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S-1 Observed Flood Extent - Revision history
2026-04-29T15:22:21Z
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Admin at 07:44, 30 July 2021
2021-07-30T07:44:15Z
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Admin at 07:42, 30 July 2021
2021-07-30T07:42:10Z
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Admin at 12:16, 10 March 2021
2021-03-10T12:16:37Z
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Admin: /* Ensemble algorithm */
2021-03-10T12:09:44Z
<p><span dir="auto"><span class="autocomment">Ensemble algorithm</span></span></p>
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</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l11" >Line 11:</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>====<u>Ensemble algorithm</u>====</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>====<u>Ensemble algorithm</u>====</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>The three algorithms(namely, '''[[HASARD]]''', '''[[ALGORITHM2]]''' , and '''[[ALGORITHM3]]''' will run in parallel and have access to the same pre-processed Sentinel-1 input data. <br></div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>The three algorithms (namely, '''[[HASARD]]''', '''[[ALGORITHM2]]''' , and '''[[ALGORITHM3]]''' will run in parallel and have access to the same pre-processed Sentinel-1 input data. <br></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>Next, the three generated flood and water extent maps are systematically combined into a single product (i.e. '''consensus map'''). To generate the combined product, each pixel is attributed the ratio of the number of classifications as flooded to the number of algorithms that were applied:<br></div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>Next, the three generated flood and water extent maps are systematically combined into a single product (i.e. '''consensus map'''). To generate the combined product, each pixel is attributed the ratio of the number of classifications as flooded to the number of algorithms that were applied:<br></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div><u>a number of 1 would mean that all three algorithms agreed on its classification as flooded</u>.<br></div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div><u>a number of 1 would mean that all three algorithms agreed on its classification as flooded</u>.<br></div></td></tr>
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Admin
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Admin at 12:09, 10 March 2021
2021-03-10T12:09:09Z
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>====<u>Ensemble algorithm</u>====</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>====<u>Ensemble algorithm</u>====</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>The three algorithms(namely, <del class="diffchange diffchange-inline">[[</del>'''HASARD'''<del class="diffchange diffchange-inline">]]</del>, <del class="diffchange diffchange-inline">[[</del>'''ALGORITHM2'''<del class="diffchange diffchange-inline">]] </del>, and <del class="diffchange diffchange-inline">[[</del>'''ALGORITHM3'''<del class="diffchange diffchange-inline">]] </del>will run in parallel and have access to the same pre-processed Sentinel-1 input data. <br></div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>The three algorithms(namely, '''<ins class="diffchange diffchange-inline">[[</ins>HASARD<ins class="diffchange diffchange-inline">]]</ins>''', '''<ins class="diffchange diffchange-inline">[[</ins>ALGORITHM2<ins class="diffchange diffchange-inline">]]</ins>''' , and '''<ins class="diffchange diffchange-inline">[[</ins>ALGORITHM3<ins class="diffchange diffchange-inline">]]</ins>''' will run in parallel and have access to the same pre-processed Sentinel-1 input data. <br></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>Next, the three generated flood and water extent maps are systematically combined into a single product (i.e. '''consensus map'''). To generate the combined product, each pixel is attributed the ratio of the number of classifications as flooded to the number of algorithms that were applied:<br></div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>Next, the three generated flood and water extent maps are systematically combined into a single product (i.e. '''consensus map'''). To generate the combined product, each pixel is attributed the ratio of the number of classifications as flooded to the number of algorithms that were applied:<br></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div><u>a number of 1 would mean that all three algorithms agreed on its classification as flooded</u>.<br></div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div><u>a number of 1 would mean that all three algorithms agreed on its classification as flooded</u>.<br></div></td></tr>
</table>
Admin
https://wikisrv.cimafoundation.org/index.php?title=S-1_Observed_Flood_Extent&diff=1268&oldid=prev
Admin at 12:08, 10 March 2021
2021-03-10T12:08:20Z
<p></p>
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<td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 12:08, 10 March 2021</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l11" >Line 11:</td>
<td colspan="2" class="diff-lineno">Line 11:</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>====<u>Ensemble algorithm</u>====</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>====<u>Ensemble algorithm</u>====</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>The three algorithms(namely [[HASARD]], [ALGORITHM2]] , and [[ALGORITHM3]] will run in parallel and have access to the same pre-processed Sentinel-1 input data. Next, the three generated flood and water extent maps are systematically combined into a single product (i.e. <del class="diffchange diffchange-inline">“consensus map”</del>). To generate the combined product, each pixel is attributed the ratio of the number of classifications as flooded to the number of algorithms that were applied<del class="diffchange diffchange-inline">. A </del>number of 1 would mean that all three algorithms agreed on its classification as flooded. The final classification is straightforward and based on a majority decision, i.e. a pixel is accepted as flooded when at least two algorithms classify it as water. As a result, all other pixels of the Sentinel-1 footprint and not included in a pre-computed exclusion mask are classified as unflooded. In the unlikely scenario that one or two algorithms fail to produce a result, the results of a single algorithm will be used to compute the final map. In case of a split decision between two algorithms, preference will be given to the algorithm that produced the highest CSI score during the quality assurance procedure. The <del class="diffchange diffchange-inline">final workflow </del>of the <del class="diffchange diffchange-inline">Sentinel</del>-<del class="diffchange diffchange-inline">1 observed </del>flood and water extent product <del class="diffchange diffchange-inline">generation is presented </del>in <del class="diffchange diffchange-inline">detail in section 1.4</del>.</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>The three algorithms(namely<ins class="diffchange diffchange-inline">, </ins>[[<ins class="diffchange diffchange-inline">'''</ins>HASARD<ins class="diffchange diffchange-inline">'''</ins>]], [<ins class="diffchange diffchange-inline">['''</ins>ALGORITHM2<ins class="diffchange diffchange-inline">'''</ins>]] , and [[<ins class="diffchange diffchange-inline">'''</ins>ALGORITHM3<ins class="diffchange diffchange-inline">'''</ins>]] will run in parallel and have access to the same pre-processed Sentinel-1 input data. <ins class="diffchange diffchange-inline"><br></ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Next, the three generated flood and water extent maps are systematically combined into a single product (i.e. <ins class="diffchange diffchange-inline">'''consensus map'''</ins>). To generate the combined product, each pixel is attributed the ratio of the number of classifications as flooded to the number of algorithms that were applied<ins class="diffchange diffchange-inline">:<br></ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline"><u>a </ins>number of 1 would mean that all three algorithms agreed on its classification as flooded<ins class="diffchange diffchange-inline"></u></ins>.<ins class="diffchange diffchange-inline"><br></ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>The final classification is straightforward and based on a majority decision, i.e. <ins class="diffchange diffchange-inline"><u></ins>a pixel is accepted as flooded when at least two algorithms classify it as water<ins class="diffchange diffchange-inline"></u></ins>. As a result, all other pixels of the Sentinel-1 footprint and not included in a pre-computed exclusion mask are classified as unflooded. <ins class="diffchange diffchange-inline"><br></ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>In the unlikely scenario that one or two algorithms fail to produce a result, the results of a single algorithm will be used to compute the final map. In case of a split decision between two algorithms, preference will be given to the algorithm that produced the highest <ins class="diffchange diffchange-inline">[https://en.wikipedia.org/wiki/Forecast_skill </ins>CSI score<ins class="diffchange diffchange-inline">] </ins>during the quality assurance procedure.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline"> '''</ins>The <ins class="diffchange diffchange-inline">ensemble algorithm integrates the results </ins>of <ins class="diffchange diffchange-inline">three leading edge classification algorithms into a single product'''. It '''combines in a single approach </ins>the <ins class="diffchange diffchange-inline">most advanced processing steps''' currently used in the field of SAR</ins>-<ins class="diffchange diffchange-inline">based </ins>flood and water extent <ins class="diffchange diffchange-inline">mapping (i.e. parameter optimization based on time series analysis at local and regional scale, region growing, combination of SAR intensity and ancillary data such as topography, etc.). The consensus </ins>product <ins class="diffchange diffchange-inline">substantially '''improves the robustness and accuracy''' of the final product, </ins>in <ins class="diffchange diffchange-inline">addition to building a '''high degree of redundancy''' into the production service</ins>.</div></td></tr>
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https://wikisrv.cimafoundation.org/index.php?title=S-1_Observed_Flood_Extent&diff=1267&oldid=prev
Admin at 12:01, 10 March 2021
2021-03-10T12:01:52Z
<p></p>
<table class="diff diff-contentalign-left" data-mw="interface">
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<td colspan='2' style="background-color: white; color:black; text-align: center;">← Older revision</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 12:01, 10 March 2021</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l7" >Line 7:</td>
<td colspan="2" class="diff-lineno">Line 7:</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>During the NRT operation, the acquisition month of the Sentinel-1 scene is retrieved from the“Sentinel-1 Metadata”  and the corresponding monthly “Sentinel-1 Reference Water Mask” is cropped to the extent of the processed Sentinel-1 scene. The Sentinel-1 Observed Flood Extent values are described below.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>During the NRT operation, the acquisition month of the Sentinel-1 scene is retrieved from the“Sentinel-1 Metadata”  and the corresponding monthly “Sentinel-1 Reference Water Mask” is cropped to the extent of the processed Sentinel-1 scene. The Sentinel-1 Observed Flood Extent values are described below.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[File:figure1.jpg]]</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[File:figure1.jpg<ins class="diffchange diffchange-inline">|border|centre</ins>]]</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">====<u>Ensemble algorithm</u>====</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">The three algorithms(namely [[HASARD]], [ALGORITHM2]] , and [[ALGORITHM3]] will run in parallel and have access to the same pre-processed Sentinel-1 input data. Next, the three generated flood and water extent maps are systematically combined into a single product (i.e. “consensus map”). To generate the combined product, each pixel is attributed the ratio of the number of classifications as flooded to the number of algorithms that were applied. A number of 1 would mean that all three algorithms agreed on its classification as flooded. The final classification is straightforward and based on a majority decision, i.e. a pixel is accepted as flooded when at least two algorithms classify it as water. As a result, all other pixels of the Sentinel-1 footprint and not included in a pre-computed exclusion mask are classified as unflooded. In the unlikely scenario that one or two algorithms fail to produce a result, the results of a single algorithm will be used to compute the final map. In case of a split decision between two algorithms, preference will be given to the algorithm that produced the highest CSI score during the quality assurance procedure. The final workflow of the Sentinel-1 observed flood and water extent product generation is presented in detail in section 1.4.</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
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https://wikisrv.cimafoundation.org/index.php?title=S-1_Observed_Flood_Extent&diff=851&oldid=prev
Admin at 09:35, 12 November 2020
2020-11-12T09:35:27Z
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</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l10" >Line 10:</td>
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https://wikisrv.cimafoundation.org/index.php?title=S-1_Observed_Flood_Extent&diff=850&oldid=prev
Admin at 09:34, 12 November 2020
2020-11-12T09:34:26Z
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<td colspan='2' style="background-color: white; color:black; text-align: center;">← Older revision</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 09:34, 12 November 2020</td>
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