DocumentCode :
1301506
Title :
Simulation of interferometric SAR response for characterizing the scattering phase center statistics of forest canopies
Author :
Sarabandi, Kamal ; Lin, Yi-Cheng
Author_Institution :
Radiation Lab., Michigan Univ., Ann Arbor, MI, USA
Volume :
38
Issue :
1
fYear :
2000
fDate :
1/1/2000 12:00:00 AM
Firstpage :
115
Lastpage :
125
Abstract :
A coherent scattering model for tree canopies is employed in order to characterize the sensitivity of an interferometric SAR (INSAR) response to the physical parameters of forest stands. The concept of an equivalent scatterer for a collection of scatterers within a pixel, representing the vegetation particles of tree structures, is used for identifying the scattering phase center of the pixel whose height is measured by an INSAR. Combining the recently developed coherent scattering model for tree canopies and the INSAR Δk-radar-equivalence algorithm, accurate statistics of the scattering phase-center location of forest stands are obtained numerically for the first time. The scattering model is based on a Monte Carlo simulation of scattering from fractal-generated tree structures, and therefore is capable of preserving the absolute phase of the backscatter. The model can also account for coherent effects due to the relative position of individual scatterers and the inhomogeneous extinction experienced by a coherent wave propagating through the random collection of vegetation particles. The location of the scattering phase center and the correlation coefficient are computed using the Δk-radar equivalence simply by simulating the backscatter response at two slightly different frequencies. The model is successfully validated using the measured data acquired by JPL TOPSAR over a selected pine stand in Raco, MI. A sensitivity analysis is performed to characterize the response of coniferous and deciduous forest stands to a multifrequency and multipolarization INSAR in order to determine an optimum system configuration for remote sensing of forest parameters
Keywords :
Monte Carlo methods; backscatter; forestry; fractals; geophysical techniques; radar cross-sections; radar theory; remote sensing by radar; synthetic aperture radar; vegetation mapping; InSAR; Monte Carlo simulation; SAR; backscatter; coherent scattering model; equivalent scatterer; forest; forest canopy; forestry; fractal; geophysical measurement technique; interferometric SAR; physical parameters; radar remote sensing; radar theory; scatterer collection; scattering phase center statistics; simulation; synthetic aperture radar; vegetation mapping; Backscatter; Fractals; Particle measurements; Particle scattering; Phase measurement; Scattering parameters; Statistics; Synthetic aperture radar interferometry; Tree data structures; Vegetation;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.823906
Filename :
823906
Link To Document :
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