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Predictive GIS model for potential mapping of Cu,Pb, Zn mineralization
Authors:Tarik Benomar  Bian Fuling
Institution:State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing , Wuhan University , Wuhan , China
Abstract:The geologic features indicative of Cu, Pb, Zn mineral deposits in a area are fractures (structure), and host rock sediments. Datasets used include Cu, Pb, Zn deposit points record, geological data, remote sensing imagery (Landsat TM5). The mineral potential of the study area is assessed by means of GIS based geodata integration techniques for generating predictive maps. GIS predictive model for Cu, Pb, Zn potential was carried out in this study area (Weixi) using weight of evidence.
Keywords:geographic information system  weights of evidence  mineral resource prediction
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