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Proceedings Paper

Chlorophyll-a concentration estimated by hyperspectral remote sensing in Liaodong Bay
Author(s): Jingjing Wang; Qingjiu Tian; Yingcheng Lu
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Paper Abstract

The research was intended to estimate Chl-a concentration of coastal water in Liaodong Bay, China based on reflectance spectra data collected in situ and satellite hyperspectral data—Hyperion image. After processing and atmospheric correction, the reflectance of water extracted from Hyperion image can be used to express the spectral characteristics of different Chl-a concentration. Ratio calculation of reflectance between absorption and reflection peaks of Chl-a, the derivative analysis of spectrum can greatly improve the correlation with Chl-a concentration. Exponential model of Chl-a concentration with variable of band ratio between 681nm and 671nm was applied to Hyperion and the mean absolute percent error is 34% and root mean square error value is 3.30μgl-1.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749807 (30 October 2009); doi: 10.1117/12.831247
Show Author Affiliations
Jingjing Wang, Jiangsu Academy of Agricultural Sciences (China)
Nanjing Univ. (China)
Qingjiu Tian, Nanjing Univ. (China)
Yingcheng Lu, Nanjing Univ. (China)

Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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