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The potential of Citizen Science for mapping landscape change in Arctic permafrost regions

Fritz, Oliver and Marx, Sabrina and Herfort, Benjamin and Kaiser, Soraya and Langer, Moritz and Lenz, Josefine and Thiel, Christian and Zipf, Alexander (2022) The potential of Citizen Science for mapping landscape change in Arctic permafrost regions. AGIT – Journal für Angewandte Geoinformatik. Herbert Wichmann Verlag, VDE VERLAG GMBH, Berlin/Offenbach. ISSN 2364-9283.

Full text not available from this repository.

Abstract

Monitoring permafrost thaw in the Arctic is essential for assessing global climate change impact. Citizen science approaches can make a crucial contribution to this. In a case study using a micro-mapping methodology, visitors of an exhibition mapped polygonal soil patterns in satellite images of the Arctic. The evaluation of the collected data reveals that mapping such patterns poses a bigger challenge than more established task types, such as building detection. A simplification of the task using a binary detection approach increases the data quality of permafrost mapping. Citizen science shows great potential for permafrost research, although methods must be further tested.

Item URL in elib:https://elib.dlr.de/186743/
Document Type:Article
Title:The potential of Citizen Science for mapping landscape change in Arctic permafrost regions
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Fritz, OliverHeiGITUNSPECIFIED
Marx, SabrinaHeiGITUNSPECIFIED
Herfort, BenjaminHeiGITUNSPECIFIED
Kaiser, SorayaAWIUNSPECIFIED
Langer, MoritzAWIUNSPECIFIED
Lenz, JosefineAWIUNSPECIFIED
Thiel, ChristianChristian.Thiel (at) dlr.deUNSPECIFIED
Zipf, AlexanderHeiGITUNSPECIFIED
Date:2022
Journal or Publication Title:AGIT – Journal für Angewandte Geoinformatik
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:No
Publisher:Herbert Wichmann Verlag, VDE VERLAG GMBH, Berlin/Offenbach
ISSN:2364-9283
Status:Accepted
Keywords:permafrost, crowdsourcing, intrinsic quality assessment, mapping
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Exploration
DLR - Research area:Raumfahrt
DLR - Program:R EW - Space Exploration
DLR - Research theme (Project):R - QS-Project_04 Big-Data-Plattform
Location: Jena
Institutes and Institutions:Institute of Data Science > Data Acquisition and Mobilisation
Deposited By: Thiel, Christian
Deposited On:11 Aug 2022 09:10
Last Modified:11 Aug 2022 09:10

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