A Multivariate Model for Coastal Water Quality Mapping Using Satellite Remote Sensing Images

作者：Su Yuan Fong; Liou Jun Jih; Hou Ju Chen; Hung Wei Chun; Hsu Shu Mei; Lien Yi Ting; Su Ming Daw; Cheng Ke Sheng^*; Wang Yeng Fung

来源：Sensors, 2008, 8(10): 6321-6339.

DOI：10.3390/s8106321

• Remote sensing
• coastal water quality
• environmental monitoring
• water quality mapping

This study demonstrates the feasibility of coastal water quality mapping using satellite remote sensing images. Water quality sampling campaigns were conducted over a coastal area in northern Taiwan for measurements of three water quality variables including Secchi disk depth, turbidity, and total suspended solids. SPOT satellite images nearly concurrent with the water quality sampling campaigns were also acquired. A spectral reflectance estimation scheme proposed in this study was applied to SPOT multispectral images for estimation of the sea surface reflectance. Two models, univariate and multivariate, for water quality estimation using the sea surface reflectance derived from SPOT images were established. The multivariate model takes into consideration the wavelength-dependent combined effect of individual seawater constituents on the sea surface reflectance and is superior over the univariate model. Finally, quantitative coastal water quality mapping was accomplished by substituting the pixel-specific spectral reflectance into the multivariate water quality estimation model.

• 出版日期2008-10