Geo-mapping Frontiers: compilation and interpretation of geologic structures north of 60°, Canada

Behnia, Pouran; Harris, James B.; Harrison, Craig S.; St-Onge, M R; Okulitch, A V; Irwin, Donald C.; Gordey, S P

doi:10.4095/292917

Cited by 4 publications

(12 citation statements)

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“…The interpreted structures and the mapped and interpreted faults used in the study were published in GSC Open File 7649 (Behnia et al 2013). This comprehensive structural dataset includes compiled and newly interpreted form lines, faults, dykes, fractures, and lineaments for CanadaÕs North.…”

Section: Datamentioning

confidence: 99%

“…The lithological data were published in the GSC Open File 7649 in map 2159A (Behnia et al 2013). The lithology polygons were interpreted using data from GSC Open File 4236 (Paul et al 2002).…”

Section: Datamentioning

confidence: 99%

“…This dataset was used to create a lake mask, as described below. The known Au occurrences were collected and archived by the Canada-Nunavut Geoscience Office and published in the GSC Open File 7649 (Behnia et al 2013). …”

Section: Datamentioning

confidence: 99%

“…The topographic data were published in the GSC Open File 7649 in map 2159A (Behnia et al 2013). This dataset was used to create a lake mask, as described below.…”

Section: Datamentioning

confidence: 99%

“…The interpreted structures dataset includes linear features comprising dykes, faults, fold axis, form lines, lineaments, and shear zones interpreted from Landsat and airborne magnetic survey data derived from Behnia et al (2013). The form lines and faults were selected from this dataset to create form line and fault datasets.…”

Section: Interpreted Structures and Faults Datamentioning

confidence: 99%

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Comparison of the Data-Driven Random Forests Model and a Knowledge-Driven Method for Mineral Prospectivity Mapping: A Case Study for Gold Deposits Around the Huritz Group and Nueltin Suite, Nunavut, Canada

2015

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This paper outlines the process taken to create two separate gold prospectivity maps. The first was created using a combination of several knowledge-driven (KD) techniques. The second was created using a relatively new classification method called random forests (RF). The purpose of this study was to examine the results of the RF technique and to compare the results to that of the KD model. The datasets used for the creation of evidence maps for the gold prospectivity mapping include a comprehensive lake sediment geochemical dataset, interpreted geological structures (form lines), mapped and interpreted faults, lithology, topographic features (lakes), and known Au occurrences. The RF method performed well in that the gold prospectivity map created was a better predictor of the known Au occurrences than the KD gold prospectivity map. This was further validated by a fivefold repetition using a subset of the input training areas. Several advantages to the use of RF include (1) the ability to take both continuous and/or categorical data as variable inputs, (2) an internal, unbiased estimation of the mapping error (out-of-bag error) removing the need for a cross-validation of the final outputs to determine accuracy, and (3) the estimation of importance of each input variable. Efficiency of prediction curves illustrates that the RF method performs better than the KD method. The success rate is significantly higher for the RF method than for the KD method.

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Section: Datamentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

“…The topographic data were published in the GSC Open File 7649 in map 2159A (Behnia et al 2013). This dataset was used to create a lake mask, as described below.…”

Section: Datamentioning

confidence: 99%

Section: Interpreted Structures and Faults Datamentioning

confidence: 99%

See 3 more Smart Citations

Comparison of the Data-Driven Random Forests Model and a Knowledge-Driven Method for Mineral Prospectivity Mapping: A Case Study for Gold Deposits Around the Huritz Group and Nueltin Suite, Nunavut, Canada

2015

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Predictive Modeling of Canadian Carbonatite-Hosted REE +/− Nb Deposits

Parsa,

Lawley,

Cumani

et al. 2024

Nat Resour Res

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Carbonatites are the primary geological sources for rare earth elements (REEs) and niobium (Nb). This study applies machine learning techniques to generate national-scale prospectivity models and support mineral exploration targeting of Canadian carbonatite-hosted REE +/− Nb deposits. Extreme target feature label imbalance, diverse geological settings hosting these deposits throughout Canada, selecting negative labels, and issues regarding the interpretability of some machine learning models are major challenges impeding data-driven prospectivity modeling of carbonatite-hosted REE +/− Nb deposits. A multi-stage framework, exploiting global hierarchical tessellation model systems, data-space similarity measures, ensemble modeling, and Shapley additive explanations was coupled with convolutional neural networks (CNN) and random forest to meet the objectives of this work. A risk–return analysis was further implemented to assist with model interpretation and visualization. Multiple models were compared in terms of their predictive ability and their capability of reducing the search space for mineral exploration. The best-performing model, derived using a CNN that incorporates public geoscience datasets, exhibits an area under the curve for receiver operating characteristics plot of 0.96 for the testing labels, reducing the search area by 80%, while predicting all known carbonatite-hosted REE +/− Nb occurrences. The framework used in our study allows for an explicit definition of input vectors and provides a clear interpretation of outcomes generated by prospectivity models.

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Submarine geomorphology of the northeastern Baffin Island fiords and cross-shelf troughs

Brouard

Lajeunesse

2019

Journal of Maps

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This paper presents a series of 50 geomorphological maps of the seabed of northeastern Baffin Island fiords and cross-shelf troughs, in eastern Arctic Canada. The mapping was produced using swath bathymetry imagery from multiple bathymetry datasets. A total of 24 types of landform were systematically mapped (>55,000 landforms) and reflect processes linked to subglacial, ice-marginal or paraglacial to postglacial environments. The landforms record the transition of the seabed from being covered by a marineterminating ice sheet to the establishment of postglacial conditions. The landform assemblages allow the distinction of ice-flows orientation and ice-stream pathways along fiords and cross-shelf troughs. The multiple moraines and grounding-zone wedges indicate that the ice margin stabilized during retreat and that the overall deglaciation occurred by steps. These maps provide a framework for future investigations in northeastern Baffin Island fiords and shelf and can also provide a template for future seabed geomorphological studies in Arctic Canada. ARTICLE HISTORY

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Geo-mapping Frontiers: compilation and interpretation of geologic structures north of 60°, Canada

Cited by 4 publications

References 0 publications

Comparison of the Data-Driven Random Forests Model and a Knowledge-Driven Method for Mineral Prospectivity Mapping: A Case Study for Gold Deposits Around the Huritz Group and Nueltin Suite, Nunavut, Canada

Comparison of the Data-Driven Random Forests Model and a Knowledge-Driven Method for Mineral Prospectivity Mapping: A Case Study for Gold Deposits Around the Huritz Group and Nueltin Suite, Nunavut, Canada

Predictive Modeling of Canadian Carbonatite-Hosted REE +/− Nb Deposits

Submarine geomorphology of the northeastern Baffin Island fiords and cross-shelf troughs

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