Open data
    |
    Deployed on AWS
    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.

    Overview

    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.

    Features and programs

    Open Data Sponsorship Program

    This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.

    Pricing

    This is a publicly available data set. No subscription is required.

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    Usage information

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    Delivery details

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    How to use
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    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/

    Resources

    Support

    How to cite

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

    License

    CC-BY 4.0