2002•Unpublished venueRequires access

A vegetation classification scheme validated by model simulations

P. Ferrazzoli, Leila Guerriero, Giovanni Schiavon

Open publisher page 4 citations

Abstract

The capability of multifrequency polarimetric SAR to discriminate among nine vegetation classes is demonstrated using both experimental data and model simulations. The experimental data were collected by the multifrequency polarimetric SAR at the Dutch Flevoland site and the Italian Montespertoli site. Simulations are carried out using the vegetation model developed at Tor Vergata University.

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What this paper is about

The capability of multifrequency polarimetric SAR to discriminate among nine vegetation classes is demonstrated using both experimental data and model simulations. The experimental data were collected by the multifrequency polarimetric SAR at the Dutch Flevoland site and the Italian Montespertoli site. Simulations are carried out using the vegetation model developed at Tor Vergata University.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The capability of multifrequency polarimetric SAR to discriminate among nine vegetation classes is demonstrated using both experimental data and model simulations. The experimental data were collected by the multifrequency polarimetric SAR at the Dutch Flevoland site and the Italian Montespertoli site. Simulations are carried out using the vegetation model developed at Tor Vergata University.

Key concepts: Vegetation (pathology), Remote sensing, Polarimetry, Synthetic aperture radar, Vegetation classification, Environmental science, Computer science, Geology

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