A universal method to recognize global big rivers estuarine turbidity maximum from remote sensing
文献类型：期刊论文
| 作者 | Wang, Chongyang9; Zhou, Chenghu8; Zhou, Xia9; Duan, Mingjie7; Yan, Yingwei6; Wang, Jiaxue5; Wang, Li4; Jia, Kai9; Sun, Yishan9; Wang, Danni3 |
| 刊名 | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
 |
| 出版日期 | 2025-02-01 |
| 卷号 | 220页码:509-523 |
| 关键词 | Estuarine turbidity maximum Universal method Global big rivers Band reflectance Landsat Sentinel |
| ISSN号 | 0924-2716 |
| DOI | 10.1016/j.isprsjprs.2025.01.002 |
| 通讯作者 | Zhou, Xia(zhouxia@gdas.ac.cn) ; Chen, Jinyue(chenjinyue@sdu.edu.cn) |
| 英文摘要 | The study of estuarine turbidity maximum (ETM) has a long history. However, the algorithms and criteria for ETM identification vary significantly across estuaries and hydrological regimes. Moreover, almost all of these methods depend on derived water parameters, such as suspended sediment concentration and turbidity, which inevitably result in inherent errors in the ETM results. To overcome these disadvantages and develop a standard ETM recognition method that has good applicability in most estuaries, this study analyzed the spectral characteristics of 23 big river estuaries worldwide using Landsat and Sentinel sensor images. Based on the difference in band reflectance between the ETM and normal water bodies, we first proposed a universal method, defined the product of the ratio of blue, green and red bands to their average value over the entire estuary, namely, Red Green Blue Turbidity (RGBT). Combined with the corresponding remote sensing images, the ETM distributions the 23 estuaries were extracted and analyzed. It was found that the ETM recognition results for the Pearl River Estuary on different dates (2004, 2015) were consistent with those of previous studies. The validation accuracies (Q) reached 0.8335 and 0.8800, respectively, illustrating the effectiveness of the RGBT method in the Pearl River Estuary. For the other 22 estuaries, the RGBT-based ETM recognition results were evaluated using the corresponding visual interpretation. Comparisons and details of the ETM boundaries indicate that the method works well for all types of estuaries. It also included accurately identifying slightly turbid plumes from maritime wind turbines and bridge piers. The validation accuracy exceeded 0.9 (0.9025-0.9733) in seven estuaries, and surpassed 0.7898 in the remaining 15 estuaries. The RGBT method generally achieved higher accuracy for estuaries in Asia and Europe, followed by estuaries in America and Oceania, with a relatively lower accuracy for estuaries in Africa. But the variation in the accuracy in different regions was small. The average validation accuracy of all estuaries and different seasons was as high as 0.9027. This demonstrates that the unified method with same criterion can directly and effectively recognize ETM distributions from multi-source remote sensing data different estuaries worldwide. |
| WOS关键词 | SUSPENDED SEDIMENT ; MACROTIDAL ESTUARY ; YANGTZE ESTUARY ; ZONE ; WATERS ; GIRONDE ; REFLECTANCE ; MECHANISMS ; SALINITY ; DYNAMICS |
| 资助项目 | National Natural Science Foundation of China[41801364] ; Guangdong Basic and Applied Basic Research Foundation[2024A1515030083] ; Guangdong Basic and Applied Basic Research Foundation[2022A1515110341] ; Young Talent Project of GDAS[2023GDASQNRC-0212] ; GDAS' Project of Science and Technology Development[2023GDASZH-2023010101] ; GDAS' Project of Science and Technology Development[2024GDASZH-2024010102] ; GDAS' Project of Science and Technology Development[2018GDASCX-0403] ; Science and Technology Program of Guangzhou[2023A04J1536] ; Zhuhai Science and Technology Plan Project[2320004000154] |
| WOS研究方向 | Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001398167900001 |
| 出版者 | ELSEVIER |
| 资助机构 | National Natural Science Foundation of China ; Guangdong Basic and Applied Basic Research Foundation ; Young Talent Project of GDAS ; GDAS' Project of Science and Technology Development ; Science and Technology Program of Guangzhou ; Zhuhai Science and Technology Plan Project |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/212739]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhou, Xia; Chen, Jinyue |
| 作者单位 | 1.Shandong Univ, Environm Res Inst, Academician Workstat Big Data Ecol & Environm, Qingdao 266237, Peoples R China 2.Shandong Univ, Shenzhen Res Inst, Shenzhen 518057, Peoples R China 3.Guangzhou Xinhua Univ, Dept Resources & Urban Planning, Guangzhou 510520, Peoples R China 4.Yangling Vocat & Tech Coll, Sch Transportat & Mapping Engn, Yangling 712100, Peoples R China 5.North China Univ Water Resources & Elect Power, Coll Surveying & Geoinformat, Zhengzhou 450045, Peoples R China 6.Natl Univ Singapore, Dept Geog, Singapore City 117568, Singapore 7.Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong 999077, Peoples R China 8.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 9.Guangdong Acad Sci, Guangzhou Inst Geog, Guangdong Open Lab Geospatial Informat Technol & A, Key Lab Guangdong Utilizat Remote Sensing & Geog I, Guangzhou 510070, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Chongyang,Zhou, Chenghu,Zhou, Xia,et al. A universal method to recognize global big rivers estuarine turbidity maximum from remote sensing[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2025,220:509-523. |
| APA | Wang, Chongyang.,Zhou, Chenghu.,Zhou, Xia.,Duan, Mingjie.,Yan, Yingwei.,...&Chen, Shuisen.(2025).A universal method to recognize global big rivers estuarine turbidity maximum from remote sensing.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,220,509-523. |
| MLA | Wang, Chongyang,et al."A universal method to recognize global big rivers estuarine turbidity maximum from remote sensing".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 220(2025):509-523. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。