Nuno Carvalhais

According to our database, Nuno Carvalhais authored at least 15 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Multi-Modal Learning for Geospatial Vegetation Forecasting.

Vitus Benson, Claire Robin, Christian Requena-Mesa, Lázaro Alonso, Nuno Carvalhais, José Cortés, Zhihan Gao, Nora Linscheid, Mélanie Weynants, Markus Reichstein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

VIST5: An Adaptive, Retrieval-Augmented Language Model for Visualization-oriented Dialog.

Henrik Voigt, Nuno Carvalhais, Monique Meuschke, Markus Reichstein, Sina Zarrieß, Kai Lawonn

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Frontiers Big Data, 2022

Deep Learning for Global Wildfire Forecasting.

Ioannis Prapas, Akanksha Ahuja, Spyros Kondylatos, Ilektra Karasante, Eleanna Panagiotou, Lázaro Alonso, Charalampos Davalas, Dimitrios Michail, Nuno Carvalhais, Ioannis Papoutsis

CoRR, 2022

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

2021

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

2019

Deep learning and process understanding for data-driven Earth system science.

Markus Reichstein, Gustau Camps-Valls, Bjorn Stevens, Martin Jung, Joachim Denzler, Nuno Carvalhais, Prabhat

Nat., 2019

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, Valerio Avitabile, Martin Herold, Stéphane Mérmoz, Alexandre Bouvet, Thuy Le Toan, Nuno Carvalhais, Heiko Balzter

Int. J. Appl. Earth Obs. Geoinformation, 2019

2018

Modelling Landsurface Time-Series with Recurrent Neural Nets.

Markus Reichstein, Simon Besnard, Nuno Carvalhais, Fabian Gans, Martin Jung, Basil Kraft, Miguel D. Mahecha

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

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, Mirco Migliavacca

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2014

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

2013

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

2003

MODIS land cover product validation in the Iberian Peninsula.

Paulo Lopes, Pedro Lourenço, Nuno Carvalhais, Júlia Seixas

Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003