MODIS land cover product validation in the Iberian Peninsula. - Paulo Lopes; Pedro Lourenço; Nuno Carvalhais; Júlia Seixas (IGARSS, 2003)

Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology. - Matthias Forkel; Nuno Carvalhais; Jan Verbesselt; Miguel D. Mahecha; Christopher S. R. Neigh; Markus Reichstein (Remote. Sens., 2013)

An Automated Approach to Map the History of Forest Disturbance from Insect Mortality and Harvest with Landsat Time-Series Data. - Christopher S. R. Neigh; Douglas K. Bolton; Mouhamad Diabate; Jennifer J. Williams; Nuno Carvalhais (Remote. Sens., 2014)

Assessing the Use of Multiple Constraints and Ancillary Data to Support Scope Model Inversion in a Experimental Grassland. - Javier Pacheco-Labrador; Nuno Carvalhais; Óscar Pérez-Priego; Tarek S. El-Madany; Micol Rossini; Tommaso Julitta; Gerardo Moreno; Rosario González-Cascón; María Pilar Martín; Markus Reichstein; Arnaud Carrara; Luis Guanter; et al. (IGARSS, 2018)

Modelling Landsurface Time-Series with Recurrent Neural Nets. - Markus Reichstein; Simon Besnard; Nuno Carvalhais; Fabian Gans; Martin Jung 002; Basil Kraft; Miguel D. Mahecha (IGARSS, 2018)

Forest biomass retrieval approaches from earth observation in different biomes. - Pedro Rodríguez-Veiga; Shaun Quegan; João Manuel de Brito Carreiras; Henrik J. Persson; Johan E. S. Fransson; Agata Hoscilo; Dariusz Ziolkowski; Krzysztof Sterenczak; Sandra Lohberger; Matthias Stängel; Anna Berninger; Florian Siegert; et al. (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Deep learning and process understanding for data-driven Earth system science. - Markus Reichstein; Gustau Camps-Valls; Bjorn Stevens; Martin Jung 002; Joachim Denzler; Nuno Carvalhais; Prabhat (Nat., 2019)

Deep Learning Methods for Daily Wildfire Danger Forecasting. - Ioannis Prapas; Spyros Kondylatos; Ioannis Papoutsis; Gustau Camps-Valls; Michele Ronco; Miguel-Ángel Fernández-Torres; Maria Piles Guillem; Nuno Carvalhais (CoRR, 2021)

Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs. - Claire Robin; Christian Requena-Mesa; Vitus Benson; Lázaro Alonso; Jeran Poehls; Nuno Carvalhais; Markus Reichstein (CoRR, 2022)

Deep Learning for Global Wildfire Forecasting. - Ioannis Prapas; Akanksha Ahuja; Spyros Kondylatos; Ilektra Karasante; Eleanna Panagiotou; Lázaro Alonso; Charalampos Davalas; Dimitrios Michail 001; Nuno Carvalhais; Ioannis Papoutsis (CoRR, 2022)

Observation-based assessment of secondary water effects on seasonal vegetation decay across Africa. - Çaglar Küçük; Sujan Koirala; Nuno Carvalhais; Diego G. Miralles; Markus Reichstein; Martin Jung 002 (Frontiers Big Data, 2022)

VIST5: An Adaptive, Retrieval-Augmented Language Model for Visualization-oriented Dialog. - Henrik Voigt; Nuno Carvalhais; Monique Meuschke; Markus Reichstein; Sina Zarrieß; Kai Lawonn (EMNLP (Demos), 2023)

SeasFire as a Multivariate Earth System Datacube for Wildfire Dynamics. - Ilektra Karasante; Lázaro Alonso; Ioannis Prapas; Akanksha Ahuja; Nuno Carvalhais; Ioannis Papoutsis (CoRR, 2023)

Multi-Modal Learning for Geospatial Vegetation Forecasting. - Vitus Benson; Claire Robin; Christian Requena-Mesa; Lázaro Alonso; Nuno Carvalhais; José Cortés; Zhihan Gao 001; Nora Linscheid; Mélanie Weynants; Markus Reichstein (CVPR, 2024)

Double machine learning for causal hybrid modeling - applications in the Earth sciences. - Kai-Hendrik Cohrs; Gherardo Varando; Nuno Carvalhais; Markus Reichstein; Gustau Camps-Valls (CoRR, 2024)

Causal hybrid modeling with double machine learning - applications in carbon flux modeling. - Kai-Hendrik Cohrs; Gherardo Varando; Nuno Carvalhais; Markus Reichstein; Gustau Camps-Valls (Mach. Learn. Sci. Technol., 2024)

Either Or: Interactive Articles or Videos for Climate Science Communication. - Jeran Poehls; Monique Meuschke; Nuno Carvalhais; Kai Lawonn (Comput. Graph. Forum, 2025)