The Analytics Hub provides a foundational capability for integrating Earth observations and accelerating science at Earth Lab. Bringing together computer scientists, statisticians, earth scientists, and aerospace engineers, the group provides tools, training, and support for data processing, analysis, and visualization to the Earth Lab team and the broader scientific community.

As part of the Analytics Hub mission, analysts and developers create software and tutorials to facilitate geospatial data acquisition, analysis, and visualization. Software tools developed by the Analytics Hub allow users to easily locate geographic regions for study, visualize and explore remote sensing data, and integrate disparate datasets acquired in the field, at fixed study sites, and by unmanned aerial systems (UAS) and satellites.

Housing scientific support staff and specialists who assist researchers with all data needs, the Analytics Hub supports the diverse needs of the Earth Lab scientists, from geospatial processing and visualization to advanced big data analytics and machine learning as well as data management, curation, and preservation. The Analytics Hub builds on existing cyberinfrastructure (CI) investments from NSF and CU-Boulder by integrating the existing PetaLibrary storage system, the high-performance network, existing supercomputing capabilities, and by deploying specialized computer nodes with data analytics capabilities (e.g. deep learning, Map-Reduce, Spark).

The first step to getting access to these resources is to get an account with Research Computing.  For Earth Lab participants, please visit here.