A vegetation classification scheme validated by model simulations

Author

Ferrazzoli, P. ; Guerriero, L. ; Schiavon, G.

Author_Institution

DISP, Rome Univ., Italy

Volume

4

fYear

1997

fDate

3-8 Aug 1997

Firstpage

1618

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

Keywords

geophysical signal processing; geophysical techniques; image classification; radar cross-sections; radar imaging; radar polarimetry; radar theory; remote sensing by radar; synthetic aperture radar; Dutch Flevoland; Holland; Italian Montespertoli site; Italy; Netherlands; Tor Vergata University; geophysical measurement technique; land surface; model simulation; multifrequency polarimetric SAR; radar polarimetry; radar remote sensing; synthetic aperture radar; terrain mapping; vegetation class discrimination; vegetation classification scheme; vegetation mapping; Classification algorithms; Electromagnetic scattering; Frequency; Polarization; Remote sensing; Soil; Solid modeling; Synthetic aperture radar; Testing; Vegetation;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International

Print_ISBN

0-7803-3836-7

Type

conf

DOI

10.1109/IGARSS.1997.608984

Filename

608984