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
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;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2014.2307583