Based on climate- and weather conditions, forest fires are about to increase extensive in the near future. Forest fires develop rapidly in dry areas to an extent, that whole areas get desolate and vast. In spring 2016, in California, numberless of woodland areas burned down due to extreme dry weather conditions. For this reason, systematic and regular monitoring of forest fire risk areas is indispensable. There are two major procedure to monitor forest areas, the modern satellite systems and the airborne laser scanning, which is becoming increasingly important to determine and deduct forest fires parameters. The present work deals with the generation of forest fire maps from airborne laserscanning data. This maps are derived and analyzed for forest areas in Kanton Bern in Switzerland. The work is divided in a theoretical composition (section 2 until 4) and in a practical composition (section 5 until 7). The theoretical chapter mainly includes a literature review and theoretical explanation of the state of research in forest fire prediction. The next chapters consist of analyzing forest parameter which are superior to forest fire maps The practical part deals with further calculations of forest fire parameters programmed in the python based laser scanning software OPALS. The relevant parameters are, tree height, crown length, canopy height, covering grade, consisted gap and classification the tree height with the help of grew classes. Using this parameters and present referent data, the derivation of security levels is carried out, which classifies a forest conflagration. Finally, a visual representation of the forest fire maps with the software QGIS, will be done.