International Journal of Remote Sensing · 1995 · 94 citations · 21 references
Natural SciencesEarth SciencesSoil SciencesCrop SensingRemote SensingSoil SensingCrop ClassificationLand Surface MonitoringPolar Remote SensingSatellite SensorsVegetation IndicesCrop DiscriminationCrop MappingPolarimetric ImagingPolarimetric Radar AlgorithmsPolarimetric Remote SensingRadar PolarimetrySynthetic Aperture RadarSynthetic Aperture Radar Imaging
Abstract The potential of synthetic aperture radar (SAR) in monitoring soil and vegetation parameters is being evaluated in extensive investigations, worldwide. A significant experiment on this subject, the Multi-sensor Airborne Campaign (MAC 91), was carried out in the summer of 1991 on several sites in Europe, based on the NASA/JPL polarimetric synthetic aperture radar (AIR-SAR). The site of Montespertoli (Italy) was imaged three times during this campaign at P-, L-, and C-band and at different incidence angles between 20° and 50°. Calibrated full polarimetric data collected over the agricultural area of this site have been analysed and a critical analysis of the information contained in linear and circular co-polar and cross-polar data has also been carried out. Here a guideline for the formulation of crop discrimination algorithms is suggested. It has been found that P-band data are rather effective only in discriminating broad classes of agricultural landscape, while finer detail can be obtained by integrating data at L- and C-bands. Indeed at L-band well developed ‘broad leaf’ crops can be separated from the others, whereas at C-band discrimination seems feasible in the case of moderate growth as well. Finally the sensitivity of backscattering coefficient to soil moiture and vegetation biomass is discussed.
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Radar polarimetry for geoscience applications
F.T. Ulaby, C. Elachi · 1990 · 644 citations
Radar polarimetry: analysis tools and applications
Diane L. Evans, T. G. Farr, J.J. van Zyl et al. · IEEE Transactions on Geoscience and Remote Sensing · 1988 · 278 citations