Top-down view of a mixed forest with many dead trees, whose dead, bare branches appear white in between the green of the healthy trees.

Publications of Nuno Carvalhais

Conference Paper (8)

101.
Conference Paper
Voigt, H.; Carvalhais, N.; Meuschke, M.; Reichstein, M.; Zarrie, S.; Lawonn, K.: VIST5: An adaptive, retrieval-augmented language model for visualization-oriented dialog. In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pp. 70 - 81. The 2023 Conference on Empirical Methods in Natural Language Processing, Singapure, December 06, 2023 - December 10, 2023. Association for Computational Linguistics, Singapur (2023)
102.
Conference Paper
Pacheco-Labrador, J.; Weber, U.; Ma, X.; Mahecha, M. D.; Carvalhais, N.; Wirth, C.; Huth, A.; Bohn, F. J.; Kraemer, G.; Heiden, U. et al.; members, F.; Migliavacca, M.: Evalutating the potential of desis to infer plant taxonomical and functional diversities in europwean forests. In: 1st DESIS User Workshop – Imaging Spectrometer Space Mission, Calibration and Validation, Applications, Methods, Vol. XLVI-1/W1-2021, pp. 49 - 55. 1st DESIS User Workshop on Imaging Spectrometer Space Mission, Calibration and Validation, Applications, Methods, ELECTR NETWORK, September 28, 2021 - October 01, 2021. (2022)
103.
Conference Paper
Pacheco-Labrador, J.; Carvalhais, N.; Perez-Priego, O.; El-Madany, T. S.; Rossini, M.; Julitta, T.; Moreno, G.; González-Cascón, R.; Martín, M. P.; Reichstein, M. et al.; Carrara, A.; Guanter, L.; Migliavacca, M.: Assessing the use of multiple constraints and ancillary data to support scope model inversion in a experimental grassland. In: IEEE International Geoscience and Remote Sensing Symposium, IGARSS, pp. 5975 - 5978. International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, July 22, 2018 - July 27, 2018. Institute of Electrical and Electronics Engineers Inc. (2018)
104.
Conference Paper
Reichstein, M.; Besnard, S.; Carvalhais, N.; Gans, F.; Jung, M.; Kraft, B.; Mahecha, M. D.: Modelling landsurface time-series with recurrent neural nets. In: 2018 IEEE International geoscience and remote sensing symposium (IGARSS), pp. 7640 - 7643. Valencia, 2018 (2018)
105.
Conference Paper
Peres, T.; Silva, J.; Ruivo, C.; Silva, P. F.; Palomo, J. M.; Colomina, I.; Peña, O.; Hill, C.; Guerriero, L.; Carvalhais, N. et al.; Erickson, A.; Cartus, O.: COREGAL: Exploring Galileo E5 reflected signals for biomass applications. In: Proceedings of the 29th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2016), pp. 881 - 891. Proceedings of the 29th International Technical Meeting of the Satellite Division of The Institute of Navigation, Portland, Oregon, September 12, 2016 - September 16, 2016. (2016)
106.
Conference Paper
Lopes, P.; Lourenço, P.; Carvalhais, N.; Seixas, J.: MODIS Land Cover Product Validation in the Iberian Peninsula. In: IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, Vol. 3, pp. 1733 - 1735 (Eds. Garrett, P.; Lourenco, P.; Carvalhais, N.; Seixas, J.). IEEE, New York, N.Y. (2003)

Preprint (8)

107.
Preprint
De, R.; Brenning, A.; Reichstein, M.; Sigut, L.; Reverter, B. R.; Korkiakoski, M.; Paul-Limoges, E.; Blanken, P. D.; Black, T. A.; Gielen, B. et al.; Tagesson, T.; Wohlfahrt, G.; Montagnani, L.; Wolf, S.; Chen, J.; Liddell, M.; Desai, A.; Koirala, S.; Carvalhais, N.: Inter–annual variability of hydrological parameters improves simulation of annual gross primary production. ESS Open Archive (2025)
108.
Preprint
Raoult, N.; Douglas, N.; MacBean, N.; Kolassa, J.; Quaife, T.; Roberts, A. G.; Fisher, R. A.; Fer, I.; Bacour, C.; Dagon, K. et al.; Hawkins, L.; Carvalhais, N.; Cooper, E.; Dietze, M.; Gentine, P.; Kaminski, T.; Kennedy, D.; Liddy, H. M.; Moore, D.; Peylin, P.; Pinnington, E.; Sanderson, B. M.; Scholze, M.; Seiler, C.; Smallman, T. L.; Vergopolan, N.; Viskari, T.; Williams, M.; Zobitz, J.: Parameter estimation in land surface models: Challenges and opportunities with data assimilation and machine learning. ESS Open Archive (2024)
109.
Preprint
De, R.; Bao, S.; Koirala, S.; Brenning, A.; Reichstein, M.; Tagesson, T.; Liddell, M.; Ibrom, A.; Wolf, S.; Sigut, L. et al.; Hörtnagl, L.; Woodgate, W.; Korkiakoski, M.; Merbold, L.; Black, T. A.; Roland, M. E.; Klosterhalfen, A.; Blanken, P. D.; Knox, S.; Sabbatini, S.; Gielen, B.; Montagnani, L.; Fensholt, R.; Wohlfahrt, G.; Desai, A. R.; Paul-Limoges, E.; Galvagno, M.; Hammerle, A.; Jocher, G.; Reverter, B. R.; Holl, D.; Chen, J.; Vitale, L.; Arain, M. A.; Carvalhais, N.: Addressing challenges in simulating inter-annual variability of gross primary production. ESS Open Archive (2024)
110.
Preprint
Bao, S.; Carvalhais, N.; Xu, J.; Chen, J.; Lei, Y.; Tana, G.; Lin, C.; Shi, J.: Global distribution pattern in characteristics of gross primary productivity response to soil water availability. SSRN Research Paper Series (2024)
111.
Preprint
Yang, H.; Stereńczak, K.; Karaszewski, Z.; Carvalhais, N.: Similar importance of inter-tree and intra-tree variations in wood density observations in Central Europe. EGUsphere (2023)
112.
Preprint
Tao, F.; Houlton, B. Z.; Frey, S. D.; Lehmann, J.; Manzoni, S.; Huang, Y.; Jiang, L.; Mishra, U.; Hungate, B. A.; Schmidt, M. W. I. et al.; Reichstein, M.; Carvalhais, N.; Ciais, P.; Wang, Y.-P.; Ahrens, B.; Hugelius, G.; Hocking, T. D.; Lu, X.; Shi, Z.; Viatkin, K.; Vargas, R.; Yigini, Y.; Omuto, C.; Malik, A. A.; Peralta, G.; Cuevas-Corona, R.; Paolo, L. E. D.; Luotto, I.; Liao, C.; Liang, Y.-S.; Saynes, V. S.; Huang, X.; Luo, Y.: Reply to: Contribution of carbon inputs to soil carbon accumulation cannot be neglected. bioRxiv: the preprint server for biology (2023)
113.
Preprint
Boavida-Portugal, J.; Moura, C.; Carvalhais, N.; Migliavacca, M.; El-Madany, T. S.; Silva, J. M. N.; Padmanaban, R.; Cerasoli, S.: Seasonal and inter-annual rainfall patterns drive Mediterranean cork oak woodland carbon uptake and sequestration. SSRN Research Paper Series (2023)
114.
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)
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