18 November 2014 Chlorophyll-a remote sensing retrieval in Taihu lake using a conceptually optimized model: based on HJ-1 satellite hyperspectral imager data
Author Affiliations +
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chuanqing Wu, Li Zhu, Xuelei Wang, 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); doi: 10.1117/12.2069952; https://doi.org/10.1117/12.2069952
PROCEEDINGS
9 PAGES


SHARE
Back to Top