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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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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1774714811590901760 |