Error Characteristics of Pan-Arctic Digital Elevation Models and Elevation Derivatives in Northern Sweden
Many biochemical processes and dynamics are strongly controlled by terrain topography, making digital elevation models (DEM) a fundamental dataset for a range of applications. This study investigates the quality of four pan-Arctic DEMs (Arctic DEM, ASTER DEM, ALOS DEM and Copernicus DEM) within the...
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Linköpings universitet, Tema Miljöförändring
2021
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ftlinkoepinguniv:oai:DiVA.org:liu-181688 2023-09-26T15:13:33+02:00 Error Characteristics of Pan-Arctic Digital Elevation Models and Elevation Derivatives in Northern Sweden Karlson, Martin Bastviken, David Reese, Heather 2021 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-181688 https://doi.org/10.3390/rs13224653 eng eng Linköpings universitet, Tema Miljöförändring Linköpings universitet, Filosofiska fakulteten Linköpings universitet, Centrum för klimatpolitisk forskning, CSPR Univ Gothenburg, Sweden MDPI Remote Sensing, 2021, 13:22, orcid:0000-0002-3926-3671 orcid:0000-0003-0038-2152 http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-181688 doi:10.3390/rs13224653 ISI:000723616700001 info:eu-repo/semantics/openAccess digital elevation model accuracy assessment elevation derivatives terrain Arctic region land cover Remote Sensing Fjärranalysteknik Article in journal info:eu-repo/semantics/article text 2021 ftlinkoepinguniv https://doi.org/10.3390/rs13224653 2023-08-30T22:32:10Z Many biochemical processes and dynamics are strongly controlled by terrain topography, making digital elevation models (DEM) a fundamental dataset for a range of applications. This study investigates the quality of four pan-Arctic DEMs (Arctic DEM, ASTER DEM, ALOS DEM and Copernicus DEM) within the Kalix River watershed in northern Sweden, with the aim of informing users about the quality when comparing these DEMs. The quality assessment focuses on both the vertical accuracy of the DEMs and their abilities to model two fundamental elevation derivatives, including topographic wetness index (TWI) and landform classification. Our results show that the vertical accuracy is relatively high for Arctic DEM, ALOS and Copernicus and in our study area was slightly better than those reported in official validation results. Vertical errors are mainly caused by tree cover characteristics and terrain slope. On the other hand, the high vertical accuracy does not translate directly into high quality elevation derivatives, such as TWI and landform classes, as shown by the large errors in TWI and landform classification for all four candidate DEMs. Copernicus produced elevation derivatives with results most similar to those from the reference DEM, but the errors are still relatively high, with large underestimation of TWI in land cover classes with a high likelihood of being wet. Overall, the Copernicus DEM produced the most accurate elevation derivatives, followed by slightly lower accuracies from Arctic DEM and ALOS, and the least accurate being ASTER. Funding Agencies|Svenska Forskningsradet FormasSwedish Research Council Formas [2017-01944, 2018-01794, 2018-00570] Article in Journal/Newspaper Arctic Northern Sweden LIU - Linköping University: Publications (DiVA) Arctic Kalix ENVELOPE(23.156,23.156,65.853,65.853) Remote Sensing 13 22 4653 |
institution |
Open Polar |
collection |
LIU - Linköping University: Publications (DiVA) |
op_collection_id |
ftlinkoepinguniv |
language |
English |
topic |
digital elevation model accuracy assessment elevation derivatives terrain Arctic region land cover Remote Sensing Fjärranalysteknik |
spellingShingle |
digital elevation model accuracy assessment elevation derivatives terrain Arctic region land cover Remote Sensing Fjärranalysteknik Karlson, Martin Bastviken, David Reese, Heather Error Characteristics of Pan-Arctic Digital Elevation Models and Elevation Derivatives in Northern Sweden |
topic_facet |
digital elevation model accuracy assessment elevation derivatives terrain Arctic region land cover Remote Sensing Fjärranalysteknik |
description |
Many biochemical processes and dynamics are strongly controlled by terrain topography, making digital elevation models (DEM) a fundamental dataset for a range of applications. This study investigates the quality of four pan-Arctic DEMs (Arctic DEM, ASTER DEM, ALOS DEM and Copernicus DEM) within the Kalix River watershed in northern Sweden, with the aim of informing users about the quality when comparing these DEMs. The quality assessment focuses on both the vertical accuracy of the DEMs and their abilities to model two fundamental elevation derivatives, including topographic wetness index (TWI) and landform classification. Our results show that the vertical accuracy is relatively high for Arctic DEM, ALOS and Copernicus and in our study area was slightly better than those reported in official validation results. Vertical errors are mainly caused by tree cover characteristics and terrain slope. On the other hand, the high vertical accuracy does not translate directly into high quality elevation derivatives, such as TWI and landform classes, as shown by the large errors in TWI and landform classification for all four candidate DEMs. Copernicus produced elevation derivatives with results most similar to those from the reference DEM, but the errors are still relatively high, with large underestimation of TWI in land cover classes with a high likelihood of being wet. Overall, the Copernicus DEM produced the most accurate elevation derivatives, followed by slightly lower accuracies from Arctic DEM and ALOS, and the least accurate being ASTER. Funding Agencies|Svenska Forskningsradet FormasSwedish Research Council Formas [2017-01944, 2018-01794, 2018-00570] |
format |
Article in Journal/Newspaper |
author |
Karlson, Martin Bastviken, David Reese, Heather |
author_facet |
Karlson, Martin Bastviken, David Reese, Heather |
author_sort |
Karlson, Martin |
title |
Error Characteristics of Pan-Arctic Digital Elevation Models and Elevation Derivatives in Northern Sweden |
title_short |
Error Characteristics of Pan-Arctic Digital Elevation Models and Elevation Derivatives in Northern Sweden |
title_full |
Error Characteristics of Pan-Arctic Digital Elevation Models and Elevation Derivatives in Northern Sweden |
title_fullStr |
Error Characteristics of Pan-Arctic Digital Elevation Models and Elevation Derivatives in Northern Sweden |
title_full_unstemmed |
Error Characteristics of Pan-Arctic Digital Elevation Models and Elevation Derivatives in Northern Sweden |
title_sort |
error characteristics of pan-arctic digital elevation models and elevation derivatives in northern sweden |
publisher |
Linköpings universitet, Tema Miljöförändring |
publishDate |
2021 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-181688 https://doi.org/10.3390/rs13224653 |
long_lat |
ENVELOPE(23.156,23.156,65.853,65.853) |
geographic |
Arctic Kalix |
geographic_facet |
Arctic Kalix |
genre |
Arctic Northern Sweden |
genre_facet |
Arctic Northern Sweden |
op_relation |
Remote Sensing, 2021, 13:22, orcid:0000-0002-3926-3671 orcid:0000-0003-0038-2152 http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-181688 doi:10.3390/rs13224653 ISI:000723616700001 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3390/rs13224653 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
22 |
container_start_page |
4653 |
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1778134110221369344 |