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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Main Authors: Martin Karlson, David Bastviken, Heather Reese
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/22/4653
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author Martin Karlson
David Bastviken
Heather Reese
author_facet Martin Karlson
David Bastviken
Heather Reese
author_sort Martin Karlson
collection DOAJ
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.
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spelling doaj.art-730eefba70ed45389b0cd4c836f0a7372023-11-23T01:21:02ZengMDPI AGRemote Sensing2072-42922021-11-011322465310.3390/rs13224653Error Characteristics of Pan-Arctic Digital Elevation Models and Elevation Derivatives in Northern SwedenMartin Karlson0David Bastviken1Heather Reese2Department of Thematic Studies/Environmental Change, Linköping University, 58183 Linköping, SwedenDepartment of Thematic Studies/Environmental Change, Linköping University, 58183 Linköping, SwedenDepartment of Earth Sciences, University of Gothenburg, 40530 Gothenburg, SwedenMany 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.https://www.mdpi.com/2072-4292/13/22/4653digital elevation modelaccuracy assessmentelevation derivativesterrainArctic regionland cover
spellingShingle Martin Karlson
David Bastviken
Heather Reese
Error Characteristics of Pan-Arctic Digital Elevation Models and Elevation Derivatives in Northern Sweden
Remote Sensing
digital elevation model
accuracy assessment
elevation derivatives
terrain
Arctic region
land cover
title 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_short 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
topic digital elevation model
accuracy assessment
elevation derivatives
terrain
Arctic region
land cover
url https://www.mdpi.com/2072-4292/13/22/4653
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AT heatherreese errorcharacteristicsofpanarcticdigitalelevationmodelsandelevationderivativesinnorthernsweden