ROLE OF SAR DATA IN WATER BODY MAPPING AND RESERVOIR SEDIMENTATION ASSESSMENT

10 citations as recorded by crossref.

1. Identification of Water Body Extent Based on Remote Sensing Data Collected with Unmanned Aerial Vehicle P. Tymków et al. https://doi.org/10.3390/w11020338
2. Regulated rivers in India: research progress and future directions C. Pradhan et al. https://doi.org/10.1080/09715010.2021.1975319
3. Earth Environmental Monitoring Using Multi-Temporal Synthetic Aperture Radar: A Critical Review of Selected Applications D. Amitrano et al. https://doi.org/10.3390/rs13040604
4. Development of a GIS-based Reservoir Sedimentation Information System (RSIS) for the Kandi region of Punjab, India J. Singh et al. https://doi.org/10.1007/s12518-026-00708-z
5. Assessment of reservoir capacity and sedimentation rate in Chohal Dam, Punjab, India, using multi-satellite data J. Singh et al. https://doi.org/10.2166/ws.2025.055
6. The use of unmanned aerial vehicles in flood hazard assessment E. Karamuz et al. https://doi.org/10.1111/jfr3.12622
7. Multi-satellite remote sensing, GIS, and bathymetric survey-based assessment of reservoir sedimentation in Damsal Dam, Punjab, India M. Singh et al. https://doi.org/10.1007/s12518-026-00732-z
8. Sedimentation mapping in shallow shoreline of arid environments using active remote sensing data M. Elhag & J. Bahrawi https://doi.org/10.1007/s11069-019-03780-4
9. Estimating Reservoir Sedimentation Rates and Storage Capacity Losses Using High‐Resolution Sentinel‐2 Satellite and Water Level Data F. Yao et al. https://doi.org/10.1029/2023GL103524
10. Reservoir sedimentation evaluation using remote sensing and GIS approaches for the reservoirs in the upper Blue Nile Basin A. Tesfaye et al. https://doi.org/10.1007/s40899-022-00792-0