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Forest fire incidences are one of the most detrimental disasters that may cause long terms effects on forest ecosystems in many parts\udof the world. In order to minimize environmental damages of fires on forest ecosystems, the forested areas with high fire risk should\udbe determined so that necessary precaution measurements can be implemented in those areas. Assessment of forest fire fuel load can\udbe used to estimate forest fire risk. In order to estimate fuel load capacity, forestry parameters such as number of trees, tree height,\udtree diameter, crown diameter, and tree volume should be accurately measured. In recent years, with the advancements in remote\udsensing technology, it is possible to use airborne LIDAR for data estimation of forestry parameters. In this study, the capabilities of\udusing LIDAR based point cloud data for assessment of the forest fuel load potential was investigated. The research area was chosen\udin the Istanbul Bentler series of Bahceköy Forest Enterprise Directorate that composed of mixed deciduous forest structure

USING AIRBORNE LIDAR DATA FOR ASSESSMENT OF FOREST FIRE FUEL LOAD POTENTIAL