FLOOD WATER DEPTH ESTIMATION FOR THE HISTORICAL FLOOD IN QUANG BINH PROVINCE, VIETNAM IN 2020 USING SENTINEL-1A IMAGES

Abstract

Flood is a natural phenomena that usually causes serious consequences for human lives. The flood water depth estimation helps people to offer suitable solutions to deal with the damaging effects of the flood. The flood depth estimation methods using remote sensing images have been received a great interest and applied popularly for recent decades. The paper proposed a method to build the flood water depth map of Quang Binh province, Vietnam in the historical flood 2020 based on Sentinel-1A satellite images. This method is a combination of the classical Otsu method and the proposed spreading method. The former algorithm was first used to build the temporary water maps. Then, the latter algorithm was applied on these water maps to determine the flood inundation depths. This method of flood depth estimation proved computational simplicity and near-real-time speed, and provided relatively good accuracy.