Update documentation

Author: spatialthoughts

_sources/notebooks/xarray_processing_satellite_images.ipynb

@@ -29,10 +29,10 @@
         "\n",
         "## Part-1: Processing Sentinel-2 L1C Data\n",
         "\n",
-        "In this section, we will take a single Sentinel-2 L1C scene downloaded from the [Copernicus Browser](https://dataspace.copernicus.eu/) and learn how to read it using XArray, visualize it and compute spectral indices.\n",
+        "In this section, we will take a single Sentinel-2 L1C scene and learn how to read it using XArray, visualize it and compute spectral indices.\n",
         "\n",
         "**Input Layers**:\n",
-        "* `S2A_MSIL1C_20230212T050931_N0509_R019_T43PGQ_20230212T065641.SAFE.zip`: A Sentinel-2 L1C scene.\n",
+        "* `S2A_MSIL1C_20230212T050931_N0509_R019_T43PGQ_20230212T065641.SAFE.zip`: A Sentinel-2 L1C scene downloaded from the [Copernicus Browser](https://dataspace.copernicus.eu/).\n",
         "* `bangalore.geojson`: A GeoJSON file representing the municipal boundary for the city of Bengaluru, India.\n",
         "\n",
         "**Output**:\n",
@@ -726,10 +726,10 @@
         "\n",
         "## Part-2: Processing Landsat-8 Data\n",
         "\n",
-        "In this section, we will take a single Landsat 8 scene downloaded from the [USGS EarthExplorer](https://earthexplorer.usgs.gov/) and learn how to read it using XArray, visualize it and mask clouds.\n",
+        "In this section, we will take a single Landsat 8 scene and learn how to read it using XArray, visualize it and mask clouds.\n",
         "\n",
         "**Input Layers**:\n",
-        "* `LC08_L2SP_144052_20190209_20200829_02_T1.zip`: A Landsat 8 scene.\n",
+        "* `LC08_L2SP_144052_20190209_20200829_02_T1.zip`: A Landsat 8 scene downloaded from the [USGS EarthExplorer](https://earthexplorer.usgs.gov/).\n",
         "\n",
         "**Output Layers**:\n",
         "* `landsat_masked.tif`: Cloud-masked RGB composite of Landsat-8.\n",

notebooks/xarray_processing_satellite_images.html

@@ -491,10 +491,10 @@ <h1>Processing Satellite Images with XArray<a class="headerlink" href="#processi
 <p>The tutorial is divided into 2 parts showing how to work with Sentinel-2 and Landsat-8 scenes.</p>
 <section id="part-1-processing-sentinel-2-l1c-data">
 <h2>Part-1: Processing Sentinel-2 L1C Data<a class="headerlink" href="#part-1-processing-sentinel-2-l1c-data" title="Link to this heading">#</a></h2>
-<p>In this section, we will take a single Sentinel-2 L1C scene downloaded from the <a class="reference external" href="https://dataspace.copernicus.eu/">Copernicus Browser</a> and learn how to read it using XArray, visualize it and compute spectral indices.</p>
+<p>In this section, we will take a single Sentinel-2 L1C scene and learn how to read it using XArray, visualize it and compute spectral indices.</p>
 <p><strong>Input Layers</strong>:</p>
 <ul class="simple">
-<li><p><code class="docutils literal notranslate"><span class="pre">S2A_MSIL1C_20230212T050931_N0509_R019_T43PGQ_20230212T065641.SAFE.zip</span></code>: A Sentinel-2 L1C scene.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">S2A_MSIL1C_20230212T050931_N0509_R019_T43PGQ_20230212T065641.SAFE.zip</span></code>: A Sentinel-2 L1C scene downloaded from the <a class="reference external" href="https://dataspace.copernicus.eu/">Copernicus Browser</a>.</p></li>
 <li><p><code class="docutils literal notranslate"><span class="pre">bangalore.geojson</span></code>: A GeoJSON file representing the municipal boundary for the city of Bengaluru, India.</p></li>
 </ul>
 <p><strong>Output</strong>:</p>
@@ -863,10 +863,10 @@ <h3>Saving the results<a class="headerlink" href="#saving-the-results" title="Li
 </section>
 <section id="part-2-processing-landsat-8-data">
 <h2>Part-2: Processing Landsat-8 Data<a class="headerlink" href="#part-2-processing-landsat-8-data" title="Link to this heading">#</a></h2>
-<p>In this section, we will take a single Landsat 8 scene downloaded from the <a class="reference external" href="https://earthexplorer.usgs.gov/">USGS EarthExplorer</a> and learn how to read it using XArray, visualize it and mask clouds.</p>
+<p>In this section, we will take a single Landsat 8 scene and learn how to read it using XArray, visualize it and mask clouds.</p>
 <p><strong>Input Layers</strong>:</p>
 <ul class="simple">
-<li><p><code class="docutils literal notranslate"><span class="pre">LC08_L2SP_144052_20190209_20200829_02_T1.zip</span></code>: A Landsat 8 scene.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">LC08_L2SP_144052_20190209_20200829_02_T1.zip</span></code>: A Landsat 8 scene downloaded from the <a class="reference external" href="https://earthexplorer.usgs.gov/">USGS EarthExplorer</a>.</p></li>
 </ul>
 <p><strong>Output Layers</strong>:</p>
 <ul class="simple">