Global Canopy Chlorophyll Content (CCC) Datasets (2016–2024)

🌿 Global Canopy Chlorophyll Content (CCC) Dataset (2016–2024)
This dataset provides global estimates of effective canopy chlorophyll content (CCC) derived from Sentinel-3 OLCI top-of-atmosphere (TOA) reflectance, using a hybrid two-step upscaling approach that integrates radiative transfer modeling and machine learning.

Data are available at two temporal resolutions:

• 📆 8-Day Composites

  • 🔗 Main entry (Part 1)
  • 📁 Parts 2–5: see full list on GitHub

• 📆 10-Day Composites

  • 🔗 Main entry (Part 1)
  • 📁 Parts 2–4: see full list on GitHub

📄 Citation
If you use this dataset, please cite the following article:

Li, D., Croft, H., Duveiller, G., Schreiner-McGraw, A.P., Belwalkar, A., Cheng, T., Zhu, Y., Cao, W., & Yu, K. (2025).
Global retrieval of canopy chlorophyll content from Sentinel-3 OLCI TOA data using a two-step upscaling method integrating physical and machine learning models.
Remote Sensing of Environment, 328, 114845.
https://doi.org/10.1016/j.rse.2025.114845

📂 Repository
Browse the full download links on GitHub:
👉 https://github.com/lidongmath/Sentinel-3-OLCI-CCC