Biomass burning is one of the critical components of the Earth system, significantly affecting
atmospheric emissions and carbon budgets. Fires occurring in the interface between …

Fuel moisture content (FMC) of live vegetation is a crucial wildfire risk and spread rate driver.
This study presents the first daily FMC product at a global scale and 500 m pixel resolution …

Live fuel moisture content (LFMC) is an essential variable to model fire danger and
behaviour. This paper presents the first application of deep learning to LFMC estimation …

This paper presents a novel method to derive grassland aboveground biomass (AGB) based
on the PROSAILH (PROSPECT+ SAILH) radiative transfer model (RTM). Two variables, leaf …

As regulated by the 'fire environment triangle', three major forces are essential for
understanding wildfire danger:(1) topography,(2) weather and (3) fuel. Within this concept …

Previous studies have shown that Live Fuel Moisture Content (LFMC) is a crucial driver
affecting wildfire occurrence worldwide, but the effect of LFMC in driving wildfire occurrence …

Live fuel moisture content (LFMC) is a crucial variable affecting the ignition potential of
shrublands. Different remote sensing-based models (either empirical or physical) have been …

Live fuel moisture content (LFMC) is an important index used to evaluate the wildfire risk and
fire spread rate. In order to further improve the retrieval accuracy, two ensemble models …

Fuel moisture content (FMC) is a crucial variable affecting fuel ignition and rate of fire
spread. Much work so far has focused on the usage of remote sensing data from multiple …

Leaf area index (LAI) is a key biophysical parameter for monitoring crop growth status,
predicting crop yield, and quantifying crop variability in agronomic applications. Mapping the …