Pinned Repositories
aicube-overview
AI-Cube Project
CODE-DE-Cloud
CODE-DE is part of Germany's geoinformation strategy. It has been providing easy access to data from the Copernicus Mission since 2017. Especially for authorities and their contractors, the CODE-DE Cloud offers contingents for free access to satellite data and to the efficient processing environment.
community_FORCE
E-Learning
The E-Learning section contains training material for the platform https://e-learning.eo-lab.org/.
EO-Lab
The EO-Lab cloud is part of the Strategy "Artificial Intelligence" of the German Federal Government. It provides German entities for science and development easy and efficient access to earth observation data, a virtual working environment for processing these data, as well as extensive information and training to support users. EO-Lab promotes the scientific utilisation of data from national EO-missions and from the Copernicus Program as well as the development of efficient, automated process chains and innovative EO-applications. The scientific use of AI-methods is particularly welcome. Developers from both scientific and commercial entities are invited to design and demonstrate new processes and applications on EO-Lab.
notebook-samples
Jupyter Notebook samples
CODE-DE-EO-Lab's Repositories
CODE-DE-EO-Lab/community_FORCE
CODE-DE-EO-Lab/E-Learning
The E-Learning section contains training material for the platform https://e-learning.eo-lab.org/.
CODE-DE-EO-Lab/CODE-DE-Cloud
CODE-DE is part of Germany's geoinformation strategy. It has been providing easy access to data from the Copernicus Mission since 2017. Especially for authorities and their contractors, the CODE-DE Cloud offers contingents for free access to satellite data and to the efficient processing environment.
CODE-DE-EO-Lab/EO-Lab
The EO-Lab cloud is part of the Strategy "Artificial Intelligence" of the German Federal Government. It provides German entities for science and development easy and efficient access to earth observation data, a virtual working environment for processing these data, as well as extensive information and training to support users. EO-Lab promotes the scientific utilisation of data from national EO-missions and from the Copernicus Program as well as the development of efficient, automated process chains and innovative EO-applications. The scientific use of AI-methods is particularly welcome. Developers from both scientific and commercial entities are invited to design and demonstrate new processes and applications on EO-Lab.
CODE-DE-EO-Lab/notebook-samples
Jupyter Notebook samples
CODE-DE-EO-Lab/aicube-overview
AI-Cube Project