Research on remote sensing model for soil water content on rough surface

Roughness of soil surface not only performs a remarkable influence to the BRDF of ground, and it is variable as well. So it's one of important factors that affect the precision of remote sensing for soil water content. In this paper, it is demonstrated that the relationship between soil reflected spectrum and the soil water content is about obey the Beer Law, and then the absorption coefficient curve of moisture in soil was measured. The conclusion also be reached that the essential cause of soil surface roughness effects the soil reflectance is the slant of sub slopes on clod surface which result in the increasing of the rate of multi-reflecting light. Through analyzing the physical process of soil surface reflecting under the inference of soil water, for soil water remote sensing on a geometrical BRDF model rough surface is put forward in this paper. The result of test data showed that the model has a satisfied precision.