Remote sensing of lake ice phenology in Alaska

The timing of lake ice breakup and freezeup are important indicators of climate change in Arctic and boreal regions because they respond rapidly and directly to variations in climate conditions. Despite its importance, lake ice phenology remains poorly documented in most lakes of Alaska. To fill thi...

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Published in:Environmental Research Letters
Main Authors: Shuai Zhang, Tamlin M Pavelsky, Christopher D Arp, Xiao Yang
Format: Article in Journal/Newspaper
Language:English
Published: IOP Publishing 2021
Subjects:
Q
Online Access:https://doi.org/10.1088/1748-9326/abf965
https://doaj.org/article/27c14b78a32b49359515356f8f35a4a9
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spelling ftdoajarticles:oai:doaj.org/article:27c14b78a32b49359515356f8f35a4a9 2023-09-05T13:17:15+02:00 Remote sensing of lake ice phenology in Alaska Shuai Zhang Tamlin M Pavelsky Christopher D Arp Xiao Yang 2021-01-01T00:00:00Z https://doi.org/10.1088/1748-9326/abf965 https://doaj.org/article/27c14b78a32b49359515356f8f35a4a9 EN eng IOP Publishing https://doi.org/10.1088/1748-9326/abf965 https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/abf965 1748-9326 https://doaj.org/article/27c14b78a32b49359515356f8f35a4a9 Environmental Research Letters, Vol 16, Iss 6, p 064007 (2021) remote sensing lake ice phenology MODIS Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 article 2021 ftdoajarticles https://doi.org/10.1088/1748-9326/abf965 2023-08-13T00:37:11Z The timing of lake ice breakup and freezeup are important indicators of climate change in Arctic and boreal regions because they respond rapidly and directly to variations in climate conditions. Despite its importance, lake ice phenology remains poorly documented in most lakes of Alaska. To fill this data gap, we constructed a remote sensing-derived lake ice phenology database covering all lakes in Alaska larger than 1 km ^2 ( n = 4241) over the period 2000–2019. This dataset, which includes lake ice on/off dates and lake ice duration, was based on an automatic method using daily moderate resolution imaging spectroradiomenter (MODIS) imagery to measure lake ice fraction. This method extracts lake ice pixels from MODIS images using a dynamic threshold that was calibrated against Landsat Fmask. Different filters that account for clouds, polar night, and other sources of error were applied to increase the accuracy of lake ice phenology estimation. Trend analysis shows earlier breakup (−5.5 d decade ^−1 ) for 440 lakes and later breakup (7.5 d decade ^−1 ) for four lakes ( p < 0.05). A total of 289 lakes had significant trends toward later freezeup (2.9 d decade ^−1 ) and 11 lakes towards earlier freezeup (−3.3 d decade ^−1 ). Most lakes with significant trends are north of the Brooks Range. This dataset can contribute to increased understanding of interactions between lake processes and climate change, and it supports the study of biogeochemical, limnological and ecological regimes in Alaska and pan-Arctic regions. Article in Journal/Newspaper Arctic Brooks Range Climate change polar night Alaska Directory of Open Access Journals: DOAJ Articles Arctic Four Lakes ENVELOPE(-126.826,-126.826,54.858,54.858) Environmental Research Letters 16 6 064007
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic remote sensing
lake ice phenology
MODIS
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Science
Q
Physics
QC1-999
spellingShingle remote sensing
lake ice phenology
MODIS
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Science
Q
Physics
QC1-999
Shuai Zhang
Tamlin M Pavelsky
Christopher D Arp
Xiao Yang
Remote sensing of lake ice phenology in Alaska
topic_facet remote sensing
lake ice phenology
MODIS
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Science
Q
Physics
QC1-999
description The timing of lake ice breakup and freezeup are important indicators of climate change in Arctic and boreal regions because they respond rapidly and directly to variations in climate conditions. Despite its importance, lake ice phenology remains poorly documented in most lakes of Alaska. To fill this data gap, we constructed a remote sensing-derived lake ice phenology database covering all lakes in Alaska larger than 1 km ^2 ( n = 4241) over the period 2000–2019. This dataset, which includes lake ice on/off dates and lake ice duration, was based on an automatic method using daily moderate resolution imaging spectroradiomenter (MODIS) imagery to measure lake ice fraction. This method extracts lake ice pixels from MODIS images using a dynamic threshold that was calibrated against Landsat Fmask. Different filters that account for clouds, polar night, and other sources of error were applied to increase the accuracy of lake ice phenology estimation. Trend analysis shows earlier breakup (−5.5 d decade ^−1 ) for 440 lakes and later breakup (7.5 d decade ^−1 ) for four lakes ( p < 0.05). A total of 289 lakes had significant trends toward later freezeup (2.9 d decade ^−1 ) and 11 lakes towards earlier freezeup (−3.3 d decade ^−1 ). Most lakes with significant trends are north of the Brooks Range. This dataset can contribute to increased understanding of interactions between lake processes and climate change, and it supports the study of biogeochemical, limnological and ecological regimes in Alaska and pan-Arctic regions.
format Article in Journal/Newspaper
author Shuai Zhang
Tamlin M Pavelsky
Christopher D Arp
Xiao Yang
author_facet Shuai Zhang
Tamlin M Pavelsky
Christopher D Arp
Xiao Yang
author_sort Shuai Zhang
title Remote sensing of lake ice phenology in Alaska
title_short Remote sensing of lake ice phenology in Alaska
title_full Remote sensing of lake ice phenology in Alaska
title_fullStr Remote sensing of lake ice phenology in Alaska
title_full_unstemmed Remote sensing of lake ice phenology in Alaska
title_sort remote sensing of lake ice phenology in alaska
publisher IOP Publishing
publishDate 2021
url https://doi.org/10.1088/1748-9326/abf965
https://doaj.org/article/27c14b78a32b49359515356f8f35a4a9
long_lat ENVELOPE(-126.826,-126.826,54.858,54.858)
geographic Arctic
Four Lakes
geographic_facet Arctic
Four Lakes
genre Arctic
Brooks Range
Climate change
polar night
Alaska
genre_facet Arctic
Brooks Range
Climate change
polar night
Alaska
op_source Environmental Research Letters, Vol 16, Iss 6, p 064007 (2021)
op_relation https://doi.org/10.1088/1748-9326/abf965
https://doaj.org/toc/1748-9326
doi:10.1088/1748-9326/abf965
1748-9326
https://doaj.org/article/27c14b78a32b49359515356f8f35a4a9
op_doi https://doi.org/10.1088/1748-9326/abf965
container_title Environmental Research Letters
container_volume 16
container_issue 6
container_start_page 064007
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