Kenya Subnational NDVI: Dekadal Vegetation Indices and Anomalies

WFP provides dekadal NDVI indicators for Kenya's sub-national administrative units derived from NASA MODIS collection 6.1 satellite imagery. The data tracks vegetation health through 10-day intervals, comparing current observations against long-term averages to identify anomalies.

Use Cases

• Monitoring drought conditions using the viq (NDVI anomaly percentage) field
• Assessing seasonal vegetation health by comparing vim against the vim_lta baseline
• Evaluating data reliability for specific regions using the n_pixels count

Strengths

• Derived from NASA MODIS collection 6.1 satellite data
• Includes vim_lta (long-term average) for historical baseline comparison
• Uses WFP Pcode references for standardized administrative mapping

Limitations

• Spatial aggregation to sub-national units obscures localized vegetation variations
• NDVI values can be affected by persistent cloud cover in satellite imagery

Provenance

Source

World Food Programme (WFP) using NASA MODIS satellite data

Collection Method

Satellite remote sensing and spatial aggregation

Freshness

Updated as of March 2026.

Geography

Kenya