title: [Spectral characteristics analysis and remote sensing inversion of water quality parameters in Han Shiqiao wetland].
abstract: The research object of the present paper is the water quality of Han Shiqiao wetland water. Water spectrum and quality parameters were measured on the site and in the lab. The authors simulated the relationships between water quality parameters and the best bands or combination, and built the multiple linear regression equation to obtain characteristic spectrum of the key water quality parameters. Besides, several key issues involved in applying ASTER satellite imagery to water quality include atmospheric correction, discussing methods for ASTER data bands analysis, and choosing the best bands and band combination. Results indicated that although the simulation model is not universal, the analysis of spectral characteristics based on ground spectrometer could provide foundations for the choice of remote sensing characteristics bands. The band ratio of water quality parameters simulated from ASTER spectral characteristics moves to relatively long-wave band. Finally, based on the analysis of ASTER remote sensing characteristics bands, the authors built water quality parameters regression model. The models for water quality parameters were recommended, and the accuracies of these models were analyzed. Making use of regression model, we executed spatial distribution map of water quality parameters to achieve wetland water monitoring with remote sensing in terms of variation in space and with time.
authors.affiliation: Institute of Agricultural Integrated Development, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China.
authors.forename: Wei-Jing
authors.initials: WJ
authors.lastname: Du
authors.forename: Shu-Min
authors.initials: SM
authors.lastname: Li
authors.forename: Hong
authors.initials: H
authors.lastname: Li
authors.forename: Dan-Feng
authors.initials: DF
authors.lastname: Sun
authors.forename: Lian-Di
authors.initials: LD
authors.lastname: Zhou