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Research Output Details
| Melville, B and Lucieer, A and Aryal, J, “Object-based random forest classification of Landsat ETM+ and WorldView-2 satellite imagery for mapping lowland native grassland communities in Tasmania, Australia”, International Journal of Applied Earth Observation and Geoinformation, 66 pp. 46-55. ISSN 1569-8432 (2018) [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 Management |
| Research Objective Group | Terrestrial systems and management |
| Research Objective Field | Assessment and management of terrestrial ecosystems |
| Visit Item on eCite | http://ecite.utas.edu.au/124563 |
| Digital Object Identifier | doi:10.1016/j.jag.2017.11.006 |
| 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 | 41 |