Paper
5 December 2016 Retrieval of chlorophyll in Hangzhou Bay based on hyperspectral satellite
Qiankun Zhu, Haiqing Huang, Feng Mao, Qiliang Hu, Qian Cheng
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Abstract
Chlorophyll concentration is one of the important parameters of water quality assessment, and the quantitative retrieval of chlorophyll concentration and its distribution is one of the main applications of remote sensing in the coastal waters. Because of its unique geographical position and economic value, Hangzhou Bay has a very important research significance. By hyperspectral remote sensing technology effectively overcomes the effect of turbid coastal for chlorophyll concentration estimates, the researchers by accurate measurement of chlorophyll spectral characteristics of chlorophyll concentration for quantitative retrieval possible. The Hyperion hyperspectral imager for Hangzhou Bay estuary area of chlorophyll remote sensing monitoring data were chlorophyll a concentration in remote sensing inversion model is constructed, and combined with pretreated Hyperion high image data inversion of regional chlorophyll a concentration, and then analyzes the uneven distribution of Hangzhou Bay Estuary chlorophyll content space, near the Yangtze River Estuary and Hangzhou Bay estuarine research area of chlorophyll concentration is lower than that far from the coast in the study area, and the conclusion of regional autumn average CHL concentration is higher than in winter.
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Qiankun Zhu, Haiqing Huang, Feng Mao, Qiliang Hu, and Qian Cheng "Retrieval of chlorophyll in Hangzhou Bay based on hyperspectral satellite", Proc. SPIE 9999, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016, 99990V (5 December 2016); https://doi.org/10.1117/12.2240837
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KEYWORDS
Data modeling

Remote sensing

Satellites

Reflectivity

Statistical modeling

Atmospheric modeling

Water

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