MODIS-based Remote Sensing Monitoring Of Desertification Regional Groundwater Model

Importance of spatial and temporal distribution of groundwater level information, often as a hydrological model, climate model, ecological model input parameters. With the development of remote sensing technology, using it to monitor groundwater levels and changes in the wider region, so that large areas of soil moisture in real time or near real-time dynamic monitoring possible, to provide region-wide spatial and temporal distribution of groundwater level information.MaoWuSu Desert is China's desertification is one of the hot spots, qucikly and accurately monitoring the groundwater level can provide the basic data for desertification monitoring, ecological restoration and reconstruction, etc. This time for the local government to understand the extent and distribution of drought, to take active and effective anti-, anti-measures, science direct agricultural production is important.In this paper, MaoWuSu Desert in the study area, with MODIS remote sensing data of 2008-bit data sources to study the distribution of groundwater in this region for the purpose of carrying out the following main research contents:(1) The distribution of the study area sampling of soil moisture and groundwater level and ground water.(2) According to the band characteristics of MODIS data, combined with the establishment of local environmental factors, soil moisture and b7-band linear regression model with the measured soil moisture was analyzed.(3) using remote sensing - Mathematics - Model of the integration of research, and presents the natural environment in desertification region-specific effective detection of remote sensing model of groundwater resources. By soil moisture and groundwater level experimental equation, established under the water level remote sensing model to the field measurement data to adjust the model to produce sub-spaces of the layout of the groundwater. The results showed that.(1) MODIS image data 7-band reflectance to monitor the soil moisture, through the MaoWuSu Desert quasi-synchronous field validation, correlation analysis showed that the MODIS band 7 reflectance of the ground moisture better among the negative correlation relations, may reflect changes in soil moisture content, areas for desertification of large area, temporal changes in soil moisture monitoring is feasible.(2) Groundwater remote sensing inversion formula for the correlation coefficient of 0.86764. Inversion model based on the MaoWuSu Desert in the water table for inversion to obtain ground water level map of the region, the plan study area directly reflects the distribution of groundwater level, and the inversion results in line with the measured. The results show that the use of MODIS data model groundwater level monitoring and distribution of inversion is feasible. Monitoring of groundwater level distribution from the model situation, the results realistic.