Rapid assessment of riverine flood inundation in Chenab floodplain using remote sensing techniques

Abstract Introduction After flood occurrences, remote sensing images provide crucial information for mapping inundation extent. Optical satellite can be utilized to generate flooded area maps when the areas are free from clouds. Materials and Methods In this study was calculated using a variety of water indices classification algorithms, on Landsat data. Pre-flood, during flood, post-flood data were collected in-depth investigation. The delineation inundated done Normalized Difference Water Index (NDWI), Modified (MNDWI), Ratio (WRI). order detect compare with indices, supervised maximum likelihood algorithm also used land use cover mapping. Results results investigation allowed recession. analysis revealed that covered about 68% area, remained standing seven weeks. We misclassified approach, as determined, classified results, improve areas, generated through each 3 indices. result showed MNDWI better accuracy above 90%, which reflects reliability results. Conclusion This proposed (RS) technique provides basis identification less enable an emergency response targeted, newly areas. Thus, present novel rapid perspective considerable contribution monitoring.