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0585349 - ÚVGZ 2025 RIV NL eng J - Článek v odborném periodiku
Bazzi, H. - Ciais, P. - Abbessi, E. - Makowski, D. - Santaren, D. - Ceschia, E. - Brut, A. - Tallec, T. - Buchmann, N. - Maier, R. - Acosta, Manuel - Loubet, B. - Buysse, P. - Leonard, J. - Bornet, F. - Fayad, I. - Lian, J. - Baghdadi, N. - Barrero, R. S. - Bruemmer, C. - Schmidt, M. - Heinesch, B. - Mauder, M. - Gruenwald, T.
Assimilating Sentinel-2 data in a modified vegetation photosynthesis and respiration model (VPRM) to improve the simulation of croplands CO2 fluxes in Europe.
International Journal of Applied Earth Observation and Geoinformation. Roč. 127, MAR (2024), č. článku 103666. ISSN 1569-8432. E-ISSN 1872-826X
Grant CEP: GA MŠMT LM2023048
Institucionální podpora: RVO:86652079
Klíčová slova: gross primary production * ecosystem respiration * global distribution * soil-moisture * carbon fluxes * satellite * yield * gpp * framework * drought * Carbon Cycle * Data-driven Modelling * Crop Types * modis * Eddy covariance * Sentinel-2
Obor OECD: Agriculture
Impakt faktor: 7.5, rok: 2022
Způsob publikování: Open access
https://www.sciencedirect.com/science/article/pii/S1569843224000207?via%3Dihub
Trvalý link: https://hdl.handle.net/11104/0353067
Bazzi, H. - Ciais, P. - Abbessi, E. - Makowski, D. - Santaren, D. - Ceschia, E. - Brut, A. - Tallec, T. - Buchmann, N. - Maier, R. - Acosta, Manuel - Loubet, B. - Buysse, P. - Leonard, J. - Bornet, F. - Fayad, I. - Lian, J. - Baghdadi, N. - Barrero, R. S. - Bruemmer, C. - Schmidt, M. - Heinesch, B. - Mauder, M. - Gruenwald, T.
Assimilating Sentinel-2 data in a modified vegetation photosynthesis and respiration model (VPRM) to improve the simulation of croplands CO2 fluxes in Europe.
International Journal of Applied Earth Observation and Geoinformation. Roč. 127, MAR (2024), č. článku 103666. ISSN 1569-8432. E-ISSN 1872-826X
Grant CEP: GA MŠMT LM2023048
Institucionální podpora: RVO:86652079
Klíčová slova: gross primary production * ecosystem respiration * global distribution * soil-moisture * carbon fluxes * satellite * yield * gpp * framework * drought * Carbon Cycle * Data-driven Modelling * Crop Types * modis * Eddy covariance * Sentinel-2
Obor OECD: Agriculture
Impakt faktor: 7.5, rok: 2022
Způsob publikování: Open access
https://www.sciencedirect.com/science/article/pii/S1569843224000207?via%3Dihub
Trvalý link: https://hdl.handle.net/11104/0353067