Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1515/intag-2017-0050
Title (Primary) Assimilating phenology datasets automatically across ICOS ecosystem stations
Author Hufkens, K.; Filippa, G.; Cremonese, E.; Migliavacca, M.; D’Odorico, P.; Peichl, M.; Gielen, B.; Hörtnagl, L.; Soudani, K.; Papale, D.; Rebmann, C.; Brown, T.; Wingate, L.
Source Titel International Agrophysics
Year 2018
Department CHS
Volume 32
Issue 4
Page From 677
Page To 687
Language englisch
Keywords ICOS; near-surface remote sensing; proximal sensing; digital repeat photography; phenology; protocol
Abstract The presence or absence of leaves within plant canopies exert a strong influence on the carbon, water and energy balance of ecosystems. Identifying key changes in the timing of leaf elongation and senescence during the year can help to understand the sensitivity of different plant functional types to changes in temperature. When recorded over many years these data can provide information on the response of ecosystems to long-term changes in climate. The installation of digital cameras that take images at regular intervals of plant canopies across the Integrated Carbon Observation System ecosystem stations will provide a reliable and important record of variations in canopy state, colour and the timing of key phenological events. Here, we detail the procedure for the implementation of cameras on Integrated Carbon Observation System flux towers and how these images will help us understand the impact of leaf phenology and ecosystem function, distinguish changes in canopy structure from leaf physiology and at larger scales will assist in the validation of (future) remote sensing products. These data will help us improve the representation of phenological responses to climatic variability across Integrated Carbon Observation System stations and the terrestrial biosphere through the improvement of model algorithms and the provision of validation datasets.
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Hufkens, K., Filippa, G., Cremonese, E., Migliavacca, M., D’Odorico, P., Peichl, M., Gielen, B., Hörtnagl, L., Soudani, K., Papale, D., Rebmann, C., Brown, T., Wingate, L. (2018):
Assimilating phenology datasets automatically across ICOS ecosystem stations
Int. Agrophys. 32 (4), 677 - 687 10.1515/intag-2017-0050