• Laser & Optoelectronics Progress
  • Vol. 55, Issue 5, 052802 (2018)
Guanghao Ye1、1; , Susu Deng1、1; , Wenbing Xu1、2、1; 2; , and Zhengwen Niu1、1;
Author Affiliations
  • 1 School of Environmental & Resource Sciences, Zhejiang Agricultural & Forestry University, Lin'an, Zhejiang 311300, China;
  • 2 College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China
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    DOI: 10.3788/LOP55.052802 Cite this Article Set citation alerts
    Guanghao Ye, Susu Deng, Wenbing Xu, Zhengwen Niu. Application of Airborne LiDAR Technology in Dune Deformation Monitoring[J]. Laser & Optoelectronics Progress, 2018, 55(5): 052802 Copy Citation Text show less

    Abstract

    Land desertification can cause significant economic losses. The point cloud data obtained by airborne light detection and ranging (LiDAR) technology is of great significance in monitoring the deformation of sand dunes and studying its laws. The acquired two-period airborne LiDAR data from desert area are processed to generate digital elevation model (DEM) and slope maps, and the combination of geographic object-based and pixel-based change detection methods is used to accurately monitor the deformation of dune and its movement. The toe lines of dunes extracted from multi-temporal slope maps provide horizontal deformation of dunes. Difference analysis of two-period DEM can be used to analyze vertical movement of dunes. The interpolate lines analysis combined with the dominant wind direction can quantify the topographic deformation and movement laws of dunes. The analysis results show that there is an overall settlement in the whole study area, which is the movement of sand material. The deformation law of dunes is highly related to the main wind direction. The stoss slope of dune is mainly subsidence, and the leeward slope of dune is prone to slip-off, so settlement occurs at the top and sand material deposition occurs at the bottom.
    Guanghao Ye, Susu Deng, Wenbing Xu, Zhengwen Niu. Application of Airborne LiDAR Technology in Dune Deformation Monitoring[J]. Laser & Optoelectronics Progress, 2018, 55(5): 052802
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