Abstract
This paper presents a case study of flood mapping in Panamaram village, Wayanad, Kerala, India using SAR dataset. Rapid flood mapping can prove to be critical in decision making during flood due to high socio-economic loss associated. In this study, ground range detected (GRD) images of Sentinel-l mission, which are substantially less utilized, are exploited. Pre-event and post-event GRD images are analyzed in Sentinel Application Platform (SNAP) and extent of flooded area is mapped in GIS framework. The generated results are further validated by comparison of cumulative rainfall data during the flood period provided by Indian Meteorological Department, Thiruvananthapuram. Overall, study looks promising in developing flood maps subject to availability of real-time images.
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