Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 13, issue 7
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

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Cited articles

Anderson, H., Nilsen, L., Tømmervik, H., Karlsen, S., Nagai, S., and Cooper, E.: Using Ordinary Digital Cameras in Place of Near-Infrared Sensors to Derive Vegetation Indices for Phenology Studies of High Arctic Vegetation, Remote Sens., 8, 847, https://doi.org/10.3390/rs8100847, 2016. 
Bartsch, A., Höfler, A., Kroisleitner, C., and Trofaier, A. M.: Land Cover Mapping in Northern High Latitude Permafrost Regions with Satellite Data: Achievements and Remaining Challenges, Remote Sens., 8, 979, https://doi.org/10.3390/rs8120979, 2016. 
Bradski, G.: The OpenCV Library, Dr. Dobb's Journal of Software Tools, online, available from: https://www.drdobbs.com/open-source/the-opencv-library/184404319 (last access: 23 February 2021), 2000. 
Brown, T. B., Hultine, K. R., Steltzer, H., Denny, E. G., Denslow, M. W., Granados, J., Henderson, S., Moore, D., Nagai, S., SanClements, M., Sánchez-Azofeifa, A., Sonnentag, O., Tazik, D., and Richardson, A. D.: Using phenocams to monitor our changing Earth: toward a global phenocam network, Front. Ecol. Environ., 14, 84–93, https://doi.org/10.1002/fee.1222, 2016. 
Cooper, E. J., Little, C. J., Pilsbacher, A. K., and Mörsdorf, M. A.: Disappearing green: Shrubs decline and bryophytes increase with nine years of increased snow accumulation in the High Arctic, J. Veg. Sci., 30, 857–867, https://doi.org/10.1111/jvs.12793, 2019. 
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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.
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