Malaysia Subnational NDVI: 10-Day Vegetation Indicators and Anomalies
Updated 4mo ago
2filesCSV
Available on 1 platform
Sign in to view source links and access this dataset
Description
Supplying dekadal (10-day) Normalized Difference Vegetation Index (NDVI) indicators for Malaysia, aggregated by sub-national administrative units using NASA MODIS collection 6.1 satellite data. Produced by the World Food Programme (WFP), the records include current vegetation health, long-term averages, and percentage anomalies. The data is structured to support environmental monitoring at the district or provincial level using standardized Pcode references.
Use Cases
Monitoring agricultural health by comparing current NDVI (vim) against the long-term average (vim_lta)
Identifying drought or flood impacts using the NDVI anomaly percentage (viq)
Spatial analysis of vegetation trends across different Malaysian administrative units using Pcode references
Strengths
Uses NASA MODIS collection 6.1 high-resolution satellite data
Includes long-term average (vim_lta) for historical baseline comparison
Provides pixel counts (n_pixels) to indicate the statistical weight of each aggregate
Limitations
Aggregated at the sub-national level, which masks local-scale vegetation variations
Accuracy is dependent on cloud-free satellite observations for pixel counts
Provenance
Source
World Food Programme (WFP) via NASA Moderate Resolution Imaging Spectroradiometer (MODIS)
Collection Method
Sensor data aggregation from Aqua and Terra satellites
Freshness
Last updated March 2026.
Geography
Malaysia
Users should utilize the Pcode reference to join this data with other WFP or sub-national administrative shapefiles; the data is licensed under CC-BY.