
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
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This is a publicly available data set. No subscription is required.
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- 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/
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How to cite
iSDAsoil was accessed on DATE from https://registry.opendata.aws/isdasoil .
License
CC-BY 4.0