DocumentCode
38281
Title
Three-Baseline InSAR Estimation of Forest Height
Author
Lavalle, Marco ; Khun, Kosal
Author_Institution
Radar Sci. & Eng. Sect., Jet Propulsion Lab., Pasadena, CA, USA
Volume
11
Issue
10
fYear
2014
fDate
Oct. 2014
Firstpage
1737
Lastpage
1741
Abstract
In this letter we propose a three-baseline approach to the extraction of forest tree height from synthetic aperture radar data. Three polarimetric-interferometric pairs are used to constrain a physical model that relates forest parameters to multiple repeat-pass coherence observations. The observations may be performed by a dual, compact or full polarimetric radar, and may be affected by distinct levels of temporal decorrelation. Here, we present the theoretical framework based on the random-motion-over-ground model, and describe an algorithm to extract tree height from the data. The performance of the algorithm is illustrated with L-band airborne data collected by the German Aerospace Center in the frame of the BIOSAR2008 campaign. The proposed method provides height estimates in good agreement with lidar measurements and can be applied to data to be collected by forthcoming polarimetric-interferometric spaceborne missions.
Keywords
optical radar; radar interferometry; radar polarimetry; remote sensing by laser beam; remote sensing by radar; spaceborne radar; synthetic aperture radar; vegetation; vegetation mapping; BIOSAR2008 campaign; German Aerospace Center; L-band airborne data; compact polarimetric radar; dual polarimetric radar; forest parameters; forest tree height extraction; full polarimetric radar; lidar measurements; multiple repeat-pass coherence observations; physical model; polarimetric-interferometric pairs; polarimetric-interferometric spaceborne missions; random-motion-over-ground model; synthetic aperture radar data; temporal decorrelation; three-baseline InSAR estimation; Coherence; Decorrelation; Estimation; Remote sensing; Spaceborne radar; Synthetic aperture radar; Vegetation; Interferometry; synthetic aperture radar;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2014.2307583
Filename
6774465
Link To Document