Exclusion Mask - Revision history

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Admin at 09:59, 12 November 2020

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Admin: Created page with " [Home] - [back to GFMS Products] ---- The '''Exclusion Mask''' indicates the pixel locations where the SAR data could not deliver the necessary info..."

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Created page with " [Home] - [back to GFMS Products] ---- The '''Exclusion Mask''' indicates the pixel locations where the SAR data could not deliver the necessary info..."

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The '''Exclusion Mask''' indicates the pixel locations where the SAR data could not deliver the necessary information for a robust flood delineation. It combines static effects leading to
<ol style="list-style-type:lower-roman">
<li>no-sensitivity in flood mapping</li>
<li>water-look-alikes</li>
<li>strong topography</li>
<li>radar shadows</li>
</ol>
(i) no-sensitivity in flood mapping
(ii) water-look-alikes
(iii) strong topography
(iv) radar shadows.

For its generation, we implement the methods proposed in section 1, following the identified problems of SAR-based flood mapping. <br>
The parameter database stores for all locations on pixel basis the areas excluded by the four effect groups, with the radar shadow layer per local Sentinel-1 orbit configurations (up to six per location). During NRT operation, the relative orbit is determined from the S-1 metadata, and the respective Exclusion Mask layers are subset to the extent of the processed Sentinel-1 scene and form a single binary mask for exclusion areas. The Exclusion Mask layer values are described below.

[[File:figure5.jpg]]

====Note====
As no-sensitivity is a problem leading often to an underestimation of floods rather than to overestimation (e.g. in urban areas), the no-sensitivity -masking is only applied to pixels that are classified as non-flooded, whereas pixels classified as flooded are kept un-masked. Any no-data areas from the flood algorithm are forwarded to this layer and added as no-data values.

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 </ol>
-For its generation, we implement the methods proposed in section 1, following the identified problems of SAR-based flood mapping. <br>
+For its generation, we implement the methods proposed '''in section 1''', following the identified problems of SAR-based flood mapping. <br>
 The parameter database stores for all locations on pixel basis the areas excluded by the four effect groups, with the radar shadow layer per local Sentinel-1 orbit configurations (up to six per location). During NRT operation, the relative orbit is determined from the S-1 metadata, and the respective Exclusion Mask layers are subset to the extent of the processed Sentinel-1 scene and form a single binary mask for exclusion areas.  The Exclusion Mask layer values are described below.

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    <li>radar shadows</li>
 </ol>
 For its generation, we implement the methods proposed in section 1, following the identified problems of SAR-based flood mapping. <br>