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Flood Detection Using During-Flood SAR Image in QGIS

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NopphawanTamkuan

This content presents flood detection using during flood image by thresholding and classification method in QGIS.

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Center for Research and Application for Satellite Remote Sensing Yamaguchi University Flood Detection Using During-Flood SAR Image in QGIS Photo by rachman reilli on Unsplash
Background Floods in Bangladesh on 28 September 2015 Data used Sentinel Asia - Geotiff SAR Image - “JPJXisis0001201509080028.tif” Schematic Diagram of the Methodology
Step 01 3 Launch QGIS and Read the Image Layer> Add Layer> Add Raster Layer Steps in QGIS
Study the Image, Look for Range of DN values for Probable Flooded Areas 4 Step 02 Use the Identify feature to see the range of dark pixels in the image After Several ROIs, fix the range of DN values for the probable flooded areas In the Image, we will use a range of say [10 , 28] Steps in QGIS
5 Masking the Image Image Name Expression Step 03 Raster > Raster Calculator "JPJXisis0001201509080028@1" >= 10 AND "JPJXisis0001201509080028@1" <= 28 Steps in QGIS
6 Repeat the Process (with different ranges) Unless you are Satisfied With the Masking Results White Pixels Probable Flooded Areas
Perform an Unsupervised Classification 7 Step 04 Processing > Toolbox Unsupervised KMeans image classification We need only 2 classes
8 Output Classified Image Black Pixels Probable Flooded Areas The Classified Image
9 Subset Step 05 Raster > Extraction > Clipper Steps in QGIS
10 The Classified clipped Image
11 Step 06 Raster > Analysis > Sieve Before Smoothing After Smoothing Smoothing
12 Project > New Print Composer Step 07 Title of the Map Add New Map Step 08 Drag and Drop here Create Map
13 Add Legend and Draw Grid Step 09 Create Map
Add North Arrow and Title Step 10 Add Map Information and the Logos Step 11 Create Map
15 Web > Open Layer Plugins > Bing Maps > Bing Aerial with Lebels Step 12 Value Addition

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Flood Detection Using During-Flood SAR Image in QGIS

  • 1. Center for Research and Application for Satellite Remote Sensing Yamaguchi University Flood Detection Using During-Flood SAR Image in QGIS Photo by rachman reilli on Unsplash
  • 2. Background Floods in Bangladesh on 28 September 2015 Data used Sentinel Asia - Geotiff SAR Image - “JPJXisis0001201509080028.tif” Schematic Diagram of the Methodology
  • 3. Step 01 3 Launch QGIS and Read the Image Layer> Add Layer> Add Raster Layer Steps in QGIS
  • 4. Study the Image, Look for Range of DN values for Probable Flooded Areas 4 Step 02 Use the Identify feature to see the range of dark pixels in the image After Several ROIs, fix the range of DN values for the probable flooded areas In the Image, we will use a range of say [10 , 28] Steps in QGIS
  • 5. 5 Masking the Image Image Name Expression Step 03 Raster > Raster Calculator "JPJXisis0001201509080028@1" >= 10 AND "JPJXisis0001201509080028@1" <= 28 Steps in QGIS
  • 6. 6 Repeat the Process (with different ranges) Unless you are Satisfied With the Masking Results White Pixels Probable Flooded Areas
  • 7. Perform an Unsupervised Classification 7 Step 04 Processing > Toolbox Unsupervised KMeans image classification We need only 2 classes
  • 8. 8 Output Classified Image Black Pixels Probable Flooded Areas The Classified Image
  • 9. 9 Subset Step 05 Raster > Extraction > Clipper Steps in QGIS
  • 11. 11 Step 06 Raster > Analysis > Sieve Before Smoothing After Smoothing Smoothing
  • 12. 12 Project > New Print Composer Step 07 Title of the Map Add New Map Step 08 Drag and Drop here Create Map
  • 13. 13 Add Legend and Draw Grid Step 09 Create Map
  • 14. Add North Arrow and Title Step 10 Add Map Information and the Logos Step 11 Create Map
  • 15. 15 Web > Open Layer Plugins > Bing Maps > Bing Aerial with Lebels Step 12 Value Addition