Daily Global Vegetation Index from MetOp-B Satellite

Normalized Difference Vegetation Index (NDVI) data provides a daily measure of global vegetation health derived from the MetOp-B AVHRR sensor. The dataset is part of the Long-Term Data Record project, which bridges data from multiple polar-orbiting satellite missions to create a climate data record. It is produced and distributed by the LAADS organization.

Use Cases

• Model crop yield or drought stress by analyzing temporal NDVI trends over agricultural regions.
• Monitor deforestation and land cover change by detecting persistent drops in NDVI values for specific geographic pixels.
• Calibrate and validate ecosystem models using the daily, atmospherically corrected surface reflectance-derived NDVI.
• Study phenology and growing season length by tracking the seasonal cycle of NDVI values for different biomes.
• Assess the impact of climate events on vegetation by correlating NDVI anomalies with temperature and precipitation data.

Strengths

• Daily temporal resolution enables tracking of rapid vegetation changes.
• Global spatial coverage at 0.05-degree resolution provides a consistent worldwide view.
• Data is atmospherically corrected and BRDF-corrected to improve accuracy for climate studies.
• Integrates into a long-term record bridging data from eight AVHRR missions for continuity.

Limitations

• Specific row count, file size, and exact temporal coverage are not provided in the input.
• Data is stored in HDF4 format, which may require specialized libraries for access and processing.
• The experimental LAI/fPAR product mentioned may have lower validation maturity.

Provenance

Source

LAADS (Level-1 and Atmosphere Archive & Distribution System) via NASA Earthdata.

Collection Method

Derived from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (M1_AVH01C1) from the MetOp-B AVHRR sensor.

Time Range

null

Freshness

null

Geography

Global