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| 02332cam 2200349zi 4500 |
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001 | 9.893906 |
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003 | CaOODSP |
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005 | 20221107173601 |
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006 | m o d f |
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007 | cr mn||||||||| |
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008 | 201123t20202020oncab ob f000 0 eng d |
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040 | |aCaOODSP|beng|erda|cCaOODSP |
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043 | |an-cn-nt |
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086 | 1 |aM103-3/54-2020E-PDF |
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100 | 1 |aFraser, Robert H., |eauthor. |
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245 | 10|aTesting the potential of UAV photogrammetry for deriving bare earth models in Arctic shrublands / |cR.H. Fraser, T.C. Lantz, M. McFarlane-Winchester, J. van der Sluijs, and C. Prévost. |
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264 | 1|a[Ottawa] : |bGeomatics Canada, |c2020. |
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264 | 4|c©2020 |
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300 | |a1 online resource (20 pages) : |billustrations (some colour), colour map. |
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336 | |atext|btxt|2rdacontent |
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337 | |acomputer|bc|2rdamedia |
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338 | |aonline resource|bcr|2rdacarrier |
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490 | 1 |aOpen file ; |v54 |
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504 | |aIncludes bibliographical references (pages 18-20). |
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520 | |a"We conducted an experiment to test the potential of UAV-based surveying and photogrammetry to delineate a "bare earth" surface or digital terrain model (DTM) in dense Arctic shrublands. High overlap (86%/80%) UAV photo surveys captured at two resolutions (5.5 mm and 22 mm) were processed into dense point clouds using a conventional structure from motion workflow. DTMs were derived from the point clouds by triangulating the lowest points within 1 meter windows and resampling to a 1 cm raster grid. Mean absolute vertical error of the DTM, assessed using 90 ground elevations surveyed in the field, was 5.4 cm for the 5.5 mm survey and 8.3 cm for the 22 mm survey. Larger errors for the coarser 22 mm survey were due to poorer point cloud modeling of ground surface features within the gaps of denser shrub canopy"--Summary, page 5. |
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650 | 0|aDrone aircraft in remote sensing|zNorthwest Territories. |
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650 | 0|aDigital elevation models|zNorthwest Territories. |
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650 | 6|aTélédétection par drone|zTerritoires du Nord-Ouest. |
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650 | 6|aModèles numériques de terrain|zTerritoires du Nord-Ouest. |
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710 | 2 |aGeomatics Canada, |eissuing body. |
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830 | #0|aOpen file (Geomatics Canada)|v54.|w(CaOODSP)9.821474 |
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856 | 40|qPDF|s41.15 MB|uhttps://publications.gc.ca/collections/collection_2020/rncan-nrcan/m103-3/M103-3-54-2020-eng.pdf |
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