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Ollie Ballinger
2022-11-17 09:26:50 +00:00
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_book/ch1.html
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@@ -261,7 +261,8 @@ ul.task-list li input[type="checkbox"] {
</header>
<p>One of the main advantages of GEE is that it hosts several Petabytes of satellite imagery and other spatial data sets, <a href="https://developers.google.com/earth-engine/datasets">all in one place</a>. Among these are a many that could prove useful to those investigating illegal mining and logging, estimating conflict-induced damage, monitoring pollution from extractive industries, conducting maritime surveillance without relying on ship transponders, verifying the locations of artillery strikes, tracking missile defense systems, and many other topics. This section highlights ten categories of geospatial data available natively in the GEE catalogue ranging from optical satellite imagery, to atmospheric data, to building footprints. Each sub-section provides an overview of the given data type, suggests potential applications, and lists the corresponding datasets in the GEE catalogue. The datasets listed under each heading are <strong>not</strong> an exhaustive list– there are over 500 in the whole catalogue, and the ones listed in this section are simply the ones with the most immediate relevance to open source investigations. If a particular geospatial dataset you want to work with isn’t hosted in the GEE catalog, you can upload your own data. We’ll cover that in the next section.</p>
<p>One of the main advantages of GEE is that it hosts several Petabytes of satellite imagery and other spatial data sets, <a href="https://developers.google.com/earth-engine/datasets">all in one place</a>. Among these are a many that could prove useful to those investigating illegal mining and logging, estimating conflict-induced damage, monitoring pollution from extractive industries, conducting maritime surveillance without relying on ship transponders, verifying the locations of artillery strikes, tracking missile defense systems, and many other topics.</p>
<p>This section highlights ten categories of geospatial data available natively in the GEE catalogue ranging from optical satellite imagery, to atmospheric data, to building footprints. Each sub-section provides an overview of the given data type, suggests potential applications, and lists the corresponding datasets in the GEE catalogue. The datasets listed under each heading are <strong>not</strong> an exhaustive list– there are over 500 in the whole catalogue, and the ones listed in this section are simply the ones with the most immediate relevance to open source investigations. If a particular geospatial dataset you want to work with isn’t hosted in the GEE catalog, you can upload your own data. We’ll cover that in the next section.</p>
<section id="optical-imagery" class="level2" data-number="1.1">
<h2 data-number="1.1" class="anchored" data-anchor-id="optical-imagery"><span class="header-section-number">1.1</span> Optical Imagery</h2>
<div class="quarto-figure quarto-figure-center">

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_book/ch4.html
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@@ -38,11 +38,11 @@ ul.task-list li input[type="checkbox"] {
<script src="site_libs/quarto-html/anchor.min.js"></script>
<link href="site_libs/quarto-html/tippy.css" rel="stylesheet">
<link href="site_libs/quarto-html/quarto-syntax-highlighting.css" rel="stylesheet" class="quarto-color-scheme" id="quarto-text-highlighting-styles">
<link href="site_libs/quarto-html/quarto-syntax-highlighting-dark.css" rel="prefetch" class="quarto-color-scheme quarto-color-alternate" id="quarto-text-highlighting-styles">
<link href="site_libs/quarto-html/quarto-syntax-highlighting-dark.css" rel="stylesheet" class="quarto-color-scheme quarto-color-alternate" id="quarto-text-highlighting-styles">
<script src="site_libs/bootstrap/bootstrap.min.js"></script>
<link href="site_libs/bootstrap/bootstrap-icons.css" rel="stylesheet">
<link href="site_libs/bootstrap/bootstrap.min.css" rel="stylesheet" class="quarto-color-scheme" id="quarto-bootstrap" data-mode="light">
<link href="site_libs/bootstrap/bootstrap-dark.min.css" rel="prefetch" class="quarto-color-scheme quarto-color-alternate" id="quarto-bootstrap" data-mode="dark">
<link href="site_libs/bootstrap/bootstrap-dark.min.css" rel="stylesheet" class="quarto-color-scheme quarto-color-alternate" id="quarto-bootstrap" data-mode="dark">
<script id="quarto-search-options" type="application/json">{
"location": "sidebar",
"copy-button": false,
@@ -85,7 +85,7 @@ ul.task-list li input[type="checkbox"] {
<nav id="quarto-sidebar" class="sidebar collapse sidebar-navigation floating overflow-auto">
<div class="pt-lg-2 mt-2 text-left sidebar-header sidebar-header-stacked">
<a href="./" class="sidebar-logo-link">
<img src="./logo_black.png" alt="" class="sidebar-logo py-0 d-lg-inline d-none">
<img src="./logo_white.png" alt="" class="sidebar-logo py-0 d-lg-inline d-none">
</a>
<div class="sidebar-title mb-0 py-0">
<a href="./">Google Earth Engine for OSINT</a>
@@ -134,7 +134,7 @@ ul.task-list li input[type="checkbox"] {
<ul class="list-unstyled mt-1">
<li class="sidebar-item">
<div class="sidebar-item-container">
<a href="./index.html" class="sidebar-item-text sidebar-link">Preface</a>
<a href="./index.html" class="sidebar-item-text sidebar-link">Introduction</a>
</div>
</li>
<li class="sidebar-item">
@@ -161,6 +161,16 @@ ul.task-list li input[type="checkbox"] {
<div class="sidebar-item-container">
<a href="./ch5.html" class="sidebar-item-text sidebar-link"><span class="chapter-number">5</span>&nbsp; <span class="chapter-title">Case Studies</span></a>
</div>
</li>
<li class="sidebar-item">
<div class="sidebar-item-container">
<a href="./SyriaNTL.html" class="sidebar-item-text sidebar-link">War at Night</a>
</div>
</li>
<li class="sidebar-item">
<div class="sidebar-item-container">
<a href="./RojavaRefineries.html" class="sidebar-item-text sidebar-link">Refinery Detection</a>
</div>
</li>
<li class="sidebar-item">
<div class="sidebar-item-container">
@@ -306,7 +316,7 @@ window.document.addEventListener("DOMContentLoaded", function (event) {
return localAlternateSentinel;
}
}
let localAlternateSentinel = 'default';
let localAlternateSentinel = 'alternate';
// Dark / light mode switch
window.quartoToggleColorScheme = () => {
// Read the current dark / light value

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_book/ch5.html
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@@ -166,6 +166,11 @@ ul.task-list li input[type="checkbox"] {
<div class="sidebar-item-container">
<a href="./SyriaNTL.html" class="sidebar-item-text sidebar-link">War at Night</a>
</div>
</li>
<li class="sidebar-item">
<div class="sidebar-item-container">
<a href="./RojavaRefineries.html" class="sidebar-item-text sidebar-link">Refinery Detection</a>
</div>
</li>
<li class="sidebar-item">
<div class="sidebar-item-container">

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_book/search.json
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@@ -32,7 +32,7 @@
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"text": "One of the main advantages of GEE is that it hosts several Petabytes of satellite imagery and other spatial data sets, all in one place. Among these are a many that could prove useful to those investigating illegal mining and logging, estimating conflict-induced damage, monitoring pollution from extractive industries, conducting maritime surveillance without relying on ship transponders, verifying the locations of artillery strikes, tracking missile defense systems, and many other topics. This section highlights ten categories of geospatial data available natively in the GEE catalogue ranging from optical satellite imagery, to atmospheric data, to building footprints. Each sub-section provides an overview of the given data type, suggests potential applications, and lists the corresponding datasets in the GEE catalogue. The datasets listed under each heading are not an exhaustive list– there are over 500 in the whole catalogue, and the ones listed in this section are simply the ones with the most immediate relevance to open source investigations. If a particular geospatial dataset you want to work with isn’t hosted in the GEE catalog, you can upload your own data. We’ll cover that in the next section."
"text": "One of the main advantages of GEE is that it hosts several Petabytes of satellite imagery and other spatial data sets, all in one place. Among these are a many that could prove useful to those investigating illegal mining and logging, estimating conflict-induced damage, monitoring pollution from extractive industries, conducting maritime surveillance without relying on ship transponders, verifying the locations of artillery strikes, tracking missile defense systems, and many other topics.\nThis section highlights ten categories of geospatial data available natively in the GEE catalogue ranging from optical satellite imagery, to atmospheric data, to building footprints. Each sub-section provides an overview of the given data type, suggests potential applications, and lists the corresponding datasets in the GEE catalogue. The datasets listed under each heading are not an exhaustive list– there are over 500 in the whole catalogue, and the ones listed in this section are simply the ones with the most immediate relevance to open source investigations. If a particular geospatial dataset you want to work with isn’t hosted in the GEE catalog, you can upload your own data. We’ll cover that in the next section."
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