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

fYear

2010

fDate

25-30 July 2010

Firstpage

4780

Lastpage

4783

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International

Conference_Location

Honolulu, HI

ISSN

2153-6996

Print_ISBN

978-1-4244-9565-8

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2010.5653894

Filename

5653894