DocumentCode
1248133
Title
The potential of multifrequency polarimetric SAR in assessing agricultural and arboreous biomass
Author
Ferrazzoli, P. ; Paloscia, S. ; Pampaloni, P. ; Schiavon, G. ; Sigismondi, S. ; Solimini, D.
Author_Institution
Dipartimento di Inf. Sistemi e Produzione, Tor Vergata Univ., Rome, Italy
Volume
35
Issue
1
fYear
1997
fDate
1/1/1997 12:00:00 AM
Firstpage
5
Lastpage
17
Abstract
Polarimetric radar data collected by AIRSAR and SIR-C over agricultural fields, forests, and olive groves of the Italian Montespertoli site are analyzed. The objective is to investigate the radar capability in discriminating among various vegetation species and its sensitivity to agricultural and arboreous biomass. Results indicate that a combined use of P(0.45 GHz) and L- (1.2 GHz) bands allows one to discriminate between agricultural fields and other targets, while a combined use of L- and C- (5.3 GHz) bands allows the authors to discriminate within agricultural areas. To monitor biomass, P-band gives the best results for forests and olive groves, L-band appears to be good for crops with low plant density (m-2), while for crops with high plant density, both L- and C-bands are useful. The availability of crosspolarized data is important for both classification and biomass retrieval
Keywords
agriculture; airborne radar; forestry; geophysical techniques; radar imaging; radar polarimetry; remote sensing by radar; spaceborne radar; synthetic aperture radar; 0.45 GHz; 1.2 GHz; 5.3 GHz; AIRSAR an; C-band; Italian Montespertoli site; Italy; L-band; P-band; SHF; SIR-C; UHF; agriculture; airborne radar; arboreous biomass; crops; forest; forestry; geophysical measurement technique; image classification; multifrequency polarimetric SAR; olive grove; radar polarimetry; radar remote sensing; spaceborne radar; vegetation mapping; vegetation species discrimination; Biomass; Crops; Frequency; Information retrieval; Radar polarimetry; Remote monitoring; Soil; Spaceborne radar; Synthetic aperture radar; Vegetation mapping;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.551929
Filename
551929
Link To Document