NASA SIF-ESDR Project: Global Solar-Induced Chlorophyll Fluorescence Estimates

Global solar-induced chlorophyll fluorescence (SIF) estimates at 0.05-degree resolution from multiple satellite instruments. The dataset includes harmonized monthly data from 2003 to 2017 from SCIAMACHY and GOME-2, daily 16-day composite data from 2014 to 2020 derived from OCO-2, and daily orbital data from 1995 to 2003 from the GOME instrument. Data were processed using machine learning techniques like Random Forest and artificial neural networks, with validation against airborne and ground-based measurements.

Use Cases

• Dynamic drought monitoring and mitigation based on global SIF estimates.
• Agricultural yield estimation informed by high-resolution, spatially-contiguous SIF data.
• Land degradation evaluation research using long-term, harmonized fluorescence records.
• Benchmarking upcoming satellite missions with SIF capabilities based on the provided high-resolution product.

Strengths

• Data spans multiple time periods, with the longest record covering from 1995 to 2020.
• High spatial resolution of 0.05 degrees (approximately 5 km at the equator) for the primary products.
• Validation showed high spatial and temporal consistency with original retrievals and good correlation with independent measurements.
• Uncertainty of the harmonized SIF estimates was quantified and provided.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Data retrieved from SCIAMACHY, GOME-2, and OCO-2 satellite instruments, processed by NASA SIF ESDR Project.

Collection Method

Data were downscaled using Random Forest and ANN algorithms with MODIS and MERRA-2 predictors, then harmonized with CDF matching.

Time Range

Multiple periods: January 2003–December 2017; September 2014–July 2020; July 1995–June 2003.

Freshness

null

Geography

Global coverage.