Spatial data on different scales in GEM allows for quantification of geomorphological changes following extreme events
Westergaard-Nielsen, Andreas (University of Copenhagen. Department of Geosciences and Natural Resource Management)
Lund, Magnus (Aarhus University. Department of Bioscience)
Abermann, Jakob (Aarhus University. Department of Bioscience)
Schmidt, Niels Martin (Aarhus University. Department of Bioscience)
Skov, Kirstine (University of Copenhagen. Department of Geosciences and Natural Resource Management)
Cristóbal, Jordi (University of Alaska Fairbanks)
Sigsgaard, Charlotte (University of Copenhagen. Department of Geosciences and Natural Resource Management)
Jackowicz-Korczynski, Marcin (Aarhus University. Department of Biosciencea)

Date:	2018
Abstract:	The recent advances in both the usability and sensors in drone technology allow for an increasing integration of such data in the GEM programme. The ability to combine spatially distributed snapshots in time from drones with existing long time series of timelapse images from fixed cameras constitutes a highly flexible source of spatial monitoring data. The general character of this data can support research activities across the GEM sub-programmes, and allows for capturing the timing and magnitude of e. g. extreme events. Here we demonstrate the use of drones to quantify riverbed erosion resulting from an extreme glacial lake outburst and rain events.
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Language:	Anglès
Document:	Capítol de llibre ; divulgació ; Versió publicada
Published in:	Greenland Ecosystem Monitoring Annual Report Cards 2017, 2018, p. 32-33, ISBN 978-87-93129-50-4

2 p, 3.5 MB

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