Global assessment of vegetation photosynthesis and carbon assimilation through space measurements of chlorophyll fluorescence
Zusammenfassung der Projektergebnisse
The objective of the GlobFluo project was to implement a junior research group focused on the space-based monitoring of the sun-induced fluorescence (SIF) signal emitted by vegetation for a global-scale assessment of photosynthetic processes. GlobFluo activities dealt with both the measurement of SIF from spaceborne spectroscopic measurements and the interpretation and exploitation of such measurements for an improved understanding of vegetation functioning at the ecosystem scale. This research led to several key studies in the field, especially regarding the retrieval of SIF from space-based measurements through data-driven approaches, the interpretation of the data with attention to canopy structure effects and the utilisation of the data to represent photosynthetic processes in crops, tropical rainforests and boreal evergreen forests. The optimal timing of GlobFluo made it possible that several of the papers produced by the group have become important references in the literature, and are now listed as Highly Cited Papers by Web of Science.
Projektbezogene Publikationen (Auswahl)
- “Agricultural green revolution as a driver of increasing atmospheric co2 seasonal amplitude,” Nature, vol. 515, no. 7527, pp. 394–397, 2014
N. Zeng, F. Zhao, G. J. Collatz, E. Kalnay, R. J. Salawitch, T. O. West, and L. Guanter
(Siehe online unter https://doi.org/10.1038/nature13893) - “Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models,” Global Change Biology, pp. n/a–n/a, 2014
Y. Zhang, L. Guanter, J. A. Berry, J. Joiner, C. van der Tol, A. Huete, A. Gitelson, M. Voigt, and P. Köhler
(Siehe online unter https://doi.org/10.1111/gcb.12664) - “Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence,” Proceedings of the National Academy of Sciences, vol. 111, no. 14, pp. E1327–E1333, 2014
L. Guanter, Y. Zhang, M. Jung, J. Joiner, M. Voigt, J. A. Berry, C. Frankenberg, A. R. Huete, P. Zarco-Tejada, J.-E. Lee, M. S. Moran, G. Ponce-Campos, C. Beer, G. Camps- Valls, N. Buchmann, D. Gianelle, K. Klumpp, A. Cescatti, J. M. Baker, and T. J. Griffis
(Siehe online unter https://doi.org/10.1073/pnas.1320008111) - “A linear method for the retrieval of sun-induced chlorophyll fluorescence from gome-2 and sciamachy data,” Atmospheric Measurement Techniques, vol. 8, no. 6, pp. 2589–2608, 2015
P. Köhler, L. Guanter, and J. Joiner
(Siehe online unter https://doi.org/10.5194/amt-8-2589-2015) - “Satellite chlorophyll fluorescence measurements reveal large-scale decoupling of photosynthesis and greenness dynamics in boreal evergreen forests,” Global Change Biology, vol. 22, pp. 2979–2996, 2016
S. Walther, M. Voigt, T. Thum, A. Gonsamo, Y. Zhang, P. Koehler, M. Jung, A. Varlagin, and L. Guanter
(Siehe online unter https://doi.org/10.1111/gcb.13200) - “Oco-2 advances photosynthesis observation from space via solar-induced chlorophyll fluorescence,” Science, vol. 358, no. 6360, 2017
Y. Sun, C. Frankenberg, J. D. Wood, D. S. Schimel, M. Jung, L. Guanter, D. T. Drewry, M. Verma, A. Porcar-Castell, T. J. Griffis, L. Gu, T. S. Magney, P. Köhler, B. Evans, and K. Yuen
(Siehe online unter https://doi.org/10.1126/science.aam5747) - “Assessing the potential of sun-induced fluorescence and the canopy scattering coefficient to track large-scale vegetation dynamics in amazon forests,” Remote Sensing of Environment, vol. 204, pp. 769 – 785, 2018
P. Koehler, L. Guanter, H. Kobayashi, S. Walther, and W. Yang
(Siehe online unter https://doi.org/10.1016/j.rse.2017.09.025) - “Spatially-explicit monitoring of crop photosynthetic capacity through the use of space-based chlorophyll fluorescence data,” Remote Sensing of Environment, vol. 210, pp. 362 – 374, 2018
Y. Zhang, L. Guanter, J. Joiner, L. Song, and K. Guan
(Siehe online unter https://doi.org/10.1016/j.rse.2018.03.031) - “Estimating crop primary productivity with sentinel-2 and landsat 8 using machine learning methods trained with radiative transfer simulations,” Remote Sensing of Environment, vol. 225, pp. 441 – 457, 2019
A. Wolanin, G. Camps-Valls, L. Gómez-Chova, G. Mateo-García, C. van der Tol, Y. Zhang, and L. Guanter
(Siehe online unter https://doi.org/10.1016/j.rse.2019.03.002) - “Satellite observations of the contrasting response of trees and grasses to variations in water availability,” Geophysical Research Letters, vol. 46, no. 3, pp. 1429–1440, 2019
S. Walther, G. Duveiller, M. Jung, L. Guanter, A. Cescatti, and G. Camps-Valls
(Siehe online unter https://doi.org/10.1029/2018GL080535)
