Digital Earth South Africa (DESA)

Digital Earth South Africa (DESA) aims to leverage emerging technologies to deliver a unique capability to store, manage, process, interrogate, and persistently distribute SANSA’s 30-year archive of Earth observation data in readily usable formats that further promote its usefulness in addressing a range of societal challenges. DESA will provide users with standardized, and easily accessible satellite data that allows for immediate analysis with a minimum of additional user effort.

Kartoza provided a technical lead resource for the DESA project to set up the DESA software stack based on the opendatacube ecosystem of tools, to set up a jupyterhub instance for use by the internal SANSA team and to implement the Crop Arable Land Fraction (CALF) algorithm in Python from the corresponding ATBD document.