Automatic tree detection and attribute characterization using portable terrestrial lidar

Abstract Key message This study details a methodology to automatically detect the positions of and dasometric information about individual Eucalyptus trees from point cloud acquired with portable LiDAR system. Currently, implementation laser scanners (PLS) in forest inventories is being studied, since they allow for significantly reduced field-work time costs when compared traditional inventory methods other systems. However, it has been shown that their operability efficiency are dependent upon species assessed, therefore, there need more research assessing different types stands species. Additionally, few studies have conducted stands, one tree genus most commonly planted around world. In this study, PLS system was tested globulus stand obtain metrics trees. An automatic data (individual positions, DBH, diameter at heights, height trees) developed using public domain software. The results were obtained static terrestrial scanner (TLS). able identify 100% present both TLS clouds. For cloud, RMSE DBH 0.0716, 0.176. 3.415 m, while 10.712 m. demonstrates applicability systems estimation adult stands.