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Hephaestus Minicubes: A Global, Multi-Modal Dataset for Volcanic Unrest Monitoring
Ground deformation is regarded in volcanology as a key precursor signal preceding volcanic eruptions. Satellite-based Interferometric …
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Artificial intelligence for modeling and understanding extreme weather and climate events
In recent years, artificial intelligence (AI) has deeply impacted various fields, including Earth system sciences, by improving weather …
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Mind the modality gap: Towards a remote sensing vision-language model via cross-modal alignment
Deep Learning (DL) is undergoing a paradigm shift with the emergence of foundation models. In this work, we focus on Contrastive …
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On the Generalization of Representation Uncertainty in Earth Observation
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Towards a unified copernicus foundation model for earth vision
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FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2
Over the last decade there has been an increasing frequency and intensity of wildfires across the globe, posing significant threats to …
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FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2
Kuro Siwo: 33 billion $ m^ 2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping
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Neural plasticity-inspired multimodal foundation model for earth observation
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Plato: A Semantic Data Cube System Using Ontology-Based Data Access Technologies
We present Plato, a novel semantic data cube system leveraging Ontology-Based Data Access technologies. The concept of semantic data …
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Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean
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