research data . Dataset . 2020

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

Assmann, Jakob J.; Myers-Smith, Isla H.; Kerby, Jeffrey T.; Cunliffe, Andrew M.; Daskalova, Gergana;
Open Access
  • Published: 20 Oct 2020
  • Publisher: Zenodo
Abstract
<p>This dataset contains the spatial data underlying the statistical analysis in:</p> <p><em>Assmann et al. (in press) - Drone data reveal heterogeneity in tundra greenness and phenology not captured by satellites</em></p> <p>Together with the code and tabular data contained in <a href="https://github.com/jakobjassmann/qhi_phen_ts/">https://github.com/jakobjassmann/qhi_phen_ts/</a> the data in this repository are required to reproduce the figures, tables and statistics reported in the manuscript.</p> <p>This dataset consists of two components:</p> <ol> <li> <p>Multispectral drone observations from the growing seasons 2016 and 2017 for 8 study plots on Qikiqtaruk...
Persistent Identifiers
Subjects
free text keywords: Arctic tundra, vegetation monitoring, landscape phenology, satellite, drones, UAV, RPAS, NDVI, scale, Qikiqtaruk, Herschel Island
Related Organizations
Funded by
EC| AIAS-COFUND II
Project
AIAS-COFUND II
AIAS-COFUND II Fellowship Programme
  • Funder: European Commission (EC)
  • Project Code: 754513
  • Funding stream: H2020 | MSCA-COFUND-FP
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Zenodo
Dataset . 2020
Provider: Zenodo
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