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题名: A hybrid algorithm for estimating the chlorophyll-a concentration across different trophic states in Asian inland waters
作者: Matsushita, Bunkei1; Yang, Wei2; Yu, Gongliang3; Oyama, Youichi1; Yoshimura, Kazuya4; Fukushima, Takehiko1
通讯作者: Matsushita, B (reprint author), Univ Tsukuba, Fac Life & Environm Sci, Tennoudai 1-1-1, Tsukuba, Ibaraki 3058572, Japan.
关键词: Chlorophyll-a concentration ; Red-NIR algorithm ; Blue-green algorithm ; Maximum chlorophyll index ; Hybrid algorithm ; Asian lakes
刊名: ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
发表日期: 2015-04-01
DOI: 10.1016/j.isprsjprs.2014.12.022
卷: 102, 页:28-37
收录类别: SCI
文章类型: Article
部门归属: [Matsushita, Bunkei ; Oyama, Youichi ; Fukushima, Takehiko] Univ Tsukuba, Fac Life & Environm Sci, Tsukuba, Ibaraki 3058572, Japan ; [Yang, Wei] Japan Agcy Marine Earth Sci & Technol, Dept Environm Geochem Cycle Res, Yokohama, Kanagawa 2360001, Japan ; [Yu, Gongliang] Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Hubei, Peoples R China ; [Yoshimura, Kazuya] Japan Atom Energy Agcy, Headquarters Fukushima Partnership Operat, Tokyo 1008577, Japan
WOS标题词: Science & Technology ; Physical Sciences ; Technology
类目[WOS]: Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
研究领域[WOS]: Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
英文摘要: The chlorophyll-a (Chl-a) concentration is one of the most important parameters for evaluating the state of water environments, which often vary markedly across both time and space. Here we propose a hybrid algorithm for retrieving the Chl-a values from in situ remote sensing data. This hybrid algorithm contains three individual Chl-a estimation algorithms that were previously developed for clear waters (a blue-green algorithm), turbid waters (a two-band index-based red-near infrared algorithm), and highly turbid waters (a three-band index-based red-near infrared algorithm). The MCI value (maximum chlorophyll index) was used to switch the three algorithms. To evaluate the performance of the proposed hybrid algorithm, we used the in situ remote sensing reflectance and Chl-a values collected from five Asian lakes, the trophic status of which varied from oligotrophic to hypertrophic. The results showed that the hybrid algorithm performed well for a wide variety of optical properties, with the NMAE (normalized mean absolute error) of 13.3%. Our results indicate that the proposed hybrid algorithm has the potential for use as an operational tool for monitoring Chl-a in waters with widely varying trophic conditions without the requirement of reparameterization. (C) 2015 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
关键词[WOS]: TURBID PRODUCTIVE WATERS ; NEAR-INFRARED BANDS ; REMOTE ESTIMATION ; SEMIANALYTICAL MODEL ; LAKE KASUMIGAURA ; COASTAL WATERS ; RED ; OCEAN ; REFLECTANCE ; VALIDATION
语种: 英语
WOS记录号: WOS:000352665500003
ISSN号: 0924-2716
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ihb.ac.cn/handle/342005/25762
Appears in Collections:藻类生物学及应用研究中心_期刊论文

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作者单位: 1.Univ Tsukuba, Fac Life & Environm Sci, Tsukuba, Ibaraki 3058572, Japan
2.Japan Agcy Marine Earth Sci & Technol, Dept Environm Geochem Cycle Res, Yokohama, Kanagawa 2360001, Japan
3.Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Hubei, Peoples R China
4.Japan Atom Energy Agcy, Headquarters Fukushima Partnership Operat, Tokyo 1008577, Japan
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