A hybrid algorithm for estimating the chlorophyll-a concentration across different trophic states in Asian inland waters

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	A hybrid algorithm for estimating the chlorophyll-a concentration across different trophic states in Asian inland waters
	Matsushita, Bunkei 1; Yang, Wei 2; Yu, Gongliang 3; Oyama, Youichi 1; Yoshimura, Kazuya 4; Fukushima, Takehiko 1
刊名	ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
	2015-04-01
卷号	102 页码:28-37
关键词	Chlorophyll-a concentration Red-NIR algorithm Blue-green algorithm Maximum chlorophyll index Hybrid algorithm Asian lakes
ISSN号	0924-2716
通讯作者	Matsushita, B (reprint author), Univ Tsukuba, Fac Life & Environm Sci, Tennoudai 1-1-1, Tsukuba, Ibaraki 3058572, Japan.
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.
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
关键词[WOS]	TURBID PRODUCTIVE WATERS ; NEAR-INFRARED BANDS ; REMOTE ESTIMATION ; SEMIANALYTICAL MODEL ; LAKE KASUMIGAURA ; COASTAL WATERS ; RED ; OCEAN ; REFLECTANCE ; VALIDATION
收录类别	SCI
语种	英语
WOS记录号	WOS:000352665500003
内容类型	期刊论文
源URL	[http://ir.ihb.ac.cn/handle/342005/25762]
专题	水生生物研究所_藻类生物学及应用研究中心_期刊论文
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
推荐引用方式 GB/T 7714	Matsushita, Bunkei,Yang, Wei,Yu, Gongliang,et al. A hybrid algorithm for estimating the chlorophyll-a concentration across different trophic states in Asian inland waters[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2015,102:28-37.
APA	Matsushita, Bunkei,Yang, Wei,Yu, Gongliang,Oyama, Youichi,Yoshimura, Kazuya,&Fukushima, Takehiko.(2015).A hybrid algorithm for estimating the chlorophyll-a concentration across different trophic states in Asian inland waters.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,102,28-37.
MLA	Matsushita, Bunkei,et al."A hybrid algorithm for estimating the chlorophyll-a concentration across different trophic states in Asian inland waters".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 102(2015):28-37.