Flash-Flood Potential Mapping in Agricultural Land Using Rule-Based Classification Approach on Multi-Temporal Synthetic-Aperture Radar (SAR) Data over Jhajjar and Rohtak Districts of Haryana State

Abstract

Flash floods are known to be most dangerous flood. In recent decades there is change in the climate and urban development causing increase in the risk of flash flood for human population. Remote sensing and geographical information system playing a very important and feasible role in assessment of the flash flood over a decade. This paper describes the synergetic use of Synthetic-aperture radar (SAR) data to delineate and mapping of the flooded area at its peak. The methodology was tested on the flash flood event that occurs in Jhajjar and Rohtak districts of Haryana in July, 2022. Four Sentinel-1 Synthetic-aperture radar data were acquired and pre-processed, two images are acquired before the occurrence of the event and two SAR images were acquired after the event. For the identification and demarcation of the flooded area, the rule-based classification approach was used. The results of the study suggests the scope of using multi-temporal Sentinel-1 VV polarized C-band SAR data to develop an operational flash-flood area identification and framework.