Annual dynamics of rapid permafrost disturbances in Northeast Siberia

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. Abrupt permafrost disturbances, such as retrogressive thaw slumps (RTS), expand by several meters each year a...

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Main Authors: Runge, Alexandra, Nitze, Ingmar, Grosse, Guido
Format: Dataset
Language:English
Published: PANGAEA 2022
Subjects:
Ice
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.941479
https://doi.org/10.1594/PANGAEA.941479
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.941479
record_format openpolar
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.941479 2023-05-15T16:37:06+02:00 Annual dynamics of rapid permafrost disturbances in Northeast Siberia Runge, Alexandra Nitze, Ingmar Grosse, Guido MEDIAN LATITUDE: 67.093045 * MEDIAN LONGITUDE: 129.162185 * SOUTH-BOUND LATITUDE: 59.994431 * WEST-BOUND LONGITUDE: 78.977604 * NORTH-BOUND LATITUDE: 77.216511 * EAST-BOUND LONGITUDE: -170.326411 * MINIMUM ORDINAL NUMBER: 0 * MAXIMUM ORDINAL NUMBER: 50894 2022-02-25 text/tab-separated-values, 1373288 data points https://doi.pangaea.de/10.1594/PANGAEA.941479 https://doi.org/10.1594/PANGAEA.941479 en eng PANGAEA Runge, Alexandra; Nitze, Ingmar; Grosse, Guido (2022): Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr. Remote Sensing of Environment, 268, 112752, https://doi.org/10.1016/j.rse.2021.112752 Shapefiles of rapid permafrost disturbances in Northeast Siberia (URI: https://download.pangaea.de/reference/112161/attachments/RTS_NESiberia.zip) https://doi.pangaea.de/10.1594/PANGAEA.941479 https://doi.org/10.1594/PANGAEA.941479 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess CC-BY Area in hectare Carbon in Permafrost / Kohlenstoff im Permafrost CCI Permafrost Description ESA_CCI_Permafrost_CCN2 ESA Data User Element - GlobPermafrost ESA-DUE-GlobPermafrost Identification KoPF LAND Landsat LATITUDE LONGITUDE NE_Siberia Number of pixels Number of years ORDINAL NUMBER permafrost Permafrost area retrogressive thaw slump affected permafrost disturbance permafrost thaw Retrogressive Thaw Slumps Sampling/measurement on land Sentinel-2 Siberia Time coverage Time series Dataset 2022 ftpangaea https://doi.org/10.1594/PANGAEA.941479 https://doi.org/10.1016/j.rse.2021.112752 2023-01-20T09:15:45Z 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. Abrupt permafrost disturbances, such as retrogressive thaw slumps (RTS), expand by several meters each year and lead to an increased soil organic carbon release. We applied the disturbance detection algorithm LandTrendr for automated large-scale RTS mapping and high temporal thaw dynamic assessment to Northeast Siberia (8.1 × 10^6km^2). 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: 0.61). Ground truth data for calibration and validation of the workflow was collected from 9 known RTS cluster sites using very high-resolution RapidEye and PlanetScope imagery. The data set presents the results of the first automated detection and assessment of RTS and their temporal dynamics at large-scale for 2001–2019. We identified 50,895 RTS and a steady increase in RTS-affected area from 2001 to 2019 across Northeast 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, focus sites show spatio-temporal variability in their annual RTS dynamics, with alternating periods of increased and decreased RTS development, indicating a close relationship to thaw drivers. The detected increase in RTS dynamics suggests advancing permafrost thaw and underlines the importance of assessing abrupt permafrost disturbances with high spatial and temporal resolution at large-scales. This consistenly obtained disturbance product will help to parametrise regional and global climate change models. Dataset Ice permafrost Siberia PANGAEA - Data Publisher for Earth & Environmental Science ENVELOPE(78.977604,-170.326411,77.216511,59.994431)
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic Area in hectare
Carbon in Permafrost / Kohlenstoff im Permafrost
CCI Permafrost
Description
ESA_CCI_Permafrost_CCN2
ESA Data User Element - GlobPermafrost
ESA-DUE-GlobPermafrost
Identification
KoPF
LAND
Landsat
LATITUDE
LONGITUDE
NE_Siberia
Number of pixels
Number of years
ORDINAL NUMBER
permafrost
Permafrost area
retrogressive thaw slump affected
permafrost disturbance
permafrost thaw
Retrogressive Thaw Slumps
Sampling/measurement on land
Sentinel-2
Siberia
Time coverage
Time series
spellingShingle Area in hectare
Carbon in Permafrost / Kohlenstoff im Permafrost
CCI Permafrost
Description
ESA_CCI_Permafrost_CCN2
ESA Data User Element - GlobPermafrost
ESA-DUE-GlobPermafrost
Identification
KoPF
LAND
Landsat
LATITUDE
LONGITUDE
NE_Siberia
Number of pixels
Number of years
ORDINAL NUMBER
permafrost
Permafrost area
retrogressive thaw slump affected
permafrost disturbance
permafrost thaw
Retrogressive Thaw Slumps
Sampling/measurement on land
Sentinel-2
Siberia
Time coverage
Time series
Runge, Alexandra
Nitze, Ingmar
Grosse, Guido
Annual dynamics of rapid permafrost disturbances in Northeast Siberia
topic_facet Area in hectare
Carbon in Permafrost / Kohlenstoff im Permafrost
CCI Permafrost
Description
ESA_CCI_Permafrost_CCN2
ESA Data User Element - GlobPermafrost
ESA-DUE-GlobPermafrost
Identification
KoPF
LAND
Landsat
LATITUDE
LONGITUDE
NE_Siberia
Number of pixels
Number of years
ORDINAL NUMBER
permafrost
Permafrost area
retrogressive thaw slump affected
permafrost disturbance
permafrost thaw
Retrogressive Thaw Slumps
Sampling/measurement on land
Sentinel-2
Siberia
Time coverage
Time series
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. Abrupt permafrost disturbances, such as retrogressive thaw slumps (RTS), expand by several meters each year and lead to an increased soil organic carbon release. We applied the disturbance detection algorithm LandTrendr for automated large-scale RTS mapping and high temporal thaw dynamic assessment to Northeast Siberia (8.1 × 10^6km^2). 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: 0.61). Ground truth data for calibration and validation of the workflow was collected from 9 known RTS cluster sites using very high-resolution RapidEye and PlanetScope imagery. The data set presents the results of the first automated detection and assessment of RTS and their temporal dynamics at large-scale for 2001–2019. We identified 50,895 RTS and a steady increase in RTS-affected area from 2001 to 2019 across Northeast 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, focus sites show spatio-temporal variability in their annual RTS dynamics, with alternating periods of increased and decreased RTS development, indicating a close relationship to thaw drivers. The detected increase in RTS dynamics suggests advancing permafrost thaw and underlines the importance of assessing abrupt permafrost disturbances with high spatial and temporal resolution at large-scales. This consistenly obtained disturbance product will help to parametrise regional and global climate change models.
format Dataset
author Runge, Alexandra
Nitze, Ingmar
Grosse, Guido
author_facet Runge, Alexandra
Nitze, Ingmar
Grosse, Guido
author_sort Runge, Alexandra
title Annual dynamics of rapid permafrost disturbances in Northeast Siberia
title_short Annual dynamics of rapid permafrost disturbances in Northeast Siberia
title_full Annual dynamics of rapid permafrost disturbances in Northeast Siberia
title_fullStr Annual dynamics of rapid permafrost disturbances in Northeast Siberia
title_full_unstemmed Annual dynamics of rapid permafrost disturbances in Northeast Siberia
title_sort annual dynamics of rapid permafrost disturbances in northeast siberia
publisher PANGAEA
publishDate 2022
url https://doi.pangaea.de/10.1594/PANGAEA.941479
https://doi.org/10.1594/PANGAEA.941479
op_coverage MEDIAN LATITUDE: 67.093045 * MEDIAN LONGITUDE: 129.162185 * SOUTH-BOUND LATITUDE: 59.994431 * WEST-BOUND LONGITUDE: 78.977604 * NORTH-BOUND LATITUDE: 77.216511 * EAST-BOUND LONGITUDE: -170.326411 * MINIMUM ORDINAL NUMBER: 0 * MAXIMUM ORDINAL NUMBER: 50894
long_lat ENVELOPE(78.977604,-170.326411,77.216511,59.994431)
genre Ice
permafrost
Siberia
genre_facet Ice
permafrost
Siberia
op_relation Runge, Alexandra; Nitze, Ingmar; Grosse, Guido (2022): Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr. Remote Sensing of Environment, 268, 112752, https://doi.org/10.1016/j.rse.2021.112752
Shapefiles of rapid permafrost disturbances in Northeast Siberia (URI: https://download.pangaea.de/reference/112161/attachments/RTS_NESiberia.zip)
https://doi.pangaea.de/10.1594/PANGAEA.941479
https://doi.org/10.1594/PANGAEA.941479
op_rights CC-BY-4.0: Creative Commons Attribution 4.0 International
Access constraints: unrestricted
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.1594/PANGAEA.941479
https://doi.org/10.1016/j.rse.2021.112752
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