51 citations · 115 across the 12 of their papers we have counts for
5 papers · 1 filter
Deep Learning for Global Wildfire Forecasting
Ioannis Prapas, Akanksha Ahuja, Spyros Kondylatos +7
Climate change is expected to aggravate wildfire activity through the exacerbation of fire weather. Improving our capabilities to anticipate wildfires on a global scale is of utter…
A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning
Dimitrios Sykas, Maria Sdraka, Dimitrios Zografakis +1
In this work we introduce Sen4AgriNet, a Sentinel-2 based time series multi country benchmark dataset, tailored for agricultural monitoring applications with Machine and Deep Learn…
Hephaestus: A large scale multitask dataset towards InSAR understanding
Nikolaos Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail +3
Synthetic Aperture Radar (SAR) data and Interferometric SAR (InSAR) products in particular, are one of the largest sources of Earth Observation data. InSAR provides unique informat…
Self-supervised Contrastive Learning for Volcanic Unrest Detection
Nikolaos Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail +1
Ground deformation measured from Interferometric Synthetic Aperture Radar (InSAR) data is considered a sign of volcanic unrest, statistically linked to a volcanic eruption. Recent…
Learning from Synthetic InSAR with Vision Transformers: The case of volcanic unrest detection
Nikolaos Ioannis Bountos, Dimitrios Michail, Ioannis Papoutsis
The detection of early signs of volcanic unrest preceding an eruption, in the form of ground deformation in Interferometric Synthetic Aperture Radar (InSAR) data is critical for as…