Geographic object‐based image analysis (GEOBIA) of the distribution and characteristics of aeolian sand dunes in Arctic Sweden
Abstract Current climate change in the Arctic is unprecedented in the instrumental record, with profound consequences for the environment and landscape. In Arctic Sweden, aeolian sand dunes have been impacted by climatic changes since their initial formation after the retreat of the last glacial ice...
Published in: | Permafrost and Periglacial Processes |
---|---|
Main Authors: | , , |
Other Authors: | |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Wiley
2022
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1002/ppp.2169 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppp.2169 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ppp.2169 |
id |
crwiley:10.1002/ppp.2169 |
---|---|
record_format |
openpolar |
spelling |
crwiley:10.1002/ppp.2169 2024-10-06T13:45:49+00:00 Geographic object‐based image analysis (GEOBIA) of the distribution and characteristics of aeolian sand dunes in Arctic Sweden Stammler, Melanie Stevens, Thomas Hölbling, Daniel Göran Gustafssons Stiftelse för Naturvetenskaplig och Medicinsk Forskning 2022 http://dx.doi.org/10.1002/ppp.2169 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppp.2169 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ppp.2169 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Permafrost and Periglacial Processes volume 34, issue 1, page 22-36 ISSN 1045-6740 1099-1530 journal-article 2022 crwiley https://doi.org/10.1002/ppp.2169 2024-09-11T04:13:29Z Abstract Current climate change in the Arctic is unprecedented in the instrumental record, with profound consequences for the environment and landscape. In Arctic Sweden, aeolian sand dunes have been impacted by climatic changes since their initial formation after the retreat of the last glacial ice sheet. Dune type, location and orientation can therefore be used to explore past wind patterns and landscape destabilisation in this sensitive area. However, knowledge of the full spatial extent and characteristics of these dunes is limited by their inaccessibility and dense vegetation cover. Geographic object‐based image analysis (GEOBIA) permits the semi‐automatic creation of reproducible parameter‐based objects and can be an appropriate means to systematically and spatially map these dunes remotely. Here, a digital elevation model (DEM) and its derivatives, such as slope and curvature, were segmented in a GEOBIA context, enabling the identification and mapping of aeolian sand dunes in Arctic Sweden. Analysis of the GEOBIA‐derived and expert‐accepted polygons affirms the prevalence of parabolic dune type and reveals the coexistence of simple dunes with large coalesced systems. Furthermore, mapped dune orientations and relationships to other geomorphological features were used to explore past wind directions and to identify sediment sources as well as the reasons for sand availability. The results indicate that most dune systems in Arctic Sweden were initially supplied by glaciofluvial and fluvial disturbances of sandy esker systems. Topographic control of wind direction is the dominant influence on dune orientation. Further, our approach shows that analysing the GEOBIA‐derived dune objects in their geomorphological context paves the way for successfully investigating aeolian sand dune location, type and orientation in Arctic Sweden, thereby facilitating the understanding of post‐glacial landscape (in)stability and evolution in the area. Article in Journal/Newspaper Arctic Climate change Ice Sheet Permafrost and Periglacial Processes Wiley Online Library Arctic Permafrost and Periglacial Processes 34 1 22 36 |
institution |
Open Polar |
collection |
Wiley Online Library |
op_collection_id |
crwiley |
language |
English |
description |
Abstract Current climate change in the Arctic is unprecedented in the instrumental record, with profound consequences for the environment and landscape. In Arctic Sweden, aeolian sand dunes have been impacted by climatic changes since their initial formation after the retreat of the last glacial ice sheet. Dune type, location and orientation can therefore be used to explore past wind patterns and landscape destabilisation in this sensitive area. However, knowledge of the full spatial extent and characteristics of these dunes is limited by their inaccessibility and dense vegetation cover. Geographic object‐based image analysis (GEOBIA) permits the semi‐automatic creation of reproducible parameter‐based objects and can be an appropriate means to systematically and spatially map these dunes remotely. Here, a digital elevation model (DEM) and its derivatives, such as slope and curvature, were segmented in a GEOBIA context, enabling the identification and mapping of aeolian sand dunes in Arctic Sweden. Analysis of the GEOBIA‐derived and expert‐accepted polygons affirms the prevalence of parabolic dune type and reveals the coexistence of simple dunes with large coalesced systems. Furthermore, mapped dune orientations and relationships to other geomorphological features were used to explore past wind directions and to identify sediment sources as well as the reasons for sand availability. The results indicate that most dune systems in Arctic Sweden were initially supplied by glaciofluvial and fluvial disturbances of sandy esker systems. Topographic control of wind direction is the dominant influence on dune orientation. Further, our approach shows that analysing the GEOBIA‐derived dune objects in their geomorphological context paves the way for successfully investigating aeolian sand dune location, type and orientation in Arctic Sweden, thereby facilitating the understanding of post‐glacial landscape (in)stability and evolution in the area. |
author2 |
Göran Gustafssons Stiftelse för Naturvetenskaplig och Medicinsk Forskning |
format |
Article in Journal/Newspaper |
author |
Stammler, Melanie Stevens, Thomas Hölbling, Daniel |
spellingShingle |
Stammler, Melanie Stevens, Thomas Hölbling, Daniel Geographic object‐based image analysis (GEOBIA) of the distribution and characteristics of aeolian sand dunes in Arctic Sweden |
author_facet |
Stammler, Melanie Stevens, Thomas Hölbling, Daniel |
author_sort |
Stammler, Melanie |
title |
Geographic object‐based image analysis (GEOBIA) of the distribution and characteristics of aeolian sand dunes in Arctic Sweden |
title_short |
Geographic object‐based image analysis (GEOBIA) of the distribution and characteristics of aeolian sand dunes in Arctic Sweden |
title_full |
Geographic object‐based image analysis (GEOBIA) of the distribution and characteristics of aeolian sand dunes in Arctic Sweden |
title_fullStr |
Geographic object‐based image analysis (GEOBIA) of the distribution and characteristics of aeolian sand dunes in Arctic Sweden |
title_full_unstemmed |
Geographic object‐based image analysis (GEOBIA) of the distribution and characteristics of aeolian sand dunes in Arctic Sweden |
title_sort |
geographic object‐based image analysis (geobia) of the distribution and characteristics of aeolian sand dunes in arctic sweden |
publisher |
Wiley |
publishDate |
2022 |
url |
http://dx.doi.org/10.1002/ppp.2169 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppp.2169 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ppp.2169 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change Ice Sheet Permafrost and Periglacial Processes |
genre_facet |
Arctic Climate change Ice Sheet Permafrost and Periglacial Processes |
op_source |
Permafrost and Periglacial Processes volume 34, issue 1, page 22-36 ISSN 1045-6740 1099-1530 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1002/ppp.2169 |
container_title |
Permafrost and Periglacial Processes |
container_volume |
34 |
container_issue |
1 |
container_start_page |
22 |
op_container_end_page |
36 |
_version_ |
1812174151997194240 |