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...

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Published in:International Journal of Remote Sensing
Main Authors: Urban, M., Forkel, M., Schmullius, C., Hese, S., Hüttich, C., Herold, M.
Format: Article in Journal/Newspaper
Language:English
Published: 2013
Subjects:
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
id ftunivwagenin:oai:library.wur.nl:wurpubs/439123
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spelling 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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