Libya Subnational NDVI: 10-Day Vegetation Indicators and Anomalies

Dekadal (10-day) NDVI indicators for Libya are aggregated by sub-national administrative units using NASA MODIS collection 6.1 satellite data. Produced by the World Food Programme (WFP), the records include current vegetation values (vim), long-term averages (vim_lta), and percentage anomalies (viq). The data is updated as recently as March 2026.

Use Cases

• Detecting agricultural stress by analyzing the NDVI anomaly percentage (viq) across different sub-national units
• Establishing historical vegetation baselines for Libya using the NDVI long-term average (vim_lta) column
• Mapping regional vegetation density by joining WFP Pcode references with external geospatial shapefiles

Strengths

• Derived from NASA MODIS collection 6.1 satellite imagery
• Includes n_pixels column to verify the data density of each administrative aggregate
• Standardized using WFP Pcode references for easy integration with other humanitarian datasets

Limitations

• Spatial resolution is limited to administrative aggregates rather than raw pixel-level data
• Temporal resolution is fixed at 10-day (dekadal) intervals
• Accuracy is dependent on cloud-free satellite observations

Provenance

Source

World Food Programme (WFP) via NASA MODIS

Collection Method

Satellite sensor data aggregation

Freshness

Updated through March 2026.

Geography

Libya