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...

Full description

Bibliographic Details
Published in:Remote Sensing
Main Author: Andrei Kartoziia
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2019
Subjects:
UAV
DTM
Ice
Online Access:https://doi.org/10.3390/rs11131627
id ftmdpi:oai:mdpi.com:/2072-4292/11/13/1627/
record_format openpolar
spelling 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
_version_ 1774714550274228224