This paper describes methods used for gathering, processing, analysis and interpretation of data on urban vegetation gained by laser scanning from the air, based on the example from Nikola Šubić Zrinski square in Zagreb. The goal of this thesis was to show processing of 3D point cloud data, classification, visualization and different methods and possibilities for implementing such data in measuring and monitoring vegetation in urban areas, based on the laser scanning from the air. Laser scanning from the air and analysis of gathered data resulted in georeferenced 3D point cloud, classified into 4 classes. Obtained results include the demonstration of classified point cloud data in three dimensions, keeping all the spatial information (x, y, z coordinates), statistical comparison and graphical display of data obtained from the field measuring and laser scanning from the air, and formation of GIS database. Average tree height form field measurements equated to 24,02 meters, while the average height obtained from the point cloud equated to 23,0 meters. Statistical and graphical analysis demonstrated strong correlation between data. Correlation coefficient between two measuring was statistically significant and equated to rs=0,91. LiDAR technology, based on laser scanning from the air or from the ground, proved to be widely applicable technology that also finds usage in urban areas vegetation analysis where it enables data gathering which complements with standard photointerpretation methods.