Landsat-Based Monitoring of Landscape Dynamics in Arctic Permafrost Region

Ice-rich permafrost thaws as a result of Arctic warming, and the land surface collapses to form characteristic thermokarst landscapes. Thermokarst landscapes can bring instability to the permafrost layer, affecting regional geomorphology, hydrology, and ecology and may further lead to permafrost deg...

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Published in:Journal of Remote Sensing
Main Authors: Yating Chen, Aobo Liu, Xiao Cheng
Format: Article in Journal/Newspaper
Language:English
Published: American Association for the Advancement of Science (AAAS) 2022
Subjects:
geo
Ice
Online Access:https://doi.org/10.34133/2022/9765087
https://doaj.org/article/82d7d80d9cbe4752bc3abc8d011491ca
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:82d7d80d9cbe4752bc3abc8d011491ca 2023-05-15T14:51:07+02:00 Landsat-Based Monitoring of Landscape Dynamics in Arctic Permafrost Region Yating Chen Aobo Liu Xiao Cheng 2022-01-01 https://doi.org/10.34133/2022/9765087 https://doaj.org/article/82d7d80d9cbe4752bc3abc8d011491ca en eng American Association for the Advancement of Science (AAAS) 2694-1589 doi:10.34133/2022/9765087 https://doaj.org/article/82d7d80d9cbe4752bc3abc8d011491ca undefined Journal of Remote Sensing, Vol 2022 (2022) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2022 fttriple https://doi.org/10.34133/2022/9765087 2023-01-22T19:11:37Z Ice-rich permafrost thaws as a result of Arctic warming, and the land surface collapses to form characteristic thermokarst landscapes. Thermokarst landscapes can bring instability to the permafrost layer, affecting regional geomorphology, hydrology, and ecology and may further lead to permafrost degradation and greenhouse gas emissions. Field observations in permafrost regions are often limited, while satellite imagery provides a valuable record of land surface dynamics. Currently, continuous monitoring of regional-scale thermokarst landscape dynamics and disturbances remains a challenging task. In this study, we combined the Theil–Sen estimator with the LandTrendr algorithm to create a process flow for monitoring thermokarst landscape dynamics in Arctic permafrost region on the Google Earth Engine platform. A robust linear trend analysis of the Landsat Tasseled Cap index time series based on the Theil–Sen estimator and Mann–Kendall test showed the overall trends in greenness, wetness, and brightness in northern Alaska over the past 20 years. Six types of disturbances that occur in thermokarst landscape were demonstrated and highlighted, including long-term processes (thermokarst lake expansion, shoreline retreat, and river erosion) and short-term events (thermokarst lake drainage, wildfires, and abrupt vegetation change). These disturbances are widespread throughout the Arctic permafrost region and represent hotspots of abrupt permafrost thaw in a warming context, which would destabilize fragile thermokarst landscapes rich in soil organic carbon and affect the ecological carbon balance. The cases we present provide a basis for understanding and quantifying specific disturbance analyses that will facilitate the integration of thermokarst processes into climate models. Article in Journal/Newspaper Arctic Ice permafrost Thermokarst Alaska Unknown Arctic Kendall ENVELOPE(-59.828,-59.828,-63.497,-63.497) Journal of Remote Sensing 2022 1 17
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
Yating Chen
Aobo Liu
Xiao Cheng
Landsat-Based Monitoring of Landscape Dynamics in Arctic Permafrost Region
topic_facet geo
envir
description Ice-rich permafrost thaws as a result of Arctic warming, and the land surface collapses to form characteristic thermokarst landscapes. Thermokarst landscapes can bring instability to the permafrost layer, affecting regional geomorphology, hydrology, and ecology and may further lead to permafrost degradation and greenhouse gas emissions. Field observations in permafrost regions are often limited, while satellite imagery provides a valuable record of land surface dynamics. Currently, continuous monitoring of regional-scale thermokarst landscape dynamics and disturbances remains a challenging task. In this study, we combined the Theil–Sen estimator with the LandTrendr algorithm to create a process flow for monitoring thermokarst landscape dynamics in Arctic permafrost region on the Google Earth Engine platform. A robust linear trend analysis of the Landsat Tasseled Cap index time series based on the Theil–Sen estimator and Mann–Kendall test showed the overall trends in greenness, wetness, and brightness in northern Alaska over the past 20 years. Six types of disturbances that occur in thermokarst landscape were demonstrated and highlighted, including long-term processes (thermokarst lake expansion, shoreline retreat, and river erosion) and short-term events (thermokarst lake drainage, wildfires, and abrupt vegetation change). These disturbances are widespread throughout the Arctic permafrost region and represent hotspots of abrupt permafrost thaw in a warming context, which would destabilize fragile thermokarst landscapes rich in soil organic carbon and affect the ecological carbon balance. The cases we present provide a basis for understanding and quantifying specific disturbance analyses that will facilitate the integration of thermokarst processes into climate models.
format Article in Journal/Newspaper
author Yating Chen
Aobo Liu
Xiao Cheng
author_facet Yating Chen
Aobo Liu
Xiao Cheng
author_sort Yating Chen
title Landsat-Based Monitoring of Landscape Dynamics in Arctic Permafrost Region
title_short Landsat-Based Monitoring of Landscape Dynamics in Arctic Permafrost Region
title_full Landsat-Based Monitoring of Landscape Dynamics in Arctic Permafrost Region
title_fullStr Landsat-Based Monitoring of Landscape Dynamics in Arctic Permafrost Region
title_full_unstemmed Landsat-Based Monitoring of Landscape Dynamics in Arctic Permafrost Region
title_sort landsat-based monitoring of landscape dynamics in arctic permafrost region
publisher American Association for the Advancement of Science (AAAS)
publishDate 2022
url https://doi.org/10.34133/2022/9765087
https://doaj.org/article/82d7d80d9cbe4752bc3abc8d011491ca
long_lat ENVELOPE(-59.828,-59.828,-63.497,-63.497)
geographic Arctic
Kendall
geographic_facet Arctic
Kendall
genre Arctic
Ice
permafrost
Thermokarst
Alaska
genre_facet Arctic
Ice
permafrost
Thermokarst
Alaska
op_source Journal of Remote Sensing, Vol 2022 (2022)
op_relation 2694-1589
doi:10.34133/2022/9765087
https://doaj.org/article/82d7d80d9cbe4752bc3abc8d011491ca
op_rights undefined
op_doi https://doi.org/10.34133/2022/9765087
container_title Journal of Remote Sensing
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