Afghanistan Subnational NDVI: Dekadal Vegetation Indices and Anomalies
Updated 4mo ago
2filesCSV
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Description
Delivering dekadal (10-day) Normalized Difference Vegetation Index (NDVI) indicators for Afghanistan, aggregated by sub-national administrative units using NASA MODIS collection 6.1 satellite data. Produced by the World Food Programme (WFP), the records track vegetation health through current values, long-term averages, and percentage anomalies. The data is maintained to support food security monitoring and agricultural assessment across all administrative regions in the country.
Use Cases
Monitoring agricultural health by comparing current NDVI (vim) against the long-term average (vim_lta)
Identifying drought conditions or crop failure using the NDVI anomaly percentage (viq)
Analyzing vegetation trends over time across specific Pcode-referenced administrative regions
Strengths
Derived from NASA MODIS collection 6.1 high-resolution satellite data
Includes long-term average (vim_lta) for historical baseline comparison
Provides pixel count (n_pixels) to indicate the statistical reliability of each aggregate
Limitations
Aggregated at the sub-national level, which may mask localized vegetation changes within large administrative units
Dependent on cloud-free satellite observations for accurate NDVI calculation
Specific start date for the time series is not explicitly defined in the metadata
Provenance
Source
World Food Programme (WFP) using NASA MODIS collection 6.1
Collection Method
Satellite sensor data aggregation
Freshness
Updated through March 2026 per source metadata.
Geography
Afghanistan
The administrative units used for aggregation are based on WFP data and contain a Pcode reference for joining with other humanitarian datasets. Licensed under Creative Commons Attribution (CC-BY).