DRC Subnational NDVI: 10-Day Vegetation Indicators and Anomalies

The World Food Programme provides this dataset of dekadal (10-day) NDVI indicators for the Democratic Republic of the Congo, aggregated by sub-national administrative units. It utilizes NASA MODIS collection 6.1 satellite data from Aqua and Terra sensors to track vegetation health, long-term averages, and anomalies.

Use Cases

• Monitoring regional agricultural health by comparing current vim against the vim_lta baseline
• Identifying drought or flood conditions using the viq anomaly percentage column
• Validating the statistical significance of regional trends using the n_pixels count

Strengths

• Uses NASA MODIS collection 6.1 high-resolution satellite data
• Includes vim_lta for direct historical baseline comparison
• Provides n_pixels to indicate the statistical weight and reliability of each aggregate

Limitations

• Aggregated at the sub-national level, which masks granular pixel-level spatial variance
• Dependent on cloud-free satellite observations which can be limited in tropical rainforest regions

Provenance

Source

World Food Programme (WFP) and NASA MODIS

Collection Method

Satellite remote sensing (MODIS Aqua/Terra) aggregated to WFP administrative boundaries

Freshness

Updated as of March 2026.

Geography

Democratic Republic of the Congo