This study focuses on the evaluation of the accuracy and feasibility of the use of the new Google Tango technology for outdoor measurements in forest inventory tasks. The technology uses RGB-D and inertial sensors and visual Simultaneous Localization and Mapping (SLAM) and combines them with compact mobile devices. Three circular test plots, established using forest inventory methodology, were used for the testing. Tree position references were measured using a total station; reference diameters at breast height (DBH) were acquired using callipers. Close-range photogrammetry and Field-Map measurements were conducted for comparison. Root mean square errors (RMSE) of the DBHs acquired using the Tango device were up to two centimetres. The positional accuracy was highly dependent on scanning methods. Two patterns of scanning were designed for the testing – “Spiral” and “Sun”. RMSE of positions were over one metre for the Spiral pattern and 0.20m for the Sun pattern. These results are comparable with some earlier reported results of other technologies, which provide 3D point clouds (photogrammetry, laser scanning). Field experiences related to the use of the hardware and software are also reported. With the further development of hardware and dedicated software, the Google Tango platform could provide a feasible, sufficiently accurate, and cost-effective solution for various measurements in forests where point clouds are applicable.