As a key factor of soil-plant-atmosphere continuum,soil moisture content affects the nutrient circulation and vegetation growth characteristics of soil system, and it is of great significance to quantify the soil moisture spatial pattern in black soil area to understand the characteristics of land cover and the change of ecosystem climate. Based on Sentinel-1A bipolar synthetic aperture radar images, as-sisted by Sentinel-2 optical image data in the same period, this paper quantitatively inverses the water content of complex surface soil under different land cover types in the northeast black soil area based on the modified water cloud model, and analyzes the characteristics of soil moisture content and its control factors by means of MOD11A2 and MOD13A3 TVDI data. The results show that:The soil moisture content in the northeast black soil area is more accurate by means of the modified water cloud model of VV polarization( R2=0.75;Re=0.015) , the soil moisture content in the study area has strong spatial differentiation and overall is in a state of drought of which the drought phenomenon in drylands is the most serious, but with the change of time, the drought has a tendency to decrease. Rainfall influ-ences changes in soil moisture content significantly more than temperature, but the drought situation caused by the complex environment in the study area is not uncontrolled by a single factor.
phaeozem region of northeast Chinasoil water contentmicrowave remote sensingquantitative inversion
维普
万方数据
