The first field-level soil map for Africa

We've built the first field-level soil map for Africa, with 20+ soil properties predicted at 30m resolution for the entire continent.
Our development process applies predictive machine learning technology using data from over 130,000 soil samples, much of it based on years of research by the African Soil Information Service (AfSIS) and other soil data resources.

API

Built for developers

Use iSDAsoil to your advantage. We offer a free API that will allow developers to query our data by location.

100% Free

Regularly updated

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Simple API

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open data

Rapid updates

We’ve designed iSDAsoil maps for rapid updates and continuous improvement. Do you have African soil data that could be used to improve these maps? Get in touch!

Data Contributors

We are grateful to all partners listed below, who have contributed data to iSDAsoil. We are especially indebted to all partners involved in the AfSIS project. Without this groundbreaking work, iSDAsoil would not have been possible.

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Developer Portal

Information about how to use our APIs

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FAQs

Answers to our most frequently asked questions

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Technical Information

How were these maps made? Welcome to this brief guide on the work behind our mapping technology. We...

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