Efficient deep learning models for land cover image classification. - Ioannis Papoutsis; Nikolaos-Ioannis Bountos; Angelos Zavras; Dimitrios Michail 001; Christos Tryfonopoulos (CoRR, 2021)

Hephaestus: A large scale multitask dataset towards InSAR understanding. - Nikolaos-Ioannis Bountos; Ioannis Papoutsis; Dimitrios Michail 001; Andreas Karavias; Panagiotis Elias; Isaak S. Parcharidis (CVPR Workshops, 2022)

Learning class prototypes from Synthetic InSAR with Vision Transformers. - Nikolaos-Ioannis Bountos; Dimitrios Michail 001; Ioannis Papoutsis (CoRR, 2022)

Self-Supervised Contrastive Learning for Volcanic Unrest Detection. - Nikolaos-Ioannis Bountos; Ioannis Papoutsis; Dimitrios Michail 001; Nantheera Anantrasirichai (IEEE Geosci. Remote. Sens. Lett., 2022)

Learning From Synthetic InSAR With Vision Transformers: The Case of Volcanic Unrest Detection. - Nikolaos-Ioannis Bountos; Dimitrios Michail 001; Ioannis Papoutsis (IEEE Trans. Geosci. Remote. Sens., 2022)

TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting. - Ioannis Prapas; Nikolaos-Ioannis Bountos; Spyros Kondylatos; Dimitrios Michail 001; Gustau Camps-Valls; Ioannis Papoutsis (ICCV (Workshops), 2023)

Kuro Siwo: 12.1 billion m2 under the water. A global multi-temporal satellite dataset for rapid flood mapping. - Nikolaos-Ioannis Bountos; Maria Sdraka; Angelos Zavras; Ilektra Karasante; Andreas Karavias; Themistocles Herekakis; Angeliki Thanasou; Dimitrios Michail 001; Ioannis Papoutsis (CoRR, 2023)

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

Kuro Siwo: 33 billion m2 under the water. A global multi-temporal satellite dataset for rapid flood mapping. - Nikolaos-Ioannis Bountos; Maria Sdraka; Angelos Zavras; Andreas Karavias; Ilektra Karasante; Themistocles Herekakis; Angeliki Thanasou; Dimitrios Michail 001; Ioannis Papoutsis (NeurIPS, 2024)

Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks. - Dimitrios Michail 001; Lefki-Ioanna Panagiotou; Charalampos Davalas; Ioannis Prapas; Spyros Kondylatos; Nikolaos-Ioannis Bountos; Ioannis Papoutsis (CoRR, 2024)

FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring. - Nikolaos-Ioannis Bountos; Arthur Ouaknine; Ioannis Papoutsis; David Rolnick (AAAI, 2025)

FireCastNet: Earth-as-a-Graph for Seasonal Fire Prediction. - Dimitrios Michail 001; Charalampos Davalas; Lefki-Ioanna Panagiotou; Ioannis Prapas; Spyros Kondylatos; Nikolaos-Ioannis Bountos; Ioannis Papoutsis (CoRR, 2025)

On the Generalization of Representation Uncertainty in Earth Observation. - Spyros Kondylatos; Nikolaos-Ioannis Bountos; Dimitrios Michail 001; Xiao Xiang Zhu 001; Gustau Camps-Valls; Ioannis Papoutsis (CoRR, 2025)

Towards a Unified Copernicus Foundation Model for Earth Vision. - Yi Wang 072; Zhitong Xiong; Chenying Liu 001; Adam J. Stewart; Thomas Dujardin; Nikolaos-Ioannis Bountos; Angelos Zavras; Franziska Gerken; Ioannis Papoutsis; Laura Leal-Taixé; Xiao Xiang Zhu 001 (CoRR, 2025)

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

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