Spectral Characteristics Analysis and Remote Sensing Inversion of Water Quality Parameters in Han Shiqiao Wetland
文献类型： 外文期刊
作者： Du Wei-jing 1 ; Li Shu-min 1 ; Li Hong 1 ; Sun Dan-feng 2 ; Zhou Lian-di 1 ;
作者机构： 1.Beijing Acad Agr & Forestry Sci, Inst Agr Integrated Dev, Beijing 100097, Peoples R China
2.China Agr Univ, Res & Environm Coll, Beijing 100094, Peoples R China
关键词： Remote sensing monitoring;Water quality;Spectral characteristics;Semi-empirical algorithms
期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）
ISSN： 1000-0593
年卷期： 2010 年 30 卷 3 期
页码：
收录情况： SCI
摘要： The research object of the present paper is the water quality of Han Shiqiao wetland water. Water spectrum and quality parameters were measured oil 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 oil ground spectrometer could provide foundations for the choice of remote sensing characteristics bands. The hand ratio of water quality parameters simulated from ASTER spectral characteristics moves to relatively long-wave hand. 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.
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