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Study on Remoting Sensing Monitoring Model of Water Chorollphy-a in Taihu

Author: WenJianGuang
Tutor: XuHuiPing；XiaoQing
School: Jilin University
Course: Earth Exploration and Information Technology
Keywords: water quality remote sensing water spectral character chlorophyll-a hyperspectral remote sensing spectral unmixing model
CLC: X832
Type: Master's thesis
Year: 2005
Downloads: 684
Quote: 3
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Abstract


Water is one of the key elements of entironment, and is important for all earth lives. With the developing of social economy, the status and functions of water become more and more obvious in national economy and social development. But in recent years, water pollution has been increasingly serious. The decline of water quality, especially the decline of inland water quality, has jeopardized people’s life and development. Taihu lake, located in Yangtse Delta, is one of the large-scale China inland lake. It is an impacted area around Taihu, and it has developed economy all around. Companied with the economy developing, the ecosystem of Taihu has been destroyed seriously. And the movement of people speedup the degradation of the water quality in Taihu lake. All of these affected the persistence development of Taihu entire drainage area. Water quality monitoring is an important means for water quality evaluation and water pollution prevention. With the worsen of water pollution, water quality monitoring has become an important problem that must be solved in the course of economy and social persistent development. There are two methods for water quality monitoring: artifical monitoring and remote sensing monitoring. Remote sensing monitoring has been recognized increasingly by people due to its wide monitoring area and its quickly and periodically observation. And with the further development of spectral resolution, the monitoring of water quality by remote sensing has made for quantification, the number of water quality parameters that we can monitor becomes more and more. The research was based on the water quality parameters and water reflectance spectrum data collected in situ, and other image remote sensing data that have different spectral resolution. We have studied the spectral features of the water reflectance and different kinds of water quality parameters that have different

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CLC: > Environmental science, safety science > Environmental Quality Assessment and Environmental Monitoring > Environmental monitoring > Water quality monitoring
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