deploy: 71a19d3

_sources/ch1_root.md

@@ -4,10 +4,10 @@ The first chapter of this tutorial will demonstrate reading in and organizing Se
 
 ## Data processed and downloaded from Alaska Satellite Facility
 
-The first [notebook](asf_local_vrt.ipynb) (GDAL VRT approach) demonstrates working with data that was processed by Alaska Satellite Facility through their [Hyp3 On-Demand service](https://hyp3-docs.asf.alaska.edu/v2-transition/). The processed data is then downloaded locally. This notebook shows one approach for working with that data once downloaded locally.
+The first [notebook](asf_local_vrt.ipynb) (*GDAL VRT approach*) demonstrates working with data that was processed by Alaska Satellite Facility through their [Hyp3 On-Demand service](https://hyp3-docs.asf.alaska.edu/v2-transition/) and downloaded locally. 
 
-The second [notebook](asf_inspect.ipynb) (ASF-processed RTC data inspection) shows preliminary dataset inspection of the ASF dataset once it has been read in and organized.
+The second [notebook](asf_inspect.ipynb) (*ASF-processed RTC data inspection*) shows preliminary dataset inspection of the ASF dataset once it has been read in and organized.
 
 ## Data processed and accessed from Microsoft Planetary Computer
 
-This [notebook](PC_RTC.ipynb) (Microsoft Planetary Computer Sentinel-1 RTC Imagery) demonstrates accessing data from Microsoft Planetary Computer's catalog. Microsoft Planetary Computer performs RTC processing of Sentinel-1 imagery similarly to ASF. It is then made available as cloud-optimized GeoTIFFs and hosted on Microsoft Planetary Computer. This notebook demonstrates using STAC tools such as `pystac` and `stackstac` to access the cloud-hosted data locally. Microsoft Planetary Computer also hosts a jupyter hub server, which you could use instead of working with the data locally. Microsoft Planetary Computer requires a subscription (which is currently free). You can find out more about getting access [here](https://planetarycomputer.developer.azure-api.net/).
+This [notebook](PC_RTC.ipynb) (*Microsoft Planetary Computer Sentinel-1 RTC Imagery*) demonstrates accessing data from Microsoft Planetary Computer's catalog. Microsoft Planetary Computer performs RTC processing of Sentinel-1 imagery similarly to ASF. It is then made available as cloud-optimized GeoTIFFs and hosted on Microsoft Planetary Computer. This notebook demonstrates using STAC tools such as `pystac` and `stackstac` to access the cloud-hosted data locally. Microsoft Planetary Computer also hosts a jupyter hub server, which you could use instead of working with the data locally. Microsoft Planetary Computer requires a subscription (which is currently free). You can find out more about getting access [here](https://planetarycomputer.developer.azure-api.net/).

_sources/intro.md

@@ -1,6 +1,6 @@
 # Introduction 
 
-This tutorial will demonstrate various ways to access, process, and work with Sentinel-1 Synthetic Aperture Radar (SAR) Radiometrically Terrain Corrected (RTC) imagery using the python package and open source project [xarray](https://docs.xarray.dev/en/stable/#), and a number of other open source software packages. These notebooks are designed to show examples of data access, manipulation, processing, and exploratory analytical workflows with complex datasets as well as to demonstrate common functionality for working with multi-dimensional gridded data using xarray.
+This tutorial will demonstrate various ways to access, process, and work with Sentinel-1 Synthetic Aperture Radar (SAR) Radiometrically Terrain Corrected (RTC) imagery using the python package and open source project [xarray](https://docs.xarray.dev/en/stable/#), and a number of other open-source software packages. These notebooks are designed to show examples of data access, manipulation, processing, and exploratory analytical workflows with complex datasets and demonstrate common functionality for working with multi-dimensional gridded data using xarray.
 
 # Overview
 

ch1_root.html

@@ -373,12 +373,12 @@ <h1>Data cleaning and organization<a class="headerlink" href="#data-cleaning-and
 <p>The first chapter of this tutorial will demonstrate reading in and organizing Sentinel-1 RTC imagery processed by and accessed from two different sources.</p>
 <section id="data-processed-and-downloaded-from-alaska-satellite-facility">
 <h2>Data processed and downloaded from Alaska Satellite Facility<a class="headerlink" href="#data-processed-and-downloaded-from-alaska-satellite-facility" title="Permalink to this heading">#</a></h2>
-<p>The first <a class="reference internal" href="asf_local_vrt.html"><span class="doc std std-doc">notebook</span></a> (GDAL VRT approach) demonstrates working with data that was processed by Alaska Satellite Facility through their <a class="reference external" href="https://hyp3-docs.asf.alaska.edu/v2-transition/">Hyp3 On-Demand service</a>. The processed data is then downloaded locally. This notebook shows one approach for working with that data once downloaded locally.</p>
-<p>The second <a class="reference internal" href="asf_inspect.html"><span class="doc std std-doc">notebook</span></a> (ASF-processed RTC data inspection) shows preliminary dataset inspection of the ASF dataset once it has been read in and organized.</p>
+<p>The first <a class="reference internal" href="asf_local_vrt.html"><span class="doc std std-doc">notebook</span></a> (<em>GDAL VRT approach</em>) demonstrates working with data that was processed by Alaska Satellite Facility through their <a class="reference external" href="https://hyp3-docs.asf.alaska.edu/v2-transition/">Hyp3 On-Demand service</a> and downloaded locally.</p>
+<p>The second <a class="reference internal" href="asf_inspect.html"><span class="doc std std-doc">notebook</span></a> (<em>ASF-processed RTC data inspection</em>) shows preliminary dataset inspection of the ASF dataset once it has been read in and organized.</p>
 </section>
 <section id="data-processed-and-accessed-from-microsoft-planetary-computer">
 <h2>Data processed and accessed from Microsoft Planetary Computer<a class="headerlink" href="#data-processed-and-accessed-from-microsoft-planetary-computer" title="Permalink to this heading">#</a></h2>
-<p>This <a class="reference internal" href="PC_RTC.html"><span class="doc std std-doc">notebook</span></a> (Microsoft Planetary Computer Sentinel-1 RTC Imagery) demonstrates accessing data from Microsoft Planetary Computer’s catalog. Microsoft Planetary Computer performs RTC processing of Sentinel-1 imagery similarly to ASF. It is then made available as cloud-optimized GeoTIFFs and hosted on Microsoft Planetary Computer. This notebook demonstrates using STAC tools such as <code class="docutils literal notranslate"><span class="pre">pystac</span></code> and <code class="docutils literal notranslate"><span class="pre">stackstac</span></code> to access the cloud-hosted data locally. Microsoft Planetary Computer also hosts a jupyter hub server, which you could use instead of working with the data locally. Microsoft Planetary Computer requires a subscription (which is currently free). You can find out more about getting access <a class="reference external" href="https://planetarycomputer.developer.azure-api.net/">here</a>.</p>
+<p>This <a class="reference internal" href="PC_RTC.html"><span class="doc std std-doc">notebook</span></a> (<em>Microsoft Planetary Computer Sentinel-1 RTC Imagery</em>) demonstrates accessing data from Microsoft Planetary Computer’s catalog. Microsoft Planetary Computer performs RTC processing of Sentinel-1 imagery similarly to ASF. It is then made available as cloud-optimized GeoTIFFs and hosted on Microsoft Planetary Computer. This notebook demonstrates using STAC tools such as <code class="docutils literal notranslate"><span class="pre">pystac</span></code> and <code class="docutils literal notranslate"><span class="pre">stackstac</span></code> to access the cloud-hosted data locally. Microsoft Planetary Computer also hosts a jupyter hub server, which you could use instead of working with the data locally. Microsoft Planetary Computer requires a subscription (which is currently free). You can find out more about getting access <a class="reference external" href="https://planetarycomputer.developer.azure-api.net/">here</a>.</p>
 </section>
 <div class="toctree-wrapper compound">
 </div>

intro.html

@@ -378,7 +378,7 @@ <h2> Contents </h2>
 
   <section class="tex2jax_ignore mathjax_ignore" id="introduction">
 <h1>Introduction<a class="headerlink" href="#introduction" title="Permalink to this heading">#</a></h1>
-<p>This tutorial will demonstrate various ways to access, process, and work with Sentinel-1 Synthetic Aperture Radar (SAR) Radiometrically Terrain Corrected (RTC) imagery using the python package and open source project <a class="reference external" href="https://docs.xarray.dev/en/stable/#">xarray</a>, and a number of other open source software packages. These notebooks are designed to show examples of data access, manipulation, processing, and exploratory analytical workflows with complex datasets as well as to demonstrate common functionality for working with multi-dimensional gridded data using xarray.</p>
+<p>This tutorial will demonstrate various ways to access, process, and work with Sentinel-1 Synthetic Aperture Radar (SAR) Radiometrically Terrain Corrected (RTC) imagery using the python package and open source project <a class="reference external" href="https://docs.xarray.dev/en/stable/#">xarray</a>, and a number of other open-source software packages. These notebooks are designed to show examples of data access, manipulation, processing, and exploratory analytical workflows with complex datasets and demonstrate common functionality for working with multi-dimensional gridded data using xarray.</p>
 </section>
 <section class="tex2jax_ignore mathjax_ignore" id="overview">
 <h1>Overview<a class="headerlink" href="#overview" title="Permalink to this heading">#</a></h1>