Google Earth Engine-Based Identification of Flood Extent and Flood-Affected Paddy Rice Fields Using Sentinel-2 MSI and Sentinel-1 SAR Data in Bihar State, India

• Published in: Journal of the Indian Society of Remote Sensing Vol. 50; no. 5; pp. 791 - 803
• Main Authors: Kumar, Himanshu, Karwariya, Sateesh Kumar, Kumar, Rohan
• Format: Journal Article
• Language: English
• Published: New Delhi Springer India 01.05.2022; Springer Nature B.V
• Subjects: Agricultural land; Agricultural production; Cereal crops; data collection; Decision making; Earth; Earth and Environmental Science; Earth Sciences; Earth surface; Floods; Floodwater; humans; India; Internet; livelihood; monsoon season; Natural disasters; Overflow; paddies; Rainy season; Remote Sensing/Photogrammetry; Rescue operations; Research Article; Rice; Rice fields; Rivers; rough rice; satellites; Synthetic aperture radar; Weather; wet season; Bihar India; India; Paddy field; Flood; Google Earth Engine; Sentinel-2 MSI; Sentinel-1 SAR; Rice

Flood is the major cause of fatalities associated with natural disasters in the world. In India especially in the state of Bihar, where about half of the area (North Bihar) gets flooded every year due to the overflow of major rivers during the rainy season. Which severely affects human lives, proper...