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| Title | Separating Signals in Elevation Data Improves Supervised Machine Learning Predictions for Hydrothermal Favorability |
| Author | Caraccioli, Pascal D.; Mordensky, Stanley P.; DeAngelo, Jacob; Burns, Erick R.; Lipor, John J. |
| Affiliation | U.S. Geological Survey; Portland State University; Cornell University |
| yes - members only! | |
| Volume Title | Using the Earth to Save the Earth |
| Journal | Geothermal Resources Council Transactions |
| Volume | 48 |
| Pages | 2217-2236 |
| Year | 2024 |
| Publisher | Geothermal Rising |
| Publication Place | Davis, California |
| Subjects | Exploration; Machine learning; Play fairway analysis |
| Keywords | Machine learning, Geothermal, Nevada, XGBoost, Play fairway analysis, Feature engineering, Geothermal favorability |
| Geographic Terms | Nevada |
| Document Type | Digital Collection |
| Language | English |
| ISSN/ISBN | ISSN: 0193-5933; ISBN: 934412-30-8 |
| GRC ID# | 1035032 |
| Permalink | https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1035032 |