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Title2016 unmanned aerial vehicle study at Mer Bleue, Ontario
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LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorLeblanc, S GORCID logo; White, H PORCID logo
SourceGeomatics Canada, Open File 58, 2020, 27 pages, https://doi.org/10.4095/326066 Open Access logo Open Access
Image
Year2020
PublisherNatural Resources Canada
Documentopen file
Lang.English
Mediaon-line; digital
RelatedThis publication is accompanied by Off-the-shelf unmanned aerial vehicles for 3D vegetation mapping
File formatpdf
ProvinceOntario
NTS31G/05
AreaMer Bleue; Ottawa
Lat/Long WENS -76.0000 -75.5000 45.5000 45.2500
Subjectsgeophysics; Nature and Environment; remote sensing; vegetation; wetlands; bogs; mapping techniques; photogrammetric techniques; photography; in-field instrumentation; 3-D mapping; unmanned aerial vehicles; drones; forests; standards; digital surface models; point clouds; Structure from Motion (SfM); video; image resolution; image overlap; data acquisition; image processing; global positioning systems; orthomosaics
Illustrationsphotographs; flow diagrams; location maps; 3-D images; tables; sketch maps; profiles
ProgramRemote Sensing Science, Methodology
Released2020 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 ID326066

 
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