The research object of the present paper is the water quality of HanShiqiao wetland water. Water spectrum and quality parameters were measured on thesite and in the lab. The authors simulated the relationships between waterquality parameters and the best bands or combination, and built the multiplelinear regression equation to obtain characteristic spectrum of the key waterquality parameters. Besides, several key issues involved in applying ASTERsatellite imagery to water quality include atmospheric correction, discussingmethods for ASTER data bands analysis, and choosing the best bands and bandcombination. Results indicated that although the simulation model is notuniversal, the analysis of spectral characteristics based on ground spectrometercould provide foundations for the choice of remote sensing characteristics bands.The band ratio of water quality parameters simulated from ASTER spectralcharacteristics moves to relatively long-wave band. Finally, based on theanalysis of ASTER remote sensing characteristics bands, the authors built waterquality parameters regression model. The models for water quality parameters wererecommended, and the accuracies of these models were analyzed. Making use ofregression model, we executed spatial distribution map of water qualityparameters to achieve wetland water monitoring with remote sensing in terms ofvariation in space and with time.Semi-empirical algorithms(2006BAD10A06-03, 2006BAB15B05)资助