Somalia Crop Mask at 1 Square Kilometer Resolution

A global crop mask dataset at a 0.0089286-degree resolution, approximately 1 square kilometer per pixel. Each pixel represents the area fraction of a specific land cover, such as the percentage of the pixel containing rangelands. The dataset was published by the IGAD Climate Prediction and Applications Center (ICPAC) and last updated on March 17, 2026.

Use Cases

• Classifying land cover and crop types based on pixel-level area fractions.
• Monitoring agricultural land use change over time based on the raster data.
• Estimating crop area coverage for agricultural planning based on the fractional pixel representation.
• Integrating with other geospatial layers for environmental modeling based on the 1 km resolution.

Strengths

• Data is provided at a 0.0089286-degree spatial resolution.
• The dataset has a specific geographic focus on Somalia.
• It is licensed under the permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

IGAD Climate Prediction and Applications Center (ICPAC)

Collection Method

Likely derived from satellite remote sensing imagery.

Time Range

null

Freshness

Last updated 2026-03 17 09:14:31.655700; freshness should be verified.

Geography

Global, with a specific focus implied by the title on Somalia.