Open AccessApplication of Sentinel-2 Data for Extraction of Flood Inundation along Ganga River, Bihar
Author(s) -
Manisha Kashyap,
C. M. Bhatt,
J. S. Rawat
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.41015
Subject(s) - flood myth , environmental science , hydrology (agriculture) , extraction (chemistry) , geology , geography , geotechnical engineering , chemistry , archaeology , chromatography
Remote Sensing techniques played a significant role in the extraction of the flood inundation. The study is based on delineating the flood water of 2019 that affected the Bihar region along the Ganga River using Sentinel 2 satellite imageries. For this purpose the spectral water index methods: NDWI and MNDWI was used. And to differentiate water from the non-water areas certain threshold values were used. The selection of optimum threshold values was an essential task as it helped to precisely detect the inundated areas. The optimum threshold was lower for MNDWIs for the pre-flood time while for the during flood time NDWI the values were lower. For the pre-flood moment NDWI gave the highest Kappa of 0.93 and for the during flood moment, MNDWI 1 produced the highest Kappa of 0.95 and Overall Accuracy (OA) of 0.91. Overall in this experiment, MNDWI 1 estimated better accuracy in determining the water bodies and flooded region. Due to the highest rainfall in the districts of Patna, Khagaria, Begusrai, and Bhagalpur throughout, the areas were adversely affected by floods in 2019. Keywords: Water Index, NDWI, MNDWI, Flood Inundation, Sentinel-2, natural disasters, Accuracy Assessment