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   "id": "0cdbad31",
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   "source": [
    "# Access Sentinel 2 Analysis Ready Data from Digital Earth Africa\n",
    "\n",
    "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/opendatacube/odc-stac/develop?labpath=notebooks%2Fstac-load-S2-deafrica.ipynb)\n",
    "\n",
    "https://explorer.digitalearth.africa/products/s2_l2a"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fea2d058",
   "metadata": {},
   "source": [
    "## Import Required Packages"
   ]
  },
  {
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   "execution_count": 1,
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   "source": [
    "from pystac_client import Client\n",
    "\n",
    "from odc.stac import configure_rio, stac_load"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54f02751",
   "metadata": {},
   "source": [
    "## Set Collection Configuration\n",
    "\n",
    "The configuration dictionary is determined from the product's definition, available at https://explorer.digitalearth.africa/products/s2_l2a#definition-doc\n",
    "\n",
    "All assets except SCL have the same configuration. SCL uses `uint8` rather than `uint16`.\n",
    "\n",
    "In the configuration, we also supply the aliases for each band. This means we can load data by band name rather than band number."
   ]
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   "source": [
    "config = {\n",
    "    \"s2_l2a\": {\n",
    "        \"assets\": {\n",
    "            \"*\": {\n",
    "                \"data_type\": \"uint16\",\n",
    "                \"nodata\": 0,\n",
    "                \"unit\": \"1\",\n",
    "            },\n",
    "            \"SCL\": {\n",
    "                \"data_type\": \"uint8\",\n",
    "                \"nodata\": 0,\n",
    "                \"unit\": \"1\",\n",
    "            },\n",
    "        },\n",
    "        \"aliases\": {\n",
    "            \"costal_aerosol\": \"B01\",\n",
    "            \"blue\": \"B02\",\n",
    "            \"green\": \"B03\",\n",
    "            \"red\": \"B04\",\n",
    "            \"red_edge_1\": \"B05\",\n",
    "            \"red_edge_2\": \"B06\",\n",
    "            \"red_edge_3\": \"B07\",\n",
    "            \"nir\": \"B08\",\n",
    "            \"nir_narrow\": \"B08A\",\n",
    "            \"water_vapour\": \"B09\",\n",
    "            \"swir_1\": \"B11\",\n",
    "            \"swir_2\": \"B12\",\n",
    "            \"mask\": \"SCL\",\n",
    "            \"aerosol_optical_thickness\": \"AOT\",\n",
    "            \"scene_average_water_vapour\": \"WVP\",\n",
    "        },\n",
    "    }\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e825aee",
   "metadata": {},
   "source": [
    "## Set AWS Configuration\n",
    "\n",
    "Digital Earth Africa data is stored on S3 in Cape Town, Africa. To load the data, we must configure rasterio with the appropriate AWS S3 endpoint. This can be done with the `odc.stac.configure_rio` function. Documentation for this function is available at https://odc-stac.readthedocs.io/en/latest/_api/odc.stac.configure_rio.html#odc.stac.configure_rio.\n",
    "\n",
    "The configuration below must be used when loading any Digital Earth Africa data through the STAC API."
   ]
  },
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   "execution_count": 3,
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   "source": [
    "configure_rio(\n",
    "    cloud_defaults=True,\n",
    "    aws={\"aws_unsigned\": True},\n",
    "    AWS_S3_ENDPOINT=\"s3.af-south-1.amazonaws.com\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "053aa34d",
   "metadata": {},
   "source": [
    "## Connect to the Digital Earth Africa STAC Catalog"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0e9ee469",
   "metadata": {
    "execution": {
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   "source": [
    "# Open the stac catalogue\n",
    "catalog = Client.open(\"https://explorer.digitalearth.africa/stac\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb614d8a",
   "metadata": {},
   "source": [
    "## Find STAC Items to Load\n",
    "\n",
    "### Define query parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9b7a6208",
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    "execution": {
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    "# Set a bounding box\n",
    "# [xmin, ymin, xmax, ymax] in latitude and longitude\n",
    "bbox = [37.76, 12.49, 37.77, 12.50]\n",
    "\n",
    "# Set a start and end date\n",
    "start_date = \"2020-09-01\"\n",
    "end_date = \"2020-12-01\"\n",
    "\n",
    "# Set the STAC collections\n",
    "collections = [\"s2_l2a\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "557e370a",
   "metadata": {},
   "source": [
    "### Construct query and get items from catalog"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "94aaae3d",
   "metadata": {
    "execution": {
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found: 34 datasets\n"
     ]
    }
   ],
   "source": [
    "# Build a query with the set parameters\n",
    "query = catalog.search(\n",
    "    bbox=bbox, collections=collections, datetime=f\"{start_date}/{end_date}\"\n",
    ")\n",
    "\n",
    "# Search the STAC catalog for all items matching the query\n",
    "items = list(query.items())\n",
    "print(f\"Found: {len(items):d} datasets\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96742f43",
   "metadata": {},
   "source": [
    "## Load the Data\n",
    "\n",
    "In this step, we specify the desired coordinate system, resolution (here 20m), and bands to load. We also pass the bounding box to the `stac_load` function to only load the requested data. Since the band aliases are contained in the `config` dictionary, bands can be loaded using these aliaes (e.g. `\"red\"` instead of `\"B04\"` below).\n",
    "\n",
    "The data will be lazy-loaded with dask, meaning that is won't be loaded into memory until necessary, such as when it is displayed."
   ]
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       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "  border-color: var(--xr-background-color-row-even);\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-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\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",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-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",
       ".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",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 421kB\n",
       "Dimensions:      (y: 63, x: 49, time: 17)\n",
       "Coordinates:\n",
       "  * y            (y) float64 504B 1.582e+06 1.582e+06 ... 1.581e+06 1.581e+06\n",
       "  * x            (x) float64 392B 3.643e+06 3.643e+06 ... 3.644e+06 3.644e+06\n",
       "    spatial_ref  int32 4B 6933\n",
       "  * time         (time) datetime64[ns] 136B 2020-09-03T08:06:43 ... 2020-11-2...\n",
       "Data variables:\n",
       "    red          (time, y, x) uint16 105kB dask.array&lt;chunksize=(1, 63, 49), meta=np.ndarray&gt;\n",
       "    green        (time, y, x) uint16 105kB dask.array&lt;chunksize=(1, 63, 49), meta=np.ndarray&gt;\n",
       "    blue         (time, y, x) uint16 105kB dask.array&lt;chunksize=(1, 63, 49), meta=np.ndarray&gt;\n",
       "    nir          (time, y, x) uint16 105kB dask.array&lt;chunksize=(1, 63, 49), meta=np.ndarray&gt;</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-2c929822-ffe6-49cb-a2e9-f4809c22e446' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2c929822-ffe6-49cb-a2e9-f4809c22e446' 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'>y</span>: 63</li><li><span class='xr-has-index'>x</span>: 49</li><li><span class='xr-has-index'>time</span>: 17</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d271fd52-9665-4a60-a890-4c969b60db63' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d271fd52-9665-4a60-a890-4c969b60db63' 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'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.582e+06 1.582e+06 ... 1.581e+06</div><input id='attrs-6a9951fa-d5fa-46ac-ad25-3e4389e68444' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a9951fa-d5fa-46ac-ad25-3e4389e68444' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb1e6e68-9f41-4146-9b35-4f6a084ca0f8' class='xr-var-data-in' type='checkbox'><label for='data-cb1e6e68-9f41-4146-9b35-4f6a084ca0f8' 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><dt><span>resolution :</span></dt><dd>-20.0</dd><dt><span>crs :</span></dt><dd>EPSG:6933</dd></dl></div><div class='xr-var-data'><pre>array([1582370., 1582350., 1582330., 1582310., 1582290., 1582270., 1582250.,\n",
       "       1582230., 1582210., 1582190., 1582170., 1582150., 1582130., 1582110.,\n",
       "       1582090., 1582070., 1582050., 1582030., 1582010., 1581990., 1581970.,\n",
       "       1581950., 1581930., 1581910., 1581890., 1581870., 1581850., 1581830.,\n",
       "       1581810., 1581790., 1581770., 1581750., 1581730., 1581710., 1581690.,\n",
       "       1581670., 1581650., 1581630., 1581610., 1581590., 1581570., 1581550.,\n",
       "       1581530., 1581510., 1581490., 1581470., 1581450., 1581430., 1581410.,\n",
       "       1581390., 1581370., 1581350., 1581330., 1581310., 1581290., 1581270.,\n",
       "       1581250., 1581230., 1581210., 1581190., 1581170., 1581150., 1581130.])</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'>3.643e+06 3.643e+06 ... 3.644e+06</div><input id='attrs-57a23793-ed6b-4a42-83f9-6a775e0da6fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57a23793-ed6b-4a42-83f9-6a775e0da6fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5f94a10-e02e-4be9-9cd2-1d0b46cb43d0' class='xr-var-data-in' type='checkbox'><label for='data-b5f94a10-e02e-4be9-9cd2-1d0b46cb43d0' 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><dt><span>resolution :</span></dt><dd>20.0</dd><dt><span>crs :</span></dt><dd>EPSG:6933</dd></dl></div><div class='xr-var-data'><pre>array([3643330., 3643350., 3643370., 3643390., 3643410., 3643430., 3643450.,\n",
       "       3643470., 3643490., 3643510., 3643530., 3643550., 3643570., 3643590.,\n",
       "       3643610., 3643630., 3643650., 3643670., 3643690., 3643710., 3643730.,\n",
       "       3643750., 3643770., 3643790., 3643810., 3643830., 3643850., 3643870.,\n",
       "       3643890., 3643910., 3643930., 3643950., 3643970., 3643990., 3644010.,\n",
       "       3644030., 3644050., 3644070., 3644090., 3644110., 3644130., 3644150.,\n",
       "       3644170., 3644190., 3644210., 3644230., 3644250., 3644270., 3644290.])</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'>int32</div><div class='xr-var-preview xr-preview'>6933</div><input id='attrs-3ca18cdd-be17-4763-898c-bd94afcfe90c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ca18cdd-be17-4763-898c-bd94afcfe90c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4456eea-4aa3-4cde-98ae-322ef8fafe8b' class='xr-var-data-in' type='checkbox'><label for='data-f4456eea-4aa3-4cde-98ae-322ef8fafe8b' 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>PROJCRS[&quot;WGS 84 / NSIDC EASE-Grid 2.0 Global&quot;,BASEGEOGCRS[&quot;WGS 84&quot;,ENSEMBLE[&quot;World Geodetic System 1984 ensemble&quot;,MEMBER[&quot;World Geodetic System 1984 (Transit)&quot;],MEMBER[&quot;World Geodetic System 1984 (G730)&quot;],MEMBER[&quot;World Geodetic System 1984 (G873)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1150)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1674)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1762)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2139)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2296)&quot;],ELLIPSOID[&quot;WGS 84&quot;,6378137,298.257223563,LENGTHUNIT[&quot;metre&quot;,1]],ENSEMBLEACCURACY[2.0]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433]],ID[&quot;EPSG&quot;,4326]],CONVERSION[&quot;US NSIDC EASE-Grid 2.0 Global&quot;,METHOD[&quot;Lambert Cylindrical Equal Area&quot;,ID[&quot;EPSG&quot;,9835]],PARAMETER[&quot;Latitude of 1st standard parallel&quot;,30,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8823]],PARAMETER[&quot;Longitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8802]],PARAMETER[&quot;False easting&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8806]],PARAMETER[&quot;False northing&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8807]]],CS[Cartesian,2],AXIS[&quot;easting (X)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1]],AXIS[&quot;northing (Y)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1]],USAGE[SCOPE[&quot;Environmental science - used as basis for EASE grid.&quot;],AREA[&quot;World between 86°S and 86°N.&quot;],BBOX[-86,-180,86,180]],ID[&quot;EPSG&quot;,6933]]</dd><dt><span>crs_wkt :</span></dt><dd>PROJCRS[&quot;WGS 84 / NSIDC EASE-Grid 2.0 Global&quot;,BASEGEOGCRS[&quot;WGS 84&quot;,ENSEMBLE[&quot;World Geodetic System 1984 ensemble&quot;,MEMBER[&quot;World Geodetic System 1984 (Transit)&quot;],MEMBER[&quot;World Geodetic System 1984 (G730)&quot;],MEMBER[&quot;World Geodetic System 1984 (G873)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1150)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1674)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1762)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2139)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2296)&quot;],ELLIPSOID[&quot;WGS 84&quot;,6378137,298.257223563,LENGTHUNIT[&quot;metre&quot;,1]],ENSEMBLEACCURACY[2.0]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433]],ID[&quot;EPSG&quot;,4326]],CONVERSION[&quot;US NSIDC EASE-Grid 2.0 Global&quot;,METHOD[&quot;Lambert Cylindrical Equal Area&quot;,ID[&quot;EPSG&quot;,9835]],PARAMETER[&quot;Latitude of 1st standard parallel&quot;,30,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8823]],PARAMETER[&quot;Longitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8802]],PARAMETER[&quot;False easting&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8806]],PARAMETER[&quot;False northing&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8807]]],CS[Cartesian,2],AXIS[&quot;easting (X)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1]],AXIS[&quot;northing (Y)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1]],USAGE[SCOPE[&quot;Environmental science - used as basis for EASE grid.&quot;],AREA[&quot;World between 86°S and 86°N.&quot;],BBOX[-86,-180,86,180]],ID[&quot;EPSG&quot;,6933]]</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 ensemble</dd><dt><span>projected_crs_name :</span></dt><dd>WGS 84 / NSIDC EASE-Grid 2.0 Global</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_cylindrical_equal_area</dd><dt><span>standard_parallel :</span></dt><dd>30.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>0.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>GeoTransform :</span></dt><dd>3643320 20 0 1582380 0 -20</dd></dl></div><div class='xr-var-data'><pre>array(6933, dtype=int32)</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'>2020-09-03T08:06:43 ... 2020-11-...</div><input id='attrs-bf498b8b-b4c1-4054-a3b2-3d547841a0b4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bf498b8b-b4c1-4054-a3b2-3d547841a0b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f41a656-b66b-4a01-aac7-d262c55b79c3' class='xr-var-data-in' type='checkbox'><label for='data-4f41a656-b66b-4a01-aac7-d262c55b79c3' 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;2020-09-03T08:06:43.000000000&#x27;, &#x27;2020-09-08T08:06:42.000000000&#x27;,\n",
       "       &#x27;2020-09-13T08:06:43.000000000&#x27;, &#x27;2020-09-18T08:06:41.000000000&#x27;,\n",
       "       &#x27;2020-09-23T08:06:44.000000000&#x27;, &#x27;2020-09-28T08:06:42.000000000&#x27;,\n",
       "       &#x27;2020-10-03T08:06:45.000000000&#x27;, &#x27;2020-10-08T08:06:43.000000000&#x27;,\n",
       "       &#x27;2020-10-13T08:06:45.000000000&#x27;, &#x27;2020-10-18T08:06:43.000000000&#x27;,\n",
       "       &#x27;2020-10-23T08:06:44.000000000&#x27;, &#x27;2020-10-28T08:06:42.000000000&#x27;,\n",
       "       &#x27;2020-11-02T08:06:44.000000000&#x27;, &#x27;2020-11-07T08:06:41.000000000&#x27;,\n",
       "       &#x27;2020-11-12T08:06:43.000000000&#x27;, &#x27;2020-11-22T08:06:41.000000000&#x27;,\n",
       "       &#x27;2020-11-27T08:06:39.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6a89fdec-aed0-46e3-884c-e4bad1f4f4dc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a89fdec-aed0-46e3-884c-e4bad1f4f4dc' class='xr-section-summary' >Data variables: <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>red</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'>dask.array&lt;chunksize=(1, 63, 49), meta=np.ndarray&gt;</div><input id='attrs-7c52f893-2547-4a9d-ad2a-9fe2034ea251' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c52f893-2547-4a9d-ad2a-9fe2034ea251' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44774e6e-a5be-40dc-abff-86f147b3f2db' class='xr-var-data-in' type='checkbox'><label for='data-44774e6e-a5be-40dc-abff-86f147b3f2db' 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>nodata :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 102.50 kiB </td>\n",
       "                        <td> 6.03 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (17, 63, 49) </td>\n",
       "                        <td> (1, 63, 49) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 17 chunks in 3 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
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       "                        <th> Bytes </th>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nir</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'>dask.array&lt;chunksize=(1, 63, 49), meta=np.ndarray&gt;</div><input id='attrs-dc64a215-a1e3-4f8e-9dcd-047a9b27f0fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc64a215-a1e3-4f8e-9dcd-047a9b27f0fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9afbd414-5528-4b88-b18a-cea27ce0d18b' class='xr-var-data-in' type='checkbox'><label for='data-9afbd414-5528-4b88-b18a-cea27ce0d18b' 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>nodata :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 102.50 kiB </td>\n",
       "                        <td> 6.03 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (17, 63, 49) </td>\n",
       "                        <td> (1, 63, 49) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 17 chunks in 3 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-da4a6b5c-d9f3-4c1f-a663-70b9ffa94cb1' class='xr-section-summary-in' type='checkbox'  ><label for='section-da4a6b5c-d9f3-4c1f-a663-70b9ffa94cb1' 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>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-b1dcc0ed-4ed9-4778-950e-12c6b53f4eb9' class='xr-index-data-in' type='checkbox'/><label for='index-b1dcc0ed-4ed9-4778-950e-12c6b53f4eb9' 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([1582370.0, 1582350.0, 1582330.0, 1582310.0, 1582290.0, 1582270.0,\n",
       "       1582250.0, 1582230.0, 1582210.0, 1582190.0, 1582170.0, 1582150.0,\n",
       "       1582130.0, 1582110.0, 1582090.0, 1582070.0, 1582050.0, 1582030.0,\n",
       "       1582010.0, 1581990.0, 1581970.0, 1581950.0, 1581930.0, 1581910.0,\n",
       "       1581890.0, 1581870.0, 1581850.0, 1581830.0, 1581810.0, 1581790.0,\n",
       "       1581770.0, 1581750.0, 1581730.0, 1581710.0, 1581690.0, 1581670.0,\n",
       "       1581650.0, 1581630.0, 1581610.0, 1581590.0, 1581570.0, 1581550.0,\n",
       "       1581530.0, 1581510.0, 1581490.0, 1581470.0, 1581450.0, 1581430.0,\n",
       "       1581410.0, 1581390.0, 1581370.0, 1581350.0, 1581330.0, 1581310.0,\n",
       "       1581290.0, 1581270.0, 1581250.0, 1581230.0, 1581210.0, 1581190.0,\n",
       "       1581170.0, 1581150.0, 1581130.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;))</pre></div></li><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-804f2c9f-e6ab-412f-9a55-26a08bbdf0d2' class='xr-index-data-in' type='checkbox'/><label for='index-804f2c9f-e6ab-412f-9a55-26a08bbdf0d2' 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([3643330.0, 3643350.0, 3643370.0, 3643390.0, 3643410.0, 3643430.0,\n",
       "       3643450.0, 3643470.0, 3643490.0, 3643510.0, 3643530.0, 3643550.0,\n",
       "       3643570.0, 3643590.0, 3643610.0, 3643630.0, 3643650.0, 3643670.0,\n",
       "       3643690.0, 3643710.0, 3643730.0, 3643750.0, 3643770.0, 3643790.0,\n",
       "       3643810.0, 3643830.0, 3643850.0, 3643870.0, 3643890.0, 3643910.0,\n",
       "       3643930.0, 3643950.0, 3643970.0, 3643990.0, 3644010.0, 3644030.0,\n",
       "       3644050.0, 3644070.0, 3644090.0, 3644110.0, 3644130.0, 3644150.0,\n",
       "       3644170.0, 3644190.0, 3644210.0, 3644230.0, 3644250.0, 3644270.0,\n",
       "       3644290.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#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-410453ba-cf4c-45eb-b7ad-32f88bb549be' class='xr-index-data-in' type='checkbox'/><label for='index-410453ba-cf4c-45eb-b7ad-32f88bb549be' 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;2020-09-03 08:06:43&#x27;, &#x27;2020-09-08 08:06:42&#x27;,\n",
       "               &#x27;2020-09-13 08:06:43&#x27;, &#x27;2020-09-18 08:06:41&#x27;,\n",
       "               &#x27;2020-09-23 08:06:44&#x27;, &#x27;2020-09-28 08:06:42&#x27;,\n",
       "               &#x27;2020-10-03 08:06:45&#x27;, &#x27;2020-10-08 08:06:43&#x27;,\n",
       "               &#x27;2020-10-13 08:06:45&#x27;, &#x27;2020-10-18 08:06:43&#x27;,\n",
       "               &#x27;2020-10-23 08:06:44&#x27;, &#x27;2020-10-28 08:06:42&#x27;,\n",
       "               &#x27;2020-11-02 08:06:44&#x27;, &#x27;2020-11-07 08:06:41&#x27;,\n",
       "               &#x27;2020-11-12 08:06:43&#x27;, &#x27;2020-11-22 08:06:41&#x27;,\n",
       "               &#x27;2020-11-27 08:06:39&#x27;],\n",
       "              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-57509195-0108-490f-89d5-f8a4540c2ed6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-57509195-0108-490f-89d5-f8a4540c2ed6' 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> Size: 421kB\n",
       "Dimensions:      (y: 63, x: 49, time: 17)\n",
       "Coordinates:\n",
       "  * y            (y) float64 504B 1.582e+06 1.582e+06 ... 1.581e+06 1.581e+06\n",
       "  * x            (x) float64 392B 3.643e+06 3.643e+06 ... 3.644e+06 3.644e+06\n",
       "    spatial_ref  int32 4B 6933\n",
       "  * time         (time) datetime64[ns] 136B 2020-09-03T08:06:43 ... 2020-11-2...\n",
       "Data variables:\n",
       "    red          (time, y, x) uint16 105kB dask.array<chunksize=(1, 63, 49), meta=np.ndarray>\n",
       "    green        (time, y, x) uint16 105kB dask.array<chunksize=(1, 63, 49), meta=np.ndarray>\n",
       "    blue         (time, y, x) uint16 105kB dask.array<chunksize=(1, 63, 49), meta=np.ndarray>\n",
       "    nir          (time, y, x) uint16 105kB dask.array<chunksize=(1, 63, 49), meta=np.ndarray>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crs = \"EPSG:6933\"\n",
    "resolution = 20\n",
    "\n",
    "ds = stac_load(\n",
    "    items,\n",
    "    bands=(\"red\", \"green\", \"blue\", \"nir\"),\n",
    "    crs=crs,\n",
    "    resolution=resolution,\n",
    "    chunks={},\n",
    "    groupby=\"solar_day\",\n",
    "    stac_cfg=config,\n",
    "    bbox=bbox,\n",
    ")\n",
    "\n",
    "# View the Xarray Dataset\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33ef8993",
   "metadata": {},
   "source": [
    "### Compute a band index\n",
    "\n",
    "After loading the data, you can perform standard Xarray operations, such as calculating and plotting the normalised difference vegetation index (NDVI). The `.compute()` method triggers Dask to load the data into memory, so running this step may take a few minutes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9701d242",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-23T22:58:51.239156Z",
     "iopub.status.busy": "2025-11-23T22:58:51.238984Z",
     "iopub.status.idle": "2025-11-23T22:59:11.005669Z",
     "shell.execute_reply": "2025-11-23T22:59:11.004744Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7fcdbe8edc60>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1900x900 with 19 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds[\"NDVI\"] = (ds.nir - ds.red) / (ds.nir + ds.red)\n",
    "\n",
    "\n",
    "ds.NDVI.compute().plot(col=\"time\", col_wrap=6, vmin=0, vmax=1)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.8.12 64-bit ('stac': conda)",
   "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": "3.10.19"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}