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Proceedings Paper

Multi-spectral remote sensing based water quality monitoring for Lake Tai
Author(s): Xiaohua Tong; Huan Xie; Jin Zhang; Yalei Zhang; Jianfu Zhao; Yanling Qiu
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Paper Abstract

In this paper, a practical and operative method is presented for water quality classification in Lake Tai using multi-spectral remote sensing data. The remote sensing models of chlorophyll-a and suspended sediments are developed by integration of Landsat5 TM images and in situ measurements in the period of from year 2003 to 2004. The key issues in applying multi-spectral satellite imagery to water quality are first given, including radiation calibration, geometric correction, atmospheric correction, noise elimination by spatial filtering and the spectral reflectance obtain. The multi-spectral band analysis is further studied to determine the relations between various bands emissivity, the emissivity combination and the water quality parameters. The regression models for chlorophyll-a and suspended sediments are derived, and the accuracies and correlation coefficients of the models are analyzed. The water quality parameters obtained from the regression models are tested with the in situ measurements, which proves the uniformity between these two results. This means the feasibility of the multi-spectral remote sensing data for monitoring the water quality in Lake Tai.

Paper Details

Date Published: 4 November 2005
PDF: 10 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60430S (4 November 2005); doi: 10.1117/12.654862
Show Author Affiliations
Xiaohua Tong, Tongji Univ. (China)
Huan Xie, Tongji Univ. (China)
Jin Zhang, Tongji Univ. (China)
Yalei Zhang, Tongji Univ. (China)
Jianfu Zhao, Tongji Univ. (China)
Yanling Qiu, Tongji Univ. (China)


Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

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