Fuel moisture content (FMC) of live vegetation is a crucial wildfire risk and spread rate driver. This dataset is the first FMC product on a global scale from 2000 to 2018. This global FMC product was generated based on a physically-based methodology under the radiative transfer process using reflectance data from MODIS (Moderate Resolution Imaging Spectrometer) 's MCD43A4 Collection 6. The global FMC product was validated using worldwide FMC measurements from 120 sites with the statistically significant agreement between retrieved and measured FMC (R2 = 0.62, RMSE = 34.57%, p < 0.01). It is anticipated that this global FMC product can assist in wildfire danger early prediction, suppression, and response, as well as improve awareness of fire risk to life and property. For details: https://www.sciencedirect.com/science/article/pii/S0303243421000611 Note: The original LFMC dataset has a spatial resolution of 0.005 degrees (~500 meters). However, due to its large size, it could not be hosted on Zenodo. Therefore, we resampled it to a resolution of 0.05 degrees (~5000 meters) here.

https://www.sciencedirect.com/science/article/pii/S0303243421000611