| Title | Off-the-shelf unmanned aerial vehicles for 3D vegetation mapping |
| Download | Downloads |
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| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Leblanc, S G |
| Source | Geomatics Canada, Open File 57, 2020, 28 pages, https://doi.org/10.4095/326065  Open Access |
| Image |  |
| Year | 2020 |
| Publisher | Natural Resources Canada |
| Document | open file |
| Lang. | English |
| Media | on-line; digital |
| Related | This publication is accompanied by 2016 unmanned aerial
vehicle study at Mer Bleue, Ontario |
| File format | pdf |
| Subjects | geophysics; Nature and Environment; remote sensing; vegetation; mapping techniques; photogrammetric techniques; photography; in-field instrumentation; unmanned aerial vehicles; drones; Standards; Global
positioning systems |
| Illustrations | photographs; schematic representations; graphs; 3-D images; flow diagrams; satellite images; screen captures; 3-D models; tables |
| Program | Canada Centre for Remote Sensing Remote Sensing Science Program - Management |
| Released | 2020 05 12 |
| Summary | (Plain Language Summary, not published)
This report shows in details the techniques and tricks learned from using a small UAV (DJI Phantom 3 Pro) for mapping vegetation, snow and elevations. It
has many suggested steps that can help other scientists making the right decision in their use of such new technology. |
| GEOSCAN ID | 326065 |
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