Context

CS Group responsabilities for World Cover are as follows:

Main Picture

The features are as follows:

Produce, deliver and validate a global 10 meters land cover map of the world.
Use a mapping of a minimum of 10 land cover classes and a minimum overall accuracy of 75%.
Use innovative approaches that best exploit the novel observational capabilities of both Sentinel-1 and Sentinel-2 data at an acceptable cost.

Project implementation

The project objectives are as follows:

The project aims at developing an automated user-driven workflow capable of producing a global land cover maps in fast delivery.
To meet such a challenge, production delivery is divided into 3 phases:
- Producing 1% of the world
- Producing 10% of the world
- Producing 100% of the world

The processes for carrying out the project are:

The solution key points are as follows:

On-demand computing platform creation service
Useful service deployments without the complexity of managing a processing platform over a cloud infrastructure

Archi Picture

The main technologies used in this project are:

Domain	Technology(ies)
Hardware environment(s)	Cloud
Operating System(s)	Linux
Programming language(s)	Go, Python
Production software (IDE, DEVOPS etc.)	JIRA, Docker
Main COTS library(ies)	Stack ELK, Kubernetes, Argo, SafeScale, S1 pre-processing, S2-preprocessing, Classification