Knud Rasmussen Glacier Status Analysis Based on Historical Data and Moving Detection Using RPAS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F21%3A00346525" target="_blank" >RIV/68407700:21110/21:00346525 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.3390/app11020754" target="_blank" >https://doi.org/10.3390/app11020754</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/app11020754" target="_blank" >10.3390/app11020754</a>
Alternative languages
Result language
angličtina
Original language name
Knud Rasmussen Glacier Status Analysis Based on Historical Data and Moving Detection Using RPAS
Original language description
This article discusses partial results of an international scientific expedition to Greenland that researched the geography, geodesy, botany, and glaciology of the area. The results here focus on the photogrammetrical results obtained with the eBee drone in the eastern part of Greenland at the front of the Knud Rasmussen Glacier and the use of archive image data for monitoring the condition of this glacier. The resulting speed from the drone data reached in the middle part of the glacier, was approximately 12–15m per day. 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 Sentinel 2a, and a comparison with historical aerial images from 1932 to 1933. Historical images were processed photogrammetrically into a three-dimensional (3D) model. Finally, orthogonalized image data from three systems (drone photos, historical aerial photos, and satellite data) were compared in the ArcGIS software. This allows us to analyze glacier changes over time in the time span from 1932 to 2020, with the caveat that from 1933 to 1983 we did not have data at our disposal. The result shows that more significant changes in the area of this glacier occurred after 2011. The main aim of this article is to research the use of photogrammetric methods for monitoring the condition and parameters of glaciers based on non-traditional technology, such as drones or new processing of historical photos
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10510 - Climatic research
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Sciences
ISSN
2076-3417
e-ISSN
2076-3417
Volume of the periodical
11
Issue of the periodical within the volume
2
Country of publishing house
CH - SWITZERLAND
Number of pages
19
Pages from-to
1-19
UT code for WoS article
000610916800001
EID of the result in the Scopus database
2-s2.0-85099972190