IWMI DIWASA Rainfed and Irrigated Cropland Map for Africa

A 73% overall accuracy was achieved by a framework integrating the Budyko model to distinguish rainfed from irrigated cropland across Africa. This dataset expands on remote sensing land cover products to provide deeper insights into agricultural water use patterns. It was developed by the International Water Management Institute (IWMI) and is hosted on AWS Open Data.

Use Cases

• Classifying agricultural land as rainfed or irrigated based on the Budyko model framework.
• Analyzing cropland patterns for water resource planning and policy development.
• Validating or augmenting other remote sensing land cover products for Africa.

Strengths

• Framework validated with an overall accuracy of 73%.
• Designed to minimize errors in misclassifying rainfed areas as irrigated.
• Integrates the Budyko model to distinguish water sources for cropland.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

International Water Management Institute (IWMI)

Collection Method

Developed using a framework integrating the Budyko model applied to remote sensing data.

Time Range

null

Freshness

Last updated date is unknown.

Geography

Africa