Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/rs13163084 |
A New Method for Automated Measurement of Sand Dune Migration Based on Multi-Temporal LiDAR-Derived Digital Elevation Models | |
Dong, Pinliang; Xia, Jisheng; Zhong, Ruofei; Zhao, Zhifang; Tan, Shucheng | |
通讯作者 | Xia, JS (corresponding author), Yunnan Univ, Sch Earth Sci, Kunming 650500, Yunnan, Peoples R China. |
来源期刊 | REMOTE SENSING
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EISSN | 2072-4292 |
出版年 | 2021 |
卷号 | 13期号:16 |
英文摘要 | While remote sensing methods have long been used for coastal and desert sand dune studies, few methods have been developed for the automated measurement of dune migration in large dune fields. To overcome a major limitation of an existing method named pairs of source and target points (PSTP), this paper proposes a toe line tracking (TLT) method for the automated measurement of dune migration rate and direction using multi-temporal digital elevation models (DEM) derived from light detection and ranging (LiDAR) data. Based on a few simple parameters, the TLT method automatically extracts the base level of a dune field and toe lines of individual dunes. The toe line polygons derived from two DEMs are processed using logical operators and other spatial analysis methods implemented in the Python programming language in a geographic information system. By generating thousands of random sampling points along source toe lines, dune migration distances and directions are calculated and saved with the sampling point feature class. The application of the TLT method was demonstrated using multi-temporal LiDAR-derived DEMs for a 9 km by 2.4 km area in the White Sands Dune Field in New Mexico (USA). Dune migration distances and directions for three periods (24 January 2009-26 September 2009, 26 September 2009-6 June 2010, and 24 January 2009-6 January 2010) were calculated. Sensitivity analyses were carried out using different window sizes and toe heights. The results suggest that both PSTP and TLT produce similar sand dune migration rates and directions, but TLT is a more generic method that works for dunes with or without slipfaces that reach the angle of repose. |
英文关键词 | LiDAR spatial analysis sand dune migration toe line tracking |
类型 | Article |
语种 | 英语 |
开放获取类型 | Green Published, gold |
收录类别 | SCI-E |
WOS记录号 | WOS:000689775300001 |
WOS关键词 | WHITE SANDS ; FIELD PATTERN ; LINEAR DUNES ; DYNAMICS ; DESERT ; GEOMORPHOLOGY ; RESOLUTION ; PLATEAU ; EARTH |
WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/364477 |
作者单位 | [Dong, Pinliang] Univ North Texas, Dept Geog & Environm, Denton, TX 76203 USA; [Xia, Jisheng; Zhao, Zhifang; Tan, Shucheng] Yunnan Univ, Sch Earth Sci, Kunming 650500, Yunnan, Peoples R China; [Zhong, Ruofei] Capital Normal Univ, Beijing Adv Innovat Ctr Imaging Theory & Technol, 105 West 3 Ring North Rd, Beijing 100048, Peoples R China; [Zhao, Zhifang] MNR Key Lab Sanjiang Metallogeny & Resource Explo, Kunming 650500, Yunnan, Peoples R China |
推荐引用方式 GB/T 7714 | Dong, Pinliang,Xia, Jisheng,Zhong, Ruofei,et al. A New Method for Automated Measurement of Sand Dune Migration Based on Multi-Temporal LiDAR-Derived Digital Elevation Models[J],2021,13(16). |
APA | Dong, Pinliang,Xia, Jisheng,Zhong, Ruofei,Zhao, Zhifang,&Tan, Shucheng.(2021).A New Method for Automated Measurement of Sand Dune Migration Based on Multi-Temporal LiDAR-Derived Digital Elevation Models.REMOTE SENSING,13(16). |
MLA | Dong, Pinliang,et al."A New Method for Automated Measurement of Sand Dune Migration Based on Multi-Temporal LiDAR-Derived Digital Elevation Models".REMOTE SENSING 13.16(2021). |
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