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.
By delinieating climate risk areas, resourses can be supplied allocated to specific areas for a specific risk. We use complex models with climate and soil but simple maps to effectively communicate and supply information to those who need it.
Maps are indespensable in communicating information to farmers, scientific disciplines, governing bodies, the public and other stakeholders. We use state of the art maps to valuable information into one map. This not only simplifies the information contained within, but knew knowledge can be obtained by using bi and multi-variate maps. This makes complicated systems more effectively communicated.
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 environmental maps. For specific jobs, we use drone images and cloud computing such as Google Earth Engine, Amazon Web Serves and Google Cloud for high level computing. We tailer each project to the software, analytics and infrustructure needed.
We publish all our public work in international, high quality, peer-reviewed scientific journals. We believe what we do should be free; however, if it is a private job we do not publish that work.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 environmental poligy to environmental effects from the COVID epidemic. Specific subjects include spatial modeling, maching learning, environmental chemistry and physics as well as pure soil science.
An example code of mapping soil suborders in South Africa
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