Ground control point acquisition for Acadia Forest, New Brunswick, during winter 2016, in support of Canada Centre for Mapping and Earth Observation snow depth from unmanned aerial vehicle activities ...: M103-3/27-2016E-PDF

"Canadians live with snow cover for a varying period of time during the year. Managers, engineers and researchers require up-to-date snow information such as coverage, depth and water content. These elements can be quite difficult to accurately measure. A stepwise approach is recommend, focusing on snow surface, and monitoring of snow melt. For the last few years, Unmanned Aerial Vehicles (UAV-drone) can be used for multi-temporal aerial surveys of snow cover. To generate accurate geographically located UAV-derived products, a high precision GPS survey of the field site is required prior to UAV data collection. Precise geographically known reference points (ground control points) are marked in the field and located in the UAV imagery during geo-correction processing. A case study was completed in a test site located in the Acadia forest near Fredericton, NB. This document describes in detail the method and results of the GPS survey used for the geographic rectification of numerous photographs acquired by the UAV within the scope of this project”--Summary provided by publisher.

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Publication information
Department/Agency Canada. Natural Resources Canada.
Geomatics Canada.
Title Ground control point acquisition for Acadia Forest, New Brunswick, during winter 2016, in support of Canada Centre for Mapping and Earth Observation snow depth from unmanned aerial vehicle activities / C. Prévost, R. Fernandes, F. Canisius.
Series title Open file ; 27
Publication type Series - View Master Record
Language [English]
Format Electronic
Electronic document
Note(s) Includes bibliographical references.
Publishing information [Ottawa] : Natural Resources Canada, 2016.
Author / Contributor Prévost, Christian, 1952-
Canisius, Francis.
Fernandes, Richard Anthony, 1967-
Description 42 p. : col. ill., col. maps.
Catalogue number
  • M103-3/27-2016E-PDF
Departmental catalogue number 299101
Subject terms Snow
Geographic data
Global positioning systems
Remote sensing
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