A hybrid algorithm for estimating the chlorophyll-a concentration across different trophic states in Asian inland waters
文献类型:期刊论文
作者 | Matsushita, Bunkei1; Yang, Wei2; Yu, Gongliang3; Oyama, Youichi1; Yoshimura, Kazuya4; Fukushima, Takehiko1 |
刊名 | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
![]() |
出版日期 | 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 |
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. |
入库方式: OAI收割
来源:水生生物研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。