Data accompanying "Drone data reveal heterogeneity in tundra greenness and phenology not captured by satellites"

This dataset contains the spatial data underlying the statistical analysis in: Assmann et al. (in press) - Drone data reveal heterogeneity in tundra greenness and phenology not captured by satellites Together with the code and tabular data contained in https://github.com/jakobjassmann/qhi_phen_ts/ t...

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Bibliographic Details
Main Authors: Assmann, Jakob J., Myers-Smith, Isla H., Kerby, Jeffrey T., Cunliffe, Andrew M., Daskalova, Gergana
Format: Dataset
Language:unknown
Published: 2020
Subjects:
UAV
Online Access:https://zenodo.org/record/3904258
https://doi.org/10.5281/zenodo.3904258
Description
Summary:This dataset contains the spatial data underlying the statistical analysis in: Assmann et al. (in press) - Drone data reveal heterogeneity in tundra greenness and phenology not captured by satellites Together with the code and tabular data contained in https://github.com/jakobjassmann/qhi_phen_ts/ the data in this repository are required to reproduce the figures, tables and statistics reported in the manuscript. This dataset consists of two components: Multispectral drone observations from the growing seasons 2016 and 2017 for 8 study plots on Qikiqtaruk - Herschel Island in Canada collected with Parrot Sequioa sensors (62 sets of multispectral orhomosaics in total). Post-porcessed Sentinel-2 MSI L2A scenes covering the same 8 study plots, including all scenes for which the area of the plots and their immediate surroundings were cloud free between May and September in 2016 and 2017. --- Citation: Jakob J. Assmann, Isla H. Myers-Smith, Jeffrey T. Kerby, Andrew M. Cunliffe and Gergana N. Daskalova. In press. Drone data reveal heterogeneity in tundra greenness and phenology not captured by satellites. https://doi.org/10.32942/osf.io/tqekn Legal notice: This dataset contains modified Copernicus Sentinel [2016, 2017] data. Acknowledgements (from the manuscript): We would like to thank the Team Shrub field crews of the 2016 and 2017 field seasons for their hard work and effort invested in collecting the data presented in this research, this includes Will Palmer, Santeri Lehtonen, Callum Tyler, Sandra Angers-Blondin and Haydn Thomas. Furthermore, we would like to thank Tom Wade and Simon Gibson-Poole from the University of Edinburgh Airborne GeoSciences Facility, as well as Chris McLellan and Andrew Gray from the NERC Field Spectroscopy Facility for their support in our drone endeavours. We also want to express our gratitude to Ally Phillimore, Ed Midchard, Toke Høye and two anonymous reviewers for providing feedback on earlier versions of this manuscript. Lastly, JJA would like to thank IMS, Ally Phillimore and ...