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

doi:10.16843/j.sswc.2022.05.014

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (6957 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

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 S_D 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.

Key words： topographical factors high-resolution DEM TCI model soil erosion plateau mountain area

Received: 22 July 2021

PACS:

P237

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	LUO Weidong
	GAN Shu
	YUAN Xiping
	GAO Sha
	HU Lin
	YUAN Xinyue

Cite this article:

LUO Weidong,GAN Shu,YUAN Xiping, et al. 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[J]. SSWC, 2022, 20(5): 109-117.

URL:

http://journal12.magtechjournal.com/Jweb_stbc/EN/10.16843/j.sswc.2022.05.014 OR http://journal12.magtechjournal.com/Jweb_stbc/EN/Y2022/V20/I5/109

[1]	LIU B Y, NEARING M A, SHI P J, et al. Slope length effects on soil loss for steep slopes[J]. Soil Science Society of America Journal,2000,64(5):1759.
[2]	俱战省,张加兵,柏子昌.山区坡谱信息熵与水土流失地形因子关系探讨[J].测绘科学,2019,44(3):86. JU Zhansheng, ZHANG Jiabing, BO Zichang. Investigation on relationship between slope spectrum's information entropy and topographical factor influencing soil loss in the mountainous region[J].Science of Surveying and Mapping,2019,44(3):86.
[3]	DENG Y, WILSON J P, BAUER B O. DEM resolution dependencies of terrain attributes across a landscape[J]. International Journal of Geographical Information Science, 2007, 21(2):187.
[4]	李蒙蒙,赵媛媛,高广磊,等.DEM分辨率对地形因子提取精度的影响[J].中国水土保持科学,2016,14(5):15. LI Mengmeng, ZHAO Yuanyuan, GAO Guanglei, et al. Effects of DEM resolution on the accuracy of topographic factor derived from DEM[J]. Science of Soil and Water Conservation,2016,14(5):15.
[5]	周小清.不同分辨率DEM对地形因子和土壤侵蚀空间分布的影响研究[D].北京:北京林业大学,2017:27. ZHOU Xiaoqing. Research on the effects of DEM with different resolutions on terrain factors and the spatial distribution of the soil erosion[D]. Beijing:Beijing Forestry University, 2017:27.
[6]	SHAN J, ZAHEER M, HUSSAIN E. Study on accuracy of 1-degree DEM versus topographic complexity using gis zonal analysis[J]. Journal of Surveying Engineering, 2003, 129(2):85.
[7]	王雷,汤国安,刘学军,等.DEM地形复杂度指数及提取方法研究[J].水土保持通报,2004,24(4):55. WANG Lei, TANG Guo'an, LIU Xuejun, et al. Research on DEM terrain complexity index and extraction method[J]. Bulletin of Soil and Water Conservation,2004,24(4):55.
[8]	卢华兴,刘学军,汤国安.地形复杂度的多因子综合评价方法[J].山地学报,2012,30(5):616. LU Huaxing, LIU Xuejun, TANG Guo'an. Multi-factor comprehensive evaluation method of terrain complexity[J].Mountain Research,2012,30(5):616.
[9]	KURKOV V M, KISELEVA A S. DEM accuracy research based on unmanned aerial survey data[J]. ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,2020,XLⅢ-B3-2020.
[10]	蒋广鑫,谢元礼,高志远,等.中国5类典型区域常用DEM高程精度评价[J].水土保持研究,2020,27(5):72. JIANG Guangxing, XIE Yuanli, GAO Zhipeng et al. Evaluation on elevation accuracy of commonly used DEM in five typical areas of China[J].Research of Soil and Water Conservation, 2020,27(5):72.
[11]	JIANG Ling, LING Dequan, ZHAO Mingwei, et al. Effective identification of terrain positions from gridded DEM data using multimodal classification integration[J]. ISPRS International Journal of Geo-Information,2018,7(11):443.
[12]	何文秀,石云.黄土丘陵沟壑区地形复杂度分析[J].测绘科学,2015,40(10):146. HE Wenxiu, SHI Yun. Analysis of terrain complexity in loess hilly and gully region[J].Science of Surveying and Mapping,2015,40(10):146.
[13]	刘春,孙伟伟,吴杭彬.DEM地形复杂因子的确定及与地形描述精度的关系[J].武汉大学学报(信息科学版),2009,34(9):1014. LIU Chun, SUN Weiwei, WU Hangbin.Terrain complexity factor and its relationship with accuracy of DEM terrain representation[J].Geomatics and Information Science of Wuhan University,2009,34(9):1014.
[14]	汤国安.我国数字高程模型与数字地形分析研究进展[J].地理学报,2014,69(9):1305. TANG Guo'an. Research progress of digital elevation model and digital terrain analysis in my country[J].Acta Geographica Sinica,2014,69(9):1305.
[15]	张亮.矢量等高线曲率的计算方法研究[D].北京:中国科学院研究生院(教育部水土保持与生态环境研究中心),2014:32. ZHANG Liang. Research on calculation method of vector contour curvature[D].Beijing:Graduate School of the Chinese Academy of Sciences (Research Center for Soil and Water Conservation and Ecological Environment, Ministry of Education),2014:32.
[16]	陈楠.剖面曲率精度变化与DEM分辨率关系[J].中国矿业大学学报,2013,42(1):147. CHEN Nan. The relationship between the accuracy of profile curvature and DEM resolution[J].Journal of China University of Mining & Technology,2013,42(1):147.
[17]	张倩宁,黄泽纯,徐柱,等.一种自适应定权地形复杂度模型[J].山地学报,2017,35(2):230. ZHANG Qianning, HUANG Zechun, XU Zhu, et al. An adaptive terrain complexity model with fixed weight[J].Mountain Research,2017,35(2):230.
[18]	高蜻,唐丽霞,谷晓平,等.基于ArcGIS的望谟河流域地势起伏度分析[J].中国水土保持科学,2015,13(4):9. GAO Qing, TANG Lixia, GU Xiaoping, et al. Analysis of ArcGIS-based relief amplitude of the Wangmo river watershed in Guizhou[J]. Science of Soil and Water Conservation,2015,13(4):9.
[19]	TAROLLI P, FONTANA G D. Hillslope-to-valley transition morphology:New opportunities from high resolution DTMs[J]. Geomorphology,2009,113(1).
[20]	牛叔文,李景满,李升红,等.基于地形复杂度的建设用地适宜性评价:以甘肃省天水市为例[J].资源科学,2014,36(10):2092. NIU Shuwen, LI Jingman, LI Shenghong, et al. Evaluation of suitability of construction land based on terrain complexity:A case study of Tianshui city, Gansu province[J].Resources Science,2014,36(10):2092.