The northernmost hyperspectral FLoX sensor dataset for monitoring of high-Arctic tundra vegetation phenology and Sun-Induced Fluorescence (SIF)
A hyperspectral field sensor (FloX) was installed in Adventdalen (Svalbard, Norway) in 2019 as part of the Svalbard Integrated Arctic Earth Observing System (SIOS) for monitoring vegetation phenology and Sun-Induced Chlorophyll Fluorescence (SIF) of high-Arctic tundra. This northernmost hyperspectra...
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ftpubmed:oai:pubmedcentral.nih.gov:10520339 2023-10-29T02:29:44+01:00 The northernmost hyperspectral FLoX sensor dataset for monitoring of high-Arctic tundra vegetation phenology and Sun-Induced Fluorescence (SIF) Tømmervik, Hans Julitta, Tommaso Nilsen, Lennart Park, Taejin Burkart, Andreas Ostapowicz, Katarzyna Karlsen, Stein Rune Parmentier, Frans-Jan Pirk, Norbert Bjerke, Jarle W. 2023-09-16 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520339/ http://www.ncbi.nlm.nih.gov/pubmed/37767128 https://doi.org/10.1016/j.dib.2023.109581 en eng Elsevier http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520339/ http://www.ncbi.nlm.nih.gov/pubmed/37767128 http://dx.doi.org/10.1016/j.dib.2023.109581 © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Data Brief Data Article Text 2023 ftpubmed https://doi.org/10.1016/j.dib.2023.109581 2023-10-01T00:51:45Z A hyperspectral field sensor (FloX) was installed in Adventdalen (Svalbard, Norway) in 2019 as part of the Svalbard Integrated Arctic Earth Observing System (SIOS) for monitoring vegetation phenology and Sun-Induced Chlorophyll Fluorescence (SIF) of high-Arctic tundra. This northernmost hyperspectral sensor is located within the footprint of a tower for long-term eddy covariance flux measurements and is an integral part of an automatic environmental monitoring system on Svalbard (AsMovEn), which is also a part of SIOS. One of the measurements that this hyperspectral instrument can capture is SIF, which serves as a proxy of gross primary production (GPP) and carbon flux rates. This paper presents an overview of the data collection and processing, and the 4-year (2019–2021) datasets in processed format are available at: https://thredds.met.no/thredds/catalog/arcticdata/infranor/NINA-FLOX/raw/catalog.html associated with https://doi.org/10.21343/ZDM7-JD72 under a CC-BY-4.0 license. Results obtained from the first three years in operation showed interannual variation in SIF and other spectral vegetation indices including MERIS Terrestrial Chlorophyll Index (MTCI), EVI and NDVI. Synergistic uses of the measurements from this northernmost hyperspectral FLoX sensor, in conjunction with other monitoring systems, will advance our understanding of how tundra vegetation responds to changing climate and the resulting implications on carbon and energy balance. Text Adventdalen Arctic Svalbard Tundra PubMed Central (PMC) Data in Brief 50 109581 |
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Data Article Tømmervik, Hans Julitta, Tommaso Nilsen, Lennart Park, Taejin Burkart, Andreas Ostapowicz, Katarzyna Karlsen, Stein Rune Parmentier, Frans-Jan Pirk, Norbert Bjerke, Jarle W. The northernmost hyperspectral FLoX sensor dataset for monitoring of high-Arctic tundra vegetation phenology and Sun-Induced Fluorescence (SIF) |
topic_facet |
Data Article |
description |
A hyperspectral field sensor (FloX) was installed in Adventdalen (Svalbard, Norway) in 2019 as part of the Svalbard Integrated Arctic Earth Observing System (SIOS) for monitoring vegetation phenology and Sun-Induced Chlorophyll Fluorescence (SIF) of high-Arctic tundra. This northernmost hyperspectral sensor is located within the footprint of a tower for long-term eddy covariance flux measurements and is an integral part of an automatic environmental monitoring system on Svalbard (AsMovEn), which is also a part of SIOS. One of the measurements that this hyperspectral instrument can capture is SIF, which serves as a proxy of gross primary production (GPP) and carbon flux rates. This paper presents an overview of the data collection and processing, and the 4-year (2019–2021) datasets in processed format are available at: https://thredds.met.no/thredds/catalog/arcticdata/infranor/NINA-FLOX/raw/catalog.html associated with https://doi.org/10.21343/ZDM7-JD72 under a CC-BY-4.0 license. Results obtained from the first three years in operation showed interannual variation in SIF and other spectral vegetation indices including MERIS Terrestrial Chlorophyll Index (MTCI), EVI and NDVI. Synergistic uses of the measurements from this northernmost hyperspectral FLoX sensor, in conjunction with other monitoring systems, will advance our understanding of how tundra vegetation responds to changing climate and the resulting implications on carbon and energy balance. |
format |
Text |
author |
Tømmervik, Hans Julitta, Tommaso Nilsen, Lennart Park, Taejin Burkart, Andreas Ostapowicz, Katarzyna Karlsen, Stein Rune Parmentier, Frans-Jan Pirk, Norbert Bjerke, Jarle W. |
author_facet |
Tømmervik, Hans Julitta, Tommaso Nilsen, Lennart Park, Taejin Burkart, Andreas Ostapowicz, Katarzyna Karlsen, Stein Rune Parmentier, Frans-Jan Pirk, Norbert Bjerke, Jarle W. |
author_sort |
Tømmervik, Hans |
title |
The northernmost hyperspectral FLoX sensor dataset for monitoring of high-Arctic tundra vegetation phenology and Sun-Induced Fluorescence (SIF) |
title_short |
The northernmost hyperspectral FLoX sensor dataset for monitoring of high-Arctic tundra vegetation phenology and Sun-Induced Fluorescence (SIF) |
title_full |
The northernmost hyperspectral FLoX sensor dataset for monitoring of high-Arctic tundra vegetation phenology and Sun-Induced Fluorescence (SIF) |
title_fullStr |
The northernmost hyperspectral FLoX sensor dataset for monitoring of high-Arctic tundra vegetation phenology and Sun-Induced Fluorescence (SIF) |
title_full_unstemmed |
The northernmost hyperspectral FLoX sensor dataset for monitoring of high-Arctic tundra vegetation phenology and Sun-Induced Fluorescence (SIF) |
title_sort |
northernmost hyperspectral flox sensor dataset for monitoring of high-arctic tundra vegetation phenology and sun-induced fluorescence (sif) |
publisher |
Elsevier |
publishDate |
2023 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520339/ http://www.ncbi.nlm.nih.gov/pubmed/37767128 https://doi.org/10.1016/j.dib.2023.109581 |
genre |
Adventdalen Arctic Svalbard Tundra |
genre_facet |
Adventdalen Arctic Svalbard Tundra |
op_source |
Data Brief |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520339/ http://www.ncbi.nlm.nih.gov/pubmed/37767128 http://dx.doi.org/10.1016/j.dib.2023.109581 |
op_rights |
© 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
op_doi |
https://doi.org/10.1016/j.dib.2023.109581 |
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Data in Brief |
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109581 |
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