Impact of Turbidity on Satellite-Derived Bathymetry: Comparative Analysis Across Seven Ports in the South China Sea
文献类型:期刊论文
作者 | Wei, Chunzhu1; Xiao, Yaqi1; Fu, Dongjie2; Zhou, Tingting3 |
刊名 | REMOTE SENSING
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出版日期 | 2024-12-01 |
卷号 | 16期号:23页码:23 |
关键词 | bathymetry turbidity Sentinel-2 Landsat-8 port areas |
DOI | 10.3390/rs16234349 |
产权排序 | 2 |
英文摘要 | This study investigates the uncertainty of satellite-derived bathymetry (SDB) in turbid port environments by integrating multi-temporal composites of Sentinel-2 and Landsat 8 satellite imagery with in situ bathymetry and turbidity data. The research aims to evaluate the effectiveness of SDB and its spatiotemporal correlation with satellite-based turbidity indicators across seven Chinese port areas. Results indicate that both Sentinel-2 and Landsat 8, using a three-band combination, achieved comparable performance in SDB estimation, with R2 values exceeding 0.85. However, turbidity showed a negative correlation with SDB accuracy, and higher turbidity levels limited the maximum retrievable water depth, resulting in SDB variances ranging from 0 to 15 m. Landsat 8 was more accurate in low to moderate turbidity environments (12-15), where SDB variance was lower, while higher turbidity (above 15) led to greater SDB variance and reduced accuracy. Sentinel-2 outperformed Landsat 8 in moderate to high turbidity environments (36-203), delivering higher R2 values and more consistent SDB estimates, making it a more reliable tool for areas with variable turbidity. These findings suggest that SDB is a viable method for bathymetric and turbidity mapping in diverse port settings, with the potential for broader application in coastal monitoring and marine management. |
WOS关键词 | SHALLOW-WATER BATHYMETRY ; SENTINEL-2 ; ALGORITHMS ; DERIVATION ; INVERSION ; IMAGERY |
资助项目 | National Natural Science Foundation of China ; Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)[311021018] ; [42471443] ; [42122007] ; [52209047] |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:001377657400001 |
出版者 | MDPI |
资助机构 | National Natural Science Foundation of China ; Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/211845] ![]() |
专题 | 资源与环境信息系统国家重点实验室_外文论文 |
通讯作者 | Zhou, Tingting |
作者单位 | 1.Sun Yat Sen Univ, Sch Geog & Planning, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Guangzhou 510275, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Guangzhou Tujian Urban Planning Survey & Design Co, Guangzhou 511300, Peoples R China |
推荐引用方式 GB/T 7714 | Wei, Chunzhu,Xiao, Yaqi,Fu, Dongjie,et al. Impact of Turbidity on Satellite-Derived Bathymetry: Comparative Analysis Across Seven Ports in the South China Sea[J]. REMOTE SENSING,2024,16(23):23. |
APA | Wei, Chunzhu,Xiao, Yaqi,Fu, Dongjie,&Zhou, Tingting.(2024).Impact of Turbidity on Satellite-Derived Bathymetry: Comparative Analysis Across Seven Ports in the South China Sea.REMOTE SENSING,16(23),23. |
MLA | Wei, Chunzhu,et al."Impact of Turbidity on Satellite-Derived Bathymetry: Comparative Analysis Across Seven Ports in the South China Sea".REMOTE SENSING 16.23(2024):23. |
入库方式: OAI收割
来源:地理科学与资源研究所
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