Accurate estimation of surface water volume in tufa lake group using UAV-captured imagery and ANNs
文献类型：期刊论文
| 作者 | He, Jinchen1,2; Lin, Jiayuan1; Zhang, Xianwei1; Liao, Xiaohan3 |
| 刊名 | MEASUREMENT
 |
| 出版日期 | 2023-10-01 |
| 卷号 | 220页码:10 |
| ISSN号 | 0263-2241 |
| 关键词 | Tufa lake group Surface water volume Unmanned aerial vehicle (UAV) Bathymetry Artificial neural network (ANN) |
| DOI | 10.1016/j.measurement.2023.113391 |
| 通讯作者 | Lin, Jiayuan(joeylin@swu.edu.cn) |
| 英文摘要 | Quantitative acquisition of surface water volume of tufa lake group is significant for protecting the tufa landscapes. Limited by low spatial resolution, satellite remote sensing failed to extract the surface water distribution of small and scattered tufa lakes. In recent years, Unmanned Aerial Vehicle (UAV) remote sensing has been increasingly applied to survey aquatic resources and environments, posing great potential for accurately measuring surface water volume of tufa lake group. In this paper, taking the Shuzheng Lakes in Jiuzhai Valley of China as the study site, we used UAV-captured images and Artificial Neural Network (ANN) models to precisely estimate the surface water volume of the tufa lake group. Digital Surface Model (DSM) and orthomosaic were first generated using aerial triangulation. Next, the two classification networks were trained to separate water from vegetation, and then the water extents of individual tufa lakes were extracted. Subsequently, the water depth map of each tufa lake was retrieved using the transferred shallow and deep bathymetry networks. Lastly, the total surface water volume of tufa lake group was achieved by summing the products of pixel unit area and the water depth of each pixel. As results, the surface water volume of tufa lake group estimated by the optimum model combination was approximately 181,360 m3, and the corresponding R-squared was 0.92. These demonstrated the effectiveness of utilizing UAV-based remote sensing and integrated ANN models to accurately estimate surface water volume of tufa lakes. |
| WOS关键词 | BATHYMETRY ; RIVER ; SHALLOW ; PHOTOGRAMMETRY ; INVERSION |
| 资助项目 | Key Research and Development Program of the Sichuan Province[2022YFQ0035] ; Fundamental Research Funds for the Central Universities ; Sun Yatsen University[23ptpy98] ; Postgraduate Innovative Research Project of Chongqing[CYS23196] |
| WOS研究方向 | Engineering ; Instruments & Instrumentation |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCI LTD |
| WOS记录号 | WOS:001052911000001 |
| 资助机构 | Key Research and Development Program of the Sichuan Province ; Fundamental Research Funds for the Central Universities ; Sun Yatsen University ; Postgraduate Innovative Research Project of Chongqing |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/196725]  |
| 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 & R, Chongqing 400715, Peoples R China 2.Sun Yat Sen Univ, Sch Geospatial Engn & Sci, Zhuhai 519082, 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,Zhang, Xianwei,et al. Accurate estimation of surface water volume in tufa lake group using UAV-captured imagery and ANNs[J]. MEASUREMENT,2023,220:10. |
| APA | He, Jinchen,Lin, Jiayuan,Zhang, Xianwei,&Liao, Xiaohan.(2023).Accurate estimation of surface water volume in tufa lake group using UAV-captured imagery and ANNs.MEASUREMENT,220,10. |
| MLA | He, Jinchen,et al."Accurate estimation of surface water volume in tufa lake group using UAV-captured imagery and ANNs".MEASUREMENT 220(2023):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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