| Title | AI-enabled remote sensing data interpretation for geothermal resource evaluation as applied to the Mount Meager geothermal prospective area |
| Download | Downloads |
| |
| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Chen, Z ; Grasby,
S E; Deblonde, C; Liu, X |
| Source | Geological Survey of Canada, Open File 8882, 2022, 1 sheet, https://doi.org/10.4095/330008  Open Access |
| Image |  |
| Year | 2022 |
| Publisher | Natural Resources Canada |
| Document | open file |
| Lang. | English |
| Media | on-line; digital |
| File format | readme
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| File format | pdf |
| Province | British Columbia |
| NTS | 92J/05; 92J/06; 92J/11; 92J/12; 92J/13; 92J/14 |
| Area | Mount Meager; Lillooet River; Meager Creek |
| Lat/Long WENS | -123.7442 -123.2817 50.7517 50.4839 |
| Subjects | geophysics; hydrogeology; regional geology; structural geology; surficial geology/geomorphology; Science and Technology; Nature and Environment; geothermal energy; geothermal resources; geothermal
potential; remote sensing; satellite imagery; LANDSAT; volcanology; volcanic features; volcanoes; volcanism; magmatism; intrusions; thermal analyses; heat flow; ground temperatures; anomalies; bedrock geology; structural features; fractures; faults;
groundwater; groundwater circulation; flow regimes; flow structures; structural analyses; lineaments; deformation; slope failures; models; field work; field relations; structural analyses; structural trends; Garibaldi Volcanic Belt; Mount Meager
Volcanic Complex; Landsat 8; Artificial intelligence; Methodology; Phanerozoic; Cenozoic; Quaternary; Tertiary |
| Illustrations | location maps; tables; flow diagrams; satellite images; plots |
| Program | Energy Geoscience
Geothermal Assessments |
| Released | 2022 12 06 |
| Abstract | The objective of this study is to search for features and indicators from the identified geothermal resource sweet spot in the south Mount Meager area that are applicable to other volcanic complexes in
the Garibaldi Volcanic Belt. A Landsat 8 multi-spectral band dataset, for a total of 57 images ranging from visible through infrared to thermal infrared frequency channels and covering different years and seasons, were selected. Specific features
that are indicative of high geothermal heat flux, fractured permeable zones, and groundwater circulation, the three key elements in exploring for geothermal resource, were extracted. The thermal infrared images from different seasons show occurrence
of high temperature anomalies and their association with volcanic and intrusive bodies, and reveal the variation in location and intensity of the anomalies with time over four seasons, allowing inference of specific heat transform mechanisms.
Automatically extracted linear features using AI/ML algorithms developed for computer vision from various frequency bands show various linear segment groups that are likely surface expression associated with local volcanic activities, regional
deformation and slope failure. In conjunction with regional structural models and field observations, the anomalies and features from remotely sensed images were interpreted to provide new insights for improving our understanding of the Mount Meager
geothermal system and its characteristics. After validation, the methods developed and indicators identified in this study can be applied to other volcanic complexes in the Garibaldi, or other volcanic belts for geothermal resource reconnaissance.
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| Summary | (Plain Language Summary, not published)
A Landsat 8 multi-spectral band dataset, for a total of 57 images ranging from visible through infrared to thermal infrared frequency channels and
covering different years and seasons, were collected. Features that could be indicative of high geothermal heat flux, fractured permeable zones, and groundwater circulation were extracted using AI/ML algorithms. Based on regional structural models
and field observations, the anomalies and features from remotely sensed images were interpreted to provide new insights for improving our understanding of the Mount Meager geothermal system and its characteristics. |
| GEOSCAN ID | 330008 |
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