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The potential of SAR data in discriminating vegetation/forest types it is here explored using Neural Networks (NN) in an Alpine environment. Amplitude data from two SAR polarimetric sensors, namely RADARSAT2 Standard Quad Polarization (SQP) and ALOS PALSAR Fine Beam Dual (FBD), were used separately and in conjunction to discriminate four vegetation types: conifer forest, broadleaved forest, riparian...
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