The aim of this thesis was to analyze possibilities of identification of forest land boundaries, espacially through LiDAR technology – technology used in aerial laser scanning. Exploitation of this technology in forestry is ascending and this is the reason to analyze and to improve possibilities of its enforcement. It is a technology that is very accelerating process of forest mapping in comparison with basic airborne imagery. Scanning rays of LiDAR technology namely penetrates under tree crowns, which suddenly obtain data about terrain and surface. In the thesis are also mentioned other methods of mapping but with aim to forest mapping and its purpose. Futher the thesis deals with issues of forest definition, criteria, by which we can identify as objectively as possible the boundaries of lands overgrown with forest tree species. With an identification relates also white areas – areas overgrown by forests, but designed for another purpose than performing forest functions (in Cadastre of Real Estate registred as another type of property). A separate subchapter consists of examples of the use of LiDAR technology, especially in forestry and related processes. The possibilities of LiDAR technology from Leica Geosystems are briefly described. The key part of the methodology describes the work procedures from the criteria of site selection to the final result. The area was chosen so that it was sufficiently variable in terms of vegetation boundaries, the existence of white areas, draws and other non-forested areas. Futher, the point cloud processing procedure and its classification are described. The following work was performed in programs focused on working with GIS, which include working with rasters and vectors obtained from a point cloud. The forest criteria were defined according to the Technical Manual of Forest Management. Forests with a height of less than 5 m were no longer taken into account. We also present a comparison with the dimensions of white areas compared to the conditions according to Cadastre of Real Estate and Forest spatial distribution unit. In the final part we describe all programs used in the work. As part of the evaluation of the results, we performed an analysis and the possibility of correcting conflicts in the records of forest land boundaries. Part of the work is also the evaluation of the accuracy of forest land identification.