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Hybrid FAPAR and FVC retrieval from Sentinel-3 SYNERGY with Gaussian processes: Development, validation, and cloud-readiness
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DOI：10.1016/j.srs.2026.100462.png)
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Abstract
En 中文
• Gaussian processes regression models retrieve FAPAR/FVC from Sentinel-3 SYNERGY imagery. • Validation of GPR-SYN against GBOV land products shows comparable accuracy to CLMS. • Intercomparisons show GPR-SYN slightly underestimates FAPAR/FVC relative to CLMS. • GPR-SYN models are efficient and provide uncertainty estimates. • Europe-wide maps demonstrate the scalability of the cloud-based GPR-SYN models.
Keywords:
Fraction of absorbed photosynthetically active radiation
Retrieval
Fractional vegetation cover
Sentinel-3 SYNERGY
SCOPE
Radiative transfer model
Gaussian processes regression
GBOV
Validation
Journal
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5.2
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457
Citations:
980
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