Forest Parameter Retrieval from Sar Data Using An Estimation Algorithm Applied To Regrowing Forest Stands In Queensland, Australia

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dc.contributor.author Lucas, Richard M.
dc.contributor.author Clewley, Dan
dc.contributor.author Carreiras, Joao
dc.contributor.author Bunting, Peter J.
dc.contributor.author Moghaddam, M.
dc.date.accessioned 2011-05-26T10:51:02Z
dc.date.available 2011-05-26T10:51:02Z
dc.date.issued 2010
dc.identifier.citation Lucas , R M , Clewley , D , Carreiras , J , Bunting , P J & Moghaddam , M 2010 , ' Forest Parameter Retrieval from Sar Data Using An Estimation Algorithm Applied To Regrowing Forest Stands In Queensland, Australia ' pp. 1238-1241 . en
dc.identifier.other PURE: 161944
dc.identifier.other dspace: 2160/6800
dc.identifier.uri http://hdl.handle.net/2160/6800
dc.description Clewley, D., Lucas, R. M., Moghaddam, M., Bunting, P. J., Carreiras, J. (2010). Forest Parameter Retrieval from Sar Data Using An Estimation Algorithm Applied To Regrowing Forest Stands In Queensland, Australia, 2010 IEEE International Geoscience and Remote Sensing Symposium p. 1238-1241. IEEE International Symposium on Geoscience and Remote Sensing IGARSS en
dc.description.abstract The use of a non-linear estimation algorithm for retrieving the biomass and structure of vegetation from polarimetric Synthetic Aperture Radar (SAR) data is demonstrated for woody regrowth in Queensland, Australia dominated by Acacia harpophylla (Brigalow). By varying the size and density of trees and associated woody components (branches and trunks), multiple simulations of the backscattering coefficient (sigma(0)) were performed based on the SAR simulation model of [1]. Functions relating sigma(0) to these variables were subsequently used to generate spatial estimates from NASA JPL airborne SAR (AIRSAR) data. Above ground biomass was estimated from stem density and size measurements using available allometric relationships. The study demonstrates potential for retrieval of regrowth structure and biomass through non-linear estimation. en
dc.format.extent 4 en
dc.language.iso eng
dc.relation.ispartof en
dc.title Forest Parameter Retrieval from Sar Data Using An Estimation Algorithm Applied To Regrowing Forest Stands In Queensland, Australia en
dc.type Text en
dc.type.publicationtype Conference paper en
dc.contributor.institution Institute of Geography & Earth Sciences en
dc.contributor.institution Quaternary Environmental Change Group en
dc.description.status Non peer reviewed en


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