Exploration information systems–A proposal for the future use of GIS in mineral exploration targeting
The advent of modern data collection and storage technologies has brought about a huge
increase in data volumes with both traditional and machine learning tools struggling to …
increase in data volumes with both traditional and machine learning tools struggling to …
Support vector machine and artificial neural network modelling of orogenic gold prospectivity map** in the Swayze greenstone belt, Ontario, Canada
Exploration for new mineral deposits has become increasingly difficult as new discoveries
are being found under progressively deeper cover. To better understand and predict …
are being found under progressively deeper cover. To better understand and predict …
Data analysis methods for prospectivity modelling as applied to mineral exploration targeting: State-of-the-art and outlook
Mineral exploration targeting is a highly complex decision-making task. Two key risk factors,
the quality of exploration data and robustness of the underlying conceptual targeting model …
the quality of exploration data and robustness of the underlying conceptual targeting model …
Translation of the function of hydrothermal mineralization-related focused fluid flux into a mappable exploration criterion for mineral exploration targeting
Formation of hydrothermal mineralization is related to the late stages of, or immediate
following, orogenic compressional regimes that have been superimposed on arc …
following, orogenic compressional regimes that have been superimposed on arc …
Regional prediction of groundwater potential map** in a multifaceted geology terrain using GIS-based Dempster–Shafer model
A prediction at a regional scale of groundwater productivity potential map** in an area is
subjected to uncertainties that must be efficiently managed for enhancing decision making …
subjected to uncertainties that must be efficiently managed for enhancing decision making …
Introduction to the Special Issue: GIS-based mineral potential modelling and geological data analyses for mineral exploration
Introduction to the Special Issue: GIS-based mineral potential modelling and geological
data analyses for mineral exploration - ScienceDirect Skip to main contentSkip to article …
data analyses for mineral exploration - ScienceDirect Skip to main contentSkip to article …
Application of remote sensing data in gold exploration: targeting hydrothermal alteration using Landsat 8 imagery in northern Portugal
Map** hydrothermal alteration minerals and structural lineaments using Landsat 8
multispectral imagery provides valuable information for mineral exploration. In northern …
multispectral imagery provides valuable information for mineral exploration. In northern …
Evaluation of uncertainty in mineral prospectivity map** due to missing evidence: a case study with skarn-type Fe deposits in Southwestern Fujian Province, China
In this paper, the southwestern Fujian metallogenic belt, one of the important Fe polymetallic
belts in southern China, was chosen as a case study area to evaluate the uncertainty due to …
belts in southern China, was chosen as a case study area to evaluate the uncertainty due to …
[HTML][HTML] Mitigating uncertainties in mineral exploration targeting: Majority voting and confidence index approaches in the context of an exploration information system …
Various mineral prospectivity modelling (MPM) approaches are available for targeting
mineral deposits, each method capable of predicting areas of high prospectivity. Given the …
mineral deposits, each method capable of predicting areas of high prospectivity. Given the …
[HTML][HTML] Metallogenic prediction based on geological-model driven and data-driven multisource information fusion: A case study of gold deposits in **ong'ershan area …
M Fan, K **ao, L Sun, Y Xu - Ore Geology Reviews, 2023 - Elsevier
The traditional metallogenic prediction based on the geological model has been extensively
used in prospecting, and the emerging machine learning method has also been successfully …
used in prospecting, and the emerging machine learning method has also been successfully …