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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Bibliographic Details
Main Author: Siewert, Matthias Benjamin
Format: Dataset
Language:English
Published: PANGAEA 2021
Subjects:
Abisko
Arctic
NDVI
UAV
Area/locality
Binary Object
Multiple investigations
Torneträsk
Fennoscandian
Northern Sweden
Tundra
Online Access:https://dx.doi.org/10.1594/pangaea.938052
https://doi.pangaea.de/10.1594/PANGAEA.938052
Description
Summary: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). ...

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