by-shapefile.html\n",
    "\n",
    "import fiona\n",
    "import rasterio.mask\n",
    "\n",
    "with fiona.open(\"../Data/Bandipur Shapefile/Bandipur.shp\", \"r\") as shapefile:\n",
    "    shapes = [feature[\"geometry\"] for feature in shapefile]\n",
    "\n",
    "with rasterio.open(\"../Data/Soil Moisture/smap_smi_stack.tif\") as src:\n",
    "    out_image, out_transform = rasterio.mask.mask(src, shapes, crop=True)\n",
    "    out_meta = src.meta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopandas as gpd\n",
    "shp = gpd.read_file(\"../Data/Bandipur Shapefile/Bandipur.shp\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Shapefile Crop Extent')"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the crop boundary layer\n",
    "fig, ax = plt.subplots(figsize=(6, 6))\n",
    "\n",
    "shp.plot(ax=ax)\n",
    "\n",
    "ax.set_title(\"Shapefile Crop Extent\",\n",
    "             fontsize=16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "raster = rasterio.open(tif_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "raster_crop = es.crop_image(raster, shp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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39/4k+zd47jezcQd6UwIzAACjWGIlY6kEZgAARjHVwOynsQEAYIAJMwAAo5jqhFlgBgBgYd2d8+fPb/c23hcqGQAAMMCEGQCAUahkAADAgKkGZpUMAAAYYMIMAMAopjphFpgBABiFwAwAAJvo7skGZh1mAAAYYMIMAMAopjphFpgBABjFVAOzSgYAAAwwYQYAYBRTnTALzAAAjGKqgVklAwAABpgwAwCwsO7O+fPnt3sb7wuBGQCAUUy1kiEwAwAwiqkGZh1mAAAYYMIMAMAopjphFpgBAFhYd082MKtkAADAABNmAABGMdUJs8AMAMAophqYVTIAAGCACTMAAKOY6oRZYAYAYBRTDcwqGQAAMMCEGQCAhU35PcwCMwAAoxCYAQBgwPnz57d7C+8LHWYAABhgwgwAwChUMgAAYBNT/tKfSgYAAAwQmAEAGMXFKfOin62oqr1V9UpVnaiqhza4fm9VvTD7HKmqm+euPV5Vb1XVV7eylsAMAMAolhWYq2pXkkeS7Evy0SSfrKqPrrvt9SR3dPdNSX45ycG5a/82yd6t/ncJzAAA7DS3JjnR3a9197tJnkhy9/wN3X2ku0/PDp9Lsmfu2m8k+dZWF/OlPwAARjHil/52V9WxueOD3T0/Ib4mycm547Uktw38e/cneeq9bkZgBgBgFCMG5lPdfcvA9dpo+Q1vrLozFwLz7e91MwIzAAALW/Jr5daSXDt3vCfJm+tvqqqbkjyWZF93v/1eF9NhBgBgpzma5MaquqGqrkxyT5JD8zdU1XVJnkxyX3e/ushiJswAAIxiWRPm7j5XVQ8meTrJriSPd/fxqnpgdv1AkoeTXJ3k0apKknMXax5V9R+S/GwudKXXkvzj7v7MZusJzAAAjGKZv/TX3YeTHF537sDc3/uT7N/k2U9ezloqGQAAMMCEGQCAUSxzwrxMAjMAAKOYamBWyQAAgAEmzAAALGzJ72FeKoEZAIBRTDUwq2QAAMAAE2YAAEYx1QmzwAwAwCgEZgAAGDDVwKzDDAAAA0yYAQBYmNfKAQDAJUw1MKtkAADAABNmAABGMdUJs8AMAMAophqYVTIAAGCACTMAAKOY6oRZYAYAYGFeKwcAAJcw1cCswwwAAANMmAEAGMVUJ8wCMwAAo5hqYFbJAACAASbMAAAsrLtz/vz57d7G+0JgBgBgFCoZAACwgkyYAQAYxVQnzAIzAACjmGpgVskAAIABJswAAIxiqhNmgRkAgIV1t8AMAABDBOYkZ86cybPPPvt+7YV1nnnmme3ewko5ffr0dm9hpVxxxRXbvYWV8v3vf3+7t7BSzp49u91bWClT/bEMPjhMmAEAGIUJMwAADJhqYPZaOQAAGGDCDADAwrp7sn1yE2YAAEZx8dVyi362oqr2VtUrVXWiqh7a4Pq9VfXC7HOkqm7e6rPrCcwAAOwoVbUrySNJ9iX5aJJPVtVH1932epI7uvumJL+c5OBlPPtDVDIAABjFEisZtyY50d2vJUlVPZHk7iQvXryhu4/M3f9ckj1bfXY9gRkAgIWN/Et/u6vq2Nzxwe4+OHd8TZKTc8drSW4b+PfuT/LUe3xWYAYAYBwjTphPdfctA9drg3MbpvWqujMXAvPtl/vsRQIzAAA7zVqSa+eO9yR5c/1NVXVTkseS7Ovuty/n2Xm+9AcAwCiW+JaMo0lurKobqurKJPckOTR/Q1Vdl+TJJPd196uX8+x6JswAAIxiWb/0193nqurBJE8n2ZXk8e4+XlUPzK4fSPJwkquTPFpVSXKuu2/Z7Nmh9QRmAAB2nO4+nOTwunMH5v7en2T/Vp8dIjADALCwKf/Sn8AMAMAollXJWDZf+gMAgAEmzAAAjEIlAwAANjHyL/19oKhkAADAABNmAABGMdUJs8AMAMAodJgBAGDAVCfMOswAADDAhBkAgIX5pT8AALgElQwAAFhBJswAAIxiqhNmgRkAgIVNucOskgEAAANMmAEAGIVKBgAADJhqJUNgBgBgFFOdMOswAwDAABNmAAAWNuW3ZAjMAACMQiUDAABWkAkzAACjmOqEWWAGAGBhU+4wq2QAAMAAE2YAAEahkgEAAANUMgAAYAWZMAMAMAqVDAAA2ER3C8wAADBEhxkAAFaQCTMAAKNQyQAAgAFTDcwqGQAAMMCEGQCAhXlLBgAAXMJUA7NKBgAAO05V7a2qV6rqRFU9tMH1P1FV/7Oq3qmqv7/u2qer6qtVdbyqfvFSa5kwAwAwimW9h7mqdiV5JMldSdaSHK2qQ9394txt30ryd5P85XXP/lSSv5nk1iTvJvlcVf3n7v4/m61nwgwAwCgu9pgX/WzBrUlOdPdr3f1ukieS3L1uL29199Ek31/37J9M8lx3f6e7zyX570n+ytBiAjMAAAsbKyzPAvPuqjo29/nUuuWuSXJy7nhtdm4rvprkE1V1dVX9aJKfS3Lt0AMqGQAAfNCc6u5bBq7XBue2NJru7peq6p8n+XySM0m+kuTc0DMmzAAAjGKJlYy1/PBUeE+SNy9jn5/p7p/u7k/kQtd50/5yYsIMAMBIlvhauaNJbqyqG5K8keSeJL+w1Yer6ie6+62qui7JX03yM0P3C8wAAOwo3X2uqh5M8nSSXUke7+7jVfXA7PqBqvojSY4l+XCS87PXx320u38/ya9X1dW58IXAv93dp4fWE5gBABjFMn+4pLsPJzm87tyBub9/NxeqGhs9+2cuZy2BGQCAhXX30t7DvGy+9AcAAANMmAEAGMUyKxnLJDADADAKgRkAAAZMNTDrMAMAwAATZgAARjHVCbPADADAwi7jZ613HJUMAAAYYMIMAMAopvrDJQIzAACjUMkAAIAVZMIMAMAopjphFpgBAFiYt2QAAMCKMmEGAGAUU50wC8wAAIxCYAYAgAFTfQ+zDjMAAAwwYQYAYGFTfkuGwAwAwCimGphVMgAAYIAJMwAAo5jqhFlgBgBgFFMNzCoZAAAwwIQZAIBRTHXCLDADALCw7p7sD5cIzAAAjGKqE2YdZgAAGGDCDADAKKY6YRaYAQAYxVQDc13Of1hVfTPJb79/2wEA4APu+u7+yPqTVfW5JLtHWuNUd+8d6d9a2GUFZgAAWDW+9AcAAAMEZgAAGCAwAwDAAIEZAAAGCMwAADBAYAYAgAECMwAADBCYAQBggMAMAAAD/h9UhehwMgIqVAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ep.plot_bands(raster_crop[0][0])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Resources - Geospatial Libraries for Python\n",
    "\n",
    "* https://github.com/giswqs/python-geospatial\n",
    "* Google Search - installing geospatial libraries python\n",
    "\n",
    "\n",
    "##### Geotiffs to NetCDF using GDAL Translate\n",
    "* https://gdal.org/python/osgeo.gdal-module.html#TranslateOptions\n",
    "* https://gis.stackexchange.com/questions/352643/gdal-translate-in-python-where-do-i-find-how-to-convert-the-command-line-argum\n",
    "* https://gis.stackexchange.com/questions/199570/how-to-prepare-tiffs-to-create-a-netcdf-file\n",
    "\n",
    "##### Raster Masking - AOI Extraction\n",
    "* https://www.earthdatascience.org/courses/use-data-open-source-python/intro-raster-data-python/raster-data-processing/crop-raster-data-with-shapefile-in-python/\n",
    "* https://mygeoblog.com/2019/06/25/mask-netcdf-using-shp-file/\n",
    "* https://corteva.github.io/rioxarray/stable/examples/clip_geom.html\n",
    "* https://gis.stackexchange.com/questions/289775/masking-netcdf-data-using-shapefile-xarray-geopandas\n",
    "\n",
    "##### Raster Resampling using GDAL/Rasterio\n",
    "* https://stackoverflow.com/questions/62988817/resample-image-rasterio-gdal-python\n",
    "\n",
    "\n",
    "##### Data Visualisation - Plot Rasters \n",
    "* https://automating-gis-processes.github.io/CSC18/lessons/L6/plotting-raster.html\n",
    "\n",
    "##### Batch Downloading Sentinel Data\n",
    "* http://un-spider.org/links-and-resources/data-sources/batch-download-sentinel\n",
    "\n",
    "\n",
    "##### Xarray Fundamentals\n",
    "* https://rabernat.github.io/research_computing_2018/xarray.html\n",
    "* http://xarray.pydata.org/en/stable/plotting.html\n",
    "\n",
    "#### Remote Sensing Introductory Tutorials\n",
    "* https://www.earthdatascience.org/courses/use-data-open-source-python/multispectral-remote-sensing/landsat-in-Python/\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:geo-env] *",
   "language": "python",
   "name": "conda-env-geo-env-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}