Identification of land surface temperature and albedo trends in AVHRR Pathfinder data from 1982 to 2005 for northern Siberia
The arctic regions are highly vulnerable to climate change. Climate models predict an increase in global mean temperatures for the upcoming century. The arctic environment is subject to significant changes of the land surface. Especially the changes of vegetation pattern and the phenological cycle i...
Published in: | International Journal of Remote Sensing |
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Online Access: | https://research.wur.nl/en/publications/identification-of-land-surface-temperature-and-albedo-trends-in-a https://doi.org/10.1080/01431161.2013.779760 |
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ftunivwagenin:oai:library.wur.nl:wurpubs/439123 2024-02-04T09:52:25+01:00 Identification of land surface temperature and albedo trends in AVHRR Pathfinder data from 1982 to 2005 for northern Siberia Urban, M. Forkel, M. Schmullius, C. Hese, S. Hüttich, C. Herold, M. 2013 application/pdf https://research.wur.nl/en/publications/identification-of-land-surface-temperature-and-albedo-trends-in-a https://doi.org/10.1080/01431161.2013.779760 en eng https://edepot.wur.nl/257516 https://research.wur.nl/en/publications/identification-of-land-surface-temperature-and-albedo-trends-in-a doi:10.1080/01431161.2013.779760 info:eu-repo/semantics/restrictedAccess Wageningen University & Research International Journal of Remote Sensing 34 (2013) 12 ISSN: 0143-1161 dynamics growth impacts orbital drift recent climate-change shrub expansion tundra vegetation info:eu-repo/semantics/article Article/Letter to editor info:eu-repo/semantics/publishedVersion 2013 ftunivwagenin https://doi.org/10.1080/01431161.2013.779760 2024-01-10T23:20:30Z The arctic regions are highly vulnerable to climate change. Climate models predict an increase in global mean temperatures for the upcoming century. The arctic environment is subject to significant changes of the land surface. Especially the changes of vegetation pattern and the phenological cycle in the taiga–tundra transition area are of high importance in climate change research. This study focuses on time series and trend analysis of land surface temperature, albedo, snow water equivalent, and normalized difference vegetation index information in the time period of 1982–2005 for northern Siberia. The findings show strong dependencies between these parameters and their inter-annual dynamics, which indicate changes in vegetation growing period. We found a strong negative correlation between land surface temperature and albedo conditions for the beginning (60–90%) of the growing season for selected hot spot trend regions in northern Siberia Article in Journal/Newspaper albedo Arctic Climate change taiga Tundra Siberia Wageningen UR (University & Research Centre): Digital Library Arctic International Journal of Remote Sensing 34 12 4491 4507 |
institution |
Open Polar |
collection |
Wageningen UR (University & Research Centre): Digital Library |
op_collection_id |
ftunivwagenin |
language |
English |
topic |
dynamics growth impacts orbital drift recent climate-change shrub expansion tundra vegetation |
spellingShingle |
dynamics growth impacts orbital drift recent climate-change shrub expansion tundra vegetation Urban, M. Forkel, M. Schmullius, C. Hese, S. Hüttich, C. Herold, M. Identification of land surface temperature and albedo trends in AVHRR Pathfinder data from 1982 to 2005 for northern Siberia |
topic_facet |
dynamics growth impacts orbital drift recent climate-change shrub expansion tundra vegetation |
description |
The arctic regions are highly vulnerable to climate change. Climate models predict an increase in global mean temperatures for the upcoming century. The arctic environment is subject to significant changes of the land surface. Especially the changes of vegetation pattern and the phenological cycle in the taiga–tundra transition area are of high importance in climate change research. This study focuses on time series and trend analysis of land surface temperature, albedo, snow water equivalent, and normalized difference vegetation index information in the time period of 1982–2005 for northern Siberia. The findings show strong dependencies between these parameters and their inter-annual dynamics, which indicate changes in vegetation growing period. We found a strong negative correlation between land surface temperature and albedo conditions for the beginning (60–90%) of the growing season for selected hot spot trend regions in northern Siberia |
format |
Article in Journal/Newspaper |
author |
Urban, M. Forkel, M. Schmullius, C. Hese, S. Hüttich, C. Herold, M. |
author_facet |
Urban, M. Forkel, M. Schmullius, C. Hese, S. Hüttich, C. Herold, M. |
author_sort |
Urban, M. |
title |
Identification of land surface temperature and albedo trends in AVHRR Pathfinder data from 1982 to 2005 for northern Siberia |
title_short |
Identification of land surface temperature and albedo trends in AVHRR Pathfinder data from 1982 to 2005 for northern Siberia |
title_full |
Identification of land surface temperature and albedo trends in AVHRR Pathfinder data from 1982 to 2005 for northern Siberia |
title_fullStr |
Identification of land surface temperature and albedo trends in AVHRR Pathfinder data from 1982 to 2005 for northern Siberia |
title_full_unstemmed |
Identification of land surface temperature and albedo trends in AVHRR Pathfinder data from 1982 to 2005 for northern Siberia |
title_sort |
identification of land surface temperature and albedo trends in avhrr pathfinder data from 1982 to 2005 for northern siberia |
publishDate |
2013 |
url |
https://research.wur.nl/en/publications/identification-of-land-surface-temperature-and-albedo-trends-in-a https://doi.org/10.1080/01431161.2013.779760 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
albedo Arctic Climate change taiga Tundra Siberia |
genre_facet |
albedo Arctic Climate change taiga Tundra Siberia |
op_source |
International Journal of Remote Sensing 34 (2013) 12 ISSN: 0143-1161 |
op_relation |
https://edepot.wur.nl/257516 https://research.wur.nl/en/publications/identification-of-land-surface-temperature-and-albedo-trends-in-a doi:10.1080/01431161.2013.779760 |
op_rights |
info:eu-repo/semantics/restrictedAccess Wageningen University & Research |
op_doi |
https://doi.org/10.1080/01431161.2013.779760 |
container_title |
International Journal of Remote Sensing |
container_volume |
34 |
container_issue |
12 |
container_start_page |
4491 |
op_container_end_page |
4507 |
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1789974464309493760 |