JAUE2024-084: Construction of Spatial Information for Small-scale Urban Flood Inundation Areas using Unmanned Aerial Vehicle

Abstract

Recently, due to rapid climate changes such as global warming, the scale and frequency of water-related disasters like heavy rainfall and typhoons have been increasing. In the case of South Korea, water-related disasters occur frequently due to meteorological factors such as concentrated annual rainfall during the monsoon season, as well as geographical and social factors. When water-related disasters occur, estimating the affected area and extent of damage is crucial in constructing spatial information of flooded sites. Previous studies mainly used satellite and aerial images for flood analysis, focusing on comprehensive assessments rather than accurate damage analysis using simulation models. The purpose of this study is to rapidly capture aerial images of flooded areas using unmanned aerial vehicles (UAVs) and image-based spatial data technology to construct 3D disaster site topographic information and spatial data. This study proposes a method for surveying flooded areas using UAVs. Therefore, we aim to process aerial photographs of flooded areas using UAV photogrammetry, generate orthoimages to construct spatial information can be properly implemented and utilized using UAVs at water disaster sites. This methodology is expected to complement existing methods for flood inundation assessment, providing potential to enhance future disaster management efforts.