Articles | Volume 26, issue 10
https://doi.org/10.5194/nhess-26-5103-2026
https://doi.org/10.5194/nhess-26-5103-2026
Research article
 | 
19 Oct 2026
Research article |  | 19 Oct 2026

Application of radar remote sensing for cyclone damage mapping in Bangladesh: a coherence-based approach

Shadmin Islam Prova, Md. Shahoriar Sarker, Rosdania Islam, and Ridad Ibne Mahfuz

Cited articles

Alexandre, C., Johary, R., Catry, T., Mouquet, P., Révillion, C., Rakotondraompiana, S., and Pennober, G.: A Sentinel-1 based processing chain for detection of cyclonic flood impacts, Remote Sens., 12, 252, https://doi.org/10.3390/rs12020252, 2020. 
Al Shafian, S. and Hu, D.: Integrating Machine Learning and Remote Sensing in Disaster Management: A Decadal Review of Post-Disaster Building Damage Assessment, Buildings, 14, 2344, https://doi.org/10.3390/buildings14082344, 2024. 
Bürgmann, R., Rosen, P. A., and Fielding, E. J.: Synthetic Aperture Radar Interferometry to Measure Earth's Surface Topography and Its Deformation, Annu. Rev. Earth Planet. Sci., 28, 169–209, https://doi.org/10.1146/annurev.earth.28.1.169, 2000. 
Emanuel, K. A.: The dependence of hurricane intensity on climate, Nature, 326, 483–485, https://doi.org/10.1038/326483a0, 1987. 
Fielding, E. J. and Jung, J.: Damage proxy mapping with SAR interferometric coherence change, Procedia Comput. Sci., 239, 2322–2328, https://doi.org/10.1016/j.procs.2024.06.425, 2024. 
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Short summary
This study explores how radar satellite images can rapidly assess cyclone damage in coastal Bangladesh, where clouds and limited access hinder traditional methods. By using satellite radar coherence to track surface changes across five major cyclones, it identifies impacts on land, vegetation, and infrastructure with high accuracy. The findings highlight a reliable tool for faster disaster response and improved planning in vulnerable regions.
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