Indonesia Subnational NDVI: Dekadal Vegetation Metrics and Anomalies

Dekadal NDVI indicators for Indonesia aggregated by sub-national administrative units, produced by the World Food Programme (WFP). The data is derived from NASA’s MODIS collection 6.1 satellite imagery and includes long-term averages and anomaly percentages for vegetation monitoring.

Use Cases

• Identifying drought-affected regions by analyzing the viq (NDVI anomaly) column
• Assessing agricultural productivity trends by comparing vim against the vim_lta (long-term average)
• Correlating vegetation health with food security outcomes using the Pcode join keys

Strengths

• Uses NASA MODIS collection 6.1 satellite data from both Aqua and Terra platforms
• Includes n_pixels column to indicate the data density behind each aggregate
• Standardized using WFP Pcode references for interoperability with other humanitarian datasets

Limitations

• Aggregated sub-national data masks localized vegetation changes within a district
• Satellite-derived NDVI values can be affected by persistent cloud cover in tropical regions

Provenance

Source

World Food Programme (WFP) via NASA MODIS collection 6.1

Collection Method

Satellite sensor data aggregation

Freshness

Updated as of March 2026.

Geography

Indonesia