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agriculture analytics biodiversity conservation deep learning food security geospatial machine learning satellite imagery


iSDAsoil is a resource containing soil property predictions for the entire African continent, generated using machine learning. Maps for over 20 different soil properties have been created at 2 different depths (0-20 and 20-50cm). Soil property predictions were made using machine learning coupled with remote sensing data and a training set of over 100,000 analyzed soil samples. Included in this dataset are images of predicted soil properties, model error and satellite covariates used in the mapping process.

Update Frequency

Based upon the availability of new data


CC-BY 4.0


Managed By

Innovative Solutions for Decision Agriculture (iSDA)

See all datasets managed by Innovative Solutions for Decision Agriculture (iSDA).


How to Cite

iSDAsoil was accessed on DATE from

Usage Examples

Tools & Applications

Resources on AWS

  • Description
    iSDAsoil data and covariates
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    AWS Region
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://isdasoil/
    Browse data using the STAC viewer

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