0585349 - ÚVGZ 2025 RIV NL eng J - Journal Article
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
R&D Projects: GA MŠMT LM2023048
Institutional support: RVO:86652079
Keywords : 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
OECD category: Agriculture
Impact factor: 7.5, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S1569843224000207?via%3Dihub
Permanent 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
R&D Projects: GA MŠMT LM2023048
Institutional support: RVO:86652079
Keywords : 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
OECD category: Agriculture
Impact factor: 7.5, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S1569843224000207?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0353067