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Introduction to the Digital Earth Africa Sandbox

Digital Earth Africa

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About This Course

Learn how to select, load, and analyse Earth observation satellite data of Africa available through the Digital Earth Africa Sandbox platform. Inspect regions at scale, generate stunning images, and conduct quantitative remote sensing analysis.

This six-session course (plus bonus supporting content on Python basics) covers an introduction to the Digital Earth Africa program, and a quick start on how to use our analysis platforms. This includes the interactive Map portal as well as a Python coding-based Sandbox.

No prior experience in Earth observations, satellite data, or coding is required. All sessions feature step-by-step instructions and knowledge check quizzes, with the opportunity to achieve certification by passing all tasks.

Course Staff

Profile picture of Kenneth Mubea

Kenneth Mubea, PhD

User Engagement Manager

Kenneth's role includes technical assistance, user engagement and support, driving usage of the Digital Earth Africa services, and engaging with our network of partners across Africa.

Profile picture of Edward Boamah

Edward Boamah

Technical Manager

Edward provides technical support, assistance in building capacity, and co-developing use cases with individuals, institutions, and our partners across Africa in the usage of the Digital Earth Africa services.

Frequently Asked Questions

How can I view course content without registering?

You can view all course content from the course homepage, without an account. Users must register to complete quizzes and be eligible for certification.

What web browser should I use?

The Digital Earth Africa Learning Platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.

See the list of supported browsers for the most up-to-date information.