Chlorophyll-a remote sensing retrieval in Taihu lake using a conceptually optimized model: based on HJ-1 satellite hyperspectral imager data

Chuanqing Wu; Li Zhu; Xuelei Wang; Yanjuan Yao

doi:10.1117/12.2069952

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18 November 2014 Chlorophyll-a remote sensing retrieval in Taihu lake using a conceptually optimized model: based on HJ-1 satellite hyperspectral imager data

Chuanqing Wu, Li Zhu, Xuelei Wang, Yanjuan Yao

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Proceedings Volume 9263, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V; 92631L (2014) https://doi.org/10.1117/12.2069952
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China

Abstract

A conceptual model containing reflectance in three spectral bands in the red and near infrared ranges of the spectrum can be used to retrieve vegetation pigment concentration. Based on this model, the bio-optical properties of Chlorophyll-a (Chl-a), suspended solids, dissolved organic matter and water molecules were analyzed in this paper, by using in-situ spectra data, optical parameters and water quality parameters in Taihu Lake. Under the band range determined by spectral feature analysis, the optimal combination of bands (678 nm, 696 nm and 748 nm) was selected through the iterative method, to compose an optimized band combination in order to build the Chl-a semi-analytical model. Based on hyper-spectral imager (HSI) data carried on the Environmental 1 (HJ-1) satellite, this model was used successfully to retrieve the Chl-a concentration in Taihu Lake.

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Chuanqing Wu, Li Zhu, Xuelei Wang, and Yanjuan Yao "Chlorophyll-a remote sensing retrieval in Taihu lake using a conceptually optimized model: based on HJ-1 satellite hyperspectral imager data", Proc. SPIE 9263, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V, 92631L (18 November 2014); https://doi.org/10.1117/12.2069952

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