Study of retrieval method of salinized soil moisture using microwave remote sensing
Soil moisture is a key factor affecting grain yield and quality in farmland.The inversion of soil moisture with high precision and large area is of great significance for evaluating soil quality,yield estimation and irrigation in different regions.Synthetic aperture radar(SAR)is one of the most important methods for soil moisture retrieval at present,but the method for soil moisture retrieval in salinized farmland is not clear at present.In this paper,a SAR in-version model of salinized soil moisture was constructed by using Radarsat-2 fully polarized image combined with field monitoring data in Hetao irrigation area of Inner Mongolia.First,the back-scattering coefficients of the four po-larization modes were extracted,and then the inversion data was compared with the measured data by establishing a linear regression model of the combination of different backscattering coefficients and soil moisture.It was found that the HH-VV polarization mode achieved high accuracy,and finally the soil water content was retrieved by using the model constructed by the same polarization ratio.The RMSE of the inversion value is 2.23%,which can meet the re-quirement of the accuracy of soil moisture inversion.
NETL
NSTL
万方数据
