Research For Soil Moisture Content Of Remote Sensing Monitoring And Application Based On NDVI Partition In Inner Mongolia Pastoral Areas

In all kinds of meteorological disasters, drought is first of all the plagues in Inner Mongolia region.Drought to economic and social development in Inner Mongolia, especially in pastoral areas of Inner Mongolia has brought serious threat to people’s production and life, soil moisture content is an important index for determining the drought.Compared with the traditional means of site type soil moisture content monitoring, remote sensing technology has high time resolution, low cost and wide monitoring etc, make its gradually become the main means of monitoring the soil moisture content.At present, the model of soil moisture content monitoring based on remote sensing data are visible light, infrared, microwave, such as types, each model has its advantages, also has its regional adaptability of the larger changes in vegetation, terrain, etc area hard to large extension, the actual application value.Based on NDVI in Inner Mongolia based on the above study, combining with the apparent thermal inertia, vegetation water supply index, temperature vegetation drought index to evaluate the pastoral areas of Inner Mongolia drought monitoring, the main research contents and conclusions are as follows:(1) Based on MODIS NDVI data products in Inner Mongolia vegetation coverage characteristics monitoring study found: the growing season in Inner Mongolia article presents obvious zonal distribution of vegetation, nearly 15 years local degraded vegetation coverage, there is a growing trend as a whole.(2) Combining with the characteristics of Inner Mongolia vegetation and ground measured soil moisture content data, analysis of apparent thermal inertia and vegetation water supply index method, temperature vegetation drought index under different vegetation coverage in the pastoral areas of Inner Mongolia moisture content monitoring model and its accuracy test.(3) Using relative error of water cut rate as the index, the optimum remote sensing monitoring depth of 0 ~ 20 cm was determined. The change law of the apparent thermal inertia and vegetation water supply index with the change of vegetation cover degree, the relative error of water cut is determined by the threshold of NDVI, that is, NDVI is equal to 0.18. When NDVI is equal to 0.18, the relative error of soil moisture content based on ATI and VSWI is 21.31%, when NDVI is less than or greater than 0.18, the error is less than 21.31%.(4) The analysis shows that the soil moisture retrieval model based on TVDI has good adaptability for different NDVI regions. The relative error of TVDI in the soil moisture retrieval in 4 different regions is 21.47%.(5) Based on the analysis of 3 remote sensing monitoring methods, the soil moisture content monitoring model was validated by the experimental data of soil moisture content and the soil moisture content in 4 sampling areas were analyzed.Based on apparent thermal inertia and vegetation water supply index, combined with the feature of spatial distribution of vegetation coverage in Inner Mongolia, pastoral areas of Inner Mongolia drought monitoring model is established, the pastoral areas of Inner Mongolia animal husbandry sustainable development, ecological environment construction to provide some scientific guidance.