Time-series of cloud-free sentinel-2 ndvi data used in mapping the onset of growth of central spitsbergen, svalbard

The Arctic is a region that is expected to experience a high increase in temperature. Changes in the timing of phenological phases, such as the onset of growth (as observed by remote sensing), is a sensitive bio-indicator of climate change. In this paper, the study area was the central part of Spits...

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Published in:Remote Sensing
Main Authors: Karlsen, Stein Rune, Stendardi, Laura, Tømmervik, Hans, Nilsen, Lennart, Arntzen, Ingar, Cooper, Elisabeth J.
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/11250/2781282
https://doi.org/10.3390/rs13153031
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spelling ftnorce:oai:norceresearch.brage.unit.no:11250/2781282 2023-05-15T15:08:14+02:00 Time-series of cloud-free sentinel-2 ndvi data used in mapping the onset of growth of central spitsbergen, svalbard Karlsen, Stein Rune Stendardi, Laura Tømmervik, Hans Nilsen, Lennart Arntzen, Ingar Cooper, Elisabeth J. 2021 application/pdf https://hdl.handle.net/11250/2781282 https://doi.org/10.3390/rs13153031 eng eng Norges forskningsråd: 269927 EU/869471 Norsk romsenter: NoSa Remote Sensing. 2021, 13 (15), 1-14. urn:issn:2072-4292 https://hdl.handle.net/11250/2781282 https://doi.org/10.3390/rs13153031 cristin:1928193 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no © 2021, Authors CC-BY Remote Sensing 13 15 1-14 Peer reviewed Journal article 2021 ftnorce https://doi.org/10.3390/rs13153031 2022-10-13T05:50:39Z The Arctic is a region that is expected to experience a high increase in temperature. Changes in the timing of phenological phases, such as the onset of growth (as observed by remote sensing), is a sensitive bio-indicator of climate change. In this paper, the study area was the central part of Spitsbergen, Svalbard, located between 77.28°N and 78.44°N. The goals of this study were: (1) to prepare, analyze and present a cloud-free time-series of daily Sentinel-2 NDVI datasets for the 2016 to 2019 seasons, and (2) to demonstrate the use of the dataset in mapping the onset of growth. Due to a short and intense period with greening-up and frequent cloud cover, all the cloud-free Sentinel-2 data were used. The onset of growth was then mapped by a NDVI threshold method, which showed significant correlation (r2 = 0.47, n = 38, p < 0.0001) with ground-based phenocam observation of the onset of growth in seven vegetation types. However, large bias was found between the Sentinel-2 NDVI-based mapped onset of growth and the phenocam-based onset of growth in a moss tundra, which indicates that the data in these vegetation types must be interpreted with care. In 2018, the onset of growth was about 10 days earlier compared to 2017. publishedVersion Article in Journal/Newspaper Arctic Climate change Svalbard Tundra Spitsbergen NORCE vitenarkiv (Norwegian Research Centre) Arctic Svalbard The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) Remote Sensing 13 15 3031
institution Open Polar
collection NORCE vitenarkiv (Norwegian Research Centre)
op_collection_id ftnorce
language English
description The Arctic is a region that is expected to experience a high increase in temperature. Changes in the timing of phenological phases, such as the onset of growth (as observed by remote sensing), is a sensitive bio-indicator of climate change. In this paper, the study area was the central part of Spitsbergen, Svalbard, located between 77.28°N and 78.44°N. The goals of this study were: (1) to prepare, analyze and present a cloud-free time-series of daily Sentinel-2 NDVI datasets for the 2016 to 2019 seasons, and (2) to demonstrate the use of the dataset in mapping the onset of growth. Due to a short and intense period with greening-up and frequent cloud cover, all the cloud-free Sentinel-2 data were used. The onset of growth was then mapped by a NDVI threshold method, which showed significant correlation (r2 = 0.47, n = 38, p < 0.0001) with ground-based phenocam observation of the onset of growth in seven vegetation types. However, large bias was found between the Sentinel-2 NDVI-based mapped onset of growth and the phenocam-based onset of growth in a moss tundra, which indicates that the data in these vegetation types must be interpreted with care. In 2018, the onset of growth was about 10 days earlier compared to 2017. publishedVersion
format Article in Journal/Newspaper
author Karlsen, Stein Rune
Stendardi, Laura
Tømmervik, Hans
Nilsen, Lennart
Arntzen, Ingar
Cooper, Elisabeth J.
spellingShingle Karlsen, Stein Rune
Stendardi, Laura
Tømmervik, Hans
Nilsen, Lennart
Arntzen, Ingar
Cooper, Elisabeth J.
Time-series of cloud-free sentinel-2 ndvi data used in mapping the onset of growth of central spitsbergen, svalbard
author_facet Karlsen, Stein Rune
Stendardi, Laura
Tømmervik, Hans
Nilsen, Lennart
Arntzen, Ingar
Cooper, Elisabeth J.
author_sort Karlsen, Stein Rune
title Time-series of cloud-free sentinel-2 ndvi data used in mapping the onset of growth of central spitsbergen, svalbard
title_short Time-series of cloud-free sentinel-2 ndvi data used in mapping the onset of growth of central spitsbergen, svalbard
title_full Time-series of cloud-free sentinel-2 ndvi data used in mapping the onset of growth of central spitsbergen, svalbard
title_fullStr Time-series of cloud-free sentinel-2 ndvi data used in mapping the onset of growth of central spitsbergen, svalbard
title_full_unstemmed Time-series of cloud-free sentinel-2 ndvi data used in mapping the onset of growth of central spitsbergen, svalbard
title_sort time-series of cloud-free sentinel-2 ndvi data used in mapping the onset of growth of central spitsbergen, svalbard
publishDate 2021
url https://hdl.handle.net/11250/2781282
https://doi.org/10.3390/rs13153031
long_lat ENVELOPE(73.317,73.317,-52.983,-52.983)
geographic Arctic
Svalbard
The Sentinel
geographic_facet Arctic
Svalbard
The Sentinel
genre Arctic
Climate change
Svalbard
Tundra
Spitsbergen
genre_facet Arctic
Climate change
Svalbard
Tundra
Spitsbergen
op_source Remote Sensing
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op_relation Norges forskningsråd: 269927
EU/869471
Norsk romsenter: NoSa
Remote Sensing. 2021, 13 (15), 1-14.
urn:issn:2072-4292
https://hdl.handle.net/11250/2781282
https://doi.org/10.3390/rs13153031
cristin:1928193
op_rights Navngivelse 4.0 Internasjonal
http://creativecommons.org/licenses/by/4.0/deed.no
© 2021, Authors
op_rightsnorm CC-BY
op_doi https://doi.org/10.3390/rs13153031
container_title Remote Sensing
container_volume 13
container_issue 15
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