Somalia Subnational NDVI: Dekadal Vegetation Indicators and Anomalies

Somalia sub-national vegetation indicators derived from NASA MODIS collection 6.1 satellite imagery aggregated by the World Food Programme. The data provides 10-day (dekadal) NDVI measurements, long-term averages, and percentage anomalies for administrative units. It utilizes both Aqua and Terra satellite sources to monitor environmental conditions across Somalia.

Use Cases

• Drought monitoring by tracking the viq (NDVI anomaly percentage) across different regions
• Agricultural productivity analysis using the vim (10-day NDVI) to assess crop health
• Climate trend analysis by comparing current dekadal values against the vim_lta historical average

Strengths

• Derived from NASA MODIS collection 6.1 high-resolution satellite sensors
• Includes vim_lta for direct comparison against historical vegetation baselines
• Provides n_pixels column to verify the data density of each administrative aggregate

Limitations

• Aggregated at the sub-national level, which masks localized vegetation variations within units
• Satellite-derived NDVI can be affected by persistent cloud cover in specific dekads

Provenance

Source

World Food Programme (WFP) via NASA MODIS

Collection Method

Satellite sensor data aggregation

Freshness

Updated as of March 2026.

Geography

Somalia