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
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