| Title | Assessment of UAV-based photogrammetry for snow-depth mapping: data collection and processing |
| Download | Downloads |
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| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Fernandes, R A ;
Canisius, F; Leblanc, S G; Maloley, M; Oakes, S; Prévost, C;
Schmidt, C |
| Source | Geomatics Canada, Open File 32, 2017, 50 pages, https://doi.org/10.4095/300553  Open Access |
| Year | 2017 |
| Publisher | Natural Resources Canada |
| Document | open file |
| Lang. | English |
| Media | on-line; digital |
| File format | pdf |
| Subjects | geophysics; snow; flood plains; mapping techniques; remote sensing; photogrammetric techniques; models; planning; meteorology; vegetation; field methods; unmanned aerial vehicles; Data processing; Land
cover |
| Illustrations | location maps; aerial photographs; bar graphs; photographs; satellite images; schematic representations; tables; graphs; digital images; 3-D images |
| Program | Remote Sensing Science |
| Released | 2017 05 17 |
| Summary | (Plain Language Summary, not published)
Rapid snow melt is a major cause of flooding in Southern Canada. Often, the snow melt occurs in upstream areas that can be remote, forested or with
rough terrain where there is little or no in-situ monitoring. Here, a method for mapping the snow depth over time using unmanned aerial vehicles is tested at two study areas during the winter of 2016 - Acadia Forest near Fredericton and Gatineau
Park near Ottawa. The study sites, materials, methods and data collected are documented. This dataset is suitable for assessing the use of UAV systems for snow depth mapping. |
| GEOSCAN ID | 300553 |
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