| Lay, SU and Pradhan, B and Yusoff, ZBM and Abdallah, AFB and Aryal, J and Park, H-J, “Data mining and statistical approaches in debris-flow susceptibility modelling using airborne LiDAR data ”, Sensors, 19 (16) Article 3451. ISSN 1424-8220 (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/134567 |
| Digital Object Identifier | doi:10.3390/s19163451 |
| 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 | 22 |
| Number of Downloads | 20 |
