Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr

Permafrost is warming globally which leads to widespread permafrost thaw. Particularly ice-rich permafrost is vulnerable to rapid thaw and erosion, impacting whole landscapes and ecosystems. Retrogressive thaw slumps (RTS) are abrupt permafrost disturbances that expand by several meters each year an...

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Published in:Remote Sensing of Environment
Main Authors: Runge, Alexandra (Dr.), Nitze, Ingmar (Dr.), Grosse, Guido (Prof. Dr.)
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:https://publishup.uni-potsdam.de/frontdoor/index/index/docId/61465
https://doi.org/10.1016/j.rse.2021.112752
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author Runge, Alexandra (Dr.)
Nitze, Ingmar (Dr.)
Grosse, Guido (Prof. Dr.)
author_facet Runge, Alexandra (Dr.)
Nitze, Ingmar (Dr.)
Grosse, Guido (Prof. Dr.)
author_sort Runge, Alexandra (Dr.)
collection University of Potsdam: publish.UP
container_start_page 112752
container_title Remote Sensing of Environment
container_volume 268
description Permafrost is warming globally which leads to widespread permafrost thaw. Particularly ice-rich permafrost is vulnerable to rapid thaw and erosion, impacting whole landscapes and ecosystems. Retrogressive thaw slumps (RTS) are abrupt permafrost disturbances that expand by several meters each year and lead to an increased soil organic carbon release. Local Remote Sensing studies identified increasing RTS activity in the last two decades by increasing number of RTS or heightened RTS growth rates. However, a large-scale assessment across diverse permafrost regions and at high temporal resolution allowing to further determine RTS thaw dynamics and its main drivers is still lacking. In this study we apply the disturbance detection algorithm LandTrendr for automated large-scale RTS mapping and high temporal thaw dynamic assessment to North Siberia (8.1 x 106km2). We adapted and parametrised the temporal segmentation algorithm for abrupt disturbance detection to incorporate Landsat+Sentinel-2 mosaics, conducted spectral filtering, spatial masking and filtering, and a binary machine-learning object classification of the disturbance output to separate between RTS and false positives (F1 score: 0.609). Ground truth data for calibration and validation of the workflow was collected from 9 known RTS cluster sites using very highresolution RapidEye and PlanetScope imagery. Our study presents the first automated detection and assessment of RTS and their temporal dynamics at largescale for 2001-2019. We identified 50,895 RTS and a steady increase in RTS-affected area from 2001 to 2019 across North Siberia, with a more abrupt increase from 2016 onward. Overall the RTS-affected area increased by 331% compared to 2000 (2000: 20,158 ha, 2001-2019: 66,699 ha). Contrary to this, 5 focus sites show spatiotemporal variability in their annual RTS dynamics, with alternating periods of increased and decreased RTS development, indicating a close relationship to thaw drivers. The majority of identified RTS was active from 2000 onward and ...
format Article in Journal/Newspaper
genre Ice
permafrost
Siberia
genre_facet Ice
permafrost
Siberia
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institution Open Polar
language English
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op_doi https://doi.org/10.1016/j.rse.2021.112752
op_relation https://doi.org/10.1016/j.rse.2021.112752
op_rights https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/closedAccess
publishDate 2021
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spelling ftubpotsdam:oai:kobv.de-opus4-uni-potsdam:61465 2025-04-20T14:38:28+00:00 Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr Runge, Alexandra (Dr.) Nitze, Ingmar (Dr.) Grosse, Guido (Prof. Dr.) 2021-10-29 https://publishup.uni-potsdam.de/frontdoor/index/index/docId/61465 https://doi.org/10.1016/j.rse.2021.112752 eng eng https://doi.org/10.1016/j.rse.2021.112752 https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/closedAccess ddc:550 Institut für Geowissenschaften article doc-type:article 2021 ftubpotsdam https://doi.org/10.1016/j.rse.2021.112752 2025-03-25T05:06:48Z Permafrost is warming globally which leads to widespread permafrost thaw. Particularly ice-rich permafrost is vulnerable to rapid thaw and erosion, impacting whole landscapes and ecosystems. Retrogressive thaw slumps (RTS) are abrupt permafrost disturbances that expand by several meters each year and lead to an increased soil organic carbon release. Local Remote Sensing studies identified increasing RTS activity in the last two decades by increasing number of RTS or heightened RTS growth rates. However, a large-scale assessment across diverse permafrost regions and at high temporal resolution allowing to further determine RTS thaw dynamics and its main drivers is still lacking. In this study we apply the disturbance detection algorithm LandTrendr for automated large-scale RTS mapping and high temporal thaw dynamic assessment to North Siberia (8.1 x 106km2). We adapted and parametrised the temporal segmentation algorithm for abrupt disturbance detection to incorporate Landsat+Sentinel-2 mosaics, conducted spectral filtering, spatial masking and filtering, and a binary machine-learning object classification of the disturbance output to separate between RTS and false positives (F1 score: 0.609). Ground truth data for calibration and validation of the workflow was collected from 9 known RTS cluster sites using very highresolution RapidEye and PlanetScope imagery. Our study presents the first automated detection and assessment of RTS and their temporal dynamics at largescale for 2001-2019. We identified 50,895 RTS and a steady increase in RTS-affected area from 2001 to 2019 across North Siberia, with a more abrupt increase from 2016 onward. Overall the RTS-affected area increased by 331% compared to 2000 (2000: 20,158 ha, 2001-2019: 66,699 ha). Contrary to this, 5 focus sites show spatiotemporal variability in their annual RTS dynamics, with alternating periods of increased and decreased RTS development, indicating a close relationship to thaw drivers. The majority of identified RTS was active from 2000 onward and ... Article in Journal/Newspaper Ice permafrost Siberia University of Potsdam: publish.UP Remote Sensing of Environment 268 112752
spellingShingle ddc:550
Institut für Geowissenschaften
Runge, Alexandra (Dr.)
Nitze, Ingmar (Dr.)
Grosse, Guido (Prof. Dr.)
Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr
title Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr
title_full Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr
title_fullStr Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr
title_full_unstemmed Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr
title_short Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr
title_sort remote sensing annual dynamics of rapid permafrost thaw disturbances with landtrendr
topic ddc:550
Institut für Geowissenschaften
topic_facet ddc:550
Institut für Geowissenschaften
url https://publishup.uni-potsdam.de/frontdoor/index/index/docId/61465
https://doi.org/10.1016/j.rse.2021.112752