The Development Environment allows users to create and prototype their own algorithms via a Jupyter environment. The core of the system is JupyterHub, which creates independent notebook servers for authorised users logged into the system, so that each user has their own access to processing environment, input data, processing resources and output results.
The Development Environment includes pre-installed libraries and tools that allow users to perform Data transformation and Data processing for specific purposes, e.g. crop mapping, land use mapping, etc. These predefined Jupyter Templates are made of a combination of modules, computing and storage resources.