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.
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.
the Creative Commons Attribution 4.0 License.
A distributed time-lapse camera network to track vegetation phenology with high temporal detail and at varying scales
Frans-Jan W. Parmentier
CORRESPONDING AUTHOR
Center for Biogeochemistry in the Anthropocene, Department of Geosciences, University of Oslo, Oslo, 0315, Norway
Department of Physical Geography and Ecosystem Science, Lund University, Lund, 223 62, Sweden
Department of Arctic and Marine Biology, UiT – The Arctic University of Norway, Tromsø, 9037, Norway
Lennart Nilsen
Department of Arctic and Marine Biology, UiT – The Arctic University of Norway, Tromsø, 9037, Norway
Hans Tømmervik
Norwegian Institute of Nature Research (NINA), FRAM – High North Centre for Climate and the Environment, Tromsø, 9296, Norway
Elisabeth J. Cooper
Department of Arctic and Marine Biology, UiT – The Arctic University of Norway, Tromsø, 9037, Norway
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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.
Satellites provide a global overview of Earth's ecosystems, but they have coarse resolutions and...
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