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TitleForest Type Discrimination Using SAR Polarization Information
DownloadDownloads (Preprint)
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorTouzi, R; Landry, R; Charbonneau, F
SourceProceedings of the 23rd Canadian Symposium on Remote Sensing, Ste. Foy, Quebec, August 20 - 24; 2001., Open Access
logo Open Access
Alt SeriesEarth Sciences Sector, Contribution Series 20042990
Mediapaper; on-line; digital
File formatpdf
Released2001 01 01
AbstractIn order to promote the unique polarimetric capability of RADARSAT-2, CCRS has investigated the potential of fully polarimetric C-band SAR for forest type discrimination. Six forest types in Eastern Ontario (Mer Bleu) were considered in this study: mixed forest, poplar, red pine, white pine, a mixed forest of red and white pines, and white spruce. In addition to the conventional linear polarizations HH, HV, and VV, various polarimetric discriminators, which were synthesized from the scattering matrix measurements, were investigated. It is shown that the radiometric of the conventional C-band SAR polarizations HH, HV and VV can only perform a limited discrimination of various trees, and cannot separate deciduous from coniferous trees in spring and summer conditions. The polarimetric information provided by the polarimetric (co- and cross-polarized) signatures, the circular polarizations, and the Cloude's parameters H/A/α/β, did not improve significantly forest type discrimination. The best results were obtained with the extrema of the completely polarized component of the scattered wave. These parameters permit even the separation of deciduous from coniferous

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