Journal
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Volume 39, Issue 4, Pages 864-872Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/36.917912
Keywords
agriculture; hydrologic measurements; inverse problems; modeling; moisture measurement; parameter estimation; soil measurements; radar scattering
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Radar backscatter measurements of a pair of adjacent soybean fields at L-band and C-band are reported. These measurements, which are fully polarimetric, took place over the entire growing season of 1996, To reduce the data acquisition burden, these measurements were restricted to 45 degrees in elevation and to 45 degrees in azimuth with respect to the row direction. Using the first order radiative transfer solution as a form for the model of the data, four parameters were extracted from the data for each frequency/polarization channel to provide a least squares fit to the model. Ebr inversion, particular channel combinations were regressed against the soil moisture and area density of vegetation water mass. Using L-band cross-polarization and VV-polarization, the vegetation water mass can be regressed with an R-2 = 0.867 and a root mean square error (RMSE) of 0.0678 kg/m(2), Similarly, while a number of channels, or combinations of channels, can be used to invert for soil moisture, the best combination observed, namely, L-band VV-polarization, C-band HV- and VV-polarizations, can achieve a regression coefficient of R-2 = 0.898 and volumetric soil moisture RMSE of 1.75%.
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