Waiting on a mule deer crossing…
In this paper, we use the Analytical Kirchhoff Solution (AKS) and Numerical Kirchhoff Approach (NKA) to study the bistatic scattering field (γ) from mountain terrain at P-band frequency. The study area is Grand Mesa, Colorado (U.S.A), and the properties of land surface roughness are extracted from airborne lidar surveys. The bistatic scattering coefficientγof variance fields, denoted byγv, for several cases of radar resolutions over a 3.6 km by 3.6 km area are calculated at various scattering azimuth angles. Based on the lidar measurements, the land surface is decomposed intof2+f3wheref3is 30 meters of deterministic planar patches to approximate the coarse topography andf2is modeled by random rough surfaces with correlation functions. Surface roughness statistics derived from the Lidar data give a typical rms height of 0.07 m and a correlation length of 3.6 m forf2. The mean values of slopes off3are 1.3 deg and 0 deg with a standard deviation of 1 deg each, respectively in the x and y directions. Simulations using AKS show that the values of bistatic scattering coefficients for the variance of scattered fields can reach above 10 dB over a range of azimuth anglesΦsin the vicinity of the specular direction. Even in mountainous regions, the value of theγvaround the forward scattering direction is much larger than that for radar backscattering, and thus could support the use of a Synthetic Aperture Radar (SAR) concept based on Signals of Opportunity with data acquisition near the forward direction.
Items connected by shared entities, co-authorship, citations, or semantic similarity.