Title :
Polarimetric decomposition for forest biomass retrieval
Author :
Sauer, Stefan ; Kugler, Florian ; Lee, Seung-Kuk ; Papathanassiou, Kostas
Author_Institution :
Microwaves & Radar Inst. (HR), German Aerosp. Center (DLR), Wessling, Germany
Abstract :
In this paper, the decomposition of fully polarimetric SAR data into three canonical scattering mechanisms is investigated with respect to forest biomass retrieval. It is demonstrated that the dominant backscattering contribution depends strongly on the frequency, incidence angle, and stand condition. The relation between in-situ biomass measurements and the individual decomposition components is examined.
Keywords :
backscatter; deconvolution; environmental monitoring (geophysics); forestry; geophysical signal processing; radar polarimetry; radar signal processing; remote sensing by radar; synthetic aperture radar; backscattering contribution; canonical scattering mechanisms; forest biomass retrieval; frequency; fully polarimetric SAR data; incidence angle; polarimetric decomposition; stand condition; Backscatter; Biomass; Correlation; Dynamic range; L-band; Scattering; Surface topography; Forest SAR remote sensing; biomass retrieval; polarimetric decomposition;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5653894
