Description:
This is a Radiative Transfer Model (RTM)-based Live Fuel Moisture Content (LFMC) product based on the Sentinel-3 Synergy and Sentinel-2 L2A surface reflectance product and a Look-Up Table (LUT)-based inversion procedure.
This product is based on the inversion of Look-Up Tables (LUT) created using a combination of the PROSPECT-D, 4SAIL RTMs and a modified version of Huemmrich’s GeoSail, and convolving the calculated reflectances in the Sentinel-3 SYNERGY and Sentinel-2 MSI channels. The LUTs change depending on the land cover type: PROSPECT-D and 4SAIL are used for grasslands and shrublands, while for forests the 4SAIL output is fed into the Geo component to simulate discontinuous vegetation. The LUT inversion is performed using Random Forest Regression algorithms. Latest publication available here: Pampanoni, Valerio, et al. "Early Validation of A Live Fuel Moisture Content Product Based on Sentinel-2 and Sentinel-3 Images." IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023. https://doi.org/10.1109/IGARSS52108.2023.10281970.
Pampanoni, Valerio, et al. "Using Prosail Look-Up Tables to Train Random Forests Regressors for Fast Live Fuel Moisture Retrieval." IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. https://doi.org/10.1109/IGARSS53475.2024.10642386.
Yebra, M., Dennison, P., Chuvieco, E., Riaño, D., Zylstra, P., Hunt, E.R., Danson, F.M., Qi, Y., & Jurdao, S. (2013). A global review of remote sensing of live fuel moisture content for fire danger assessment: moving towards operational products Remote Sensing of Environment 136, 455-468.