Mapping topo-bathymetry of transparent tufa lakes using UAV-based photogrammetry and RGB imagery

doi:10.1016/j.geomorph.2021.107832

	Mapping topo-bathymetry of transparent tufa lakes using UAV-based photogrammetry and RGB imagery
	He, Jinchen 1,2; Lin, Jiayuan 1,2; Ma, Mingguo 1,2; Liao, Xiaohan 3
刊名	GEOMORPHOLOGY
	2021-09-15
卷号	389 页码:11
关键词	Tufa lake Bathymetry Unmanned aerial vehicle (UAV) Refraction correction Band difference model
ISSN号	0169-555X
DOI	10.1016/j.geomorph.2021.107832
通讯作者	Lin, Jiayuan(joeylin@swu.edu.cn)
英文摘要	Seasonal or interannual precipitation differences lead to changes in the water level of a tufa lake, while the underwater topography affects its local depth. Therefore, topo-bathymetry is important to study and protect the aquatic environment of tufa lakes. However, traditional field-based topo-bathymetric surveying methods (e.g., sounding rod or sonar) inevitably disturb the fragile lake ecosystem. In recent years, the emerging remote sensing technology of unmanned aerial vehicles (UAV) has provided a cost-effective solution for measuring topobathymetry without disturbance. In this paper, taking Spark Lake in Jiuzhaigou, China, as an example, we captured red-green-blue (RGB) images using a fixed-wing UAV and produced a digital elevation model (DEM) prior to the Jiuzhaigou Earthquake using Structure-from-Motion (SfM) photogrammetry. The underwater topography of Spark Lake was obtained by refraction correction and water color inversion based on the DEM and orthophoto, respectively. For refraction correction, a water depth correction model based on Snell's Law was used. For water color inversion, general band ratio models were replaced by a band difference model (blue band-green band). The qualities of the resulting DEMs produced by the two methods were evaluated against the topography of the drained Spark Lake after the earthquake, and the corresponding DEMs of difference (DoD) were also analyzed. The coefficient of determination (R2) and root mean square error (RMSE) are 0.88 and 1.32 m for refraction correction, and 0.86 and 1.37 m for water color inversion, respectively. The results demonstrated the feasibility and effectiveness of applying UAV-acquired RGB imagery and the two optical remote sensing methods to topo-bathymetric mapping of transparent tufa lakes. (C) 2021 Elsevier B.V. All rights reserved.
资助项目	National Key Research and Development Program of China[2017YFB0503005] ; National Natural Science Foundation of China[32071678] ; Fundamental Research Funds for the Central Universities[SWU118134]
WOS关键词	FROM-MOTION PHOTOGRAMMETRY ; SHALLOW STREAM BATHYMETRY ; REMOTE-SENSING TECHNIQUES ; SATELLITE IMAGERY ; CLEAR-WATER ; TOPOGRAPHY ; RESOLUTION ; RIVER ; LIDAR ; RECONSTRUCTION
WOS研究方向	Physical Geography ; Geology
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000685970700002
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/164573]
专题	中国科学院地理科学与资源研究所
通讯作者	Lin, Jiayuan
作者单位	1.Southwest Univ, Chongqing Engn Res Ctr Remote Sensing Big Data Ap, Sch Geog Sci, Chongqing 400715, Peoples R China 2.Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat &, Chongqing 400715, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	He, Jinchen,Lin, Jiayuan,Ma, Mingguo,et al. Mapping topo-bathymetry of transparent tufa lakes using UAV-based photogrammetry and RGB imagery[J]. GEOMORPHOLOGY,2021,389:11.
APA	He, Jinchen,Lin, Jiayuan,Ma, Mingguo,&Liao, Xiaohan.(2021).Mapping topo-bathymetry of transparent tufa lakes using UAV-based photogrammetry and RGB imagery.GEOMORPHOLOGY,389,11.
MLA	He, Jinchen,et al."Mapping topo-bathymetry of transparent tufa lakes using UAV-based photogrammetry and RGB imagery".GEOMORPHOLOGY 389(2021):11.