The topic is focused on the usability of handheld laser scanners and SLAM technology, simultaneous landing and mapping, in the forestry practice. The aim of the research was to derive the position of trees from the point cloud created by a handheld laser scanner using SLAM technology and to evaluate the positional accuracy of the trees. Partial aims of the work are focused on the collection of reference data as a position of objects in the area of interest, designing a methodology for using equipment in a forest environment, practical verification of the procedure by its application in collecting data from the area of interest located in the selected forest stand and subsequent derivation of tree and stand variables. The manual laser scanner ZEB REVO was used to collect information about the forest. The data obtained from point cloud will be compared with the reference data set, which was collected via traditional field survey (the method of geodesy and traditional methods of collecting data about the forest). In the results of the work, we point out the high potential of handheld laser scanners and SLAM technology in forestry, by evaluating the positional accuracy of the axes of trunks. Also, the accuracy of the calculated tree diameter was investigated.