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DIWASA Rainfed and Irrigated Cropland Map for Africa

agriculture cropland partitioning irrigated cropland land cover land use rainfed cropland

Description

A framework integrating the Budyko model has been developed to distinguish between rainfed and irrigated cropland areas across Africa. This expands on remote sensing land cover products available for agricultural water studies in Africa and thereby helps address the need for deeper insights into cropland patterns. Validation against an independent dataset revealed an overall accuracy of 73% with high precision and specificity scores. These results validate the framework’s effectiveness in identifying irrigated areas while minimizing errors in misclassifying rainfed areas as irrigated.

Update Frequency

None

License

There are no restrictions on the use of this data.

Documentation

https://github.com/iwmiwaplus/ODR/tree/master/Partitioned%20Croplands

Managed By

IWMI

See all datasets managed by IWMI.

Contact

iwmiwaplus@gmail.com

How to Cite

DIWASA Rainfed and Irrigated Cropland Map for Africa was accessed on DATE from https://registry.opendata.aws/cropland_partitioining.

Usage Examples

Tutorials
Tools & Applications
Publications

Resources on AWS

  • Description
    high-confidence cropland map (HCCM)
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::iwmi-datasets/Cropland_partition/HCCM/
    AWS Region
    af-south-1
    AWS CLI Access (No AWS account required)
    aws s3 ls --region af-south-1 --no-sign-request s3://iwmi-datasets/Cropland_partition/HCCM/
    Explore
    Browse Bucket
  • Description
    Cropland partitioning all data
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::iwmi-datasets/Cropland_partition/
    AWS Region
    af-south-1
    AWS CLI Access (No AWS account required)
    aws s3 ls --region af-south-1 --no-sign-request s3://iwmi-datasets/Cropland_partition/
    Explore
    Browse Bucket

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