Articles | Volume 13, issue 7
https://doi.org/10.5194/essd-13-3593-2021
https://doi.org/10.5194/essd-13-3593-2021
Data description paper
 | 
29 Jul 2021
Data description paper |  | 29 Jul 2021

A distributed time-lapse camera network to track vegetation phenology with high temporal detail and at varying scales

Frans-Jan W. Parmentier, Lennart Nilsen, Hans Tømmervik, and Elisabeth J. Cooper

Viewed

Total article views: 3,037 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,077 884 76 3,037 61 72
  • HTML: 2,077
  • PDF: 884
  • XML: 76
  • Total: 3,037
  • BibTeX: 61
  • EndNote: 72
Views and downloads (calculated since 12 Mar 2021)
Cumulative views and downloads (calculated since 12 Mar 2021)

Viewed (geographical distribution)

Total article views: 3,037 (including HTML, PDF, and XML) Thereof 2,838 with geography defined and 199 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 12 Jun 2024
Download
Short summary
Satellites provide a global overview of Earth's ecosystems, but they have coarse resolutions and low revisit times. Small-scale vegetation patterns and sudden shifts in plant growth can easily be missed. In this paper, we show how to fill these gaps with vegetation indices obtained with ordinary time-lapse cameras deployed across a valley on Svalbard. We show how to adjust for unwanted camera movement and that vegetation indices from ordinary cameras compare well to those used by satellites.
Altmetrics
Final-revised paper
Preprint