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RM - Relatórios técnicos

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http://hdl.handle.net/10400.9/178

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Percorrer RM - Relatórios técnicos por assunto "Espectroscopia de imagem"

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  • MINEO Southern Europe environment test site : contamination impact mapping and modelling : final Report
    Publication . Quental, Lídia; Bourguignon, Anne; Sousa, António Jorge; Batista, Maria Joao; Brito, M. G.; Tavares, T.; Abreu, Maria Manuela; Vairinho, M. Margarida; Cottard, Francis
    ABSTRACT: Under the framework of the MINEO project, the abandoned S.Domingos mining area as been selected as representative of Southern Europe Environment to test methods and tools for assessing and monitoring the environmental impact of mining activities using hyperspectral data and other relevant data sets. The S.Domingos mining area, is characterised by a long-term mining activity, since pre-roman times till the 1960’s, and is included in the group of Volcanogenic Massive Sulphide deposits of the Iberian Pyrite Belt. The orebody contained Cu, and also Zn and Pb. Several facilities were developed for mining works and ore transportation, covering an area of 50km2, facilitating dispersion of related pollutants. The main environmental problems can be summarised as related to waste material and their pollutant content (Zn, Pb, Sb, Cu, As, Hg and Cd), acid waters (minimum pH value of 1.7) and associated dispersion, as well as landscape disruption. Hyperspectral images were able to identify mineralogical/chemical dispersion of waste material related to Acid Mine Drainage (AMD) following two approaches: one related to AMD waste material field spectra and the other based on AMD minerals, using standard spectral libraries. The processing techniques used were mainly based on the Spectral Angle Mapper classifier and Mixture Tunned Matched Filtering. Globally, both mapping results obtained, either in AMD waste material either in AMD minerals, were able to detect mineralogical/chemical characteristics of imaged ground data, which were validated by field data. The GIS geochemical modelling allowed the determination of effective AMD area of influence, based in water pH values, using geostatistical methods. The Indicator “Collocate-Cokriging” of the water pH using the distance to the highest correlated AMD waste material (mixed sulphur materials from hyperspectral classification) predicts the AMD dispersion in the area related to that material. This methodology achieved good results and could be applied in new areas using waste material hyperspectral image classification for AMD delimitation area.
    2002Relatório Acesso aberto Ver mais