Extraction of Forest Inventory Parameters from Airborne LiDAR
Authors: Vinod Kumar
In the present paper, a novel method to precisely detect individual trees from LiDAR data has been tested. Tree Canopies are delineated using a new approach of Thiessen polygons in ArcGIS. Further an array of important tree parameters such as tree height, tree species, CPA, Canopy Base Height, canopy volume, canopy density, canopy inclination have been extracted from the LiDAR data to prepare forest inventory. Lastly, 3D model of the forest has been created using inventory data.