GRD4ML
Geophysical Reference Data for Machine Learning

The GRD4ML project will create an Enhanced Environment to generate Reference Data for the Retrieval of Geophysical Parameters by Machine Learning.
Scientist and application developers will have the opportunity to create, enhance, utilise and manage their own datasets for training neural networks in a integrated environment based on free licensed tools and cloud computing resources, overcoming the complexity of the present practices to made up machine learning analysis.

Partners: CGI
Supported by: ESA