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increases in spring tail and fringe vegetation (Cyperus spp., 
Sparabolus spp.). 
4. CONCLUSIONS 
Our results indicate that a combination of hyperspectral remote 
sensing techniques which reduce superfluous wavebands 
providing a targeted spectral matching approach are capable of 
discriminating and mapping key vegetation communities of the 
GAB springs. This approach provides reliable baseline mapping 
of the GAB spring wetland vegetation communities, with 
repeatability over space and time. In addition it has the 
capability to determine the sensitivity of spring wetland 
vegetation extent, distribution and diversity, to associated 
changes in spring flow rates due to water extractions. This 
approach will ultimately inform water allocation plan 
management policies. 
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6. ACKNOWLEDGEMENTS 
The research presented in this paper was sponsored by the 
National Water Commission under its Raising National Water 
Standards program as part of the Allocating water and 
maintaining springs in the Great Artesian Basin project. The 
authors would also like to acknowledge the partner 
organisations of the project: South Australian Arid Lands 
Natural Resource Management Board (SAALNRMB); 
Department for Water (DFW); Department of Environment and 
Natural Resources (DENR); Commonwealth Scientific and 
Research Organisation (CSIRO); Finders University; and The 
University of Adelaide. We would also like to warmly thank the 
traditional owners and native title holders along with pastoral 
land owners for permitting access to their land; HyVista for 
acquiring the HyMap hyperspectral airborne imagery; Mr Travis 
Gotch, ecology chief investigator for his expert knowledge of 
the GAB springs in SA; and everyone who has assisted with 
field data collection.