Detection of Flood Inundation Areas Based on Sentinel-1 SAR Imagery in the Klawing River Watershed

Abstract In December 2020, the Klawing River overflowed, flooding hundreds of houses in six villages. To aid in evacuation, identifying affected areas is crucial. Using Sentinel-1 Synthetic Aperture Radar (SAR) satellite imagery and the Change Detection Approach with thresholding via Google Earth Engine, flood-inundated areas were mapped efficiently. The process involved detecting changes in backscatter values before and after the flood. Sentinel-1 images from December 13, 2020, were used to map the flood, while images from late 2019 and 2020 served as pre-flood references. Threshold values of 1.22 to 1.24 were applied, revealing flood areas ranging from 10.56 km 2 to 17.31 km 2 .

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Publication Details

Journal
IOP Conference Series Earth and Environmental Science
Published
2025-03-01
DOI
https://doi.org/10.1088/1755-1315/1473/1/012031
Citations
1
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
5.76
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article

Detection of Flood Inundation Areas Based on Sentinel-1 SAR Imagery in the Klawing River Watershed

Purwanto Bekti Santoso, Sanidhya Nika Purnomo, Muhammad Faridzi Fikri
1 citations
IOP Conference Series Earth and Environmental Science
Flood Risk Assessment and Management
5.76
article

Detection of Flood Inundation Areas Based on Sentinel-1 SAR Imagery in the Klawing River Watershed

Purwanto Bekti Santoso, Sanidhya Nika Purnomo, Muhammad Faridzi Fikri
article en
1 citations

Abstract

Abstract In December 2020, the Klawing River overflowed, flooding hundreds of houses in six villages. To aid in evacuation, identifying affected areas is crucial. Using Sentinel-1 Synthetic Aperture Radar (SAR) satellite imagery and the Change Detection Approach with thresholding via Google Earth Engine, flood-inundated areas were mapped efficiently. The process involved detecting changes in backscatter values before and after the flood. Sentinel-1 images from December 13, 2020, were used to map the flood, while images from late 2019 and 2020 served as pre-flood references. Threshold values of 1.22 to 1.24 were applied, revealing flood areas ranging from 10.56 km 2 to 17.31 km 2 .

IOP Conference Series Earth and Environmental ScienceVol. 1473(1)
Jenderal Soedirman University (ID)
Openalex Percentile: Top 7%
Flood Risk Assessment and Management
5.76
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