Remote Sensing of Water Quality in the Lake

Atmospheric Correction and Water Quality Estimation by Regression Analysis

Abstract

Remote sensing is regarded as a potentially effective data source for the measurement of water quality and for the environmental evaluation of water .bodies. In this paper, the water quality measurement by LANDASAT multispectral scanner data is described. Discussion emphasizes the estimation of the model for water quality measurement as well as the evaluation of path radiance and transmittance in the atmosphere. First, the path radiance and the transmittance were evaluated based on the linear regression analysis between the LANDSAT MSS data and the radiance data measured above the water surface. Next, the model for estimating water quality was derived based onthe linear regression analysis between the water quality parameters monitored on the lake and the LANDSAT MSS data after the atmospheric correction utilizing the evaluated path radiance and transmittance. The transparency and the suspended sediment concentration were mapped from the LANDSAT MSS images by the estimated model.