Archaeological Surveying of Subarctic and Arctic Landscapes: Comparing the Performance of Airborne Laser Scanning and Remote Sensing Image Data
What can remote sensing contribute to archaeological surveying in subarctic and arctic landscapes? The pros and cons of remote sensing data vary as do areas of utilization and methodological approaches. We assessed the applicability of remote sensing for archaeological surveying of northern landscap...
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Online Access: | https://hdl.handle.net/11250/2728714 https://doi.org/10.3390/su13041917 |
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ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2728714 2023-05-15T14:59:17+02:00 Archaeological Surveying of Subarctic and Arctic Landscapes: Comparing the Performance of Airborne Laser Scanning and Remote Sensing Image Data Thuestad, Alma Elizabeth Risbøl, Ole Kleppe, Jan Ingolf Barlindhaug, Stine myrvoll, elin rose 2021 application/pdf https://hdl.handle.net/11250/2728714 https://doi.org/10.3390/su13041917 eng eng MDPI Sustainability. 2021, 13 (4), . urn:issn:2071-1050 https://hdl.handle.net/11250/2728714 https://doi.org/10.3390/su13041917 cristin:1890255 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no CC-BY 13 Sustainability 4 Peer reviewed Journal article 2021 ftntnutrondheimi https://doi.org/10.3390/su13041917 2021-02-24T23:34:40Z What can remote sensing contribute to archaeological surveying in subarctic and arctic landscapes? The pros and cons of remote sensing data vary as do areas of utilization and methodological approaches. We assessed the applicability of remote sensing for archaeological surveying of northern landscapes using airborne laser scanning (LiDAR) and satellite and aerial images to map archaeological features as a basis for a) assessing the pros and cons of the different approaches and b) assessing the potential detection rate of remote sensing. Interpretation of images and a LiDAR-based bare-earth digital terrain model (DTM) was based on visual analyses aided by processing and visualizing techniques. 368 features were identified in the aerial images, 437 in the satellite images and 1186 in the DTM. LiDAR yielded the better result, especially for hunting pits. Image data proved suitable for dwellings and settlement sites. Feature characteristics proved a key factor for detectability, both in LiDAR and image data. This study has shown that LiDAR and remote sensing image data are highly applicable for archaeological surveying in northern landscapes. It showed that a multi-sensor approach contributes to high detection rates. Our results have improved the inventory of archaeological sites in a non-destructive and minimally invasive manner. publishedVersion This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited Article in Journal/Newspaper Arctic Subarctic NTNU Open Archive (Norwegian University of Science and Technology) Arctic Sustainability 13 4 1917 |
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Open Polar |
collection |
NTNU Open Archive (Norwegian University of Science and Technology) |
op_collection_id |
ftntnutrondheimi |
language |
English |
description |
What can remote sensing contribute to archaeological surveying in subarctic and arctic landscapes? The pros and cons of remote sensing data vary as do areas of utilization and methodological approaches. We assessed the applicability of remote sensing for archaeological surveying of northern landscapes using airborne laser scanning (LiDAR) and satellite and aerial images to map archaeological features as a basis for a) assessing the pros and cons of the different approaches and b) assessing the potential detection rate of remote sensing. Interpretation of images and a LiDAR-based bare-earth digital terrain model (DTM) was based on visual analyses aided by processing and visualizing techniques. 368 features were identified in the aerial images, 437 in the satellite images and 1186 in the DTM. LiDAR yielded the better result, especially for hunting pits. Image data proved suitable for dwellings and settlement sites. Feature characteristics proved a key factor for detectability, both in LiDAR and image data. This study has shown that LiDAR and remote sensing image data are highly applicable for archaeological surveying in northern landscapes. It showed that a multi-sensor approach contributes to high detection rates. Our results have improved the inventory of archaeological sites in a non-destructive and minimally invasive manner. publishedVersion This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited |
format |
Article in Journal/Newspaper |
author |
Thuestad, Alma Elizabeth Risbøl, Ole Kleppe, Jan Ingolf Barlindhaug, Stine myrvoll, elin rose |
spellingShingle |
Thuestad, Alma Elizabeth Risbøl, Ole Kleppe, Jan Ingolf Barlindhaug, Stine myrvoll, elin rose Archaeological Surveying of Subarctic and Arctic Landscapes: Comparing the Performance of Airborne Laser Scanning and Remote Sensing Image Data |
author_facet |
Thuestad, Alma Elizabeth Risbøl, Ole Kleppe, Jan Ingolf Barlindhaug, Stine myrvoll, elin rose |
author_sort |
Thuestad, Alma Elizabeth |
title |
Archaeological Surveying of Subarctic and Arctic Landscapes: Comparing the Performance of Airborne Laser Scanning and Remote Sensing Image Data |
title_short |
Archaeological Surveying of Subarctic and Arctic Landscapes: Comparing the Performance of Airborne Laser Scanning and Remote Sensing Image Data |
title_full |
Archaeological Surveying of Subarctic and Arctic Landscapes: Comparing the Performance of Airborne Laser Scanning and Remote Sensing Image Data |
title_fullStr |
Archaeological Surveying of Subarctic and Arctic Landscapes: Comparing the Performance of Airborne Laser Scanning and Remote Sensing Image Data |
title_full_unstemmed |
Archaeological Surveying of Subarctic and Arctic Landscapes: Comparing the Performance of Airborne Laser Scanning and Remote Sensing Image Data |
title_sort |
archaeological surveying of subarctic and arctic landscapes: comparing the performance of airborne laser scanning and remote sensing image data |
publisher |
MDPI |
publishDate |
2021 |
url |
https://hdl.handle.net/11250/2728714 https://doi.org/10.3390/su13041917 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Subarctic |
genre_facet |
Arctic Subarctic |
op_source |
13 Sustainability 4 |
op_relation |
Sustainability. 2021, 13 (4), . urn:issn:2071-1050 https://hdl.handle.net/11250/2728714 https://doi.org/10.3390/su13041917 cristin:1890255 |
op_rights |
Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3390/su13041917 |
container_title |
Sustainability |
container_volume |
13 |
container_issue |
4 |
container_start_page |
1917 |
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1766331393999110144 |