An Evaluation of the ALOS PALSAR L-Band Backscatter-Above Ground Biomass Relationship Queensland, Australia: Impacts of Surface Moisture Condition and Vegetation Structure

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dc.contributor.author Lucas, Richard
dc.contributor.author Armston, John
dc.contributor.author Fairfax, Russell
dc.contributor.author Fensham, Rod
dc.contributor.author Accad, Arnon
dc.contributor.author Carreiras, Joao
dc.contributor.author Kelley, Jack
dc.contributor.author Bunting, Peter
dc.contributor.author Clewley, Dan
dc.contributor.author Bray, Steven
dc.contributor.author Metcalfe, Dan
dc.contributor.author Dwyer, John
dc.contributor.author Bowen, Michiala
dc.contributor.author Eyre, Teresa
dc.contributor.author Laidlaw, Melinda
dc.contributor.author Shimada, Masanobu
dc.date.accessioned 2011-06-13T11:31:50Z
dc.date.available 2011-06-13T11:31:50Z
dc.date.issued 2010-12-01
dc.identifier.citation Lucas , R , Armston , J , Fairfax , R , Fensham , R , Accad , A , Carreiras , J , Kelley , J , Bunting , P , Clewley , D , Bray , S , Metcalfe , D , Dwyer , J , Bowen , M , Eyre , T , Laidlaw , M & Shimada , M 2010 , ' An Evaluation of the ALOS PALSAR L-Band Backscatter-Above Ground Biomass Relationship Queensland, Australia: Impacts of Surface Moisture Condition and Vegetation Structure ' IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , vol 3 , no. 4 , pp. 576-593 . , 10.1109/JSTARS.2010.2086436 en
dc.identifier.issn 1939-1404
dc.identifier.other PURE: 167040
dc.identifier.other dspace: 2160/7049
dc.identifier.uri http://hdl.handle.net/2160/7049
dc.description Lucas, R., Armston, J., Fairfax, R., Fensham, R., Accad, A., Carreiras, J., Keeley, J., Bunting, P., Clewley, D., Bray, S., Metcalfe, D. et al (2010). An Evaluation of the ALOS PALSAR L-Band Backscatter-Above Ground Biomass Relationship Queensland, Australia: Impacts of Surface Moisture Condition and Vegetation Structure. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 3(4), Part 2, 576-593. en
dc.description.abstract Focusing on woody vegetation in Queensland, Australia, the study aimed to establish whether the relationship between Advanced Land Observing Satellite (ALOS) Phased Array L-band SAR (PALSAR) HH and HV backscattering coefficients and above ground biomass (AGB) was consistent within and between structural formations (forests, woodlands and open woodlands, including scrub). Across these formations, 2781 plot-based measurements (from 1139 sites) of tree diameters by species were collated, from which AGB was estimated using generic allometric equations. For Queensland, PALSAR fine beam dual (FBD) 50 m strip data for 2007 were provided through the Japanese Space Exploration Agency's (JAXA) Kyoto and Carbon (K&C) Initiative, with up to 3 acquisitions available for each Reference System for Planning (RSP) paths. When individual strips acquired over Queensland were combined, 'banding' was evident within the resulting mosaics, with this attributed to enhanced L-band backscatter following rainfall events in some areas. Reference to Advanced Microwave Scanning Radiometer-EOS (AMSR-E) data indicated that strips with enhanced L-band backscatter corresponded to areas with increased effective vegetation water content kg m(-2) and, to a lesser extent, soil moisture g cm(-3). Regardless of moisture conditions, L-band HV topographically normalized backscattering intensities backscatter (sigma(o)(f)) increased asymptotically with AGB, with the saturation level being greatest for forests and least for open woodlands. However, under conditions of relative maximum surface moisture, L-band HV and HH sigma(o)(f) was enhanced by as much as 2.5 and 4.0 dB respectively, particularly for forests of lower AGB, with this resulting in an overall reduction in dynamic range. The saturation level also reduced at L-band HH for forests and woodlands but remained similar for open woodlands. Differences in the rate of increase in both L-band HH and HV sigma(o)(f) with AGB were observed between forests and the woodland categories (for both relatively wet and dry conditions) with these attributed, in part, to differences in the size class distribution and stem density between non-remnant (secondary) forests and remnant woodlands of lower AGB. The study concludes that PALSAR data acquired when surface moisture and rainfall are minimal allow better estimation of the AGB of woody vegetation and that retrieval algorithms ideally need to consider differences in surface moisture conditions and vegetation structure. en
dc.format.extent 18 en
dc.language.iso eng
dc.relation.ispartof IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing en
dc.title An Evaluation of the ALOS PALSAR L-Band Backscatter-Above Ground Biomass Relationship Queensland, Australia: Impacts of Surface Moisture Condition and Vegetation Structure en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1109/JSTARS.2010.2086436
dc.contributor.institution Institute of Geography & Earth Sciences en
dc.contributor.institution Quaternary Environmental Change Group en
dc.description.status Peer reviewed en


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