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Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Knud Rasmussen Glacier Status Analysis Based on Historical Data and Moving Detection Using RPAS

Version 1 : Received: 30 November 2020 / Approved: 1 December 2020 / Online: 1 December 2020 (09:32:40 CET)

A peer-reviewed article of this Preprint also exists.

Pavelka, K.; Šedina, J.; Pavelka, K., Jr. Knud Rasmussen Glacier Status Analysis Based on Historical Data and Moving Detection Using RPAS. Appl. Sci. 2021, 11, 754. Pavelka, K.; Šedina, J.; Pavelka, K., Jr. Knud Rasmussen Glacier Status Analysis Based on Historical Data and Moving Detection Using RPAS. Appl. Sci. 2021, 11, 754.

Abstract

This article discusses an international scientific expedition to Greenland that researched geography, geodesy, botany, and glaciology of the area. The results here focus on the geodetic and glaciological results obtained with the eBee drone in the eastern part of Greenland at the front of the Knud Rasmussen glacier. From two overflights nearby the glacier front, it was possible to obtain the speed of the glacier flow and the distribution of velocities in the glacier stream. The results correlate with other measurement methods and this technology has been shown as feasible. Of course, there are more accurate and long-term options or devices for monitoring the flow of glaciers. In this case of short-term visits to the site, the possibility of using a drone is interesting and the results show not only the flow speed of the glacier, but also the shape and structure from a height of up to 200m. The second part of the paper focuses on the analysis of modern satellite images of the Knud Rasmussen glacier from Google Earth (Landsat series 1984-2016) and a comparison with historical aerial images from 1932-1933. Experimentally, historical images were processed photogrammetrically into a 3D model.

Keywords

Greenland; photogrammetry; Knud Rasmussen Glacier; RPAS; glaciology; geomatics

Subject

Environmental and Earth Sciences, Atmospheric Science and Meteorology

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