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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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 |
_version_ |
1776198493895917568 |