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Comparative Flood Inundation Mapping Utilizing Multi-Temporal Optical and SAR Satellite Data Over North Bihar Region: A Case Study of 2019 Flooding Event Over North Bihar
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Author(s): Gaurav Tripathi (Department of Geoinformatics, Central University of Jharkhand, Brambe, India), Arvind Chandra Pandey (Department of Geoinformatics, Central University of Jharkhand, Brambe, India), Bikash Ranjan Parida (Department of Geoinformatics, Central University of Jharkhand, Brambe, India)and Achala Shakya (Department of Computer Engineering, National Institute of Technology, Kurukshetra, India)
Copyright: 2020
Pages: 20
Source title:
Spatial Information Science for Natural Resource Management
Source Author(s)/Editor(s): Suraj Kumar Singh (Suresh Gyan Vihar University, Jaipur, India), Shruti Kanga (Suresh Gyan Vihar University, Jaipur, India)and Varun Narayan Mishra (Suresh Gyan Vihar University, Jaipur, India)
DOI: 10.4018/978-1-7998-5027-4.ch008
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Abstract
Floods are investigated to be the utmost frequent and destructive phenomena among all other types of natural calamities worldwide. Thus, flood events need to be mapped to understand their impact on the affected region. The present case study is intended to examine and analyze the flood events occurred in July-August 2019 over the Northern Bihar region situated in Kosi and Gandak river basins. Furthermore, a comparative study was carried out to map the satellite based near real time flood inundation using multi-temporal Sentinel–1A (SAR) and MODIS NRT Flood data (optical and 3-day composite). Optical (MODIS) and Sentinel-1 SAR data were acquired to compare their flood inundation extent and the result shows overestimation in MODIS flood data due to varying spatial resolutions.
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