Paper
9 December 2021 Research on application of airborne Lidar technology in flood disaster emergency investigation
Ni Xiang, Pingyun Wang, Xiaobo Liu
Author Affiliations +
Proceedings Volume 12129, International Conference on Environmental Remote Sensing and Big Data (ERSBD 2021); 121290I (2021) https://doi.org/10.1117/12.2625580
Event: 2021 International Conference on Environmental Remote Sensing and Big Data, 2021, Wuhan, China
Abstract
The investigation of emergency environment of flood and waterlogging disaster focuses on real-time and timeliness, which is the need of disaster analysis and emergency rescue.The airborne three-dimensional laser scanning system (LiDAR) is flexible and less affected by the weather. Moreover , it has the characteristics of being able to penetrate the leaf canopy of vegetation directly to the ground .Based on these characteristics, liDAR technology is proposed to obtain detailed topographic and geomorphic data in small area.Through the investigation and study of small watershed in the south of Jinan, this paper systematically introduces the working principle of airborne LiDAR, data processing process, and the specific process of obtaining high-precision DEM and surrounding topography.Application cases show that by means of airborne lidar to obtain small watershed basic geographic information, the data processing speed and the precision and quality of data and subsequent digital products can meet the needs of flood disaster emergency investigation.It provides basic geographic information data for analyzing flood and mountain flood prevention and control work caused by short-term flood.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ni Xiang, Pingyun Wang, and Xiaobo Liu "Research on application of airborne Lidar technology in flood disaster emergency investigation", Proc. SPIE 12129, International Conference on Environmental Remote Sensing and Big Data (ERSBD 2021), 121290I (9 December 2021); https://doi.org/10.1117/12.2625580
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KEYWORDS
Floods

LIDAR

Clouds

Remote sensing

3D scanning

Data processing

Satellites

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