Abstract
The weights of evidence modeling approach was used to locate zones that are favorable for gold mineralization in Rio das Velhas Greenstone Belt, Quadrilatero Ferrifero (QF). The quantitative relationships between geological, geophysical and remote sensing data sets representative of deposit recognition criteria and known gold occurrences are determined using weights of evidence analysis. The geological framework provided the foundation to construct a predictive model that highlight prospective regions in the study area with high exploration potential for greenstone-hosted gold deposits, and specifically delineates potential subregions. This approach has shown great capability for linking geological, geophysical and remote sensing interpretation, as well as hybrid products. The results of these modeling map areas of exposed and subsurface geologic units that are important to gold exploration in the area.
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