There is a large amount of gravel in the Gobi and desert areas in western China.Accurate inversion of soil water con-tent in these areas is of great significance for ecological and meteorological environment monitoring,afforestation and water conservancy project construction in northwest China.However,existing SAR soil moisture inversion models assume that soil is composed of fine particulate matter,without considering the influence of gravel.In this paper,a new method for soil moisture inversion on high gravel surface using polarimetric SAR(PolSAR)data is proposed.First,the backscattering of high gravel surface is modeled as surface scattering caused by ground and volume scattering caused by gravel.For surface scattering,the advanced integral equation model(AIEM)and Oh model are used for soil moisture inversion.For volume scattering,the dense medium radiative transfer(DMRT)model is used to invert soil moisture.Finally,the weighted summation of the inversion re-sults of the two parts is used as the final inversion result.The inversion accuracy of soil moisture inversion model was evaluated by using the field soil moisture measured data and ALOS-2 PolSAR data in Wuhai city,and compared with the commonly used soil moisture inversion methods.The results showed that the accuracy of this method was significantly improved when it was applied to the soil moisture inversion on high gravel surface(traditional soil moisture retrieval method:R2=0.35;new meth-od:R2=0.60).
关键词
土壤水分/土壤湿度/高砾石地表/AIEM模型/DMRT模型/全极化SAR
Key words
soil water content/soil moisture/high gravel surface/AIEM model/DMRT model/polarimetric SAR
维普
万方数据