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Estimating landscape-scale vegetation carbon stocks using airborne multi-frequency polarimetric synthetic aperture radar (SAR) in the savannahs of north Australia

Collins, James, Hutley, Lindsay B., Williams, R., Boggs, Guy S., Bell, Darren and Bartolo, Renee (2009). Estimating landscape-scale vegetation carbon stocks using airborne multi-frequency polarimetric synthetic aperture radar (SAR) in the savannahs of north Australia. International Journal of Remote Sensing,30(5):1141-1159.

Document type: Journal Article

IRMA ID 73195523xPUB21
Title Estimating landscape-scale vegetation carbon stocks using airborne multi-frequency polarimetric synthetic aperture radar (SAR) in the savannahs of north Australia
Author Collins, James
Hutley, Lindsay B.
Williams, R.
Boggs, Guy S.
Bell, Darren
Bartolo, Renee
Journal Name International Journal of Remote Sensing
Publication Date 2009
Volume Number 30
Issue Number 5
ISSN 0143-1161   (check CDU catalogue open catalogue search in new window)
Scopus ID 2-s2.0-67650254773
Start Page 1141
End Page 1159
Total Pages 19
Place of Publication London, UK
Publisher Taylor & Francis Ltd.
HERDC Category C1 - Journal Article (DEST)
Abstract This study investigates the use of polarimetric AirSAR (TopSAR) data for estimating biomass and carbon storage of Eucalyptus miniata (Darwin Woolly Butt) and E. tetrodonta (Stringybark) dominated open-forest savannah in the Northern Territory, Australia. Radar backscatter intensity was correlated with basal area for 30 plots within the Wildman River Reserve, Northern Territory. Published allometric relationships were used to convert tree basal area to estimates of above-ground biomass for each of the measured plots. Below-ground biomass was also estimated for these plots, using additional published allometric relationships between below-ground and above-ground biomass. Backscatter of the L-HV channel had the highest regression co-efficient (r2 = 0.92) with ground-based tree basal area measurements. Using a linear regression equation of backscatter intensity for the L-HV channel versus above-ground biomass gave a mean above-ground biomass of 94 t DM (dry mass) ha-1 for the eucalypt dominated vegetation in the Wildman River Reserve, equivalent to 47 t C ha-1 stored in this biomass pool. Estimated below-ground biomass was 28 t C ha-1, giving a total carbon biomass storage for this savannah ecosystem of 75 t C ha-1. The results of this study indicate that the L-HV channel of polarimetric SAR is best suited to model biomass of the tropical savannahs of northern Australia. Given the vast spatial extent of savannah woodlands across north Australia, SAR has the potential to be a major tool in carbon stock assessment, critical for carbon accounting, as well as to contribute to gaining a better understanding of the role the tropical savannahs of northern Australia play in the biochemical cycles of Australia.
DOI http://dx.doi.org/10.1080/01431160802448935   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)
 
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