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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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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
Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean
We introduce Mesogeos, a large-scale multi-purpose dataset for wildfire modeling in the Mediterranean. Mesogeos integrates variables …
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Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean
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
Deep Learning Methods for Daily Wildfire Danger Forecasting
Wildfire forecasting is of paramount importance for disaster risk reduction and environmental sustainability. We approach daily fire …
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Deep Learning Methods for Daily Wildfire Danger Forecasting