Built site for gh-pages

.nojekyll

@@ -1 +1 @@
-55bec81a
+e443c1af

external/IS2_cloud_Landsat_integration.html

@@ -621,7 +621,7 @@ <h1 class="title">ICESat-2 and Landsat in the cloud</h1>
 
 </header>
 
-<p>imported on: <strong>2023-12-20</strong></p>
+<p>imported on: <strong>2024-01-12</strong></p>
 <p>
 This notebook was originally developed by CryoCloud and NSIDC.
 </p>
@@ -631,8 +631,8 @@ <h1 class="title">ICESat-2 and Landsat in the cloud</h1>
 <section id="icesat-2-and-landsat-cloud-access-and-data-integration" class="level1">
 <h1>ICESat-2 and Landsat cloud access and data integration</h1>
 <p>This notebook ({nb-download}<code>download &lt;IS2_cloud_data_integration.ipynb&gt;</code>) builds off of the icepyx <a href="https://icepyx.readthedocs.io/en/latest/example_notebooks/IS2_cloud_data_access.html">IS2_cloud_data_access.ipynb</a> and <a href="https://icesat-2.hackweek.io/tutorials/DataIntegration/dataintegration-1.html">ICESat-2 Hackweek Data Integration 1</a> tutorials. It illustrates the use of icepyx for accessing ICESat-2 data currently available through the AWS (Amazon Web Services) us-west2 hub s3 data bucket as well as data integration with Landsat (cloud-optimized geotiff) and ATM (downloaded csv) datasets.</p>
-<p><code>flqmmaopjjeg Learning Objectives **Goals** - Identify and locate ICESat-2 and Landsat data - Acquire data from the cloud - Open data in `pandas` and `xarray` and basic functioning of DataFrames</code></p>
-<p><code>flqmmaopjjeg Key Takeaway By the end of this tutorial, you will be able to visualize Landsat Cloud Optimized Geotiffs with ICESat-2 and ATM data.</code></p>
+<p><code>tjijmpnuqxeg Learning Objectives **Goals** - Identify and locate ICESat-2 and Landsat data - Acquire data from the cloud - Open data in `pandas` and `xarray` and basic functioning of DataFrames</code></p>
+<p><code>tjijmpnuqxeg Key Takeaway By the end of this tutorial, you will be able to visualize Landsat Cloud Optimized Geotiffs with ICESat-2 and ATM data.</code></p>
 <section id="notes" class="level2">
 <h2 class="anchored" data-anchor-id="notes">Notes</h2>
 <ol type="1">

external/appeears_csv_cloud_access.html

@@ -605,7 +605,7 @@ <h1 class="title">How to work with AppEEARS CSV outputs in the cloud.</h1>
 
 </header>
 
-<p>imported on: <strong>2023-12-20</strong></p>
+<p>imported on: <strong>2024-01-12</strong></p>
 <p>
 This notebook was originally developed by LP DAAC to show how to work with AppEEARS CSV outputs directly in the cloud.
 </p>

index.html

@@ -7,7 +7,7 @@
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 
 <meta name="author" content="NASA Openscapes Team">
-<meta name="dcterms.date" content="2023-12-20">
+<meta name="dcterms.date" content="2024-01-12">
 
 <title>EarthData Cloud Cookbook - NASA Earthdata Cloud Cookbook</title>
 <style>
@@ -566,7 +566,7 @@ <h1 class="title">NASA Earthdata Cloud Cookbook</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">December 20, 2023</p>
+      <p class="date">January 12, 2024</p>
     </div>
   </div>
 

our-cookbook.html

@@ -542,6 +542,7 @@ <h2 id="toc-title">On this page</h2>
   <li><a href="#bash-git" id="toc-bash-git" class="nav-link" data-scroll-target="#bash-git">Bash &amp; Git</a></li>
   <li><a href="#python" id="toc-python" class="nav-link" data-scroll-target="#python">Python</a></li>
   <li><a href="#r" id="toc-r" class="nav-link" data-scroll-target="#r">R</a></li>
+  <li><a href="#cloud-native-geospatial-formats-guide" id="toc-cloud-native-geospatial-formats-guide" class="nav-link" data-scroll-target="#cloud-native-geospatial-formats-guide">Cloud-Native Geospatial Formats Guide</a></li>
   </ul></li>
   </ul>
 <div class="toc-actions"><div><i class="bi bi-github"></i></div><div class="action-links"><p><a href="https://github.com/nasa-openscapes/earthdata-cloud-cookbook/edit/main/our-cookbook.qmd" class="toc-action">Edit this page</a></p><p><a href="https://github.com/nasa-openscapes/earthdata-cloud-cookbook/blob/main/our-cookbook.qmd" class="toc-action">View source</a></p><p><a href="https://github.com/nasa-openscapes/earthdata-cloud-cookbook/issues/new" class="toc-action">Report an issue</a></p></div></div></nav>
@@ -606,6 +607,10 @@ <h3 class="anchored" data-anchor-id="r">R</h3>
 <li><p><a href="https://rstudio-conf-2020.github.io/r-for-excel/"><strong>R for Excel Users</strong></a> This course is a friendly intro to becoming a modern R user, full of tidyverse, RMarkdown, GitHub, collaboration, and reproducibility.</p></li>
 <li><p><a href="https://r4ds.hadley.nz/"><strong>R for Data Science</strong></a> This book will teach you how to do data science with R, including how to get your data into R, get it into the most useful structure, transform it, and visualize.</p></li>
 </ul>
+</section>
+<section id="cloud-native-geospatial-formats-guide" class="level3">
+<h3 class="anchored" data-anchor-id="cloud-native-geospatial-formats-guide"><a href="https://guide.cloudnativegeo.org/">Cloud-Native Geospatial Formats Guide</a></h3>
+<p>If you are wondering “why cloud?” and / or wish to learn more about cloud-native geospatial formats, please visit https://guide.cloudnativegeo.org/.</p>
 <p><em>For advanced coding guidance, see our How To’s, Tutorials, and Appendix.</em></p>
 
 

search.json

@@ -585,7 +585,7 @@
     "href": "our-cookbook.html#get-started",
     "title": "Our Cookbook",
     "section": "Get Started",
-    "text": "Get Started\nSo, you want to get started working with NASA Earthdata in the cloud? You’ve come to the right place. Here you’ll find resources that can be considered precursors to the how to’s, tutorials, and other guidance you will find across our Cookbook.\n\nEarthdata Login\nTo access NASA Earthdata, whether through your web browser or the cloud, you must first register for an Earthdata Login (EDL) user profile. Once registered, you can use your login credentials to get data through multiple access points. Read about EDL and get registered by following the directions on the Welcome to Earthdata Login page.\n\n\nCoding Essentials\nTo access the cloud programmatically we must have a basic understanding of how to code using common, cloud-relevant languages. Most scientists who work with Earth data use either Python or R already, so we focus on those languages. Python and R are both open-source programming languages widely used in web applications, software development, data science, and machine learning. They are popular because they are free, efficient, have online resources to learn, and can run on most platforms. If you are new to coding, we recommend you participate in a Carpentries Workshop or use open-source resources to teach yourself.\n\n\nBash & Git\nCloud services often are connected to and operated through Bash, a command-line interface and language you’ll see called the terminal, the command line, or the shell. Git is a commonly used version control system that is accessible through Bash. Version control is important for data collaboration because it allows changes by multiple people to be tracked and merged into one source.\n\nThe Unix Shell These lessons will introduce you the shell, a fundamental tool for performing a wide range of computing tasks.\nVersion Control with Git This tutorial will introduce you to Git, a popular open source distributed version control system.\n\n\n\nPython\n\nThe Python Tutorial This tutorial introduces the reader informally to the basic concepts and features of the Python language and system.\nPythia Foundations This book is intended to educate the reader on the essentials for using the Scientific Python Ecosystem (SPE): a collection of open source Python packages that support analysis, manipulation, and visualization of scientific data.\n\n\n\nR\n\nR for Excel Users This course is a friendly intro to becoming a modern R user, full of tidyverse, RMarkdown, GitHub, collaboration, and reproducibility.\nR for Data Science This book will teach you how to do data science with R, including how to get your data into R, get it into the most useful structure, transform it, and visualize.\n\nFor advanced coding guidance, see our How To’s, Tutorials, and Appendix."
+    "text": "Get Started\nSo, you want to get started working with NASA Earthdata in the cloud? You’ve come to the right place. Here you’ll find resources that can be considered precursors to the how to’s, tutorials, and other guidance you will find across our Cookbook.\n\nEarthdata Login\nTo access NASA Earthdata, whether through your web browser or the cloud, you must first register for an Earthdata Login (EDL) user profile. Once registered, you can use your login credentials to get data through multiple access points. Read about EDL and get registered by following the directions on the Welcome to Earthdata Login page.\n\n\nCoding Essentials\nTo access the cloud programmatically we must have a basic understanding of how to code using common, cloud-relevant languages. Most scientists who work with Earth data use either Python or R already, so we focus on those languages. Python and R are both open-source programming languages widely used in web applications, software development, data science, and machine learning. They are popular because they are free, efficient, have online resources to learn, and can run on most platforms. If you are new to coding, we recommend you participate in a Carpentries Workshop or use open-source resources to teach yourself.\n\n\nBash & Git\nCloud services often are connected to and operated through Bash, a command-line interface and language you’ll see called the terminal, the command line, or the shell. Git is a commonly used version control system that is accessible through Bash. Version control is important for data collaboration because it allows changes by multiple people to be tracked and merged into one source.\n\nThe Unix Shell These lessons will introduce you the shell, a fundamental tool for performing a wide range of computing tasks.\nVersion Control with Git This tutorial will introduce you to Git, a popular open source distributed version control system.\n\n\n\nPython\n\nThe Python Tutorial This tutorial introduces the reader informally to the basic concepts and features of the Python language and system.\nPythia Foundations This book is intended to educate the reader on the essentials for using the Scientific Python Ecosystem (SPE): a collection of open source Python packages that support analysis, manipulation, and visualization of scientific data.\n\n\n\nR\n\nR for Excel Users This course is a friendly intro to becoming a modern R user, full of tidyverse, RMarkdown, GitHub, collaboration, and reproducibility.\nR for Data Science This book will teach you how to do data science with R, including how to get your data into R, get it into the most useful structure, transform it, and visualize.\n\n\n\nCloud-Native Geospatial Formats Guide\nIf you are wondering “why cloud?” and / or wish to learn more about cloud-native geospatial formats, please visit https://guide.cloudnativegeo.org/.\nFor advanced coding guidance, see our How To’s, Tutorials, and Appendix."
   },
   {
     "objectID": "tutorials/matlab.html",
@@ -1061,7 +1061,7 @@
     "href": "external/IS2_cloud_Landsat_integration.html",
     "title": "ICESat-2 and Landsat in the cloud",
     "section": "",
-    "text": "imported on: 2023-12-20\nThis notebook was originally developed by CryoCloud and NSIDC."
+    "text": "imported on: 2024-01-12\nThis notebook was originally developed by CryoCloud and NSIDC."
   },
   {
     "objectID": "external/IS2_cloud_Landsat_integration.html#notes",
@@ -2055,7 +2055,7 @@
     "href": "external/appeears_csv_cloud_access.html",
     "title": "How to work with AppEEARS CSV outputs in the cloud.",
     "section": "",
-    "text": "imported on: 2023-12-20\nThis notebook was originally developed by LP DAAC to show how to work with AppEEARS CSV outputs directly in the cloud."
+    "text": "imported on: 2024-01-12\nThis notebook was originally developed by LP DAAC to show how to work with AppEEARS CSV outputs directly in the cloud."
   },
   {
     "objectID": "external/appeears_csv_cloud_access.html#setting-up",