Nghiên cứu ứng dụng giải đoán ảnh viễn thám trong xây dựng bản đồ thiệt hại ngập lụt thành phố Cần Thơ

Abstract

Nowadays, advancements in Remote Sensing (RS) and Geographic Information Systems (GIS) have greatly promoted scientific studies in many fields over the world. With the ability to analyze and display information, remote sensing and GIS technologies are applied in mapping distribution of water resources, Distribution map of the hydrological network: A quantitative assessment of precipitation; Storms, Floods and Droughts; Map of the lowlands, flooding low-lying areas; climate zoning; … This study applies Sentinel-1 image interpretation technology and a method to quantify flood damage by building a spatial distribution map of flood damage for the October 9, 2018 flood in Can Tho City. The study results indicated that the districts outside the river dyke are not protected, so they are often flooded with large areas, many places with a depth of over 1.5 m. Although the area in the dike is over 88% flooded, it is common at less than 0.5 m inundation. The flood caused a loss of nearly 26.5 billion VND in Can Tho in terms of 06 groups of land use including Aquaculture; Cash Crops; Double Rice crops; Fruit trees; Non-agricultural and Triple rice crops. Research results are useful information to help localities develop response plans, enhance adaptive capacity and reduce flood damage.