Application of Landsat ETM+ and OLI Data for Foliage Fuel Load Monitoring Using Radiative Transfer Model and Machine Learning Method
Foliage fuel load (FFL) is a critical factor affecting crown fire intensity and rate of spread.Satellite observations provide the potential for monitoring FFL dynamics across large areas.Previous studies commonly used empirical methods to estimate FFL, which potentially lacks reproducibility.This study applied Landsat 7 ETM+ and 8 OLI data f