We provide 40 m resolution wildfire spread, hazard and exposure metric raster grids for the 0.13 million ha fire-prone Bages County in central Catalonia (northeastern Spain) corresponding to node influence grid (NIG), crown fraction burned (CFB) and fire transmission to residential houses (TR). Fire spread and behavior data (NIG, CFB and fire perimeters) were generated with fire simulation mode...

We present a spatially explicit Landscape Fire-Succession Model (LFSM) developed to represent Mediterranean Basin landscapes and capable of integrating modules and functions that explicitly represent human activity. Plant-functional types are used to represent spatial and temporal competition for resources (water and light) in a rule-based modelling framework. Vegetation dynamics are represente...

The wildfire prediction model is crucial for accurate rescue and rapid evacuation. Existing models mainly adopt regular grids or fire perimeters to describe the landscape. However, these have difficulty in explicitly demonstrating local spread details, especially a complex In this paper, we propose with an irregular graph network (IGN). This implemented IGN generation algorithm characterize wil...

Wild-land fire fighting is a hazardous job. A key task for firefighters is to observe the “fire front” to chart the progress of the fire and areas that will likely spread next. Lack of information of the fire front causes many accidents. Using Unmanned Aerial Vehicles (UAVs) to cover wildfire is promising because it can replace humans in hazardous fire tracking and significantly reduce operatio...

Simulation models rely on many parameters to model the structure and behavior of systems under study. To achieve accurate simulation results, there is a need to develop methods to dynamically estimate the correct set of model parameters for a given simulation scenario. In this paper, we present a method to dynamically estimate model parameters by assimilating real time data using Sequential Mon...

Assimilating real time data into wildfire spread simulations has the potential to improve simulation results of wildfires, which are complex and dynamic in nature. Our previous work developed a data assimilation method based on particle filters (PF) to estimate the state of a wildfire. This method, however, does not work effectively when there are significant events, such as new ignited fires, ...

Wildfire cumulative frequency – area distributions of Mediterranean landscapes are examined for agreement with self-similar (fractal) behavior. Our results support landscape-specific restricted scaling regions of 1.5 – 3.5 orders of magnitude in size, which are delimited by breakpoints or ‘cut-offs’. By identifying the extent of such regions in the fractal frequency – area distribution of wildf...

The introduction or modification of land use regulations and sustainability initiatives over the last few decades has arguably increased the complexity of forest planning processes. Given the planning goals of a land management organization, both spatial and temporal characteristics of desired future landscapes may now be important to recognize. In some cases of planning, wildfire plays an impo...

Wildfire in forests and rangelands, apart from its initiating causes, is considered as an ecological disaster. Zoning natural areas according to their susceptibility to fire helps to put off operations and reduces catastrophic losses caused through a wise management plan. In this study, the zoning map of wildfire risk in forest and rangeland areas has been produced using GIS, Analytical Hierarc...