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Retrieval of particulate organic carbon concentration in Erhai Lake using sentinel-3 remote sensing data

文献类型：期刊论文

作者Xu, Hang3,4; Tang, Bo-Hui2,3,4; Wang, Dong3,4; Li, Menghua3,4; Fan, Dong3,4; Ma, Xianguang1,4
刊名INTERNATIONAL JOURNAL OF REMOTE SENSING
出版日期2024-06-02
卷号45期号:11页码:3717-3736
关键词Particulate organic carbon Sentinel-3 OLCI three-band algorithm Erhai Lake
ISSN号0143-1161
DOI10.1080/01431161.2024.2354071
英文摘要Particulate organic carbon (POC) plays a crucial role in the carbon cycle of inland lake ecosystems. The utilization of remote sensing satellite data provides an effective approach for monitoring the temporal and spatial variations in POC concentration within inland water. However, Erhai Lake, situated in the unique natural environment of the Yunnan-Kweichow Plateau, poses distinct challenges due to the complex and diverse origin of its water quality elements. Existing methods face difficulties in accurately detecting POC concentration in Erhai Lake. In this study, 112 water samples and 574 in-situ remote sensing reflectance curves were collected from Erhai Lake during April, May, and June 2023. The analysis of the optical characteristics of the water in Erhai Lake revealed the closest relationship between the concentration of total particulate matter and POC. Consequently, a POC concentration inversion algorithm was developed, utilizing bands 8, 12, and 16 of Sentinel-3 Ocean and Land Colour Instrument (OLCI). Various POC concentration inversion algorithms were evaluated utilizing a separate dataset. The results indicate that the three-band method offers superior accuracy in POC concentration inversion for Erhai Lake, with a root mean square error (RMSE) of 0.13 mg/L and a mean absolute percentage error (MAPE) of 28.80%. The three-band method was effectively applied to OLCI images from April, May, and June 2023, enabling the analysis of the spatiotemporal distribution of POC in Erhai Lake.
WOS关键词INLAND WATERS ; CHLOROPHYLL-A ; ABSORPTION CHARACTERISTICS ; MATTER CDOM ; POC ; PARTICLES ; ISOTOPE ; TAIHU ; REFLECTANCE ; ALGORITHMS
资助项目National Natural Science Foundation of China ; Erhai Management Bureau of Dali Bai Autonomous Prefecture in Yunnan Province
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001228768700001
出版者TAYLOR & FRANCIS LTD
资助机构National Natural Science Foundation of China ; Erhai Management Bureau of Dali Bai Autonomous Prefecture in Yunnan Province
源URL[http://ir.igsnrr.ac.cn/handle/311030/205589]  
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Tang, Bo-Hui
作者单位1.Yunnan Planning & Design Inst Land Resources, Kunming, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
3.Yunnan Prov Dept Educ, Key Lab Plateau Remote Sensing, Kunming, Peoples R China
4.Kunming Univ Sci & Technol, Fac Land Resource Engn, Kunming 650093, Peoples R China
推荐引用方式
GB/T 7714		 Xu, Hang,Tang, Bo-Hui,Wang, Dong,et al. Retrieval of particulate organic carbon concentration in Erhai Lake using sentinel-3 remote sensing data[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2024,45(11):3717-3736.
APA Xu, Hang,Tang, Bo-Hui,Wang, Dong,Li, Menghua,Fan, Dong,&Ma, Xianguang.(2024).Retrieval of particulate organic carbon concentration in Erhai Lake using sentinel-3 remote sensing data.INTERNATIONAL JOURNAL OF REMOTE SENSING,45(11),3717-3736.
MLA Xu, Hang,et al."Retrieval of particulate organic carbon concentration in Erhai Lake using sentinel-3 remote sensing data".INTERNATIONAL JOURNAL OF REMOTE SENSING 45.11(2024):3717-3736.

入库方式： OAI收割

来源：地理科学与资源研究所

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