Bangladesh Subnational NDVI: Dekadal Vegetation Indices and Anomalies

Bangladesh dekadal NDVI indicators aggregated by sub-national administrative units using NASA MODIS collection 6.1 satellite data. Created by the World Food Programme (WFP), the data tracks vegetation health through 10-day intervals to support food security monitoring.

Use Cases

• Monitoring agricultural drought conditions by tracking the viq (NDVI anomaly) column over time
• Comparing current vegetation health (vim) against historical norms (vim_lta) to identify crop stress
• Integrating vegetation trends with sub-national socio-economic data using Pcode join keys

Strengths

• Derived from NASA MODIS collection 6.1 Aqua and Terra satellite sensors
• Includes Pcode references for standardized joining with other humanitarian datasets
• Provides n_pixels column to verify the data density of each spatial aggregate

Limitations

• Aggregated format obscures localized vegetation variations smaller than the administrative unit
• Satellite-derived indices in this region can be affected by heavy cloud cover during monsoon seasons

Provenance

Source

World Food Programme (WFP) via NASA MODIS Collection 6.1

Collection Method

Satellite remote sensing aggregation

Freshness

Updated as of March 2026.

Geography

Bangladesh