Publikationen von Vitus Benson

Zeitschriftenartikel (2)

1.
Zeitschriftenartikel
Yang, H.; Wang, S.; Son, R.; Lee, H. T.; Benson, V.; Zhang, W.; Zhang, Y.; Zhang, Y.; Kattge, J.; Boenisch, G. et al.; Schepaschenko, D.; Karaszewski, Z.; Stereńczak, K.; Moreno-Martínez, Á.; Nabais, C.; Birnbaum, P.; Vieilledent, G.; Weber, U.; Carvalhais, N.: Global patterns of tree wood density. Global Change Biology 30 (3), e17224 (2024)
2.
Zeitschriftenartikel
Benson, V.; Donges, J. F.; Boers, N.; Hirota, M.; Morr, A.; Staal, A.; Vollmer, J.; Wunderling, N.: Measuring tropical rainforest resilience under non-Gaussian disturbances. Environmental Research Letters 19 (2), 024029 (2024)

Konferenzbeitrag (1)

3.
Konferenzbeitrag
Requena Mesa, C.; Benson, V.; Reichstein, M.; Runge, J.; Denzler, J.: EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW, Nashville, TN, USA , 19. Juni 2021 - 25. Juni 2021. IEEE, Nashville, TN, USA (2021)

Preprint (4)

4.
Preprint
Benson, V.; Bastos, A.; Reimers, C.; Winkler, A.; Yang, F.; Reichstein, M.: Atmospheric transport modeling of CO2 with neural networks. arXiv (2024)
5.
Preprint
Reichstein, M.; Benson, V.; Camps-Valls, G.; Boran, H.; Fearnley, C.; Kornhuber, K.; Rahaman, N.; Schöllkopf, B.; Tárraga, J. M.; Vinuesa, R. et al.; Blunk, J.; Dall, K.; Denzler, J.; Frank, D.; Martini, G.; Nganga, N.; Robinson, D. M.: Early warning of complex climate risk with integrated artificial intelligence. Research Square (2024)
6.
Preprint
Benson, V.; Requena Mesa, C.; Robin, C.; Alonso, L.; Cortes, J.; Gao, Z.; Linscheid, N.; Weynants, M.; Reichstein, M.: Forecasting localized weather impacts on vegetation as seen from space with meteo-guided video prediction. arXiv (2023)
7.
Preprint
Robin, C.; Requena Mesa, C.; Benson, V.; Alonso, L.; Poehls, J.; Carvalhais, N.; Reichstein, M.: Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs. arXiv (2022)

Weitere interessante Beiträge

Zur Redakteursansicht