Mediterranean forests are recurrently affected by fire. The recurrence of fire in such
environments and the number and severity of previous fire events are directly related to fire …

Land cover dynamics influence the spatio-temporal evolution of the Rural-Urban Interface
(RUI). This represents the most prone area for human-caused forest fires ignitions in …

The characterization of fuel types is very important for computing spatial fire hazard and risk
and simulating fire growth and intensity across a landscape. However, due to the complex …

Originally developed to classify multispectral and hyperspectral images, spectral map**
methods were used to classify Light Detection and Ranging (LiDAR) data to estimate the …

Forest fires constitute a natural disturbance factor and an agent of environmental change
with local to global impacts on Earth's processes and functions. Accurate knowledge of …

The exposure of Mediterranean forests to large wildfires requires mechanisms to prevent
and mitigate their negative effects on the territory and ecosystems. Fuel models synthesize …

Light detection and ranging (Lidar) data can be used to create wall-to-wall forest structure
and fuel products that are required for wildfire behavior simulation models. We know that …

Increasing fire size and severity over the last few decades requires new techniques to
accurately assess canopy fuel conditions and change over larger areas. This article …

Fuel types are one of the key variables that drive wildfire ignition and propagation. A new
method is proposed to automatically classify and map fuel types from LiDAR data. The 3 …

Lebanon lacks a system for forecasting wildfire danger with the combined use of dynamic
weather forecasts and comprehensive fire risk information (ie, hazard and vulnerability) …