Global Solar-Induced Chlorophyll Fluorescence Estimates at 5-km Resolution

Spatially-contiguous global mean daily solar-induced chlorophyll fluorescence (SIF) estimates are provided at 0.05-degree (approximately 5 km) spatial and 16-day temporal resolution. The dataset was produced by NASA using an artificial neural network trained on OCO-2 SIF observations and MODIS reflectance data, covering the period from September 2014 through July 2020. This high-resolution product enhances the synergy between satellite SIF measurements and ground-based photosynthesis studies.

Use Cases

• Dynamic drought monitoring and mitigation using global SIF time-series.
• Agricultural planning and crop yield estimation based on vegetation fluorescence signals.
• Benchmarking upcoming high-resolution satellite SIF missions.
• Studying ecosystem functions and primary production across different biomes.
• Analyzing chlorophyll and leaf characteristics at a consistent global spatial scale.

Strengths

• Provides global contiguous coverage at a high 0.05-degree (5 km) spatial resolution.
• Derived using a sophisticated method involving an artificial neural network trained on OCO-2 and MODIS data.
• Covers a significant time range of nearly six years, from September 2014 to July 2020.
• Framework is stratified by biomes and 16-day time steps for improved accuracy.

Limitations

• Specific row count, file size, and column names are not provided by any source.
• Sources conflict on the last updated date: one states 2026-03-13, while another states 2020-07 -31.

Provenance

Source

National Aeronautics and Space Administration (NASA)

Collection Method

Produced by training an artificial neural network on native OCO-2 SIF observations and MODIS BRDF-corrected seven-band surface reflectance, then applied to predict SIF in gap regions.

Time Range

September 2014 through July 2020

Freshness

2026-03-13 01:52:55.890924

Geography

Global