ECOSTRESS: Global 70m NDVI and Albedo Ancillary Data from ISS

ECOSTRESS Tiled Ancillary NDVI and Albedo L2 Global 70 m V002 is a NASA data product providing Normalized Difference Vegetation Index and albedo measurements at 70-meter resolution. It is derived from VIIRS and Harmonized Landsat Sentinel data using a Bayesian fusion algorithm and is aligned with daytime ECOSTRESS overpasses between 52° N and 52° S latitudes. The product contains four layers: NDVI, NDVI uncertainty, albedo, and albedo uncertainty, distributed in Cloud Optimized GeoTIFF format.

Use Cases

• Modeling plant water stress and evapotranspiration based on NDVI and albedo data.
• Analyzing land surface energy balance using albedo measurements.
• Fusing multi-sensor satellite data for vegetation monitoring using the described STARS algorithm.
• Quantifying uncertainty in vegetation and surface reflectance indices based on the provided uncertainty layers.

Strengths

• Provides four specific data layers: NDVI, NDVI uncertainty, albedo, and albedo uncertainty.
• Uses a Bayesian data fusion methodology (STARS) for uncertainty quantification.
• Has a high spatial resolution of 70 meters and is aligned with ECOSTRESS overpasses.
• Data is provided in a modern, cloud-optimized GeoTIFF (COG) format.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and total dataset size are unknown, which may limit suitability assessment.
• Data acquisition is limited to latitudes between 52° N and 52° S and is only generated for corresponding daytime ECOSTRESS tiles.

Provenance

Source

National Aeronautics and Space Administration

Collection Method

Derived from VIIRS and Harmonized Landsat Sentinel data using a Spatial Timeseries for Automated high-Resolution multi-Sensor data fusion (STARS) algorithm.

Time Range

Data acquisition began after the ECOSTRESS launch on June 29, 2018.

Freshness

Last updated 2026-03-13 02:50:40.923722; freshness should be verified.

Geography

Global coverage between 52° N and 52° S latitudes.