Quality Assessment and Glaciological Applications of Digital Elevation Models Derived from Space-Borne and Aerial Images over Two Tidewater Glaciers of Southern Spitsbergen
In this study, we assess the accuracy and precision of digital elevation models (DEM) retrieved from aerial photographs taken in 2011 and from Very High Resolution satellite images (WorldView-2 and Pléiades) from the period 2012–2017. Additionally, the accuracy of the freely available Strip product...
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ftmdpi:oai:mdpi.com:/2072-4292/11/9/1121/ 2023-08-20T04:06:43+02:00 Quality Assessment and Glaciological Applications of Digital Elevation Models Derived from Space-Borne and Aerial Images over Two Tidewater Glaciers of Southern Spitsbergen Małgorzata Błaszczyk Dariusz Ignatiuk Mariusz Grabiec Leszek Kolondra Michał Laska Leo Decaux Jacek Jania Etienne Berthier Bartłomiej Luks Barbara Barzycka Mateusz Czapla agris 2019-05-10 application/pdf https://doi.org/10.3390/rs11091121 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs11091121 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 11; Issue 9; Pages: 1121 DEM Pléiades WorldView glacier mass balance Svalbard tidewater glaciers Text 2019 ftmdpi https://doi.org/10.3390/rs11091121 2023-07-31T22:15:51Z In this study, we assess the accuracy and precision of digital elevation models (DEM) retrieved from aerial photographs taken in 2011 and from Very High Resolution satellite images (WorldView-2 and Pléiades) from the period 2012–2017. Additionally, the accuracy of the freely available Strip product of ArcticDEM was verified. We use the DEMs to characterize geometry changes over Hansbreen and Hornbreen, two tidewater glaciers in southern Spitsbergen, Svalbard. The satellite-based DEMs from WorldView-2 and Pléiades stereo pairs were processed using the Rational Function Model (RFM) without and with one ground control point. The elevation quality of the DEMs over glacierized areas was validated with in situ data: static differential GPS survey of mass balance stakes and GPS kinematic data acquired during ground penetrating radar survey. Results demonstrate the usefulness of the analyzed sources of DEMs for estimation of the total geodetic mass balance of the Svalbard glaciers. DEM accuracy is sufficient to investigate glacier surface elevation changes above 1 m. Strips from the ArcticDEM are generally precise, but some of them showed gross errors and need to be handled with caution. The surface of Hansbreen and Hornbreen has been lowering in recent years. The average annual elevation changes for Hansbreen were more negative in the period 2015–2017 (−2.4 m a−1) than in the period 2011–2015 (−1.7 m a−1). The average annual elevation changes over the studied area of Hornbreen for the period 2012–2017 amounted to −1.6 m a−1. The geodetic mass balance for Hansbreen was more negative than the climatic mass balance estimated using the mass budget method, probably due to underestimation of the ice discharge. From 2011 to 2017, Hansbreen lost on average over 1% of its volume each year. Such a high rate of relative loss illustrates how fast these glaciers are responding to climate change. Text glacier Svalbard Tidewater Spitsbergen MDPI Open Access Publishing Svalbard Hansbreen ENVELOPE(15.650,15.650,77.075,77.075) Hornbreen ENVELOPE(16.689,16.689,77.066,77.066) Remote Sensing 11 9 1121 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
DEM Pléiades WorldView glacier mass balance Svalbard tidewater glaciers |
spellingShingle |
DEM Pléiades WorldView glacier mass balance Svalbard tidewater glaciers Małgorzata Błaszczyk Dariusz Ignatiuk Mariusz Grabiec Leszek Kolondra Michał Laska Leo Decaux Jacek Jania Etienne Berthier Bartłomiej Luks Barbara Barzycka Mateusz Czapla Quality Assessment and Glaciological Applications of Digital Elevation Models Derived from Space-Borne and Aerial Images over Two Tidewater Glaciers of Southern Spitsbergen |
topic_facet |
DEM Pléiades WorldView glacier mass balance Svalbard tidewater glaciers |
description |
In this study, we assess the accuracy and precision of digital elevation models (DEM) retrieved from aerial photographs taken in 2011 and from Very High Resolution satellite images (WorldView-2 and Pléiades) from the period 2012–2017. Additionally, the accuracy of the freely available Strip product of ArcticDEM was verified. We use the DEMs to characterize geometry changes over Hansbreen and Hornbreen, two tidewater glaciers in southern Spitsbergen, Svalbard. The satellite-based DEMs from WorldView-2 and Pléiades stereo pairs were processed using the Rational Function Model (RFM) without and with one ground control point. The elevation quality of the DEMs over glacierized areas was validated with in situ data: static differential GPS survey of mass balance stakes and GPS kinematic data acquired during ground penetrating radar survey. Results demonstrate the usefulness of the analyzed sources of DEMs for estimation of the total geodetic mass balance of the Svalbard glaciers. DEM accuracy is sufficient to investigate glacier surface elevation changes above 1 m. Strips from the ArcticDEM are generally precise, but some of them showed gross errors and need to be handled with caution. The surface of Hansbreen and Hornbreen has been lowering in recent years. The average annual elevation changes for Hansbreen were more negative in the period 2015–2017 (−2.4 m a−1) than in the period 2011–2015 (−1.7 m a−1). The average annual elevation changes over the studied area of Hornbreen for the period 2012–2017 amounted to −1.6 m a−1. The geodetic mass balance for Hansbreen was more negative than the climatic mass balance estimated using the mass budget method, probably due to underestimation of the ice discharge. From 2011 to 2017, Hansbreen lost on average over 1% of its volume each year. Such a high rate of relative loss illustrates how fast these glaciers are responding to climate change. |
format |
Text |
author |
Małgorzata Błaszczyk Dariusz Ignatiuk Mariusz Grabiec Leszek Kolondra Michał Laska Leo Decaux Jacek Jania Etienne Berthier Bartłomiej Luks Barbara Barzycka Mateusz Czapla |
author_facet |
Małgorzata Błaszczyk Dariusz Ignatiuk Mariusz Grabiec Leszek Kolondra Michał Laska Leo Decaux Jacek Jania Etienne Berthier Bartłomiej Luks Barbara Barzycka Mateusz Czapla |
author_sort |
Małgorzata Błaszczyk |
title |
Quality Assessment and Glaciological Applications of Digital Elevation Models Derived from Space-Borne and Aerial Images over Two Tidewater Glaciers of Southern Spitsbergen |
title_short |
Quality Assessment and Glaciological Applications of Digital Elevation Models Derived from Space-Borne and Aerial Images over Two Tidewater Glaciers of Southern Spitsbergen |
title_full |
Quality Assessment and Glaciological Applications of Digital Elevation Models Derived from Space-Borne and Aerial Images over Two Tidewater Glaciers of Southern Spitsbergen |
title_fullStr |
Quality Assessment and Glaciological Applications of Digital Elevation Models Derived from Space-Borne and Aerial Images over Two Tidewater Glaciers of Southern Spitsbergen |
title_full_unstemmed |
Quality Assessment and Glaciological Applications of Digital Elevation Models Derived from Space-Borne and Aerial Images over Two Tidewater Glaciers of Southern Spitsbergen |
title_sort |
quality assessment and glaciological applications of digital elevation models derived from space-borne and aerial images over two tidewater glaciers of southern spitsbergen |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2019 |
url |
https://doi.org/10.3390/rs11091121 |
op_coverage |
agris |
long_lat |
ENVELOPE(15.650,15.650,77.075,77.075) ENVELOPE(16.689,16.689,77.066,77.066) |
geographic |
Svalbard Hansbreen Hornbreen |
geographic_facet |
Svalbard Hansbreen Hornbreen |
genre |
glacier Svalbard Tidewater Spitsbergen |
genre_facet |
glacier Svalbard Tidewater Spitsbergen |
op_source |
Remote Sensing; Volume 11; Issue 9; Pages: 1121 |
op_relation |
Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs11091121 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs11091121 |
container_title |
Remote Sensing |
container_volume |
11 |
container_issue |
9 |
container_start_page |
1121 |
_version_ |
1774718008898355200 |