Mapping the wetland vegetation communities of the Australian Great Artesian Basin springs using SAM, MTMF and spectrally segmented PCA hyperspectral analyses

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 39, Issue , 2012, Pages 163-165

  White, D C ^a   Lewis, M M ^a  

^a UNIVERSITY OF ADELAIDE   (Australia)

Author keywords

Analysis; Ecosystem; Environment; Hyperspectral; Vegetation; Monitoring; Spectral

Indexed keywords

AERIAL PHOTOGRAPHY; BIOLOGY; ECOLOGY; ECOSYSTEMS; GROUNDWATER; GROUNDWATER RESOURCES; HYDROGEOLOGY; IMAGE ACQUISITION; IMAGE MATCHING; MAPPING; PHOTOGRAMMETRY; PHOTOMAPPING; PIXELS; SPACE OPTICS; SPECTROSCOPY; SUSTAINABLE DEVELOPMENT; VEGETATION; WETLANDS;

ANALYSIS; ECOLOGICAL SUSTAINABILITY; ENVIRONMENT; HYPER-SPECTRAL IMAGERIES; HYPERSPECTRAL; HYPERSPECTRAL REMOTE SENSING; HYPERSPECTRAL TECHNIQUES; MIXTURE TUNED MATCHED FILTERING;

REMOTE SENSING;

EID: 84905722837     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Ah Chee, D., 2002. Kwatye, Indigenous peoples connection with kwatye (water) in the Great Artesian Basin. Environment SA, 9, pp. 20-21.
2. Badman, F. J., Pickering, R. E. and Middleton, B. M., 1996. Environmental monitoring and management at the Olympic Dam Copper/Uranium Mine. In: Mulligan, D. R. (Ed) Environmental management in the Australian minerals and energy industries - principles and practice. UNSW Press and Australian Minerals and Energy Environment Foundation (AMEEF), Melbourne, Australia, pp. 468-495.
3. Boyd, W. E., 1990. Mound Springs. In: Tyler MJ, Twidale CR, Davies M, Wells CB (eds) Natural history of the north east Deserts. Royal Society of South Australia, Adelaide, Australia, pp. 107-118.
4. Cocks, T., Jenssen, R., Stewart, A., Wilson, I. and Shields, T., 1998. The HyMap airborne hyperspectral sensor: the system, calibration and performance, In: Proceedings of the 1st EARSeL Workshop on Imaging Spectroscopy, Eds. Schaepman, M., Schläpfer, D. and Itten, K. I., pp. 37-43.
5. Fensham, R. J. and Fairfax, R. J., 2003. Spring wetlands of the Great Artesian Basin, Queensland, Australia. Wetlands Ecology and Management, 11, pp. 343-362.
6. Gotch, T. B., Adams, M., Murphy, N. P., Austin, A. D., 2008. A molecular systematic overview of wolf spiders associated with Great Artesian Springs in South Australia: evolutionary origins and an assessment of metapopulation structure in two species. Invertebrate Systematics, 22, pp 151-165.
7. Hestir, E. L., Khanna, S., Andrew, M. E., Santos, M. J., Viers, J. H., Greenberg, J. A., Rajapakse, S. S. and Ustin, S. L., 2008. Identification of invasive vegetation using hyperspectral remote sensing in the California Delta ecosystem, Remote Sensing of Environment, 112, pp. 4034-4047.
8. Kruse, F. A., Boardman, J. W., Lefkoff, A. B., Young, J. M. and Kierein-Young, K. S., 2000. HyMap: an Australian hyperspectral sensor solving global problems - results from USA HyMap data acquisitions, In: Proceedings of the International Conference Australasian Remote Sensing and Photogrammetry, 18-23. Available from http://www.hyvista.com/technology/sensors [accessed: 09/02/2009].
9. Mudd, G. M., 2000. Mound springs of the Great Artesian Basin in South Australia: a case study from Olympic Dam, Environmental Geology, 39(5), pp. 463-476.
10. Ponder, W. F., 2004. Endemic aquatic macroinvertebrates of artesian springs of the Great Artesian Basin-progress and future directions. Records of the South Australian Museum Monograph Series, 7, pp. 101-110.
11. Torbick, N. and Becker, B., 2009. Evaluating Principal Components Analysis for identifying optimal bands using wetland hyperspectral measurements from the Great Lakes, USA, Remote Sensing, 1(3), pp. 208-417.
12. White, D. and Lewis, M.M., 2010. Mapping the spectral and spatial characteristics of mound spring wetland vegetation in South Australia: A novel spectrally segmented PCA approach. Proceedings American Society for Photogrammetry and Remote Sensing Annual Conference. San Diego, California, USA.
13. Zomer, R. J., Trabucco, A., Ustin, S. L., 2009. Building spectral libraries for wetlands land cover classification and hyperspectral remote sensing, Journal of Environmental Management, 90, pp. 2170-2177.