Kazakhstan Subnational NDVI: 10-Day Vegetation Indicators and Anomalies

Kazakhstan vegetation health is tracked via dekadal NDVI indicators derived from NASA MODIS collection 6.1 satellite data. Produced by the World Food Programme (WFP), the data aggregates 10-day observations into sub-national administrative units to monitor agricultural conditions.

Use Cases

• Assessing crop stress by analyzing the `viq` (NDVI anomaly percentage) column
• Comparing current vegetation levels (`vim`) against historical norms (`vim_lta`) for drought monitoring
• Weighting the reliability of administrative aggregates using the `n_pixels` column

Strengths

• Derived from NASA MODIS collection 6.1 Aqua and Terra satellite data
• Includes `vim_lta` (long-term average) for historical context
• Provides `n_pixels` count to verify the data density of each administrative aggregate

Limitations

• Aggregated at the administrative level, losing granular pixel-level spatial variance
• Dependent on cloud-free satellite observations which may affect the `n_pixels` count

Provenance

Source

World Food Programme (WFP) using NASA MODIS collection 6.1

Collection Method

Satellite sensor data aggregation

Freshness

Last updated March 2026 per source metadata.

Geography

Kazakhstan