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dc.contributor.author Cronin, N.
dc.contributor.author Lucas, Richard M.
dc.contributor.author Moghaddam, M.
dc.contributor.author Lee, Alex
dc.date.accessioned 2008-12-16T14:15:38Z
dc.date.available 2008-12-16T14:15:38Z
dc.date.issued 2006-02-15
dc.identifier.citation Cronin , N , Lucas , R M , Moghaddam , M & Lee , A 2006 , ' Empirical relationships between AIRSAR backscatter and LiDAR-derived forest biomass, queensland, Australia ' Remote Sensing of Environment , vol 100 , no. 3 , pp. 407-425 . , 10.1016/j.rse.2005.10.019 en
dc.identifier.issn 0034-4257
dc.identifier.other PURE: 95167
dc.identifier.other dspace: 2160/1715
dc.identifier.uri http://hdl.handle.net/2160/1715
dc.description Lucas, Richard, Cronin, N., Moghaddam, M., Lee, A., (2006) 'Empirical relationships between AIRSAR backscatter and LiDAR-derived forest biomass, queensland, Australia', Remote Sensing of Environment 100(3) pp.407-425 RAE2008 en
dc.description.abstract To evaluate the use of multi-frequency, polarimetric Synthetic Aperture Radar (SAR) data for quantifying the above ground biomass (AGB) of open forests and woodlands, NASA JPL AIRSAR (POLSAR) data were acquired over a 37 × 60 km area west of Injune, central Queensland, Australia. From field measurements recorded within 32 50 × 50 m plots, AGB was estimated by applying species-specific allometric equations to stand measurements. AGB was then scaled-up to the larger area using relationships established with Light Detection and Ranging (LiDAR) data acquired over 150 (10 columns, 15 rows) 500 × 150 m cells (or Primary Sampling Units, PSUs) spaced 4 × 4 km apart in the north- and east-west directions. Large-scale (1 : 4000) stereo aerial photographs were also acquired for each PSU to assess species composition. Based on the LiDAR extrapolations, the median AGB for the PSU grid was 82 Mg ha− 1 (maximum 164 Mg ha− 1), with the higher levels associated with forests containing a high proportion of Angophora and Callitris species. Empirical relationships between AGB and SAR backscatter confirmed that C-, L- and P-band saturated at different levels and revealed a greater strength in the relationship at higher incidence angles and a larger dynamic range and consistency of relationships at HV polarizations. A higher level of saturation (above 50 Mg ha− 1) was observed at C-band HV compared to that reported for closed forests which was attributable to a link between foliage projected cover (FPC) and AGB. The study concludes that L-band HV backscatter data acquired at incidence angles approaching or exceeding 45° are best suited for estimating the AGB up to the saturation level of 80–85 Mg ha− 1. For regional mapping of biomass below the level of saturation, the use of the Japanese Space Exploration Agency (JAXA) Advanced Land Observing Satellite (ALOS) Phase Arrayed L-band SAR (PALSAR) is advocated. en
dc.format.extent 19 en
dc.language.iso eng
dc.relation.ispartof Remote Sensing of Environment en
dc.title Empirical relationships between AIRSAR backscatter and LiDAR-derived forest biomass, queensland, Australia en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1016/j.rse.2005.10.019
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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