Fine-Resolution Mapping of Pan-Arctic Lake Ice-Off Phenology Based on Dense Sentinel-2 Time Series Data

The timing of lake ice-off regulates biotic and abiotic processes in Arctic ecosystems. Due to the coarse spatial and temporal resolution of available satellite data, previous studies mainly focused on lake-scale investigations of melting/freezing, hindering the detection of subtle patterns within h...

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Published in:Remote Sensing
Main Authors: Chong Liu, Huabing Huang, Fengming Hui, Ziqian Zhang, Xiao Cheng
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
Subjects:
Online Access:https://doi.org/10.3390/rs13142742
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spelling ftmdpi:oai:mdpi.com:/2072-4292/13/14/2742/ 2023-08-20T04:03:34+02:00 Fine-Resolution Mapping of Pan-Arctic Lake Ice-Off Phenology Based on Dense Sentinel-2 Time Series Data Chong Liu Huabing Huang Fengming Hui Ziqian Zhang Xiao Cheng agris 2021-07-13 application/pdf https://doi.org/10.3390/rs13142742 EN eng Multidisciplinary Digital Publishing Institute Environmental Remote Sensing https://dx.doi.org/10.3390/rs13142742 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 14; Pages: 2742 arctic lake ice-off phenology dense time series Sentinel-2 Text 2021 ftmdpi https://doi.org/10.3390/rs13142742 2023-08-01T02:10:28Z The timing of lake ice-off regulates biotic and abiotic processes in Arctic ecosystems. Due to the coarse spatial and temporal resolution of available satellite data, previous studies mainly focused on lake-scale investigations of melting/freezing, hindering the detection of subtle patterns within heterogeneous landscapes. To fill this knowledge gap, we developed a new approach for fine-resolution mapping of Pan-Arctic lake ice-off phenology. Using the Scene Classification Layer data derived from dense Sentinel-2 time series images, we estimated the pixel-by-pixel ice break-up end date information by seeking the transition time point when the pixel is completely free of ice. Applying this approach on the Google Earth Engine platform, we mapped the spatial distribution of the break-up end date for 45,532 lakes across the entire Arctic (except for Greenland) for the year 2019. The evaluation results suggested that our estimations matched well with both in situ measurements and an existing lake ice phenology product. Based on the generated map, we estimated that the average break-up end time of Pan-Arctic lakes is 172 ± 13.4 (measured in day of year) for the year 2019. The mapped lake ice-off phenology exhibits a latitudinal gradient, with a linear slope of 1.02 days per degree from 55°N onward. We also demonstrated the importance of lake and landscape characteristics in affecting spring lake ice melting. The proposed approach offers new possibilities for monitoring the seasonal Arctic lake ice freeze–thaw cycle, benefiting the ongoing efforts of combating and adapting to climate change. Text Arctic Climate change Greenland MDPI Open Access Publishing Arctic Greenland Arctic Lake ENVELOPE(-130.826,-130.826,57.231,57.231) Remote Sensing 13 14 2742
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic arctic lake
ice-off phenology
dense time series
Sentinel-2
spellingShingle arctic lake
ice-off phenology
dense time series
Sentinel-2
Chong Liu
Huabing Huang
Fengming Hui
Ziqian Zhang
Xiao Cheng
Fine-Resolution Mapping of Pan-Arctic Lake Ice-Off Phenology Based on Dense Sentinel-2 Time Series Data
topic_facet arctic lake
ice-off phenology
dense time series
Sentinel-2
description The timing of lake ice-off regulates biotic and abiotic processes in Arctic ecosystems. Due to the coarse spatial and temporal resolution of available satellite data, previous studies mainly focused on lake-scale investigations of melting/freezing, hindering the detection of subtle patterns within heterogeneous landscapes. To fill this knowledge gap, we developed a new approach for fine-resolution mapping of Pan-Arctic lake ice-off phenology. Using the Scene Classification Layer data derived from dense Sentinel-2 time series images, we estimated the pixel-by-pixel ice break-up end date information by seeking the transition time point when the pixel is completely free of ice. Applying this approach on the Google Earth Engine platform, we mapped the spatial distribution of the break-up end date for 45,532 lakes across the entire Arctic (except for Greenland) for the year 2019. The evaluation results suggested that our estimations matched well with both in situ measurements and an existing lake ice phenology product. Based on the generated map, we estimated that the average break-up end time of Pan-Arctic lakes is 172 ± 13.4 (measured in day of year) for the year 2019. The mapped lake ice-off phenology exhibits a latitudinal gradient, with a linear slope of 1.02 days per degree from 55°N onward. We also demonstrated the importance of lake and landscape characteristics in affecting spring lake ice melting. The proposed approach offers new possibilities for monitoring the seasonal Arctic lake ice freeze–thaw cycle, benefiting the ongoing efforts of combating and adapting to climate change.
format Text
author Chong Liu
Huabing Huang
Fengming Hui
Ziqian Zhang
Xiao Cheng
author_facet Chong Liu
Huabing Huang
Fengming Hui
Ziqian Zhang
Xiao Cheng
author_sort Chong Liu
title Fine-Resolution Mapping of Pan-Arctic Lake Ice-Off Phenology Based on Dense Sentinel-2 Time Series Data
title_short Fine-Resolution Mapping of Pan-Arctic Lake Ice-Off Phenology Based on Dense Sentinel-2 Time Series Data
title_full Fine-Resolution Mapping of Pan-Arctic Lake Ice-Off Phenology Based on Dense Sentinel-2 Time Series Data
title_fullStr Fine-Resolution Mapping of Pan-Arctic Lake Ice-Off Phenology Based on Dense Sentinel-2 Time Series Data
title_full_unstemmed Fine-Resolution Mapping of Pan-Arctic Lake Ice-Off Phenology Based on Dense Sentinel-2 Time Series Data
title_sort fine-resolution mapping of pan-arctic lake ice-off phenology based on dense sentinel-2 time series data
publisher Multidisciplinary Digital Publishing Institute
publishDate 2021
url https://doi.org/10.3390/rs13142742
op_coverage agris
long_lat ENVELOPE(-130.826,-130.826,57.231,57.231)
geographic Arctic
Greenland
Arctic Lake
geographic_facet Arctic
Greenland
Arctic Lake
genre Arctic
Climate change
Greenland
genre_facet Arctic
Climate change
Greenland
op_source Remote Sensing; Volume 13; Issue 14; Pages: 2742
op_relation Environmental Remote Sensing
https://dx.doi.org/10.3390/rs13142742
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs13142742
container_title Remote Sensing
container_volume 13
container_issue 14
container_start_page 2742
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