Assessment of Spatio-Temporal Landscape Changes from VHR Images in Three Different Permafrost Areas in the Western Russian Arctic

Our study highlights the usefulness of very high resolution (VHR) images to detect various types of disturbances over permafrost areas using three example regions in different permafrost zones. The study focuses on detecting subtle changes in land cover classes, thermokarst water bodies, river dynam...

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Published in:Remote Sensing
Main Authors: Florina Ardelean, Alexandru Onaca, Marinela-Adriana Chețan, Andrei Dornik, Goran Georgievski, Stefan Hagemann, Fabian Timofte, Oana Berzescu
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:https://doi.org/10.3390/rs12233999
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spelling ftmdpi:oai:mdpi.com:/2072-4292/12/23/3999/ 2023-08-20T04:04:26+02:00 Assessment of Spatio-Temporal Landscape Changes from VHR Images in Three Different Permafrost Areas in the Western Russian Arctic Florina Ardelean Alexandru Onaca Marinela-Adriana Chețan Andrei Dornik Goran Georgievski Stefan Hagemann Fabian Timofte Oana Berzescu agris 2020-12-07 application/pdf https://doi.org/10.3390/rs12233999 EN eng Multidisciplinary Digital Publishing Institute Environmental Remote Sensing https://dx.doi.org/10.3390/rs12233999 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 23; Pages: 3999 permafrost remote sensing land cover ponds retrogressive thaw slumps infrastructure Arctic Russia Text 2020 ftmdpi https://doi.org/10.3390/rs12233999 2023-08-01T00:36:49Z Our study highlights the usefulness of very high resolution (VHR) images to detect various types of disturbances over permafrost areas using three example regions in different permafrost zones. The study focuses on detecting subtle changes in land cover classes, thermokarst water bodies, river dynamics, retrogressive thaw slumps (RTS) and infrastructure in the Yamal Peninsula, Urengoy and Pechora regions. Very high-resolution optical imagery (sub-meter) derived from WorldView, QuickBird and GeoEye in conjunction with declassified Corona images were involved in the analyses. The comparison of very high-resolution images acquired in 2003/2004 and 2016/2017 indicates a pronounced increase in the extent of tundra and a slight increase of land covered by water. The number of water bodies increased in all three regions, especially in discontinuous permafrost, where 14.86% of new lakes and ponds were initiated between 2003 and 2017. The analysis of the evolution of two river channels in Yamal and Urengoy indicates the dominance of erosion during the last two decades. An increase of both rivers’ lengths and a significant widening of the river channels were also observed. The number and total surface of RTS in the Yamal Peninsula strongly increased between 2004 and 2016. A mean annual headwall retreat rate of 1.86 m/year was calculated. Extensive networks of infrastructure occurred in the Yamal Peninsula in the last two decades, stimulating the initiation of new thermokarst features. The significant warming and seasonal variations of the hydrologic cycle, in particular, increased snow water equivalent acted in favor of deepening of the active layer; thus, an increasing number of thermokarst lake formations. Text Arctic Pechora permafrost Thermokarst Tundra Yamal Peninsula MDPI Open Access Publishing Arctic Yamal Peninsula ENVELOPE(69.873,69.873,70.816,70.816) New Lakes ENVELOPE(177.649,177.649,51.951,51.951) Urengoy ENVELOPE(78.437,78.437,65.960,65.960) Remote Sensing 12 23 3999
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic permafrost
remote sensing
land cover
ponds
retrogressive thaw slumps
infrastructure
Arctic Russia
spellingShingle permafrost
remote sensing
land cover
ponds
retrogressive thaw slumps
infrastructure
Arctic Russia
Florina Ardelean
Alexandru Onaca
Marinela-Adriana Chețan
Andrei Dornik
Goran Georgievski
Stefan Hagemann
Fabian Timofte
Oana Berzescu
Assessment of Spatio-Temporal Landscape Changes from VHR Images in Three Different Permafrost Areas in the Western Russian Arctic
topic_facet permafrost
remote sensing
land cover
ponds
retrogressive thaw slumps
infrastructure
Arctic Russia
description Our study highlights the usefulness of very high resolution (VHR) images to detect various types of disturbances over permafrost areas using three example regions in different permafrost zones. The study focuses on detecting subtle changes in land cover classes, thermokarst water bodies, river dynamics, retrogressive thaw slumps (RTS) and infrastructure in the Yamal Peninsula, Urengoy and Pechora regions. Very high-resolution optical imagery (sub-meter) derived from WorldView, QuickBird and GeoEye in conjunction with declassified Corona images were involved in the analyses. The comparison of very high-resolution images acquired in 2003/2004 and 2016/2017 indicates a pronounced increase in the extent of tundra and a slight increase of land covered by water. The number of water bodies increased in all three regions, especially in discontinuous permafrost, where 14.86% of new lakes and ponds were initiated between 2003 and 2017. The analysis of the evolution of two river channels in Yamal and Urengoy indicates the dominance of erosion during the last two decades. An increase of both rivers’ lengths and a significant widening of the river channels were also observed. The number and total surface of RTS in the Yamal Peninsula strongly increased between 2004 and 2016. A mean annual headwall retreat rate of 1.86 m/year was calculated. Extensive networks of infrastructure occurred in the Yamal Peninsula in the last two decades, stimulating the initiation of new thermokarst features. The significant warming and seasonal variations of the hydrologic cycle, in particular, increased snow water equivalent acted in favor of deepening of the active layer; thus, an increasing number of thermokarst lake formations.
format Text
author Florina Ardelean
Alexandru Onaca
Marinela-Adriana Chețan
Andrei Dornik
Goran Georgievski
Stefan Hagemann
Fabian Timofte
Oana Berzescu
author_facet Florina Ardelean
Alexandru Onaca
Marinela-Adriana Chețan
Andrei Dornik
Goran Georgievski
Stefan Hagemann
Fabian Timofte
Oana Berzescu
author_sort Florina Ardelean
title Assessment of Spatio-Temporal Landscape Changes from VHR Images in Three Different Permafrost Areas in the Western Russian Arctic
title_short Assessment of Spatio-Temporal Landscape Changes from VHR Images in Three Different Permafrost Areas in the Western Russian Arctic
title_full Assessment of Spatio-Temporal Landscape Changes from VHR Images in Three Different Permafrost Areas in the Western Russian Arctic
title_fullStr Assessment of Spatio-Temporal Landscape Changes from VHR Images in Three Different Permafrost Areas in the Western Russian Arctic
title_full_unstemmed Assessment of Spatio-Temporal Landscape Changes from VHR Images in Three Different Permafrost Areas in the Western Russian Arctic
title_sort assessment of spatio-temporal landscape changes from vhr images in three different permafrost areas in the western russian arctic
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020
url https://doi.org/10.3390/rs12233999
op_coverage agris
long_lat ENVELOPE(69.873,69.873,70.816,70.816)
ENVELOPE(177.649,177.649,51.951,51.951)
ENVELOPE(78.437,78.437,65.960,65.960)
geographic Arctic
Yamal Peninsula
New Lakes
Urengoy
geographic_facet Arctic
Yamal Peninsula
New Lakes
Urengoy
genre Arctic
Pechora
permafrost
Thermokarst
Tundra
Yamal Peninsula
genre_facet Arctic
Pechora
permafrost
Thermokarst
Tundra
Yamal Peninsula
op_source Remote Sensing; Volume 12; Issue 23; Pages: 3999
op_relation Environmental Remote Sensing
https://dx.doi.org/10.3390/rs12233999
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs12233999
container_title Remote Sensing
container_volume 12
container_issue 23
container_start_page 3999
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