Morphological characterization of complex micro-landscapes based on UAV high-resolution DEM: Take the mountainous area on the southern rim of Dinosaur valley as an example
LUO Weidong1,2, GAN Shu1,2, YUAN Xiping2,3, GAO Sha1,2, HU Lin1,2, YUAN Xinyue1,2
1. School of Land and Resources Engineering, Kunming University of Science and Technology, 650000, Kunming, China; 2. Application Engineering Research Center of Spatial Information Surveying and Mapping Technology in Plateau and Mountainous Areas Set by Universities in Yunnan Province, 650000, Kunming, China; 3. School of Earth Science and Engineering Technology, West Yunnan University of Applied Sciences, 671000, Dali, Yunnan, China
Abstract：[Background] In order to improve the acquisition rate and accuracy of terrain factors required by soil erosion models, it is urgent to carry out in-depth analysis and research on the morphological characteristics of mountains.[Methods] The mountainous area at the southern margin of the Dinosaur valley, Lufeng county, Yunnan province, where the tectonic erosion landforms are mainly dominated, was selected as the test area. The images of the test area were obtained by drones and a point cloud was constructed. The point cloud was filtered and calculated from the ground point data through the natural field interpolation method. A high-resolution DEM model was constructed based on the pixel values. Based on this model, according to the principles of terrain factor validity, computability, and mutual independence of factors, 4 single-factor indicators of slope, surface roughness, standard curvature, and surface cut depth were selected for the micro-topography. After quantification, different weights were finally assigned to the above 4 single-factor indicators and a TCI model was constructed, which was divided into 5 levels according to low complex, relatively less complex, medium complex, relatively more complex and highly complex with a step size of 2.[Results] Considering the degree of dispersion of elevation values and the degree of dispersion of errors from the true value, a DEM with a resolution of 0.5 m with SD and R of only 0.016 7 and 0.017 3, respectively was selected. The weights of the 4 topographic factors of slope, surface roughness, standard curvature and surface cutting depth calculated by the coefficient of variation method were 0.282, 0.171, 0.259 and 0.288, respectively. Statistics on the distribution areas of the 5 levels in the TCI model showed that the overall area of relatively more complex and high complexity was relatively concentrated, mainly distributed on both sides of the mountain, and the two together accounted for 22.95% of the survey area. The two sides of the mountain were uneven due to the influence of the subtropical monsoon climate. At the same time, the field survey found that red soil and purple soil with severe desertification were widely distributed, indicating that the soil was eroded by weathering in this area.[Conclusions] The TCI model constructed using the terrain factors obtained by constructing high-resolution DEM with UAV can accurately reflect the terrain information of the region, and has certain research value for the analysis of soil erosion problems.
罗为东, 甘淑, 袁希平, 高莎, 胡琳, 袁新悦. 基于UAV高分辨率DEM的复杂微地貌形态特征分析——以恐龙谷南缘山区为例[J]. 中国水土保持科学, 2022, 20(5): 109-117.
LUO Weidong, GAN Shu, YUAN Xiping, GAO Sha, HU Lin, YUAN Xinyue. Morphological characterization of complex micro-landscapes based on UAV high-resolution DEM: Take the mountainous area on the southern rim of Dinosaur valley as an example. SSWC, 2022, 20(5): 109-117.
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2022, Vol. 20 
