{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T20:22:41Z","timestamp":1771273361257,"version":"3.50.1"},"reference-count":62,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2024,11,20]],"date-time":"2024-11-20T00:00:00Z","timestamp":1732060800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Fundamental Research Funds for the Central Universities","award":["2022-4-ZD-05"],"award-info":[{"award-number":["2022-4-ZD-05"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["2023-3-YB-12"],"award-info":[{"award-number":["2023-3-YB-12"]}]},{"name":"\u201cSino-German Cooperation 2.0\u201d","award":["2022-4-ZD-05"],"award-info":[{"award-number":["2022-4-ZD-05"]}]},{"name":"\u201cSino-German Cooperation 2.0\u201d","award":["2023-3-YB-12"],"award-info":[{"award-number":["2023-3-YB-12"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In recent decades, the rapid expansion of phytoplankton blooms caused by lake eutrophication has led to severe ecological destruction and impeded the sustainable economic development of local regions. Chlorophyll-a (Chl-a) is commonly used as a biological indicator to detect phytoplankton blooms due to its ease of detection. To improve the accuracy of Chl-a estimation in aquatic systems, an accurate understanding of its true spectral characteristics is imperative. In this study, a comprehensive and realistic experimental scheme was designed from the perspective of real algal strains and real water states. Both in situ and laboratory-based hyperspectral data were collected and analyzed. The results show that there are huge spectral differences not only between laboratory-cultured and real algae strains, but also between static and disturbed water surface conditions. A total of ten different categories of spectral characteristics were selected in both disturbed and static states. Then, six parameters with the best models to the Chl-a concentration were identified. Finally, two linear models of the Chl-a concentration at peaks of 810 nm and 700 nm were identified as the best estimation models for the static and disturbed states, respectively. The results provide a scientific reference for the large-scale retrieval of the Chl-a concentration using satellite remote sensing data. This advancement benefits inland water monitoring and management efforts.<\/jats:p>","DOI":"10.3390\/rs16224323","type":"journal-article","created":{"date-parts":[[2024,11,20]],"date-time":"2024-11-20T03:57:04Z","timestamp":1732075024000},"page":"4323","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Optimal Hyperspectral Characteristic Parameters Construction and Concentration Retrieval for Inland Water Chlorophyll-a Under Different Motion States"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8832-993X","authenticated-orcid":false,"given":"Jie","family":"Yu","sequence":"first","affiliation":[{"name":"College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China"},{"name":"Research Center for Remote Sensing Technology and Application, Tongji University, Shanghai 200092, China"}]},{"given":"Zhonghan","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China"},{"name":"Research Center for Remote Sensing Technology and Application, Tongji University, Shanghai 200092, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6335-6149","authenticated-orcid":false,"given":"Yi","family":"Lin","sequence":"additional","affiliation":[{"name":"College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China"},{"name":"Research Center for Remote Sensing Technology and Application, Tongji University, Shanghai 200092, China"}]},{"given":"Yuguan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shanghai Tuyuansu Digital Technology Co., Ltd., Shanghai 201203, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1056-9159","authenticated-orcid":false,"given":"Qin","family":"Ye","sequence":"additional","affiliation":[{"name":"College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China"},{"name":"Research Center for Remote Sensing Technology and Application, Tongji University, Shanghai 200092, China"}]},{"given":"Xuefei","family":"Zhou","sequence":"additional","affiliation":[{"name":"College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China"}]},{"given":"Hongtao","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China"}]},{"given":"Mingzhi","family":"Qu","sequence":"additional","affiliation":[{"name":"Shanghai Jianke Environmental Technology Co., Ltd., Xuhui District, Shanghai 200032, China"}]},{"given":"Wenwei","family":"Ren","sequence":"additional","affiliation":[{"name":"College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,11,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1093\/nsr\/nwz103","article-title":"Changes in China\u2019s lakes: Climate and human impacts","volume":"7","author":"Tao","year":"2020","journal-title":"Natl. 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