DocumentCode :
1142401
Title :
Tropical-Forest-Parameter Estimation by Means of Pol-InSAR: The INDREX-II Campaign
Author :
Hajnsek, Irena ; Kugler, Florian ; Lee, Seung-Kuk ; Papathanassiou, Konstantinos Panagiotis
Author_Institution :
Radar Concepts Dept., Microwaves & Radar Inst., Wessling
Volume :
47
Issue :
2
fYear :
2009
Firstpage :
481
Lastpage :
493
Abstract :
This paper addresses the potential and limitations of polarimetric synthetic aperture radar (SAR) interferometry (Pol-InSAR) inversion techniques for quantitative forest-parameter estimation in tropical forests by making use of the unique data set acquired in the frame of the second Indonesian Airborne Radar Experiment (INDREX-II) campaign - including Pol-InSAR, light detection and ranging (LIDAR), and ground measurements - over typical Southeast Asia forest formations. The performance of Pol-InSAR inversion is not only assessed primarily at L- and P-band but also at higher frequencies, namely, X-band. critical performance parameters such as the ldquovisibility of the groundrdquo at L- and P-band as well as temporal decorrelation in short-time repeat-pass interferometry are discussed and quantitatively assessed. Inversion performance is validated against LIDAR and ground measurements over different test sites.
Keywords :
radar interferometry; radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation mapping; INDREX-II campaign; L-band; LIDAR validation; P-band; Pol-InSAR; SAR interferometry; Southeast Asia; X-band; ground measurements; inversion techniques; light detection and ranging; polarimetric synthetic aperture radar interferometry; second Indonesian Airborne Radar Experiment; short-time repeat-pass interferometry; tropical-forest-parameter estimation; Airborne radar; Asia; Decorrelation; Frequency; Laser radar; Optical interferometry; Polarimetric synthetic aperture radar; Radar detection; Synthetic aperture radar; Testing; Forest height; polarimetric SAR interferometry (Pol-InSAR); synthetic aperture radar (SAR); temporal decorrelation; tropical forest;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2008.2009437
Filename :
4773467
Link To Document :
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