DocumentCode :
3529794
Title :
Forest parameters inversion using Polarimetric and Interferometric SAR data
Author :
Lavalle, M. ; Solimini, D. ; Pottier, E. ; Desnos, Y.-L.
Author_Institution :
DISP Dept., Tor Vergata Univ., Rome, Italy
Volume :
4
fYear :
2009
fDate :
12-17 July 2009
Abstract :
In this paper we discuss some aspects of the forest height estimation using Polarimetric and Interferometric (POLINSAR) SAR data. Three main issues limit the inversion of the POLINSAR coherence from repeat-pass POLINSAR systems: temporal decorrelation, terrain slope distortions and effects of wave penetration. We show that, if temporal decorrelation is not severe, the distortions due to terrain slope can be removed and the wave penetration can be compensated using the predictions of the scattering simulator PolSARProSIM. A detailed procedure that applies to any POLINSAR data is presented and illustrated using ALOS/PALSAR data and the SRTM digital elevation model (DEM).
Keywords :
decorrelation; digital elevation models; geophysical signal processing; radar interferometry; radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation; vegetation mapping; ALOS PALSAR data; PolInSAR coherence; PolSARProSIM; SRTM digital elevation model; forest height estimation; forest parameters inversion; polarimetric and interferometric SAR data; repeat-pass PolInSAR system; scattering simulator; temporal decorrelation; terrain slope distortions; wave penetration; Biomass; Biosensors; Coherence; Decorrelation; Digital elevation models; Information retrieval; Interferometry; Polarization; Predictive models; Scattering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
Type :
conf
DOI :
10.1109/IGARSS.2009.5417355
Filename :
5417355
Link To Document :
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