| Ghorbanzadeh, O and Blaschke, T and Gholamnia, K and Meena, SR and Tiede, D and Aryal, J, “Evaluation of different machine learning methods and deep-learning convolutional neural networks for landslide detection”, Remote Sensing, 11 (2) Article 196. ISSN 2072-4292 (2019) [Refereed Article] |
| Data Type | Value |
|---|
| Type of Research | Applied Research |
| Research Division | Engineering |
| Research Group | Geomatic engineering |
| Research Field | Photogrammetry and remote sensing |
| Research Objective Division | Environmental Policy, Climate Change and Natural Hazards |
| Research Objective Group | Natural hazards |
| Research Objective Field | Natural hazards not elsewhere classified |
| Visit Item on eCite | http://ecite.utas.edu.au/130724 |
| Digital Object Identifier | doi:10.3390/rs11020196 |
| Scopus Source URL | View the full record on Scopus |
| Scopus Citing URL | View the list of citing articles on Scopus |
| Web of Science® Source URL | View the full record on Web of Science® |
| Web of Science® Citing URL | View the list of citing articles on Web of Science® |
| Web of Science® Related URL | View the list of related articles on Web of Science® |
| Number of Times Cited | 380 |
| Number of Downloads | 1152 |
