Channel responses to flooding of Ganga River, Bihar India, 2019 using SAR and optical remote sensing

Indo Gangetic flood plains are subjected to recurring floods due to large low-lying land areas adjacent to major Himalayan Rivers. Recent floods in the Ganga River during the late withdrawal phase of Indian summer monsoon rains in 2019 had reportedly caused death of similar to 200-500 people and damaged major infrastructures in different parts of Bihar state, India. This paper presents a detailed analysis of the spatial extent and temporal pattern of flood inundation areas in Patna district of Bihar using Sentinel-1 Synthetic Aperture Radar (SAR) data. The results obtained using K-means classification show that about 1268 km(2) (20% of the studied portion) of the land area were inundated during the peak flooding conditions on 9th October 2019. The peak flooding lasts for more than 20 days, with a maximum water depth of 18 m in the main river. Owing to the continually changing nature of river morphology by recurring floods, we also analyzed the channel morphology and bar characteristics before, during, and after the floods. Geomorphic change assessment indicates that the total bar occupied area was decreased from 661 km(2) for pre-flood time to 446 km(2) in peak flood time, whereas it retains its original shape in post-flood images. (C) 2021 Published by Elsevier B.V. on behalf of COSPAR.

Automated summary

This paper presents a detailed analysis of flood inundation areas in Patna district of Bihar, India using Sentinel-1 SAR data. The study examines the spatial extent and temporal pattern of flooding, as well as the changes in river morphology and sandbar characteristics. The results show that the floods caused significant inundation and impacts on the river morphology and sandbars.