Mapping topo-bathymetry of transparent tufa lakes using UAV-based photogrammetry and RGB imagery
文献类型：期刊论文
| 作者 | He, Jinchen1,2; Lin, Jiayuan1,2; Ma, Mingguo1,2; Liao, Xiaohan3 |
| 刊名 | GEOMORPHOLOGY
 |
| 出版日期 | 2021-09-15 |
| 卷号 | 389页码:11 |
| ISSN号 | 0169-555X |
| 关键词 | Tufa lake Bathymetry Unmanned aerial vehicle (UAV) Refraction correction Band difference model |
| 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. |
| WOS关键词 | FROM-MOTION PHOTOGRAMMETRY ; SHALLOW STREAM BATHYMETRY ; REMOTE-SENSING TECHNIQUES ; SATELLITE IMAGERY ; CLEAR-WATER ; TOPOGRAPHY ; RESOLUTION ; RIVER ; LIDAR ; RECONSTRUCTION |
| 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 |
| 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, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat &, Chongqing 400715, Peoples R China 2.Southwest Univ, Chongqing Engn Res Ctr Remote Sensing Big Data Ap, Sch Geog Sci, 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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