FOREST MODELING AND INVENTORY ESTIMATION USING LIDAR DATA

Abstract. Aerial laser scanners find rapidly growing interest in photogrammetry and remote sensing as an efficient tool for reliable three-dimensional extraction modelling of forest inventory information. In addition to interactive measurements 3D point clouds, techniques automatic objects determination geometric parameters form a high important research issues (Maas, Bienert et al. 2008). This paper presents novel approach on the individual trees from Idaho National Forest USA calculation statistical estimation each extracted segment future analysing. Lidar cloud contains structure information which is used estimate tree segments. this study, we worked raster surface made directly LiDAR two main models, namely digital terrain model (DTM) (DSM), are generated when clouds processed by filtering method. Then have segmentation extract segments triggering process that facilitates such crown diameter, eccentricity, other additional attributes. The proposed method results 73% correctness, 92% completeness 81% F1-score.