Machine learning methods that have been used in data-driven predictive modeling of mineral prospectivity (e.g., artificial neural networks) invariably require large number of training prospect/locations and are unable to handle missing values in certain evidential data. The Random Forests (RF) algorithm, which is a machine learning method, has recently been applied to data-driven predictive map...

Drill-core samples are a key component in mineral exploration campaigns, and their rapid objective analysis is becoming increasingly important. Hyperspectral imaging of drill-cores non-destructive technique that allows for non-invasive fast mapping phases alteration patterns. The use adapted machine learning techniques such as supervised algorithms robust accurate drill-core hyperspectral data....

The Great Basin of the Western United States has thin continental crust and geologic structures that have controlled the emplacement of significant precious and base metal mineralization. Many of the mineral deposits in the Great Basin were emplaced by hydrothermal processes that altered the mineralogy of their host rock assemblages and facilitated concentration of metals. In the 1960’s and 197...

Merging hyperspectral data from optical and thermal ranges allows a wider variety of minerals to be mapped and thus allows lithology to be mapped in a more complex way. In contrast, in most of the studies that have taken advantage of the data from the visible (VIS), near-infrared (NIR), shortwave infrared (SWIR) and longwave infrared (LWIR) spectral ranges, these different spectral ranges were ...

Certain alteration minerals are used to identify the hydrothermally altered rocks. In volcanic rocks, mainly potassic, phyllic (sericitic), propylitic, argillic alteration and silicification are observed. The role of remote sensing in alteration mapping is the differentiation of the minerals that are unique for different alteration types. In this study, Landsat TM 5 images are used. General alt...

the study area covers the northern part of the baft geological map (scale of 1:100 000 ). several porphyry and vein-type mineralization are reported from this area. a topic that is discussed in the mineral exploration community is the use of remote sensing and airborne geophysics for porphyry type mineralization. which one is more reliable and efficient in hydrothermal alteration mapping? airbo...

This work describes a knowledge-guided clustering approach for mineral potential mapping (MPM), by which the optimum number of clusters is derived form a knowledge-driven methodology through a concentration-area (C-A) multifractal analysis. To implement the proposed approach, a case study at the North Narbaghi region in the Saveh, Markazi province of Iran, was investigated to discover porphyry ...

X-ray mapping is increasingly used in the geological sciences for qualitative observations of textures, mineral zoning, and element distribution among rock components [1-4]. We combine mapping with an aggressive program of image analysis in deepening our understanding of the early solar system through the analysis of chondritic meteorites [5, 6]. Chondrites are “sediments” that accreted in the ...

Mineral prospectivity mapping is a crucial technique for discovering new economic mineral deposits. However, detailed knowledge-based geological exploration and interpretations generally involve significant costs, time, human resources. In this study, an ensemble machine learning approach was tested using geoscience datasets to map Cu-Au Pb-Zn in the Cobar Basin, NSW, Australia. The input (magn...