Soil Moisture and Soil Depth Retrieval Using the Coupled Phase-Amplitude Behavior of C-Band Radar Backscatter in the Presence of Sub-Surface Scattering

In low-moisture regimes, strongly-reflecting bedrock underlying soil could provide a dominant return. This offers a novel opportunity to retrieve both the volumetric moisture fraction (m(v)) and depth (d) of a soil layer using a differential phase. A radar wave traversing the overlying soil slows in response to moisture state; moisture dynamics are thus recorded as variations in travel time-captured back at a radar platform as changes in phase. The Phase Scaled Dielectric (PSD) model introduced here converts phase changes to those in soil dielectric as an intermediate step to estimating m,,. Simulations utilizing a real soil moisture timeseries from a site in Sudan were used to demonstrate the linked behaviors of the soil and radar variables, and detail the PSD principle. A laboratory validation used soil with a wet top layer variable in depth 1-2 cm and drying from m(v)similar to 0.2 m(3)m(-3), overlying a gravel layer at a depth of 11 cm. The scheme retrieved d = 1.49 +/- 0.33 cm and a change Delta m(v) = 0.191-0.021 +/- 0.009 m(3)m(-3). The PSD scheme outlined here promises a new avenue for the diagnostic measurement of soil parameters which is not currently available to radar remote sensing.

Automated summary

This study explores a remote sensing method for measuring soil moisture and depth in low-moisture environments. By analyzing the phase changes of radar waves propagating through the soil, a Phase Scaled Dielectric (PSD) model is developed to estimate the volumetric moisture fraction of the soil. Experimental validation demonstrates the feasibility of this method, offering a new avenue for radar remote sensing applications.