NDLI: Estimation of boreal forest biomass using spaceborne SAR systems

Content Provider	IEEE Xplore Digital Library
Author	Saatchi, S. Moghaddam, M.
Copyright Year	1999
Description	Author affiliation: Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA (Saatchi, S.)
Abstract	The authors report on the use of a semi-empirical algorithm derived from a two layer radar backscatter model for forest canopies. The model stratifies the forest canopy into crown and stem layers, separates the structural and biometric attributes of the canopy. The structural parameters are estimated by training the model with polarimetric SAR (synthetic aperture radar) data acquired over homogeneous stands with known above ground biomass. Given the structural parameters, the semi-empirical algorithm has four remaining parameters, crown biomass, stem biomass, surface soil moisture, and surface rms height that can be estimated by at least four independent SAR measurements. The algorithm has been used to generate biomass maps over the entire images acquired by JPL AIRSAR and SIR-C SAR systems. The semi-empirical algorithms are then modified to be used by single frequency radar systems such as ERS-1, JERS-1, and Radarsat. The accuracy of biomass estimation from single channel radars is compared with the case when the channels are used together in synergism or in a polarimetric system.
Starting Page	1646
Ending Page	1648
File Size	306667
Page Count	3
File Format	PDF
ISBN	0780352076
DOI	10.1109/IGARSS.1999.772047
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-06-28
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biomass Spaceborne radar Radar polarimetry Structural engineering Radar imaging Backscatter Biometrics Parameter estimation Synthetic aperture radar Surface soil
Content Type	Text
Resource Type	Article

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