UAV-based NDVI data of four Arctic tundra environments (Abisko region) at summer vegetation peak for 2018 and 2019 ...
Unmanned Aerial Vehicle (UAV) data were collected using an eBee fixed-wing mapping drone (senseFly, Switzerland) with a Sequoia multi-spectral (Parrot, France) camera sensor at four study areas in the Torneträsk region, northern Sweden. The areas have an extent of 15–21 ha (~350 m × ~500 m). The set...
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Online Access: | https://dx.doi.org/10.1594/pangaea.938052 https://doi.pangaea.de/10.1594/PANGAEA.938052 |
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ftdatacite:10.1594/pangaea.938052 2024-06-09T07:37:46+00:00 UAV-based NDVI data of four Arctic tundra environments (Abisko region) at summer vegetation peak for 2018 and 2019 ... Siewert, Matthias Benjamin 2021 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.938052 https://doi.pangaea.de/10.1594/PANGAEA.938052 en eng PANGAEA https://dx.doi.org/10.1038/s41598-021-98497-5 https://dx.doi.org/10.1088/1748-9326/aba20b Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Abisko Arctic NDVI UAV Area/locality Binary Object Multiple investigations Dataset dataset 2021 ftdatacite https://doi.org/10.1594/pangaea.93805210.1038/s41598-021-98497-510.1088/1748-9326/aba20b 2024-05-13T12:44:57Z Unmanned Aerial Vehicle (UAV) data were collected using an eBee fixed-wing mapping drone (senseFly, Switzerland) with a Sequoia multi-spectral (Parrot, France) camera sensor at four study areas in the Torneträsk region, northern Sweden. The areas have an extent of 15–21 ha (~350 m × ~500 m). The setup covers at large the climatic variability of the Fennoscandian forest-tundra ecotone. The imagery was recorded during vegetation peak productivity between July 27th and August 4th in 2018 and 2019. The Sequoia sensor provides imagery in green, red, red-edge and near-infrared bands (G,R,RE,NIR). The normalized difference vegetation index (NDVI) was extracted using the R and NIR bands. Overexposed snow areas were gap-filled following Siewert and Olofsson (2020). Radiometric calibration was performed using spectral reflectance panels (MosaicMill, Finland). The imagery has a ground resolution of 11.4 cm–13.5 cm depending on flight and area after photogrammetric processing using Pix4Dmapper (Pix4D SA, Switzerland). ... Dataset Abisko Arctic Fennoscandian Northern Sweden Tundra DataCite Metadata Store (German National Library of Science and Technology) Abisko ENVELOPE(18.829,18.829,68.349,68.349) Arctic Torneträsk ENVELOPE(18.861,18.861,68.392,68.392) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Abisko Arctic NDVI UAV Area/locality Binary Object Multiple investigations |
spellingShingle |
Abisko Arctic NDVI UAV Area/locality Binary Object Multiple investigations Siewert, Matthias Benjamin UAV-based NDVI data of four Arctic tundra environments (Abisko region) at summer vegetation peak for 2018 and 2019 ... |
topic_facet |
Abisko Arctic NDVI UAV Area/locality Binary Object Multiple investigations |
description |
Unmanned Aerial Vehicle (UAV) data were collected using an eBee fixed-wing mapping drone (senseFly, Switzerland) with a Sequoia multi-spectral (Parrot, France) camera sensor at four study areas in the Torneträsk region, northern Sweden. The areas have an extent of 15–21 ha (~350 m × ~500 m). The setup covers at large the climatic variability of the Fennoscandian forest-tundra ecotone. The imagery was recorded during vegetation peak productivity between July 27th and August 4th in 2018 and 2019. The Sequoia sensor provides imagery in green, red, red-edge and near-infrared bands (G,R,RE,NIR). The normalized difference vegetation index (NDVI) was extracted using the R and NIR bands. Overexposed snow areas were gap-filled following Siewert and Olofsson (2020). Radiometric calibration was performed using spectral reflectance panels (MosaicMill, Finland). The imagery has a ground resolution of 11.4 cm–13.5 cm depending on flight and area after photogrammetric processing using Pix4Dmapper (Pix4D SA, Switzerland). ... |
format |
Dataset |
author |
Siewert, Matthias Benjamin |
author_facet |
Siewert, Matthias Benjamin |
author_sort |
Siewert, Matthias Benjamin |
title |
UAV-based NDVI data of four Arctic tundra environments (Abisko region) at summer vegetation peak for 2018 and 2019 ... |
title_short |
UAV-based NDVI data of four Arctic tundra environments (Abisko region) at summer vegetation peak for 2018 and 2019 ... |
title_full |
UAV-based NDVI data of four Arctic tundra environments (Abisko region) at summer vegetation peak for 2018 and 2019 ... |
title_fullStr |
UAV-based NDVI data of four Arctic tundra environments (Abisko region) at summer vegetation peak for 2018 and 2019 ... |
title_full_unstemmed |
UAV-based NDVI data of four Arctic tundra environments (Abisko region) at summer vegetation peak for 2018 and 2019 ... |
title_sort |
uav-based ndvi data of four arctic tundra environments (abisko region) at summer vegetation peak for 2018 and 2019 ... |
publisher |
PANGAEA |
publishDate |
2021 |
url |
https://dx.doi.org/10.1594/pangaea.938052 https://doi.pangaea.de/10.1594/PANGAEA.938052 |
long_lat |
ENVELOPE(18.829,18.829,68.349,68.349) ENVELOPE(18.861,18.861,68.392,68.392) |
geographic |
Abisko Arctic Torneträsk |
geographic_facet |
Abisko Arctic Torneträsk |
genre |
Abisko Arctic Fennoscandian Northern Sweden Tundra |
genre_facet |
Abisko Arctic Fennoscandian Northern Sweden Tundra |
op_relation |
https://dx.doi.org/10.1038/s41598-021-98497-5 https://dx.doi.org/10.1088/1748-9326/aba20b |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.93805210.1038/s41598-021-98497-510.1088/1748-9326/aba20b |
_version_ |
1801371566064271360 |