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<h1> <a id="change-detection-with-google-earth-engine-imagery" class="anchor" href="#change-detection-with-google-earth-engine-imagery" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Change Detection with Google Earth Engine Imagery</h1>
<p>A simple Flask web application for performing change detection tasks with <a href="https://developers.google.com/earth-engine/" rel="nofollow">Google Earth Engine</a> imagery.</p>
<p>The <a href="http://ms-image-analysis.appspot.com/static/index.html" rel="nofollow">AppEngine version</a> (web version) is for demonstration only and has very limited functionality. Exporting results to Google Drive or to Earth Engine assets is in particular not possible.</p>
<p>The local version runs in a Docker container serving the Flask web application on <strong>localhost:5000</strong>. Assuming you have been authenticated (see below) to the Earth Engine, you can carry out the following tasks:</p>
<ol>
<li> <p>Run the iMAD (iteratively re-weighted MAD) algorithm on Landsat 5, 7, 8 and Sentinel-2 optical/infrared bitemporal imagery.</p> <a href="http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=4695" rel="nofollow"> A. A. Nielsen (2007). The Regularized Iteratively Reweighted MAD Method for Change Detection in Multi- and Hyperspectral Data.</a> <p><a href="http://www.amazon.com/Analysis-Classification-Change-Detection-Sensing/dp/1466570377/ref=dp_ob_title_bk" rel="nofollow"> M. J.Canty (2014). Image Analysis, Classification and Change Detection in Remote Sensing, 3rd Ed., CRC Press 2014</a>;</p> </li>
<li> <p>Perform automatic radiometric normalization of a sequence full optical/infrared scenes.</p> <a href="http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=5362" rel="nofollow"> M. J. Canty and A. A. Nielsen (2008). Automatic Radiometric Normalization of Multitemporal Satellite Imagery with the Iteratively Re-weighted MAD Transformation.</a> </li>
<li> <p>Run the (sequential) omnibus algorithm on polarimetric SAR multitemporal data on Sentinel-1 dual pol, diagonal only, or single pol images.</p> <a href="http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=6825" rel="nofollow"> K. Conradsen et al. (2016). Determining the points of change in time series of polarimetric SAR data. IEEE TGRS 54 (5) 3007-3024.</a> </li>
<li> <p>Perform principal components analysis in visual/infrared full scenes.</p> </li>
<li> <p>Export imagery to your Earth Engine assets folder or to Google Drive for off-line local processing, for example with <a href="http://mortcanty.github.io/SARDocker/" rel="nofollow"> SARDocker</a>.</p> </li>
</ol>
<h3> <a id="installation-and-execution" class="anchor" href="#installation-and-execution" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Installation and execution</h3>
<ol>
<li> <p>Install <a href="https://docs.docker.com/" rel="nofollow">Docker</a></p> </li>
<li> <p>In a command window execute the command</p> <pre><code>docker run -it -p 5000:5000 --name=ee mort/eedocker
</code></pre> <p>or, if you are on a Raspberry Pi</p> <pre><code>docker run -it -p 5000:5000 --name=ee mort/rpi-eedocker
</code></pre> </li>
<li> <p>If the container is not found it will be automatically downloaded from Dockerhub and started. At the container prompt execute the command</p> <pre><code>earthengine authenticate
</code></pre> <p>and follow the instructions. You will have to copy the given URL and paste it into your local browser.</p> </li>
<li> <p>After successful authentication the credentials are saved to the container. Now run the command</p> <pre><code>./app.py
</code></pre> <p>and point your browser to</p> <pre><code>localhost:5000
</code></pre> <p>to start work.</p> </li>
<li> <p>When finished, hit</p> <pre><code>Ctrl C
</code></pre> <p>in the command window to stop the Flask application server and</p> <pre><code>exit
</code></pre> <p>to leave the container. The container will then stop.</p> </li>
<li> <p>Re-start and enter the container with</p> <pre><code>docker start -ai ee
</code></pre> </li>
<li> <p>Run the command</p> <pre><code>./app.py
</code></pre> <p>to re-start the server.</p> </li>
</ol>
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