The Spatial Analysis of Vegetation Cover and Permafrost Degradation for a Subarctic Palsa Mire Based on UAS Photogrammetry and GPR Data in the Kola Peninsula
Subarctic palsa mires undergo substantial transformation under climate impacts, and today a reliable marker of their degradation is the vegetation cover. We studied the correspondence between the surface traits of palsa degradation, as expressed in the vegetation composition, and the interior condit...
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ftmdpi:oai:mdpi.com:/2072-4292/15/7/1896/ 2023-08-20T04:07:47+02:00 The Spatial Analysis of Vegetation Cover and Permafrost Degradation for a Subarctic Palsa Mire Based on UAS Photogrammetry and GPR Data in the Kola Peninsula Natalya Krutskikh Pavel Ryazantsev Pavel Ignashov Alexey Kabonen agris 2023-03-31 application/pdf https://doi.org/10.3390/rs15071896 EN eng Multidisciplinary Digital Publishing Institute Biogeosciences Remote Sensing https://dx.doi.org/10.3390/rs15071896 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 15; Issue 7; Pages: 1896 digital elevation model GPR cross-sections patterns machine learning land cover classification morphometric predictors Lovozero Text 2023 ftmdpi https://doi.org/10.3390/rs15071896 2023-08-01T09:31:56Z Subarctic palsa mires undergo substantial transformation under climate impacts, and today a reliable marker of their degradation is the vegetation cover. We studied the correspondence between the surface traits of palsa degradation, as expressed in the vegetation composition, and the interior condition of permafrost within subarctic palsa mires in the central part of the Kola Peninsula. We have employed a set of methods to collect the data, including geobotanical relevés, unmanned aerial system (UAS) photogrammetry, and ground-penetrating radar (GPR) survey. Based on RGB orthophoto values and morphometric variables, we produced a land cover classification (LCC) consistent with the vegetation classes identified during field measurements. The outcome proves that the additional morphometric predictors improve the accuracy of classification algorithms. We identified three major patterns in GPR cross-sections defining (i) permafrost in palsas, (ii) water saturated peat, and (iii) the regular peat layer. As a result, our GPR data demonstrated a high correlation with land cover classes and pointed to some vegetation features controlled by the peat deposit inner structure. Under our results, palsas with thawing permafrost can be appraised using sequences of LCC. This is primarily the lichen hummock—tall shrub—carpet vegetation (LH–TSh–C) sequence from palsa top to foot. We have also detected an asymmetric configuration of permafrost in some palsas in the west-to-east direction and hypothesized that it can relate to the wind regime of the area and snow accumulation on the eastern slopes. Our results highlight that the combined application of the remote UAS photogrammetry and GPR survey enables a more precise delineation of the lateral degradation of palsas. Text kola peninsula palsa palsas permafrost Subarctic MDPI Open Access Publishing Kola Peninsula Lovozero ENVELOPE(35.016,35.016,68.006,68.006) Remote Sensing 15 7 1896 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
digital elevation model GPR cross-sections patterns machine learning land cover classification morphometric predictors Lovozero |
spellingShingle |
digital elevation model GPR cross-sections patterns machine learning land cover classification morphometric predictors Lovozero Natalya Krutskikh Pavel Ryazantsev Pavel Ignashov Alexey Kabonen The Spatial Analysis of Vegetation Cover and Permafrost Degradation for a Subarctic Palsa Mire Based on UAS Photogrammetry and GPR Data in the Kola Peninsula |
topic_facet |
digital elevation model GPR cross-sections patterns machine learning land cover classification morphometric predictors Lovozero |
description |
Subarctic palsa mires undergo substantial transformation under climate impacts, and today a reliable marker of their degradation is the vegetation cover. We studied the correspondence between the surface traits of palsa degradation, as expressed in the vegetation composition, and the interior condition of permafrost within subarctic palsa mires in the central part of the Kola Peninsula. We have employed a set of methods to collect the data, including geobotanical relevés, unmanned aerial system (UAS) photogrammetry, and ground-penetrating radar (GPR) survey. Based on RGB orthophoto values and morphometric variables, we produced a land cover classification (LCC) consistent with the vegetation classes identified during field measurements. The outcome proves that the additional morphometric predictors improve the accuracy of classification algorithms. We identified three major patterns in GPR cross-sections defining (i) permafrost in palsas, (ii) water saturated peat, and (iii) the regular peat layer. As a result, our GPR data demonstrated a high correlation with land cover classes and pointed to some vegetation features controlled by the peat deposit inner structure. Under our results, palsas with thawing permafrost can be appraised using sequences of LCC. This is primarily the lichen hummock—tall shrub—carpet vegetation (LH–TSh–C) sequence from palsa top to foot. We have also detected an asymmetric configuration of permafrost in some palsas in the west-to-east direction and hypothesized that it can relate to the wind regime of the area and snow accumulation on the eastern slopes. Our results highlight that the combined application of the remote UAS photogrammetry and GPR survey enables a more precise delineation of the lateral degradation of palsas. |
format |
Text |
author |
Natalya Krutskikh Pavel Ryazantsev Pavel Ignashov Alexey Kabonen |
author_facet |
Natalya Krutskikh Pavel Ryazantsev Pavel Ignashov Alexey Kabonen |
author_sort |
Natalya Krutskikh |
title |
The Spatial Analysis of Vegetation Cover and Permafrost Degradation for a Subarctic Palsa Mire Based on UAS Photogrammetry and GPR Data in the Kola Peninsula |
title_short |
The Spatial Analysis of Vegetation Cover and Permafrost Degradation for a Subarctic Palsa Mire Based on UAS Photogrammetry and GPR Data in the Kola Peninsula |
title_full |
The Spatial Analysis of Vegetation Cover and Permafrost Degradation for a Subarctic Palsa Mire Based on UAS Photogrammetry and GPR Data in the Kola Peninsula |
title_fullStr |
The Spatial Analysis of Vegetation Cover and Permafrost Degradation for a Subarctic Palsa Mire Based on UAS Photogrammetry and GPR Data in the Kola Peninsula |
title_full_unstemmed |
The Spatial Analysis of Vegetation Cover and Permafrost Degradation for a Subarctic Palsa Mire Based on UAS Photogrammetry and GPR Data in the Kola Peninsula |
title_sort |
spatial analysis of vegetation cover and permafrost degradation for a subarctic palsa mire based on uas photogrammetry and gpr data in the kola peninsula |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2023 |
url |
https://doi.org/10.3390/rs15071896 |
op_coverage |
agris |
long_lat |
ENVELOPE(35.016,35.016,68.006,68.006) |
geographic |
Kola Peninsula Lovozero |
geographic_facet |
Kola Peninsula Lovozero |
genre |
kola peninsula palsa palsas permafrost Subarctic |
genre_facet |
kola peninsula palsa palsas permafrost Subarctic |
op_source |
Remote Sensing; Volume 15; Issue 7; Pages: 1896 |
op_relation |
Biogeosciences Remote Sensing https://dx.doi.org/10.3390/rs15071896 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs15071896 |
container_title |
Remote Sensing |
container_volume |
15 |
container_issue |
7 |
container_start_page |
1896 |
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1774719676505391104 |