English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

Flood Mapping Using Combined Sentinel-1 Amplitude and Interferometric Coherence

Authors
/persons/resource/shagun

Garg,  Shagun
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Dasgupta,  Antara
External Organizations;

/persons/resource/motagh

Motagh,  M.
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Martinis,  Sandro
External Organizations;

Borgomeo,  Edoardo
External Organizations;

Selvakumaran,  Sivasakthy
External Organizations;

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in GFZpublic
Supplementary Material (public)
There is no public supplementary material available
Citation

Garg, S., Dasgupta, A., Motagh, M., Martinis, S., Borgomeo, E., Selvakumaran, S. (2024): Flood Mapping Using Combined Sentinel-1 Amplitude and Interferometric Coherence - Proceedings, 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS) (Goa, India 2024).
https://doi.org/10.1109/InGARSS61818.2024.10984410


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5035990
Abstract
Synthetic Aperture Radar has become an operational tool for near-real-time flood mapping, crucial for policymakers and disaster planners around the world. However, it faces challenges in dry, sandy areas where water and land have similar backscatter characteristics, rendering traditional amplitude-based methods ineffective. This study introduces an approach to overcome these limitations by combining the amplitude and coherence information from SAR for flood detection in arid regions. Focusing on a case study in Ormara, Pakistan, we demonstrate that this method substantially enhances flood mapping accuracy in challenging terrain. Our results reveal a 25% improvement in accuracy compared to amplitude-only information. This advancement improves our ability to map floods in dry arid environments, potentially improving disaster response and mitigation in dry arid regions.