Title :
Estimation of the Backscatter Vertical Profile of a Pine Forest Using Single Baseline P-Band (Pol-)InSAR Data
Author :
Garestier, Franck ; Le Toan, Thuy
Author_Institution :
Continental & Coastal Morphodynamic Lab. (M2C), Univ. de Caen-Basse Normandie, Caen, France
Abstract :
The vertical backscatter profile of a pine forest constituted by stands of different height is inverted from a single baseline P-band Pol-InSAR data in order to identify scatterers in the canopy. The proposed approach uses the Gaussian vertical backscatter profile model, which associates an interferometric coherence expression to a vertical scatterers´ distribution characterized by relative standard deviation and elevation. The methodology, which uses in situ measurements of forest height and unbiased ground level estimation, is applied to HV and VV channels, providing accuracy given sufficiently low ground-to-canopy power ratios. Inverted backscatter profiles show maximum power converging toward the basis of the tree crown on highest forests, where the largest branches are located, indicating the high sensitivity of P-band measurements to the forest structure and to the vertical biomass distribution. Over lower stands with larger tree densities, the power peak is located in the upper part of the canopy, which can be explained by a stronger attenuation in the canopy.
Keywords :
forestry; geophysical techniques; radar interferometry; radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation; vegetation mapping; Gaussian vertical backscatter profile model; P-band Pol-InSAR data; P-band measurements; backscatter vertical profile; forest height; ground-to-canopy power ratios; inverted backscatter profiles; pine forest; synthetic aperture radar; unbiased ground level estimation; vertical biomass distribution; Backscatter; Biomass; Ground penetrating radar; Interferometry; Power measurement; Radar applications; Radar imaging; Radar scattering; Spaceborne radar; Synthetic aperture radar; Forestry; interferometry; polarimetric SAR interferometry (Pol-InSAR); synthetic aperture radar (SAR);
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2010.2046669