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Wildfire spread forecasting with Deep Learning
Accurate prediction of wildfire spread is crucial for effective risk management, emergency response, and strategic resource allocation. …
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Santorini Inflates Again: Geodetic Monitoring and Modeling of the 2024–2025 Volcanic Unrest
We analyze and discuss surface deformation patterns related to the Santorini Caldera unrest, spanning from summer 2024 to January 2025. …
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Probabilistic Machine Learning for Noisy Labels in Earth Observation
Label noise poses a significant challenge in Earth Observation (EO), often degrading the performance and reliability of supervised …
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Assessing and Forecasting Natural Regeneration in Mediterranean Landscapes After Wildfires
Forest ecosystems in the Mediterranean basin are significantly affected by summer wildfires. Drought, extreme temperatures, and strong …
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GAIA: A Global, Multi-modal, Multi-scale Vision-Language Dataset for Remote Sensing Image Analysis
The continuous operation of Earth-orbiting satellites generates vast and ever-growing archives of Remote Sensing (RS) images. Natural …
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FireCastNet: Earth-as-a-Graph for Seasonal Fire Prediction
With climate change expected to exacerbate fire weather conditions, the accurate and timely anticipation of wildfires becomes …
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Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks
With climate change expected to exacerbate fire weather conditions, the accurate anticipation of wildfires on a global scale becomes …
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Causal Graph Neural Networks for Wildfire Danger Prediction
Wildfire forecasting is notoriously hard due to the complex interplay of different factors such as weather conditions, vegetation types …
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Deep Learning for Global Wildfire Forecasting
Climate change is expected to aggravate wildfire activity through the exacerbation of fire weather. Improving our capabilities to …
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Deep Learning for Global Wildfire Forecasting
FireCube: A daily datacube for the modeling and analysis of wildfires in Greece
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FireCube: A daily datacube for the modeling and analysis of wildfires in Greece