Zambia Subnational NDVI: Dekadal Vegetation Indicators and Anomalies
Updated 4mo ago
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Description
Dekadal vegetation health indicators for Zambia, derived from NASA's MODIS collection 6.1 satellite imagery. Produced by the World Food Programme, the data aggregates Aqua and Terra satellite observations into sub-national administrative units to track environmental changes. It includes 10-day NDVI values, long-term averages, and percentage anomalies for each administrative region.
Use Cases
Detecting drought or crop failure by monitoring the NDVI anomaly percentage (viq) across different dekads
Analyzing seasonal vegetation trends by comparing current 10-day NDVI (vim) against the long-term average (vim_lta)
Correlating regional food security levels with vegetation health using Pcode-linked administrative aggregates
Strengths
Derived from NASA MODIS collection 6.1 high-resolution satellite data
Includes vim_lta for direct comparison against historical vegetation baselines
Uses standardized WFP Pcode references for easy joining with other humanitarian datasets
Limitations
Aggregated at the sub-national level, which obscures localized vegetation variance within a district
Data quality in the n_pixels column may be affected by cloud cover during specific 10-day windows
Provenance
Source
World Food Programme (WFP) via NASA MODIS collection 6.1
Collection Method
Satellite sensor data aggregation from Aqua and Terra platforms
Freshness
Last updated March 2026; follows a dekadal (10-day) update frequency.
Geography
Zambia
Users should be familiar with WFP Pcode administrative boundaries to map the data correctly; the dataset is provided under a Creative Commons Attribution license.