Datasets

At OrionLab, we like to keep data open.

SeasFire as a Multivariate Earth System Datacube for Wildfire Dynamics
The global occurrence, scale, and frequency of wildfires pose significant threats to ecosystem services and human livelihoods. To …
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SeasFire as a Multivariate Earth System Datacube for Wildfire Dynamics
Kuro Siwo: 12.1 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping
Global floods, exacerbated by climate change, pose severe threats to human life, infrastructure, and the environment. This urgency is …
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Kuro Siwo: 12.1 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping
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
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
A sentinel-2 multiyear, multicountry benchmark dataset for crop classification and segmentation with deep learning
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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
Hephaestus: A large scale multitask dataset towards InSAR understanding
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