DocumentCode :
297855
Title :
Estimating vegetation and surface topographic parameters from multibase radar radar interferometry
Author :
Treuhaft, Robert ; Moghaddam, Mahta ; Van Zyl, Jakob ; Sarabandi, Kamal
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Volume :
2
fYear :
1996
fDate :
27-31 May 1996
Firstpage :
978
Abstract :
Interferometric synthetic aperture radar (INSAR) data are sensitive to characteristics of the vertical distribution of vegetation and the underlying surface topography, both of which are of critical importance in successional ecological modeling and hydrology. However, even with the simplest scattering model, the number of parameters describing the vegetation and surface topography needed to characterize the INSAR response exceeds the number of independent INSAR observations. Introducing INSAR measurements across two baselines extends the observation set and potentially enables the estimation of all the parameters in a homogeneous-layer scattering model described in this article. The baseline lengths and INSAR accuracies needed for multibaseline INSAR parameter estimation are discussed. A demonstration of multibaseline INSAR with TOPSAR data over the BOREAS Southern Test Site yields estimates of the vegetation layer depths and extinction properties
Keywords :
geophysical techniques; remote sensing by radar; synthetic aperture radar; topography (Earth); INSAR; SAR; geophysical measurement technique; homogeneous-layer scattering model; interferometric synthetic aperture radar; land surface topography; multibase radar radar interferometry; radar remote sensing; surface topographic parameters; terrain mapping; two baselines; vegetation mapping; Biological system modeling; Hydrologic measurements; Hydrology; Parameter estimation; Radar scattering; Scattering parameters; Surface topography; Synthetic aperture radar interferometry; Testing; Vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location :
Lincoln, NE
Print_ISBN :
0-7803-3068-4
Type :
conf
DOI :
10.1109/IGARSS.1996.516540
Filename :
516540
Link To Document :
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