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: Chen, Yating, Liu, Aobo, Cheng, Xiao
Other Authors: National Key Research and Development Program of China, National Outstanding Youth Grant
Format: Article in Journal/Newspaper
Language:English
Published: American Association for the Advancement of Science (AAAS) 2022
Subjects:
Ice
Online Access:http://dx.doi.org/10.34133/2022/9765087
http://downloads.spj.sciencemag.org/remotesensing/2022/9765087.pdf
https://spj.science.org/doi/pdf/10.34133/2022/9765087
id craaas:10.34133/2022/9765087
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spelling craaas:10.34133/2022/9765087 2024-06-23T07:49:42+00:00 Landsat-Based Monitoring of Landscape Dynamics in Arctic Permafrost Region Chen, Yating Liu, Aobo Cheng, Xiao National Key Research and Development Program of China National Outstanding Youth Grant 2022 http://dx.doi.org/10.34133/2022/9765087 http://downloads.spj.sciencemag.org/remotesensing/2022/9765087.pdf https://spj.science.org/doi/pdf/10.34133/2022/9765087 en eng American Association for the Advancement of Science (AAAS) http://creativecommons.org/licenses/by/4.0/ Journal of Remote Sensing volume 2022 ISSN 2694-1589 journal-article 2022 craaas https://doi.org/10.34133/2022/9765087 2024-05-30T08:05:52Z 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 AAAS Resource Center (American Association for the Advancement of Science) Arctic Kendall ENVELOPE(-59.828,-59.828,-63.497,-63.497) Journal of Remote Sensing 2022 1 17
institution Open Polar
collection AAAS Resource Center (American Association for the Advancement of Science)
op_collection_id craaas
language English
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.
author2 National Key Research and Development Program of China
National Outstanding Youth Grant
format Article in Journal/Newspaper
author Chen, Yating
Liu, Aobo
Cheng, Xiao
spellingShingle Chen, Yating
Liu, Aobo
Cheng, Xiao
Landsat-Based Monitoring of Landscape Dynamics in Arctic Permafrost Region
author_facet Chen, Yating
Liu, Aobo
Cheng, Xiao
author_sort Chen, Yating
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 http://dx.doi.org/10.34133/2022/9765087
http://downloads.spj.sciencemag.org/remotesensing/2022/9765087.pdf
https://spj.science.org/doi/pdf/10.34133/2022/9765087
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
volume 2022
ISSN 2694-1589
op_rights http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.34133/2022/9765087
container_title Journal of Remote Sensing
container_volume 2022
container_start_page 1
op_container_end_page 17
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