Information of soil moisture extraction from microwave scattered field

Abstract

In active microwave remote sensing of soil moisture, the electric field scattered by the soil surface contains information about the soil. Three kinds of a priori knowledge hypotheses are considered for their influence on soil moisture inversion. The neural network (NN) toolbox in MATLAB is used to invert the soil moisture and compute the soil moisture error produced by the uncertainty of these three kinds of hypotheses.