| Title | 2016 unmanned aerial vehicle study at Mer Bleue, Ontario |
| Download | Downloads |
| |
| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Leblanc, S G ;
White, H P |
| Source | Geomatics Canada, Open File 58, 2020, 27 pages, https://doi.org/10.4095/326066  Open Access |
| Image |  |
| Year | 2020 |
| Publisher | Natural Resources Canada |
| Document | open file |
| Lang. | English |
| Media | on-line; digital |
| Related | This publication is accompanied by Off-the-shelf unmanned
aerial vehicles for 3D vegetation mapping |
| File format | pdf |
| Province | Ontario |
| NTS | 31G/05 |
| Area | Mer Bleue; Ottawa |
| Lat/Long WENS | -76.0000 -75.5000 45.5000 45.2500 |
| Subjects | geophysics; Nature and Environment; remote sensing; vegetation; wetlands; bogs; mapping techniques; photogrammetric techniques; photography; in-field instrumentation; unmanned aerial vehicles; drones;
Forests; Standards; Global positioning systems |
| Illustrations | photographs; flow diagrams; location maps; 3-D images; tables; sketch maps; profiles |
| Program | Remote Sensing Science |
| Released | 2020 05 12 |
| Summary | (Plain Language Summary, not published)
CCMEO scientists tested the mapping capability of a small DJI Phantom 3 Professional drone/UAV at the Mer Bleue wetland in Ottawa. We flew the Phantom 3
on 17 dates from April to December 2016 and a larger drone was also flown on May 12, 2016. We showed that the small drone has large potential for mapping elevation and vegetation structure once references points are used to improve the drone GPS
precision. |
| GEOSCAN ID | 326066 |
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