Publications

Nikolaos Anastasiou, Spyros Kondylatos, Ioannis Papoutsis (2025). Wildfire spread forecasting with Deep Learning. arXiv.

Andreas Karavias, Dimitrios Anastasiou, Nikos Svigkas, Xanthos Papanikolaou, Gianfilippo De Astis, Simone Atzori, Ioannis Papoutsis (2025). Santorini Inflates Again: Geodetic Monitoring and Modeling of the 2024–2025 Volcanic Unrest. ESS Open Archive (Research Letter, Preprint).

Spyros Kondylatos, Nikolaos-Ioannis Bountos, Ioannis Prapas, Angelos Zavras, Gustau Camps-Valls, Ioannis Papoutsis (2025). Probabilistic Machine Learning for Noisy Labels in Earth Observation. arXiv.

Nikolas Papadopoulos, Nikolaos-Ioannis Bountos, Maria Sdraka, Andreas Karavias, Ioannis Papoutsis (2025). Hephaestus Minicubes: A Global, Multi-Modal Dataset for Volcanic Unrest Monitoring. arXiv preprint arXiv:2505.17782.

Paraskevi Oikonomou, Vassilia Karathanassi, Vassilis Andronis, Ioannis Papoutsis (2025). Assessing and Forecasting Natural Regeneration in Mediterranean Landscapes After Wildfires. MDPI.

Angelos Zavras, Dimitrios Michail, Xiao Xiang Zhu, Begüm Demir, Ioannis Papoutsis (2025). GAIA: A Global, Multi-modal, Multi-scale Vision-Language Dataset for Remote Sensing Image Analysis. arXiv.

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Dimitrios Michail, Charalampos Davalas, Lefki-Ioanna Panagiotou, Ioannis Prapas, Spyros Kondylatos, Nikolaos-Ioannis Bountos, Ioannis Papoutsis (2025). FireCastNet: Earth-as-a-Graph for Seasonal Fire Prediction. arXiv.

Ilektra Karasante, Lazaro Alonso, Ioannis Prapas, Akanksha Ahuja, Nuno Carvalhais, Ioannis Papoutsis (2025). SeasFire cube - a multivariate dataset for global wildfire modeling. Nature Scientific Data.

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Yi Wang, Zhitong Xiong, Chenying Liu, Adam J Stewart, Thomas Dujardin, Nikolaos-Ioannis Bountos, Angelos Zavras, Franziska Gerken, Ioannis Papoutsis, Laura Leal-Taixé, others (2025). Towards a unified copernicus foundation model for earth vision. Proceedings of the IEEE/CVF International Conference on Computer Vision.

Spyros Kondylatos, Nikolaos-Ioannis Bountos, Dimitrios Michail, Xiao Xiang Zhu, Gustau Camps-Valls, Ioannis Papoutsis (2025). On the Generalization of Representation Uncertainty in Earth Observation. Proceedings of the IEEE/CVF International Conference on Computer Vision.

Angelos Zavras, Dimitrios Michail, Begüm Demir, Ioannis Papoutsis (2025). Mind the modality gap: Towards a remote sensing vision-language model via cross-modal alignment. ISPRS Journal of Photogrammetry and Remote Sensing.

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Nikolaos-Ioannis Bountos, Arthur Ouaknine, Ioannis Papoutsis, David Rolnick (2025). Fomo: Multi-modal, multi-scale and multi-task remote sensing foundation models for forest monitoring. Proceedings of the AAAI Conference on Artificial Intelligence.

Maria Sdraka, Alkinoos Dimakos, Alexandros Malounis, Zisoula Ntasiou, Konstantinos Karantzalos, Dimitrios Michail, Ioannis Papoutsis (2024). FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2. IEEE JSTARS.

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Dimitrios Michail, Lefki-Ioanna Panagiotou, Charalampos Davalas, Ioannis Prapas, Spyros Kondylatos, Nikolaos-Ioannis Bountos, Ioannis Papoutsis (2024). Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks. arXiv.

Shan Zhao, Ioannis Prapas, Ilektra Karasante, Zhitong Xiong, Ioannis Papoutsis, Gustau Camps-Valls, Xiao Xiang Zhu (2024). Causal Graph Neural Networks for Wildfire Danger Prediction. arXiv.

Anastasios Mantas, Filippos Yfantis, Dimitris Bilidas, George Stamoulis, Spyros Kondylatos, Ioannis Prapas, Ioannis Papoutsis, José María Tárraga Habas, Eva Sevillano Marco, Fabien Castel, Camille Laine, Manolis Koubarakis (2024). Plato: A Semantic Data Cube System Using Ontology-Based Data Access Technologies. IEEE Access.

Zhitong Xiong, Yi Wang, Fahong Zhang, Adam J Stewart, Joëlle Hanna, Damian Borth, Ioannis Papoutsis, Bertrand Le Saux, Gustau Camps-Valls, Xiao Xiang Zhu (2024). Neural plasticity-inspired multimodal foundation model for earth observation. arXiv preprint arXiv:2403.15356.

Nikolaos-Ioannis Bountos, Maria Sdraka, Angelos Zavras, Andreas Karavias, Ilektra Karasante, Themistocles Herekakis, Angeliki Thanasou, Dimitrios Michail, Ioannis Papoutsis (2024). Kuro Siwo: 33 billion $ m^ 2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping. Advances in Neural Information Processing Systems.

Spyridon Kondylatos, Ioannis Prapas, Gustau Camps-Valls, Ioannis Papoutsis (2023). Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. Advances in Neural Information Processing Systems.

Ioannis Prapas, Akanksha Ahuja, Spyros Kondylatos, Ilektra Karasante, Eleanna Panagiotou, Lazaro Alonso, Charalampos Davalas, Dimitrios Michail, Nuno Carvalhais, Ioannis Papoutsis (2023). Deep Learning for Global Wildfire Forecasting. arXiv.

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Ioannis Prapas, Nikolaos-Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis (2023). TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting. Proceedings of the IEEE/CVF International Conference on Computer Vision (Best Paper Award).

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Ioannis Papoutsis, Nikolaos-Ioannis Bountos, Angelos Zavras, Dimitrios Michail, Christos Tryfonopoulos (2023). Benchmarking and scaling of deep learning models for land cover image classification.

Spyros Kondylatos, Ioannis Prapas, Michele Ronco, Ioannis Papoutsis, Gustau Camps‐Valls, María Piles, Miguel‐Ángel Fernández‐Torres, Nuno Carvalhais (2022). Wildfire Danger Prediction and Understanding With Deep Learning.

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Nikolaos-Ioannis Bountos, Dimitrios Michail, Ioannis Papoutsis (2022). Learning from synthetic InSAR with vision transformers: the case of volcanic unrest detection.

M. Elkamali, C. Loupasakis, I. Papoutsis, A. Abuelgasim (2022). Land Surface Movement Driven by Groundwater Dynamics. EAGE Middle East Geomechanics Workshop: Lessons Learned & New Frontiers.

Nikolaos-Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Andreas Karavias, Panagiotis Elias, Isaak Parcharidis (2022). Hephaestus: A large scale multitask dataset towards InSAR understanding. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Ioannis Prapas, Spyros Kondylatos, Ioannis Papoutsis (2022). FireCube: A daily datacube for the modeling and analysis of wildfires in Greece. Zenodo. https://doi. org/10.5281/zenodo.

Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raul Ramos-Pollan (2022). Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes. arXiv preprint arXiv:2211.02869.

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Maria Sdraka, Ioannis Papoutsis, Bill Psomas, Konstantinos Vlachos, Konstantinos Ioannidis, Konstantinos Karantzalos, Ilias Gialampoukidis, Stefanos Vrochidis (2022). Deep learning for downscaling remote sensing images: Fusion and super-resolution.

Maria Ioannidou, Alkiviadis Koukos, Vasileios Sitokonstantinou, Ioannis Papoutsis, Charalampos Kontoes (2022). Assessing the added value of Sentinel-1 PolSAR data for crop classification.

Dimitrios Sykas, Maria Sdraka, Dimitrios Zografakis, Ioannis Papoutsis (2022). A sentinel-2 multiyear, multicountry benchmark dataset for crop classification and segmentation with deep learning.

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

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Dimitris Sykas, Ioannis Papoutsis, Dimitrios Zografakis (2021). Sen4AgriNet: A harmonized multi-country, multi-temporal benchmark dataset for agricultural earth observation machine learning applications. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Nikolaos-Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Nantheera Anantrasirichai (2021). Self-supervised contrastive learning for volcanic unrest detection.

Chiara Gervasi, Alessia Ferrari, Ioannis Papoutsis, Souzana Touloumtzi (2021). Deepcube: Explainable ai pipelines for big copernicus data.