Using LiDAR data to study the impact of urban inundation
| Meeting | VIWC2026 |
| Topic | OS2: Remote Sensing of water and inundation |
| Author | Thi Huu Phuong NGUYEN | Van Duc DANG | Truong Xuan NGUYEN |
| Organization | Lecture Department of Information Technology, Hanoi University of Mining and Geology (HUMG) | Institute of Information Technology, Vietnam Academy of Science and Technology | Department of Information Technology, Hanoi University of Mining and Geology |
| DOI | 2022.1669963625 |
Abstract
Currently, due to the impact of urbanization process, canals and ponds naturally ... gradually disappear. This change alters the hydrological process in the urban area, making drainage inefficient. This phenomenon is called urban flooding. In Hanoi and HCMC. In Ho Chi Minh, this phenomenon is frequent and increasingly serious.<br> LiDAR is a proactive remote sensing technology capable of quickly surveying objects and on a wide range. LiDAR system collects data regardless of sunlight, can perform both day and night, weather conditions are not demanding. The use of lasers to scan and capture information about objects makes LiDAR technology more and more popular and applied in many sectors and fields of social life.<br> With the ability to directly receive 3D point clouds with high accuracy, LiDAR is widely applied in establishing the digital elevation model (Digital Elevation Model - DEM) of the surface, based on which it is possible. monitor the flow of water or monitor movement of blocks, mapping and remote sensing. Therefore, LiDAR technology can be fully applied in studying the impact of urbanization on the change of the water surface resulting in urban flooding.<br> However, the LiDAR data is extremely large, with tens of thousands and millions of points. In order to use and extract useful information related to the field of study, appropriate methods and techniques are needed. The paper focuses on the LiDAR point cloud data classification method to extract the water surface so that it can study the impact of changes (disappearance) of urban water surface on flooding.
Keywords: LiDAR point cloud, inundation, water surface change mapping, assignment water surface change




