Determination of Forest Structure from Remote Sensing Data for Modeling the Navigation of Rescue Vehicles

One of the primary purposes forest fire research is to predict crisis situations and, also, optimize rescue operations during fires. The results presented in this paper provide a model Cross-Country Mobility (CCM) brigades areas before or fire. In order develop methodology vehicle mobility wooded area, structure must first be determined. We used Digital Surface Model (DSM) and Elevation (DEM) determine Canopy Height (CHM). DSM DEM data were scanned by LiDAR. CHM field measurements for determining approximate (tree height, stem diameters, spacing between trees). Due updating above-mentioned parameters, tree growth equations vegetation curves used. with calculated density (stem spacing) was modeling maneuvers trees. Stem diameter cases where it easier override trees rather than maneuver them. Although are dependent on quality input LiDAR data, designed can optimal paths vehicles across area