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UndercoverEisAgenten - Monitoring Permafrost Thaw in the Arctic using Local Knowledge and UAVs

Mueller, Marlin M. und Thiel, Christian und Kaiser, Soraya und Lenz, Josefine und Langer, Moritz und Lantuit, Hugues und Marx, Sabrina und Fritz, Oliver und Zipf, Alexader (2023) UndercoverEisAgenten - Monitoring Permafrost Thaw in the Arctic using Local Knowledge and UAVs. European Geosciences Union (EGU) General Assembly, 2023-04-24 - 2023-04-28, Wien, Österreich.

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Kurzfassung

The Arctic is experiencing severe changes to its landscapes due to the thawing of permafrost influenced by the twofold increase of temperature across the Arctic due to global warming compared to the global average. This process, which affects the livelihoods of indigenous people, is also associated with the further release of greenhouse gases and also connected to ecological impacts on the arctic flora and fauna. These small-scale changes and disturbances to the land surface caused by permafrost thaw have been inadequately documented. To better understand and monitor land surface changes, the project "UndercoverEisAgenten" is using a combination of local knowledge, satellite remote sensing, and data from unmanned aerial vehicles (UAVs) to study permafrost thaw impacts in Northwest Canada. The high-resolution UAV data will serve as a baseline for further analysis of optical and radar remote sensing time series data. The project aims to achieve two main goals: 1) to demonstrate the value of using unmanned aerial vehicle (UAV) data in remote regions of the global north, and 2) to involve young citizen scientists from schools in Canada and Germany in the process. By involving students in the project, the project aims to not only expand the use of remote sensing in these regions, but also provides educational opportunities for the participating students. By using UAVs and satellite imagery, the project aims to develop a comprehensive archive of observable surface features that indicate the degree of permafrost degradation. This will be accomplished through the use of automatic image enhancement techniques, as well as classical image processing approaches and machine learning-based classification methods. The data is being prepared to be shared and analyzed through a web-based crowd mapping application. The project aims to involve the students in independently acquiring data and developing their own scientific questions through the use of this application. In September 2022, a first expedition was conducted in the Northwest Territories, Canada and UAV data was collected with the assistance of students from Moose Kerr School in Aklavik. The data consists of approximately 30,000 individual photos taken over an area of around 13 km². The expedition also provided an opportunity for the students to learn about the basics of data collection and the goals of the collaborative permafrost survey, which included the incorporation of local knowledge to address the questions of the local community. By involving school students in the data acquisition, classification and evaluation process, the project also seeks to transfer knowledge and raise awareness about global warming, permafrost, and related regional and global challenges. Additionally, a connection through the shared research experience between students in Germany and Canada is established to enable the exchange of knowledge. The resulting scientific data will provide new insights into biophysical processes in Arctic regions and contribute to a better understanding of the state and change of permafrost in the Arctic. This project is funded by the German Federal Ministry of Education and Research and was initiated in 2021.

elib-URL des Eintrags:https://elib.dlr.de/194963/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:UndercoverEisAgenten - Monitoring Permafrost Thaw in the Arctic using Local Knowledge and UAVs
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Mueller, Marlin M.marlin.mueller (at) dlr.dehttps://orcid.org/0000-0001-7267-3886NICHT SPEZIFIZIERT
Thiel, ChristianChristian.Thiel (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Kaiser, SorayaAlfred-Wegener-Institut, PotsdamNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Lenz, JosefineAlfred-Wegener-Institut, Potsdamhttps://orcid.org/0000-0002-4050-3169NICHT SPEZIFIZIERT
Langer, MoritzAlfred-Wegener-Institut, Potsdamhttps://orcid.org/0000-0002-2704-3655NICHT SPEZIFIZIERT
Lantuit, HuguesAlfred-Wegener-Institut, PotsdamNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Marx, SabrinaHeiGIT, HeidelbergNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Fritz, OliverHeiGIT, HeidelbergNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Zipf, AlexaderHeiGIT, HeidelbergNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:27 April 2023
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:Permafrost, UAVs, Cryosphere, Climate Change, Crowdmapping
Veranstaltungstitel:European Geosciences Union (EGU) General Assembly
Veranstaltungsort:Wien, Österreich
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:24 April 2023
Veranstaltungsende:28 April 2023
Veranstalter :European Geosciences Union
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Effizientes Luftfahrzeug
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L EV - Effizientes Luftfahrzeug
DLR - Teilgebiet (Projekt, Vorhaben):L - Digitale Technologien
Standort: Jena
Institute & Einrichtungen:Institut für Datenwissenschaften
Hinterlegt von: Müller, Marlin
Hinterlegt am:04 Mai 2023 12:00
Letzte Änderung:24 Apr 2024 20:55

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