Assimilating phenology datasets automatically across ICOS ecosystem stations

Journal Article · Sat Dec 01 00:00:00 EST 2018 · International Agrophysics (Online)

DOI:https://doi.org/10.1515/intag-2017-0050· OSTI ID:1612379

Hufkens, Koen ^[1]; Filippa, Gianluca ^[2]; Cremonese, Edoardo ^[2]; Migliavacca, Mirco ^[3]; D’Odorico, Petra ^[4]; Peichl, Matthias ^[5]; Gielen, Bert ^[6]; Hörtnagl, Lukas ^[7]; Soudani, Kamel ^[8]; Papale, Dario ^[9]; Rebmann, Corinna ^[10]; Brown, Tim ^[11]; Wingate, Lisa ^[12]

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1. UMR 1391 ISPA, INRA , Villenave D’Ornon (France); DOE/OSTI
2. Environmental Protection Agency of Aosta Valley, St. Christophe (Italy)
3. Max Planck Inst. for Biogeochemistry, Jena (Germany)
4. Univ. of Toronto, ON (Canada)
5. Swedish Univ. of Agricultural Sciences, Skogsmarksgränd, Umeå (Sweden)
6. Univ. of Antwerp, Wilrijk (Belgium)
7. ETH Zurich (Switzerland)
8. Univ. Paris Sud,Orsay (France)
9. Univ. of Tuscia, Viterbo (Italy)
10. Helmholz Centre for Environmental Research, Leipzig (Germany)
11. Australian National Univ., Canberra, ACT (Australia)
12. UMR 1391 ISPA, INRA , Villenave D’Ornon (France)

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. In this paper, 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.

• Research Organization: Princeton Univ., NJ (United States)
• Sponsoring Organization: Alexander von Humboldt Foundation; French National Research Agency (ANR); National Science Foundation (NSF); Northeastern States Research Cooperative; USDOE Office of Science (SC)
• Grant/Contract Number: SC0016011
• OSTI ID: 1612379
• Journal Information: International Agrophysics (Online), Journal Name: International Agrophysics (Online) Journal Issue: 4 Vol. 32; ISSN 2300-8725
• Publisher: Sciendo - De Gruyter
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
ICOS
agriculture
digital repeat photography
near-surface remote sensing
phenology
protocol
proximal sensing