Authors: Weiersbye, IM; Margalit, N; Feingersh, T; Revivo, G; Stark, R; Zur, Y; Heller, D; Braun, O; Cukrowska, EM

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DOI https://doi.org/10.36487/ACG_repo/605_52

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Weiersbye, IM, Margalit, N, Feingersh, T, Revivo, G, Stark, R, Zur, Y, Heller, D, Braun, O & Cukrowska, EM 2006, 'Use of Airborne Hyper-Spectral Remote Sensing (HSRS) to Focus Remediation and Monitor Vegetation Processes on Gold Mining Landscapes in South Africa', in AB Fourie & M Tibbett (eds), Proceedings of the First International Seminar on Mine Closure, Australian Centre for Geomechanics, Perth, pp. 601-611, https://doi.org/10.36487/ACG_repo/605_52

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Abstract:
Gold has been mined from the Witwatersrand Basin for over a century at depths ranging from surface to over 4 km deep. Uranium has been similarly mined for over 50 years. Waste-rock and milled tailings are stored in unlined and mountainous tailings storage facilities (TSFs), most of which experience wall failures, erosion and seepage. Further transport of contaminants occurs via wind and water-borne pathways, and efflorescence of minerals from acid mine drainage (AMD) may be visible on soils many kilometres distant from the original source (Naiker et al., 2003). However, most contamination cannot be detected without detailed chemical investigations. Cost-effective methods for mapping contamination over large areas would assist in identifying potential risks, and help focus financial resources for strategic remediation. Accurate mapping of contaminant baselines before, and after, remediation would also allow environmental improvements to be visualized. Demonstrating environmental compliance is crucial for mines in South Africa, as lack thereof can lead to the loss of the mining permit, as well as failure to achieve mine closure. Earth observation systems on board satellites are widely used to map land-use, vegetation and some minerals. For example, the multi-spectral ASTER sensor on NASA’s TERRA satellite was used to map contamination around Johannesburg (Sutton et al., 2006). However, the spectral and spatial resolution of ASTER is too low for the detailed mapping that we require in our research program, which focuses on the use of vegetation to reclaim contaminated soils and groundwater. In contrast, airborne HSRS is characterised by high spectral and spatial resolution. We were especially interested in whether airborne HSRS could detect landscape processes associated with trees, and in whether HSRS would be suitable for monitoring the performance of different tree species planted to control acid mine drainage (AMD; Weiersbye et al., 2002). We tested the capacity of airborne HSRS at two altitudes for the mapping of vegetation, seepage and minerals on a range of semi-arid landscapes. Ground-truthing comprised geo-referenced and hand-held spectral readings of vegetation, soils, tailings, mineral efflorescence and other representative surfaces, followed by chemical and mineralogical analyses of samples. Airborne HSRS proved to be a consistent tool for the mapping of minerals, seepage and vegetation across a range of landscapes, provided that ground- truthing was adequate. This paper comprises an overview of the HSRS applications found to be achievable. Mine Closure 2006 ― Andy Fourie and Mark Tibbett (eds) © 2006 Australian Centre for Geomechanics, Perth, ISBN 0-9756756-6-4 Mine Closure 2006, Perth, Australia 601

References:
Carter, G.A. (1994) Ratios of leaf reflectances in narrow wavebands as indicators of plant stress. International Journal
of Remote Sensing 15, pp. 697-703.
Carlson, T.N. and Ripley, D.A. (1997) On the relation between NDVI, fractional vegetation cover, and leaf area index.
Remote Sensing of Environment 62(3), pp. 241-252.
Clark, R.N. (1999) Spectroscopy of Rocks and Minerals and Principles of Spectroscopy. Manual of Remote Sensing,
Remote Sensing for the Earth Sciences. Rencz and Ryerson (eds), John Wiley and Sons, 699 p.
Datt, B. (1999) Visible/near infrared reflectance and chlorophyll content in Eucalyptus leaves. International Journal of
Remote Sensing 20(14), pp. 2741-2759.
Dickinson, N.M. (2000) Strategies for sustainable woodland on contaminated soils. Chemosphere 41, 259-263.
Ebbs, S., Brady, D., Norvell, W. and Kochian, L. (2001) Uranium speciation, plant uptake and phytoremediation.
Practice Periodical of Hazardous, Toxic & Radioactive Waste Management July, pp. 130-135.
ENVI 4.2 Reference Guides (2005).
Erdman, J.A. and Christenson, S. (2000) Elements in cottonwood trees as an indicator of ground water contaminated by
landfill leachate. Groundwater monitoring & Remediation 20(1), pp. 120-126.
Farrington, P. and Salama, R.B. (1996) Controlling dryland salinity by planting trees in the best possible
hydrogeological setting. Land Degradation & Development Vol. 7, pp. 183-204.
Use of Airborne Hyper-Spectral Remote Sensing (HSRS) to Focus Remediation
and Monitor Vegetation Processes on Gold Mining Landscapes in South Africa
I.M. Weiersbye, et al.
610 Mine Closure 2006, Perth, Australia
Gao, B.C. (1995) Normalized Difference Water Index for Remote Sensing of Vegetation Liquid Water from Space.
Proceedings of SPIE 2480, pp. 225-236.
Gitelson, A.A. and Merzlyak, M.N. (1997) Remote Estimation of Chlorophyll Content in higher Plant Leaves.
International Journal of Remote Sensing 18(12), pp. 291-298.
Gitelson, A.A., Merzlyak, M.N. and Chivkunova, O.B. (2001) Optical Properties and Nondestructive Estimation of
Anthocyanin Content in Plant Leaves. Photochemistry and Photobiology 71, pp. 38-45.
Meagher, R.B. (2000) Phytoremdiation of toxic elemental and organic pollutants. Current Opinion in Plant Biology 3,
pp. 153-162.
Mehary, A.A. (1994) Integrated tolerance mechanisms: constitutive and adaptive plant responses to elevated metal
concentrations in the environment. Plant, Cell & Environment 7, pp. 989-993.
Merzlyak, J.R., Gitelson, A.A., Chivkunova, O.B. and Rakitin, V.Y. (1999) Non-destructive Optical Detection of
Pigment Changes During Leaf Senescence and Fruit Ripening. Physiologia Plantarum 106, pp. 135-141.
Mueller, A. and Kaufman, H. (2002) Imaging Spectroscopy in Mining Environments, the Experience of DLR. 2nd
MINEO Workshop.
Naicker, K., Cukrowska, E. and McCarthy, T.S. (2003) Acid mine drainage arising from gold mining activity in
Johannesburg, South Africa and environs. Journal of Environmental Pollution 122, pp. 29-40.
Sutton, M.W., Weiersbye, I.M., Galpin, J. and Heller, D. (2006) GIS-based history of gold mining and risk assessment
of land-uses on the Witwatersrand Basin of South Africa. 1st International Seminar on Mine Closure, Perth,
Australia, September 2006.
Tucker, C.J. (1979) Red and Photographic Infrared Linear Combinations for Monitoring Vegetation. Remote Sensing.
of the Environment 8, pp. 127-150.
Tutu, H., Cukrowska, E.M., McCarthy, T.S., Mphephu, N.F. and Hart, R. (2003) Determination and modelling of
geochemical speciation of uranium in gold mine polluted land in South Africa. Mine Water and the
Environment, Armstrong, D, A.B. de Villiers, R.L.P. Kleinmann, T.S. McCarthy & P.J. Norton (eds).
Proceedings of the 8th International Mine Water Association Congress, Johannesburg, South Africa, pp. 137-
149.
Tutu, H., Cukrowska, E. M., Dohnal, V. and Havel, J. (2005) Application of artificial neural networks for classification
of uranium distribution in the central Rand goldfield, South Africa. Environmental Modelling and Assessment,
10, pp. 143-152.
USGS Spectral Library (2005) United States Geological Services.
Vaughan, R.G. and Calvin, W.M. (2004) Mapping Weathering and Alteration Minerals in Virginia City, Nevada with
AVIRIS and HyperSpecTIR. Proceedings of the 13th Airborne Geoscience Workshop, JPL, Pasadena,
California.
Weiersbye, I.M. and Witkowski, E.T.F. (2003) Acid rock drainage from gold tailings dams on the Witwatersrand basin
impacts on tree seed fate, inorganic content and seedling morphology. Mine Water and the Environment, D.
Armstrong, A.B. de Villiers, R.L.P. Kleinmann, T.S. McCarthy & P.J. Norton (eds). Proceedings of the 8th
International Congress on Mine Water & the Environment, Johannesburg, South Africa, pp. 311-328.
Weiersbye, I.M., Witkowski, E.T.F., Dye, P., Vivier, J.J.K., Van Rensburg, H.J., Herbert, M., Amis, E.J., Parsons, S.J.,
Reichardt, M., Fourie, L., Holmwood, R. and Van Wyk, A. (2002) The Containment of Pollution from Tailings
Dams. Invited Report to the Directorate of Community Forestry, Dept. Water Affairs & Forestry, and the
Directorate of Mine Rehabilitation, Dept. Minerals & Energy, WITS_GOVT_20/07/02V2, 71 p.
Weiersbye, I.M., Margalit, N., Cukrowska, E.M., Feingersh, T., Revivo, G., Braun, O., Stark, R. and Zur, Y. (2006a)
Acid mine drainage and cycling of contaminants by phreatophyte vegetation: implications for land-use planning.
Multiple Use Management of Natural forests and Woodlands: Policy Refinements and Scientific Progress.
Proceedings of the Natural Forests & Savanna Woodlands Symposium IV, Bester, J. (ed). Department of Water
Affairs & Forestry of South Africa. Submitted.
Weiersbye, I.M., Witkowski, E.T.F. and Reichardt, M. (2006b) The flora of gold and uranium tailings dams, and
contaminated soils, on South Africa’s deep-level mines. Bothalia 36(1), pp. 101-127.
Winde, F., Wade, P. and Van der Walt, I.J. (2004) Gold tailings as a source of waterborne uranium contamination of
streams – The Koekemoerspruit (Klerksdorp goldfield, South Africa) as a case study. Part I of III: Uranium
migration along the aqueous pathway. Water SA 30(2), pp. 219-225.
Contaminant Risks and Off-Site Impacts
Mine Closure 2006, Perth, Australia 611




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