DEEPCUBE: Explainable AI Pipelines for Big Copernicus Data
DeepCube is a 3-year Horizon 2020 project that leverages advances in the fields of Artificial Intelligence and Semantic Web to unlock the potential of big Copernicus data. Its goal is to address problems of high socio-environmental impact and enhance our understanding of Earth's processes corr...
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| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | EN IT |
| Publicado: |
mediaGEO soc. coop.
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/ba675035dfab454eaffebd3aeb34e29b |
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| Sumario: | DeepCube is a 3-year Horizon 2020 project that leverages advances in the fields of Artificial Intelligence and Semantic Web to unlock the potential of big Copernicus data. Its goal is to address problems of high socio-environmental impact and enhance our understanding of Earth's processes correlated with Climate Change. To achieve this, the project employs mature ICT technologies, integrating them into a scalable, open and interoperable platform that provides solutions for all phases of an Earth Observation based AI pipeline. The Deep-
Cube technologies will be demonstrated in five Use Cases.
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