IEEE Transactions on Geoscience and Remote Sensing · 2002 · 287 citations · 20 references
EngineeringMicrowave BackscatteringEarth ScienceAtmospheric ScienceComputational ElectromagneticsReflectance ModelingMeteorologySynthetic Aperture RadarSemi-empirical ModelAntennaMicrowave Remote SensingGeographyMicrowave MeasurementInverse ProblemsRadio PropagationRadarWave ScatteringRemote SensingBare Soil Surfaces
A semi-empirical model of the ensemble-averaged differential Mueller matrix for microwave backscattering from bare soil surfaces is presented. Based on existing scattering models and data sets measured by polarimetric scatterometers and the JPL AirSAR, the parameters of the co-polarized phase-difference probability density function, namely the degree of correlation /spl alpha/ and the co-polarized phase-difference /spl sigmav/, in addition to the backscattering coefficients /spl sigma//sub /spl nu//spl nu///sup 0/,/spl sigma//sub hh//sup 0/ and /spl sigma//sub /spl nu/h//sup 0/, are modeled empirically in terms of the volumetric soil moisture content m/sub /spl nu// and the surface roughness parameters ks and kl, where k=2/spl pi/f/c, s is the rms height and l is the correlation length. Consequently, the ensemble-averaged differential Mueller matrix (or the differential Stokes scattering operator) is specified completely by /spl sigma//sub /spl nu//spl nu///sup 0/,/spl sigma//sub hh//sup 0/,/spl sigma//sub /spl nu/h//sup 0/,/spl alpha/, and /spl zeta/.
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Radar polarimetry for geoscience applications
F.T. Ulaby, C. Elachi · 1990 · 644 citations
Radar polaritnetry for geoscience applications
F.T. Ulaby, C. Elachi · Geocarto International · 1990 · 341 citations
Engineering, Forestry, Earth Science +19