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

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

doi:https://doi.org/10.5194/essd-13-3593-2021

Articles | Volume 13, issue 7

https://doi.org/10.5194/essd-13-3593-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-13-3593-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 7

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

Data sets

Near-surface vegetation monitoring in Adventdalen, Svalbard (Rack #1-#10, 2015-2018) L. Nilsen, F. J. W. Parmentier, H. Tømmervik, and E. J. Cooper https://doi.org/10.21343/kbpq-xb91

Model code and software

frans-jan/stable-cam v1.0 (Version v1.0) F. J. W. Parmentier https://doi.org/10.5281/zenodo.4554938

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.