Myanmar Subnational NDVI: Dekadal Vegetation Indices and Anomalies

Dekadal (10-day) Normalized Difference Vegetation Index (NDVI) indicators for Myanmar, aggregated by sub-national administrative units using NASA MODIS collection 6.1 satellite data. Produced by the World Food Programme (WFP), the data tracks vegetation health through current values, long-term averages, and percentage anomalies. It utilizes WFP administrative boundaries and Pcode references for standardized spatial reporting.

Use Cases

• Assessing agricultural drought severity by comparing current vim against the vim_lta baseline
• Identifying regions with abnormal vegetation stress using the viq anomaly percentage
• Correlating vegetation health with food security outcomes using Pcode-linked administrative data

Strengths

• Derived from NASA MODIS collection 6.1 Aqua and Terra satellite sensors
• Includes Pcode references for direct joining with WFP humanitarian GIS layers
• Provides n_pixels count to indicate the data density of each administrative aggregate

Limitations

• Aggregated at the sub-national level, which masks localized vegetation changes within administrative boundaries
• Subject to sensor noise or cloud interference typical of optical satellite imagery in tropical regions

Provenance

Source

World Food Programme (WFP) via NASA Moderate Resolution Imaging Spectroradiometer (MODIS)

Collection Method

Satellite remote sensing aggregation of MODIS Collection 6.1 data

Freshness

Updated as of March 2026 according to source metadata.

Geography

Myanmar