We are producing 30 m soil maps for many African nations from numerical classification to be used for such things as hydrological modeling to easily understandeable soil types for the average farmer. Since we use free data by downscaling existing data, the maps will be freely available. 

Our coding is fairly complex, so we have created an R package (rafikisol) that leverages Google Earth Engine, so everyone can map their needed location. More complex codes and coding examples can be found at https://rpubs.com/rafikisol and https://github.com/rafikisol/. We also supply code examples straight from Google Earth Engine console and from using other R strategies from scientific papers.

We use the latest freely available satellite and soil data to produce high resolution soil maps. For specific jobs, we use drone images and cloud computing such as Amazon Web Serves and Google Cloud for high level computing.

We publish all our public work in scientific journals found in the publication section. We believe what we do should be free, however, if it is a private job we do not publish that work. We publish everything from carbon stocks to Boron application on wheat to environmental effects from the COVID epidemic.