Estimation of flood inundation in river basins of Uttar Pradesh using Sentinel 1A-SAR data on Sentinel Application Platform (SNAP)
摘要
Severe flood events during the last decades have proved to be a devastating disaster for the densely populated and economy of Uttar Pradesh. Due to its ability to provide a concise view of spatial extent of the flood, remote sensing techniques and synthetic aperture radar (SAR) systems in particular have been applied to flood mapping. The present study has identified flood-prone areas in Uttar Pradesh using the C-band (SAR) sensor of Sentinel-1. In this study, changes in flood inundation area during the monsoon season of 2021 have been estimated. Sentinel Application Platform (SNAP) has been used to perform SAR pre-processing which includes orbit file application, thermal noise removal, calibration, speckle filtering, and terrain correction. Subsequently, polarization, band math expression, thresholding, and image are processed. In addition, image mapping has been done in Arc-GIS tool for detailed investigation of flood inundation area. Detailed investigation of the flood inundated area found that overall, 7710 km2 is affected by the flood area. This study will be the potential use of microwave SAR remote sensing as a comprehensive and effective way of providing accurate surface water information for water resources management, flood warning, flood monitoring, and rapid and accurate flood damage assessment in the years to come.