Global Daily Gross Primary Production from MODIS and FLUXNET

2000-03-01 marks the start of this global dataset providing daily gridded estimates of gross primary production (GPP) at 0.05-degree resolution. GPP is derived from NASA's MODIS satellite instruments using neural networks trained on FLUXNET 2015 tower site data. The dataset is produced by ORNL_CLOUD and is updated periodically.

Use Cases

• Modeling global carbon budgets using daily GPP estimates.
• Validating terrestrial biosphere models against satellite-derived productivity data.
• Analyzing spatial and temporal trends in vegetation photosynthesis.
• Studying the relationship between land surface reflectance (NBAR) and ecosystem function.

Strengths

• Provides a long-term record starting from March 2000, enabling trend analysis.
• Uses a machine learning method (neural networks) to upscale ground-based FLUXNET measurements globally.
• Offers data at a consistent 0.05-degree spatial resolution for global coverage.
• Includes uncertainty estimates for each GPP value.

Limitations

• Specific column names, row counts, and file sizes are not provided by any source.
• Sources conflict on the last update date, listing both 2020-08-01 and 2026-03-13.
• The license is ambiguously listed as 'other-license-specified' or 'None'.

Provenance

Source

ORNL_CLOUD, using NASA Terra and Aqua MODIS instruments and FLUXNET 2015 tower data.

Collection Method

Neural networks applied to MODIS MCD43C4v006 NBAR reflectance data to upscale FLUXNET-derived GPP estimates.

Time Range

2000-03-01 to the recent past

Freshness

2026-03-13 01:53:04.842861

Geography

Global