000 01771cam  2200301za 4500
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008170526s2017    oncabd  ob   f000 0 eng d
040 |aCaOODSP|beng
043 |an-cn---|an-cn-nk|an-cn-qu
0861 |aM103-3/32-2017E-PDF
24500|aAssessment of UAV-based photogrammetry for snow-depth mapping |h[electronic resource] : |bdata collection and processing / |cR.A. Fernandes ... [et al.].
260 |a[Ottawa] : |bNatural Resources Canada, |c2017.
300 |a50 p. : |bcol. charts, ill. (mostly col.), col. maps.
4901 |aOpen file ; |v32
504 |aIncludes bibliographical references.
520 |a"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”--Summary provided by publisher.
69207|2gccst|aSnow
69207|2gccst|aGeographic data
69207|2gccst|aAerial photography
69207|2gccst|aRemote sensing
7001 |aFernandes, Richard Anthony, |d1967-
7101 |aCanada. |bNatural Resources Canada.
7102 |aGeomatics Canada.
830#0|aOpen file (Geomatics Canada)|v32.|w(CaOODSP)9.821474
85640|qPDF|s3.19 MB|uhttps://publications.gc.ca/collections/collection_2017/rncan-nrcan/M103-3/M103-3-32-2017-eng.pdf