Publications

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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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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Angelos Zavras, Dimitrios Michail, Begüm Demir, Ioannis Papoutsis (2024). Mind the modality gap: Towards a remote sensing vision-language model via cross-modal alignment. arXiv.

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Nikolaos-Ioannis Bountos, Arthur Ouaknine, David Rolnick (2023). FoMo-Bench: a multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models.

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

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Nikolaos-Ioannis Bountos, Maria Sdraka, Angelos Zavras, Ilektra Karasante, Andreas Karavias, Themistocles Herekakis, Angeliki Thanasou, Dimitrios Michail, Ioannis Papoutsis (2023). Kuro Siwo: 12.1 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping.

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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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Spyros Kondylatos, Ioannis Prapas, Gustau Camps-Valls, Ioannis Papoutsis (2023). Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. 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.