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Effective utilization of RISAT-1A multi-mode satellite data for near real time flood mapping and monitoring: case study and implementation at the national level


Affiliations
1 National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 042, India

Flooding is a recurring issue in India, affecting 10–15 states annually during monsoon season and coastal regions due to cyclones. Microwave satellite data from SAR sensors like RISAT-1A, launched in February 2022, offers near real-time flood mapping crucial for relief efforts. Various acquisition modes, including medium resolution ScanSAR (MRS) mode, coarse resolution ScanSAR (CRS) mode and fine resolution Strimap (FRS) mode, provide suitable resolutions for flood mapping. Case studies demonstrate the behaviour of the backscatter coefficient in flood pixels, essential for flood map preparation. Validation against optical data­sets shows a high accuracy of 91% in CRS, 94% in MRS and 94% in FRS, which is acceptable for near real-time mapping. The 67 and 91 flood maps were generated in 2022 and 2023 respectively, aiding state and central disaster management

Keywords

Flood damage assessment, flood disaster, flood mapping, RISAT-1A, synthetic aperture radar data.
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  • Effective utilization of RISAT-1A multi-mode satellite data for near real time flood mapping and monitoring: case study and implementation at the national level

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Authors

A. V. Suresh Babu
National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 042, India
Y. V. Sai Bhageerath
National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 042, India
K. H. V. Durga Rao
National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 042, India
K. Sreenivas
National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 042, India
Prakash Chauhan
National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 042, India

Abstract


Flooding is a recurring issue in India, affecting 10–15 states annually during monsoon season and coastal regions due to cyclones. Microwave satellite data from SAR sensors like RISAT-1A, launched in February 2022, offers near real-time flood mapping crucial for relief efforts. Various acquisition modes, including medium resolution ScanSAR (MRS) mode, coarse resolution ScanSAR (CRS) mode and fine resolution Strimap (FRS) mode, provide suitable resolutions for flood mapping. Case studies demonstrate the behaviour of the backscatter coefficient in flood pixels, essential for flood map preparation. Validation against optical data­sets shows a high accuracy of 91% in CRS, 94% in MRS and 94% in FRS, which is acceptable for near real-time mapping. The 67 and 91 flood maps were generated in 2022 and 2023 respectively, aiding state and central disaster management

Keywords


Flood damage assessment, flood disaster, flood mapping, RISAT-1A, synthetic aperture radar data.



DOI: https://doi.org/10.18520/cs%2Fv126%2Fi9%2F1134-1142