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iSDAsoil

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

Description

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 datset 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

License

CC-BY 4.0

Documentation

https://www.isda-africa.com/isdasoil/isdasoil-on-aws/

Managed By

Innovative Solutions for Decision Agriculture (iSDA)

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

Contact

info@isda-africa.com

How to Cite

iSDAsoil was accessed on DATE from https://registry.opendata.aws/isdasoil.

Usage Examples

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Tools & Applications
Publications

Resources on AWS

  • Description
    iSDAsoil data and covariates
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::isdasoil
    AWS Region
    us-west-2
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://isdasoil/
    Explore
    Browse data using the STAC viewer

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