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Flood Damage Assessment Using H-A-Alpha Dual Polarimetric Decomposition for Godavari Flood-2019
M. Gomathi, , C. Chandre Gowda, D. Krishnaveni
Published in Springer Science and Business Media Deutschland GmbH
2021
Volume: 700
   
Pages: 1199 - 1208
Abstract
In India, flood is a recurrent disaster due to various factors caused by climate change. It is essential to monitor the damages due to flood for the rescue and relief activities. Satellite data can be used effectively for assessing the inundated areas and damages. The temporal analysis of satellite imagery can be used effectively for predicting the flood hazard zone for future preparedness. In this paper, an attempt was made to analyze the flood damages using the sentinel-1 data. The floods that occurred in Godavari during August 2019 are considered for the study. The damages in water,settlement, and vegetation are analyzed using dual polarimetric decomposition (H-A-Alpha decomposition) for the three dates(pre-events and post-event) of the study area. Based on the classification results of the pre- and post-event data, percentage of the damages in water settlement and vegetation were identified. From the results, it has been suggested that the mapping of damaged areas can be effectively performed using the dual polarimetric decomposition. © 2021, Springer Nature Singapore Pte Ltd.
About the journal
JournalData powered by TypesetLecture Notes in Electrical Engineering
PublisherData powered by TypesetSpringer Science and Business Media Deutschland GmbH
ISSN18761100