| Camarretta, N and Harrison, PA and Lucieer, A and Potts, BM and Davidson, N and Hunt, M, “From drones to phenotype: Using UAV-LiDAR to detect species and provenance variation in tree productivity and structure”, Remote Sensing, 12 (19) Article 3184. ISSN 2072-4292 (2020) [Refereed Article] |
| Data Type | Value |
|---|
| Type of Research | Applied Research |
| Research Division | Agricultural, Veterinary and Food Sciences |
| Research Group | Forestry sciences |
| Research Field | Tree improvement (incl. selection and breeding) |
| Research Objective Division | Environmental Management |
| Research Objective Group | Terrestrial systems and management |
| Research Objective Field | Rehabilitation or conservation of terrestrial environments |
| Visit Item on eCite | http://ecite.utas.edu.au/145969 |
| Digital Object Identifier | doi:10.3390/rs12193184 |
| 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 | 18 |
