Seamless observations of chlorophyll-a from OLCI and VIIRS measurements in inland lakes
文献类型：期刊论文
| 作者 | Cao, Zhigang4,5; Wang, Menghua1; Ma, Ronghua2,5; Duan, Hongtao2,5; Jiang, Lide1,3; Shen, Ming5; Xue, Kun5; Su, Fenzhen4 |
| 刊名 | WATER RESEARCH
 |
| 出版日期 | 2025-02-15 |
| 卷号 | 270页码:122825 |
| 关键词 | China Eutrophication Inland waters Machine learning Taihu Tibetan plateau |
| ISSN号 | 0043-1354 |
| DOI | 10.1016/j.watres.2024.122825 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The Visible Infrared Imaging Radiometer Suite (VIIRS) and Ocean and Land Colour Instrument (OLCI) are two main instruments for the ocean color community to observe the global lake environment in the following decades. Despite their applications to retrieve various water optical parameters, the spatial and temporal resolutions of individual sensors cannot meet the requirements for lake monitoring effectively. To date, the possibility of complementary observations through the OLCI-VIIRS data to lake aquatic environments remains unclear. Here, we evaluated the agreement between OLCI and VIIRS-derived remote sensing reflectance (R-rs(lambda)) and chlorophyll-a (Chl-a) in Chinese lakes spanning a variety of lake characteristics. We find that OLCI R-rs(lambda) data generated by the NOAA Multi-Sensor Level-1 to Level-2 (MSL12) system perform satisfactory accuracy in 20 Chinese lakes with less than 30 % uncertainty from 490 nm to 865 nm and show good agreements with VIIRS R-rs(lambda) in more than 200 large lakes in China (> 0.90 correlation). The deep neural network algorithm outperformed several state-of-the-art algorithms in Chl-a estimates from OLCI images (23 % bias). The spatial and temporal patterns of OLCI and VIIRS-derived Chl-a presented an excellent consistency with similar to 20 % difference, suggesting the feasibility of seamless OLCI-VIIRS observations in Chl-a for lakes. With the OLCI data and wellvalidated algorithm, we revealed the high-resolution maps of Chl-a in 681 lakes of larger than 10 km(2) in China, which significantly filled the results in small-medium lakes where VIIRS did not observe before. This study demonstrates the reasonable agreement of OLCI-VIIRS observations in lakes and proposes an initiative to generate seamless data records in inland lakes through OLCI-VIIRS data. |
| URL标识 | 查看原文 |
| WOS关键词 | REMOTE-SENSING REFLECTANCE ; OCEAN COLOR ; WATER ; RETRIEVAL ; ALGORITHM ; PRODUCTS ; RADIANCE ; SPECTRA ; SEAWIFS ; MERIS |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001367692600001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/211290]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.NOAA, NESDIS, Ctr Satellite Applicat & Res, College Pk, MD 20740 USA; 2.Univ Chinese Acad Sci Nanjing UCASNJ, Nanjing 211135, Peoples R China; 3.Colorado State Univ, CIRA, Ft Collins, CO USA 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; 5.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Lake & Watershed Sci Water Secur, Nanjing 210008, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Cao, Zhigang,Wang, Menghua,Ma, Ronghua,et al. Seamless observations of chlorophyll-a from OLCI and VIIRS measurements in inland lakes[J]. WATER RESEARCH,2025,270:122825. |
| APA | Cao, Zhigang.,Wang, Menghua.,Ma, Ronghua.,Duan, Hongtao.,Jiang, Lide.,...&Su, Fenzhen.(2025).Seamless observations of chlorophyll-a from OLCI and VIIRS measurements in inland lakes.WATER RESEARCH,270,122825. |
| MLA | Cao, Zhigang,et al."Seamless observations of chlorophyll-a from OLCI and VIIRS measurements in inland lakes".WATER RESEARCH 270(2025):122825. |
入库方式： OAI收割
来源：地理科学与资源研究所
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