EGU23-15702, updated on 26 Feb 2023
https://doi.org/10.5194/egusphere-egu23-15702
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Mapping and assessing the spatial extent of floods using Sentinel 1 SAR Data – An approach based on Flood Index Estimation

Suresh Devaraj1, Kasiviswanathan Kasiapillai Sudalaimuthu1, Venkatesh Budamala2, Balasundaram Pattabiraman1, and Kalel Ahamed1
Suresh Devaraj et al.
  • 1Department of Water Resources Development & Management, Indian Institute of Technology, Roorkee, India (devaraj.suresh1991@gmail.com)
  • 2Interdisciplinary Centre for Water Research, Indian Institute of Science, Bangalore, India

Water alone accounts for more than 70% of global fatalities, mainly the floods and droughts, among other natural disasters. In a highly populated country like India, accurate rapid flood mapping plays a vital role in disaster response activities. Brahmaputra is one of the perennial rivers in India that experiences frequent floods, and the present study aims at developing a flood index for the identification of the flooded regions using Sentinel 1 SAR datasets over middle Brahmaputra River basin. Images acquired before and during the flood will be used to develop the flood index. Flood extent identified using the index will be used to classify the vulnerable zones, that can be utilized by the concerned government authorities for various mitigation and management purposes.

How to cite: Devaraj, S., Kasiapillai Sudalaimuthu, K., Budamala, V., Pattabiraman, B., and Ahamed, K.: Mapping and assessing the spatial extent of floods using Sentinel 1 SAR Data – An approach based on Flood Index Estimation, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-15702, https://doi.org/10.5194/egusphere-egu23-15702, 2023.