Cameroon Subnational NDVI: Dekadal Vegetation Indicators and Anomalies
Updated 4mo ago
2filesCSV
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Description
Giving access to dekadal NDVI indicators for Cameroon, 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 10-day intervals, long-term averages, and percentage anomalies. The records are current as of March 2026 and utilize WFP-standardized administrative boundaries.
Use Cases
Monitoring agricultural health by comparing current NDVI (vim) against the long-term average (vim_lta)
Identifying drought conditions or vegetation stress using the NDVI anomaly percentage (viq)
Correlating vegetation density with food security metrics using Pcode join keys
Strengths
Uses NASA MODIS collection 6.1 high-resolution satellite data
Includes long-term average (vim_lta) for baseline comparison
Standardized Pcode references for integration with other WFP datasets
Limitations
Aggregated at the administrative level, which obscures granular pixel-level spatial variance
Satellite observations in tropical regions like Cameroon may be affected by seasonal cloud cover, impacting the n_pixels count
Provenance
Source
NASA Moderate Resolution Imaging Spectroradiometer (MODIS) collection 6.1
Collection Method
Satellite sensor data aggregated by WFP administrative boundaries
Freshness
Updated through March 2026.
Geography
Cameroon
Users should be familiar with WFP Pcode references to join this data with other sub-national humanitarian datasets. The data is provided under a Creative Commons Attribution license.