Title :
Inversion of Landes Forest biomass using SIR-C/X-SAR data: experiment and theory
Author :
Souyris, J.C. ; Le Toan, T. ; Hsu, C.C. ; Kong, J.A.
Author_Institution :
CESBIO, Toulouse, France
Abstract :
Polarimetric radar data acquired by the Spaceborne Imaging Radar C/XSAR in April 1994 over the Landes Forest are analyzed. Experimental backscattering coefficients σ0hh, σ0vv and σ0hv for both forest stands and clear-cut areas at L band and C band, as well as the depolarization ratio σ0 hv/σ0vv and the normalized complex correlation coefficient between HH and VV polarizations, are compared with a four layer radiative transfer model. This model is subsequently used to drive simulations in order to determine the major backscattering mechanisms for a given configuration (incidence, frequency, polarization). The overall objective of this study is to assess the capability of spaceborne polarimetric data at L and C band for forest biomass inversion, mapping of forest/nonforest areas and mapping of the regenerating forest. Both from supervised classification and from unsupervised classification based on theoretical model, it is found that the correlation coefficient between HH and VV polarizations and the ratio between cross- and co-polarized return are useful for biomass inversion
Keywords :
backscatter; forestry; geophysical techniques; radar cross-sections; radar polarimetry; remote sensing by radar; spaceborne radar; synthetic aperture radar; AD 1994 04; Europe; France; L-band C-band; Landes Forest; SAR; SIR-C; Spaceborne Imaging Radar; UHF radar polarimetry; X-SAR; X-band microwave radar SHF; backscattering coefficient; biomass; forest; forestry; geophysical measurement technique; polarization; radar scattering SIR; remote sensing; spaceborne radar; synthetic aperture radar; vegetation mapping; Backscatter; Biomass; Displays; Frequency; Image analysis; Polarization; Radar imaging; Radar polarimetry; Soil; Spaceborne radar;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.521183