dataset · Global

iSDAsoil Sand Content

Sand content at soil depths of 0-20 cm and 20-50 cm,\npredicted mean and standard deviation. 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 a training set of over 100,000 analyzed soil samples. Fur

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

Evidence

• ee.Image('ISDASOIL/Africa/v1/sand_content')
• https://developers.google.com/earth-engine/datasets/catalog/ISDASOIL_Africa_v1_sand_content

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