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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.
