Retrieval of forest structure and moisture from SAR data using an estimation algorithm

Author

Clewley, D. ; Moghaddam, Mahta ; Lucas, Richard ; Bunting, P.

Author_Institution

Univ. of Southern California, Los Angeles, CA, USA

fYear

2013

fDate

21-26 July 2013

Firstpage

153

Lastpage

156

Abstract

The inversion of physics-based models presents a promising alternative to empirical relationships for the retrieval of forest structure from Synthetic Aperture Radar (SAR) data, one particular advantage being the ability to include information on soil and vegetation moisture. This paper describes a two-stage estimation algorithm for retrieving canopy and stem parameters, applied to AIRSAR data over a site in Queensland, Australia and validated using eight field plots.

Keywords

hydrological techniques; inverse problems; moisture; remote sensing by radar; soil; synthetic aperture radar; vegetation; Australia; Queensland; SAR data; canopy moisture retrieval; estimation algorithm; forest moisture retrieval; forest structure retrieval; physics based model inversion; soil moisture; stem moisture retrieval; synthetic aperture radar; vegetation moisture; Atmospheric modeling; Backscatter; Data models; Estimation; Moisture; Scattering; Synthetic aperture radar; Estimation Algorithm; Forest Structure; Synthetic Aperture Radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Conference_Location

Melbourne, VIC

ISSN

2153-6996

Print_ISBN

978-1-4799-1114-1

Type

conf

DOI

10.1109/IGARSS.2013.6721115

Filename

6721115