Assessment of the Ice Wedge Polygon Current State by Means of UAV Imagery Analysis (Samoylov Island, the Lena Delta)
Modern degradation of Arctic permafrost promotes changes in tundra landscapes and leads to degradation of ice wedge polygons, which are the most widespread landforms of Arctic wetlands. Status assessment of polygon degradation is important for various environmental studies. We have applied the geogr...
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ftmdpi:oai:mdpi.com:/2072-4292/11/13/1627/ 2023-08-20T04:04:08+02:00 Assessment of the Ice Wedge Polygon Current State by Means of UAV Imagery Analysis (Samoylov Island, the Lena Delta) Andrei Kartoziia agris 2019-07-09 application/pdf https://doi.org/10.3390/rs11131627 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs11131627 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 11; Issue 13; Pages: 1627 the Lena delta Samoylov island remote sensing UAV DTM polygon degradation low-centered polygons high-centered polygons thermokarst Text 2019 ftmdpi https://doi.org/10.3390/rs11131627 2023-07-31T22:25:19Z Modern degradation of Arctic permafrost promotes changes in tundra landscapes and leads to degradation of ice wedge polygons, which are the most widespread landforms of Arctic wetlands. Status assessment of polygon degradation is important for various environmental studies. We have applied the geographic information systems’ (GIS) analysis of data from unmanned aerial vehicles (UAV) to accurately assess the status of ice wedge polygon degradation on Samoylov Island. We used several modern models of polygon degradation for revealing polygon types, which obviously correspond to different stages of degradation. Manual methods of mapping and a high spatial resolution of used UAV data allowed for a high degree of accuracy in the identification of all land units. The study revealed the following: 41.79% of the first terrace surface was composed of non-degraded polygonal tundra; 18.37% was composed of polygons, which had signs of thermokarst activity and corresponded to various stages of degradation in the models; and 39.84% was composed of collapsed polygons, slopes, valleys, and water bodies, excluding ponds of individual polygons. This study characterizes the current status of polygonal tundra degradation of the first terrace surface on Samoylov Island. Our assessment reflects the landscape condition of the first terrace surface of Samoylov Island, which is the typical island of the southern part of the Lena Delta. Moreover, the study illustrates the potential of UAV data GIS analysis for highly accurate investigations of Arctic landscape changes. Text Arctic Ice lena delta permafrost Thermokarst Tundra wedge* MDPI Open Access Publishing Arctic Remote Sensing 11 13 1627 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
the Lena delta Samoylov island remote sensing UAV DTM polygon degradation low-centered polygons high-centered polygons thermokarst |
spellingShingle |
the Lena delta Samoylov island remote sensing UAV DTM polygon degradation low-centered polygons high-centered polygons thermokarst Andrei Kartoziia Assessment of the Ice Wedge Polygon Current State by Means of UAV Imagery Analysis (Samoylov Island, the Lena Delta) |
topic_facet |
the Lena delta Samoylov island remote sensing UAV DTM polygon degradation low-centered polygons high-centered polygons thermokarst |
description |
Modern degradation of Arctic permafrost promotes changes in tundra landscapes and leads to degradation of ice wedge polygons, which are the most widespread landforms of Arctic wetlands. Status assessment of polygon degradation is important for various environmental studies. We have applied the geographic information systems’ (GIS) analysis of data from unmanned aerial vehicles (UAV) to accurately assess the status of ice wedge polygon degradation on Samoylov Island. We used several modern models of polygon degradation for revealing polygon types, which obviously correspond to different stages of degradation. Manual methods of mapping and a high spatial resolution of used UAV data allowed for a high degree of accuracy in the identification of all land units. The study revealed the following: 41.79% of the first terrace surface was composed of non-degraded polygonal tundra; 18.37% was composed of polygons, which had signs of thermokarst activity and corresponded to various stages of degradation in the models; and 39.84% was composed of collapsed polygons, slopes, valleys, and water bodies, excluding ponds of individual polygons. This study characterizes the current status of polygonal tundra degradation of the first terrace surface on Samoylov Island. Our assessment reflects the landscape condition of the first terrace surface of Samoylov Island, which is the typical island of the southern part of the Lena Delta. Moreover, the study illustrates the potential of UAV data GIS analysis for highly accurate investigations of Arctic landscape changes. |
format |
Text |
author |
Andrei Kartoziia |
author_facet |
Andrei Kartoziia |
author_sort |
Andrei Kartoziia |
title |
Assessment of the Ice Wedge Polygon Current State by Means of UAV Imagery Analysis (Samoylov Island, the Lena Delta) |
title_short |
Assessment of the Ice Wedge Polygon Current State by Means of UAV Imagery Analysis (Samoylov Island, the Lena Delta) |
title_full |
Assessment of the Ice Wedge Polygon Current State by Means of UAV Imagery Analysis (Samoylov Island, the Lena Delta) |
title_fullStr |
Assessment of the Ice Wedge Polygon Current State by Means of UAV Imagery Analysis (Samoylov Island, the Lena Delta) |
title_full_unstemmed |
Assessment of the Ice Wedge Polygon Current State by Means of UAV Imagery Analysis (Samoylov Island, the Lena Delta) |
title_sort |
assessment of the ice wedge polygon current state by means of uav imagery analysis (samoylov island, the lena delta) |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2019 |
url |
https://doi.org/10.3390/rs11131627 |
op_coverage |
agris |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Ice lena delta permafrost Thermokarst Tundra wedge* |
genre_facet |
Arctic Ice lena delta permafrost Thermokarst Tundra wedge* |
op_source |
Remote Sensing; Volume 11; Issue 13; Pages: 1627 |
op_relation |
Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs11131627 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs11131627 |
container_title |
Remote Sensing |
container_volume |
11 |
container_issue |
13 |
container_start_page |
1627 |
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1774714550274228224 |