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Groundwater is one of the very important natural resources, the seasonal variation of the groundwater or the interannual variability will cause changes in the structure of irrigation, drinking water and planting. Reasonable, coordinated development and use of groundwater to identify groundwater level monitoring to save money, labor-saving methods, arid, semi-arid areas of ecological balance, economic development, agricultural development major. The study had two purposes, one is the use of satellite remote sensing data evaluation Oasis - Desert groundwater level distribution, with the help of remote sensing image processing and analysis software PCI platform, to Landsat-7ETM band image as a data source, evaluation of groundwater bit distribution of thermal infrared remote sensing the monitoring model --- ARGLUTM of model. Visual Basic application of RS and GIS, proposes a thematic map accuracy of the RS data produced groundwater depth can improve. Arguments and findings of this study are: 1. Mathematical methods to establish the numerical relationship between the transit of the satellite ground data and remote sensing data. 2. Analysis and at the surface below 5cm, 10cm, 15cm, 20cm, 40cm soil temperature and ground water depth correlation between the obtained conclusions below the surface level of soil temperature and groundwater depth correlation maximum. 3. After a comprehensive summary of the existing groundwater resources remote sensing research method, on the basis of soil moisture remote sensing monitoring and site study soil moisture, groundwater, vegetation cover, vegetation type, and other factors detailed and accurate information, the establishment of soil moisture and groundwater level experimental equations, integration with remote sensing --- mathematics --- Model School, the evaluate groundwater levels ARGLUTM model. 4. Use ARGLUTM model Xinjiang Cele Oasis --- Desert Interlaced field-proven, results show that the results in line with the actual distribution of the water table, a correlation coefficient of 0.89 between the theoretical groundwater table and the measured groundwater levels. This paper seven chapters, the first chapter is divided into the issues raised have been remote sensing of water resources research; second chapter is divided into the choice of the study area, Oasis - Desert determine; Chapter main content of the work environment technical processes and In this paper, the meaning and characteristics; Chapter remote sensing image processing process, including the correction, enhancement and classification; Chapter Retrieving Land Surface Temperature Research Progress in remote sensing technology, remote sensing surface temperature estimation model and remote sensing of groundwater level monitoring Chapter VI of the model; GIS and RS technology combined technological method of production of groundwater thematic maps; Chapter 7 Conclusion and Outlook.
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