Retrieving Freeze/Thaw Cycles Using Sentinel-1 Data in Eastern Nunavik (Québec, Canada)
In the terrestrial cryosphere, freeze/thaw (FT) state transitions play an important and measurable role in climatic, hydrological, ecological, and biogeochemical processes in permafrost landscapes. Active and passive microwave remote sensing has shown a principal capacity to provide effective monito...
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ftmdpi:oai:mdpi.com:/2072-4292/14/3/802/ 2023-08-20T04:09:12+02:00 Retrieving Freeze/Thaw Cycles Using Sentinel-1 Data in Eastern Nunavik (Québec, Canada) Yueli Chen Lingxiao Wang Monique Bernier Ralf Ludwig agris 2022-02-08 application/pdf https://doi.org/10.3390/rs14030802 EN eng Multidisciplinary Digital Publishing Institute Earth Observation Data https://dx.doi.org/10.3390/rs14030802 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 14; Issue 3; Pages: 802 FT state Sentinel-1 seasonal threshold approach frozen ground Text 2022 ftmdpi https://doi.org/10.3390/rs14030802 2023-08-01T04:05:58Z In the terrestrial cryosphere, freeze/thaw (FT) state transitions play an important and measurable role in climatic, hydrological, ecological, and biogeochemical processes in permafrost landscapes. Active and passive microwave remote sensing has shown a principal capacity to provide effective monitoring of landscape FT dynamics. The study presents a seasonal threshold approach, which examines the timeseries progression of remote sensing measurements relative to signatures acquired during seasonal frozen and thawed reference states. This is used to estimate the FT state from the Sentinel-1 database and applied and evaluated for the region of Eastern Nunavik (Québec, Canada). An optimization process of the threshold is included. In situ measurements from the meteorological station network were used for the validation process. Overall, acceptable estimation accuracy (>70%) was achieved in most tests; on the best-performing sites, an accuracy higher than 90% was reached. The performance of the seasonal threshold approach over the study region was further discussed with consideration of land cover, spatial heterogeneity, and soil depth. This work is dedicated to providing more accurate data to capture the spatiotemporal heterogeneity of freeze/thaw transitions and to improving our understanding of related processes in permafrost landscapes. Text permafrost Nunavik MDPI Open Access Publishing Nunavik Canada The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) Remote Sensing 14 3 802 |
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Open Polar |
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MDPI Open Access Publishing |
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language |
English |
topic |
FT state Sentinel-1 seasonal threshold approach frozen ground |
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FT state Sentinel-1 seasonal threshold approach frozen ground Yueli Chen Lingxiao Wang Monique Bernier Ralf Ludwig Retrieving Freeze/Thaw Cycles Using Sentinel-1 Data in Eastern Nunavik (Québec, Canada) |
topic_facet |
FT state Sentinel-1 seasonal threshold approach frozen ground |
description |
In the terrestrial cryosphere, freeze/thaw (FT) state transitions play an important and measurable role in climatic, hydrological, ecological, and biogeochemical processes in permafrost landscapes. Active and passive microwave remote sensing has shown a principal capacity to provide effective monitoring of landscape FT dynamics. The study presents a seasonal threshold approach, which examines the timeseries progression of remote sensing measurements relative to signatures acquired during seasonal frozen and thawed reference states. This is used to estimate the FT state from the Sentinel-1 database and applied and evaluated for the region of Eastern Nunavik (Québec, Canada). An optimization process of the threshold is included. In situ measurements from the meteorological station network were used for the validation process. Overall, acceptable estimation accuracy (>70%) was achieved in most tests; on the best-performing sites, an accuracy higher than 90% was reached. The performance of the seasonal threshold approach over the study region was further discussed with consideration of land cover, spatial heterogeneity, and soil depth. This work is dedicated to providing more accurate data to capture the spatiotemporal heterogeneity of freeze/thaw transitions and to improving our understanding of related processes in permafrost landscapes. |
format |
Text |
author |
Yueli Chen Lingxiao Wang Monique Bernier Ralf Ludwig |
author_facet |
Yueli Chen Lingxiao Wang Monique Bernier Ralf Ludwig |
author_sort |
Yueli Chen |
title |
Retrieving Freeze/Thaw Cycles Using Sentinel-1 Data in Eastern Nunavik (Québec, Canada) |
title_short |
Retrieving Freeze/Thaw Cycles Using Sentinel-1 Data in Eastern Nunavik (Québec, Canada) |
title_full |
Retrieving Freeze/Thaw Cycles Using Sentinel-1 Data in Eastern Nunavik (Québec, Canada) |
title_fullStr |
Retrieving Freeze/Thaw Cycles Using Sentinel-1 Data in Eastern Nunavik (Québec, Canada) |
title_full_unstemmed |
Retrieving Freeze/Thaw Cycles Using Sentinel-1 Data in Eastern Nunavik (Québec, Canada) |
title_sort |
retrieving freeze/thaw cycles using sentinel-1 data in eastern nunavik (québec, canada) |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
url |
https://doi.org/10.3390/rs14030802 |
op_coverage |
agris |
long_lat |
ENVELOPE(73.317,73.317,-52.983,-52.983) |
geographic |
Nunavik Canada The Sentinel |
geographic_facet |
Nunavik Canada The Sentinel |
genre |
permafrost Nunavik |
genre_facet |
permafrost Nunavik |
op_source |
Remote Sensing; Volume 14; Issue 3; Pages: 802 |
op_relation |
Earth Observation Data https://dx.doi.org/10.3390/rs14030802 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs14030802 |
container_title |
Remote Sensing |
container_volume |
14 |
container_issue |
3 |
container_start_page |
802 |
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1774722002577260544 |