Use of Harmonised Data Access
Here we list a few tools that can be used to access data on the Destination Earth - Data Lake. They should be configured with the Harmonised Data Access - HDA, component STAC endpoint, and in turn gain access to the vast amount of diverse data exposed by Destination Earth - Data Lake.
EODAG, command line tool and Python package for searching and downloading remotely sensed images
PyStac, Python library for working with SpatioTemporal Asset Catalogs (STACs)
Any REST client pointing to the HDA STAC API endpoint
The STACK Service provided by Destination Earth Data Lake, can also be used in conjunction with the HDA component to facilitate access and processing of data.
e.g. See the hosted service JupyterLab Environment will allow users to execute their own python code
Also See the JupyterLab Notebook examples found at Destination Earth on Github.
The HDA STAC API documentation is available here : OpenAPI documentation