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iSDAsoil Total Carbon

Total carbon at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with `exp(x/10)-1`. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be seen. Soil property predictions were made by [Innovative Solutions for Decision Agriculture Ltd. (iSDA)](https://isda-africa.com/) at 30 m pixel size using machine learning coupled with remote sensing data and

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Source details

Licence: CC-BY-4.0

Evidence quality: 30.3

Listed in gee public catalogue API on 2026-10-16; relevance/value screened (haiku).

Metadata checked: 2026-10-14T13:20:00.000Z

What's in it

Resolution registry
30 m

Evidence

Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.