Architecture planning and geo-disasters assessment mapping of landslide by using airborne lidar data and UAV images

Chun Liu; Weiyue Li; Weigang Lei; Lin Liu; Hangbin Wu

doi:10.1117/12.912525

24 October 2011 Architecture planning and geo-disasters assessment mapping of landslide by using airborne lidar data and UAV images

Chun Liu, Weiyue Li, Weigang Lei, Lin Liu, Hangbin Wu

Author Affiliations +

Proceedings Volume 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications; 82861Q (2011) https://doi.org/10.1117/12.912525
Event: International Symposium on Lidar and Radar Mapping Technologies, 2011, Nanjing, China

Abstract

After the operation of GPS/IMU direct geo-referencing, segmentation, filtering, classification of scattered point data and aerial triangulation on airborne LiDAR(Light Detection and Ranging) data, the accurate and high-resolution DEM of the study area in the west part of Zengcheng city, Guangdong, China was constructed. In addition, unmanned aerial vehicle (UAV) images were used for ground objects identification. Landslides occur frequently in summer in the city because of heavy rainfall. The LiDAR data (point cloud) and the mosaic images were then combined to produce the suitability distribution maps by considering Several factors, such as slope gradient, slope aspect, on-the-spot investigation data etc The maps can then be used to analyze the potential risk of landslides and assess the risk level around some buildings. The experiment results show that the method based on LiDAR data and UAV images can rapidly and accurately survey the terrain of the study area and also provides useful information for architectural design.

Citation Download Citation

Chun Liu, Weiyue Li, Weigang Lei, Lin Liu, and Hangbin Wu "Architecture planning and geo-disasters assessment mapping of landslide by using airborne lidar data and UAV images", Proc. SPIE 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications, 82861Q (24 October 2011); https://doi.org/10.1117/12.912525

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