| Ghorbanzadeh, O and Valizadeh Kamran, K and Blaschke, T and Aryal, J and Naboureh, A and Einali, J and Bian, J, “Spatial prediction of wildfire susceptibility using field survey GPS data and machine learning approaches”, Fire, 2 (3) Article 43. ISSN 2571-6255 (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/134258 |
| Digital Object Identifier | doi:10.3390/fire2030043 |
| 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 | 71 |
| Number of Downloads | 19 |
