Use of NASA’s AVIRIS-NG imagery for environmental mapping at the Rio Tinto mining district, southwestern Spain
DOI:
https://doi.org/10.29150/jhrs.v12.4.p154-165Keywords:
Hyperspectral, mine waste, sulfidesAbstract
Airborne hyperspectral imagery recorded by the NASA’s Next Generation Advanced Visible/Infrared Imaging Spectrometer (AVIRIS-NG) was analyzed for environmental mapping of the Rio Tinto mining district in southwestern Spain. The Rio Tinto mining district contains a giant world-class polymetallic sulfide deposit that has been mined from the antiquity to the modern times. The mining and ore processing activities have created large areas covered by sulfide-bearing mine waste, tailings, flooded open pits, slags, galleries and other mining facilities. The sulfide-bearing mine waste generates acid mine drainage (AMD) that contaminates the fluvial network. The Rio Tinto River is one of most AMD contaminated rivers in the world. Many secondary minerals associated with sulfide-bearing mine waste have diagnostic reflectance spectra due to absorptions of ferric and ferrous iron, water and hydroxyl. The mapping of the surface distribution of these secondary minerals is useful for environmental studies. The AVIRIS-NG radiance data were converted to surface reflectance using the Fast Line-of-sight Atmospheric Analysis of Hypercubes model. The AVIRIS-NG imagery was analyzed using the spectral mixture analysis. The AVIRIS-NG accurately mapped acid water, jarosite, goethite, hematite, melanterite, rozenite, copiapite, gypsum, undifferentiated metal sulfate hydrates, sericite and kaolinite. Acid waters occur in the tailings ponds, in the Rio Tinto River, and in various other locations within the study area. Jarosite, goethite and hematite are the predominant secondary iron minerals in the areas covered by sulfide-bearing mine waste. These secondary iron minerals are indicators of acid mine drainage generation. In few locations were distinguished from the AVIRIS-NG data the mineral melanterite and its dehydration product rozenite. The study gives new information on the surface distribution of environmentally important secondary iron minerals in the Rio Tinto mining district in southwestern Spain. The mapping results produced by the analysis of the AVIRIS-NG data can be useful to the environmental studies concerned with the pollution from acid mine drainage of the fluvial network of the area.
Uso de imagens AVIRIS-NG da NASA para mapeamento ambiental no distrito de mineração de Rio Tinto, sudoeste da Espanha
Resumo
As imagens hiperespectrais aerotransportadas registradas pelo espectrômetro avançado de imagens visíveis/infravermelhas da NASA (AVIRIS-NG) foram analisadas para o mapeamento ambiental do distrito de mineração de Rio Tinto, no sudoeste da Espanha. O distrito de mineração de Rio Tinto contém um gigantesco depósito de sulfeto polimetálico de classe mundial que foi extraído desde a antiguidade até os tempos modernos. As atividades de mineração e processamento de minério criaram grandes áreas cobertas por resíduos de mineração contendo sulfeto, rejeitos, minas a céu aberto inundadas, escórias, galerias e outras instalações de mineração. Os rejeitos de mineração contendo sulfetos geram drenagem ácida de mina (DAM) que contamina a rede fluvial. O rio Rio Tinto é um dos rios mais contaminados pela AMD no mundo. Muitos minerais secundários associados com rejeitos de mina contendo sulfetos têm espectros de refletância diagnósticos devido a absorções de ferro férrico e ferroso, água e hidroxila. O mapeamento da distribuição superficial desses minerais secundários é útil para estudos ambientais. Os dados de radiância do AVIRIS-NG foram convertidos em refletância de superfície usando o modelo de Análise Atmosférica de Linha de Visão Rápida de Hipercubos. As imagens do AVIRIS-NG foram analisadas usando a análise de mistura espectral. O AVIRIS-NG mapeou com precisão água ácida, jarosita, goethita, hematita, melanterita, rozenita, copiapita, gesso, hidratos de sulfato de metal indiferenciado, sericita e caulinita. Águas ácidas ocorrem nas lagoas de rejeitos, no rio Rio Tinto e em vários outros locais dentro da área de estudo. Jarosita, goetita e hematita são os minerais de ferro secundários predominantes nas áreas cobertas por rejeitos de mineração contendo sulfetos. Esses minerais de ferro secundários são indicadores de geração de drenagem ácida de mina. Em poucos locais foram distinguidos dos dados do AVIRIS-NG o mineral melanterita e seu produto de desidratação rozenita. O estudo fornece novas informações sobre a distribuição superficial de minerais de ferro secundário de importância ambiental no distrito de mineração de Rio Tinto, no sudoeste da Espanha. Os resultados do mapeamento produzidos pela análise dos dados do AVIRIS-NG podem ser úteis para os estudos ambientais relacionados com a poluição por drenagem ácida de mina da rede fluvial da área
References
Adams, J.B. and Gillespie, A.R., 2006. Remote sensing of landscapes with spectral images: A physical modeling approach. Cambridge University Press.
Adler-Golden, S., Berk, A., Bernstein, L.S., Richtsmeier, S., Acharya, P.K., Matthew, M.W., Anderson, G.P., Allred, C.L., Jeong, L.S. and Chetwynd, J.H., 1998. FLAASH, a MODTRAN4 atmospheric correction package for hyperspectral data retrievals and simulations. In Proc. 7th Ann. JPL Airborne Earth Science Workshop (Vol. 97, pp. 9-14). Pasadena, CA: JPL Publication.
Alpers, C.N., Blowes, D.W., Nordstrom, D.K. and Jambor, J.L., 1994. Secondary minerals and acid mine-water chemistry. In: Jambor, J.L. and Blowes, D.W. (eds) Short Course Handbook on Environmental Geochemistry of Sulfide Mine-Wastes. Mineralogical Association of Canada, Waterloo, Ontario, 247–270.
Amils, R., González-Trill, E., Fernández-Remolar, D., Gómez, F., Aguilera, Á., Rodríguez, N., Malki, M., García-Moyano, A., Fairén, A.G., de la Fuente, V. and Sanz, J.L., 2007. Extreme environments as Mars terrestrial analogs: The Rio Tinto case. Planetary and Space Science, 55, 370-381.
Antón-Pacheco, C., Rowan, L.C., Mars, J.C. and Gumiel, J.C., 2001. Characterization of mine waste materials and hydrothermally altered rocks in the Rio Tinto mining district (southwest Spain) using Hymap data. Revista de Teledetección, 16, 65-68.
Bedini, E., 2017. The use of hyperspectral remote sensing for mineral exploration: A review. Journal of Hyperspectral Remote Sensing, 7(4), 189-211.
Bedini, E., 2012. Mapping alteration minerals at Malmbjerg molybdenum deposit, central East Greenland, by Kohonen self-organizing maps and matched filter analysis of HyMap data. International Journal of Remote Sensing, 33, 939-961.
Bedini, E., van der Meer, F. and van Ruitenbeek, F., 2009. Use of HyMap imaging spectrometer data to map mineralogy in the Rodalquilar caldera, southeast Spain. International Journal of Remote Sensing, 30, 327-348.
Bedini, E. and Tukiainen, T., 2009. Using spectral mixture analysis of hyperspectral remote sensing data to map lithology of the Sarfartoq carbonatite complex, southern West Greenland. GEUS Bulletin, 17, 69-72.
Berman, M., Kiiveri, H., Lagerstrom, R., Ernst, A., Dunne, R. and Huntington, J.F., 2004. ICE: A statistical approach to identifying endmembers in hyperspectral images. IEEE Transactions on Geoscience and Remote Sensing, 42, 2085-2095.
Bishop, J.L., Lane, M.D., Dyar, M.D., King, S.J., Brown, A.J. and Swayze, G.A., 2014. Spectral properties of Ca-sulfates: Gypsum, bassanite, and anhydrite. American Mineralogist, 99, 2105-2115.
Bishop, J.L. and Murad, E., 2005. The visible and infrared spectral properties of jarosite and alunite. American Mineralogist, 90, 1100-1107.
Buckby, T., Black, S., Coleman, M.L. and Hodson, M.E., 2003. Fe-sulphate-rich evaporative mineral precipitates from the Rio Tinto, southwest Spain. Mineralogical Magazine, 67, 263-278.
Cánovas, C.R., Macías, F., Basallote, M.D., Olías, M., Nieto, J.M. and Pérez-López, R., 2021. Metal (loid) release from sulfide-rich wastes to the environment: the case of the Iberian Pyrite Belt (SW Spain). Current Opinion in Environmental Science & Health, 20, p.100240.
Carter, J., Poulet, F., Murchie, S. and Bibring, J.P., 2013. Automated processing of planetary hyperspectral datasets for the extraction of weak mineral signatures and applications to CRISM observations of hydrated silicates on Mars. Planetary and Space Science, 76, 53-67.
Chapman, J.W., Thompson, D.R., Helmlinger, M.C., Bue, B.D., Green, R.O., Eastwood, M.L., Geier, S., Olson-Duvall, W. and Lundeen, S.R., 2019. Spectral and radiometric calibration of the next generation airborne visible infrared spectrometer (AVIRIS-NG). Remote Sensing, 118, p. 2129.
Choe, E., van der Meer, F., van Ruitenbeek, F., van der Werff, H., de Smeth, B. and Kim, K.W., 2008. Mapping of heavy metal pollution in stream sediments using combined geochemistry, field spectroscopy, and hyperspectral remote sensing: A case study of the Rodalquilar mining area, SE Spain. Remote Sensing of Environment, 112, 3222-3233.
Clark, R.N. Spectroscopy of Rocks and Minerals, and Principles of Spectroscopy, in: A. Rencz (Ed.), Manual of Remote Sensing vol. 3. Wiley and Sons Inc., New York, pp. 3-58, 1999.
Córdoba, F., Luís, A.T., Leiva, M., Sarmiento, A.M., Santisteban, M., Fortes, J.C., Dávila, J.M., Álvarez-Bajo, O. and Grande, J.A., 2022. Biogeochemical indicators (waters/diatoms) of acid mine drainage pollution in the Odiel river (Iberian Pyritic Belt, SW Spain). Environmental Science and Pollution Research, 12 p.
Crowley, J.K., Williams, D.E., Hammarstrom, J.M., Piatak, N., Chou, I.M. and Mars, J.C., 2003. Spectral reflectance properties (0.4–2.5 μm) of secondary Fe-oxide, Fe-hydroxide, and Fe-sulphate-hydrate minerals associated with sulphide-bearing mine wastes. Geochemistry: Exploration, Environment, Analysis, 3, 219-228.
Dold, B., 2014. Evolution of acid mine drainage formation in sulphidic mine tailings. Minerals, 4, 621-641.
Elghali, A., Benzaazoua, M., Bouzahzah, H., Bussière, B. and Villarraga-Gómez, H., 2018. Determination of the available acid-generating potential of waste rock, part I: Mineralogical approach. Applied Geochemistry, 99, 31-41.
Sánchez España, J., Pamo, E.L., Santofimia, E., Aduvire, O., Reyes, J. and Barettino, D., 2005. Acid mine drainage in the Iberian Pyrite Belt (Odiel river watershed, Huelva, SW Spain): geochemistry, mineralogy and environmental implications. Applied geochemistry, 20, 1320-1356.
Farrand, W.H. and Bhattacharya, S., 2021. Tracking Acid Generating Minerals and Trace Metal Spread from Mines using Hyperspectral Data: Case Studies from Northwest India. International Journal of Remote Sensing, 42, 2920-2939.
Fernández-Remolar, D.C., Morris, R.V., Gruener, J.E., Amils, R. and Knoll, A.H., 2005. The Río Tinto Basin, Spain: mineralogy, sedimentary geobiology, and implications for interpretation of outcrop rocks at Meridiani Planum, Mars. Earth and Planetary Science Letters, 240, 149-167.
Goetz, A.F., 2009. Three decades of hyperspectral remote sensing of the Earth: A personal view. Remote Sensing of Environment, 113, S5-S16.
Kokaly, R.F., Clark, R.N., Swayze, G.A., Livo, K.E., Hoefen, T.M., Pearson, N.C., Wise, R.A., Benzel, W.M., Lowers, H.A., Driscoll, R.L. and Klein, A.J., 2017. USGS spectral library version 7 data: Us Geological Survey data release. United States Geological Survey (USGS): Reston, VA, USA.
Kruse, F.A., 2012. Mapping surface mineralogy using imaging spectrometry. Geomorphology, 137, 41-56.
Kopačková, V. and Hladíková, L., 2014. Applying spectral unmixing to determine surface water parameters in a mining environment. Remote Sensing, 6, 11204-11224.
Liu, Y., Glotch, T.D., Scudder, N.A., Kraner, M.L., Condus, T., Arvidson, R.E., Guinness, E.A., Wolff, M.J. and Smith, M.D., 2016. End‐member identification and spectral mixture analysis of CRISM hyperspectral data: A case study on southwest Melas Chasma, Mars. Journal of Geophysical Research: Planets, 121, 2004-2036.
Nieva, N.E., Garcia, M.G., Borgnino, L. and Borda, L.G., 2021. The role of efflorescent salts associated with sulfide-rich mine wastes in the short-term cycling of arsenic: Insights from XRD, XAS, and µ-XRF studies. Journal of Hazardous Materials, 404, 124158.
Olías, M., Cánovas, C.R., Macías, F., Basallote, M.D. and Nieto, J.M., 2020. The evolution of pollutant concentrations in a river severely affected by acid mine drainage: Río Tinto (SW Spain). Minerals, 10, p.598.
Olías, M., Nieto, J.M., 2015. Background conditions and mining pollution throughout history in the Río Tinto (SW Spain). Environments, 2, 295–316.
Olías, M., Nieto, J.M., Sarmiento, A.M., Cánovas, C.R. and Galván, L., 2011. Water quality in the future Alcolea reservoir (Odiel River, SW Spain): a clear example of the inappropriate management of water resources in Spain. Water resources management, 25, 201-215.
Pascual, E., Donaire, T., Toscano, M., Macías, G., Pin, C. and Hamilton, M.A., 2021. Geochemical and Volcanological Criteria in Assessing the Links between Volcanism and VMS Deposits: A Case on the Iberian Pyrite Belt, Spain. Minerals, 11, p.826.
Pi-Puig, T., Solé, J. and Gómez Cruz, A., 2020. Mineralogical Study and Genetic Model of Efflorescent Salts and Crusts from Two Abandoned Tailings in the Taxco Mining District, Guerrero (Mexico). Minerals, 10, p.871.
Riaza, A., Buzzi, J., Garcia-Melendez, E., Carrère, V., Sarmiento, A. and Müller, A., 2015. Monitoring acidic water in a polluted river with hyperspectral remote sensing (HyMap). Hydrological Sciences Journal, 60, 1064-1077.
Riaza, A., Buzzi, J., García-Meléndez, E., Carrère, V. and Müller, A., 2011. Monitoring the extent of contamination from acid mine drainage in the Iberian Pyrite Belt (SW Spain) using hyperspectral imagery. Remote Sensing, 3, 2166-2186.
Roach, L.H., Mustard, J., Gendrin, A., Fernández-Remolar, D., Amils, R. and Amaral-Zettler, L., 2006. Finding mineralogically interesting targets for exploration from spatially coarse visible and near IR spectra. Earth and Planetary Science Letters, 252, 201-214.
Roberts, D.A., Gardner, M., Church, R., Ustin, S., Scheer, G. and Green, R.O., 1998. Mapping chaparral in the Santa Monica Mountains using multiple endmember spectral mixture models. Remote sensing of environment, 65(3), pp.267-279.
Sobron, P., Bishop, J.L., Blake, D.F., Chen, B. and Rull, F., 2014. Natural Fe-bearing oxides and sulfates from the Rio Tinto Mars analog site: Critical assessment of VNIR reflectance spectroscopy, laser Raman spectroscopy, and XRD as mineral identification tools. American Mineralogist, 99, 1199-1205.
Swayze, G.A., Smith, K.S., Clark, R.N., Sutley, S.J., Pearson, R.M., Vance, J.S., Hageman, P.L., Briggs, P.H., Meier, A.L., Singleton, M.J. and Roth, S., 2000. Using imaging spectroscopy to map acidic mine waste. Environmental Science & Technology, 34, 47-54.
de la Torre, M.L., Grande, J.A., Graiño, J., Gómez, T. and Cerón, J.C., 2011. Characterization of AMD pollution in the river Tinto (SW Spain). Geochemical comparison between generating source and receiving environment. Water, Air, & Soil Pollution, 216, 3-19.
Valente, T.M. and Gomes, C.L., 2009. Occurrence, properties and pollution potential of environmental minerals in acid mine drainage. Science of the Total Environment, 407, 1135-1152.
Williams, D.J., Bigham, J.M., Cravotta, I., C.A., Trainaa, S.J., Anderson, J.E. and Lyon, J.G., 2002. Assessing mine drainage pH from the color and spectral reflectance of chemical precipitates. Applied Geochemistry, 17, 1273-1286.
Young, P.L., 1997. The longevity of minewater pollution: a basis for decision-making. Science of the Total Environment, 194, 457-466.
Zabcic, N., Rivard, B., Ong, C. and Müller, A., 2014. Using airborne hyperspectral data to characterize the surface pH and mineralogy of pyrite mine tailings. International Journal of Applied Earth Observation and Geoinformation, 32, 152-162.
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