Detection of trees features from a forestry area using airborne LiDAR data

Ioana VIZIREANU, Andreea CALCAN, Georgiana GRIGORAS, Dan RADUCANU
2021 INCAS Bulletin  
The impact of anthropogenic actions on the environment and climate has recently increased the need to map the afforested areas. In this context, the three-dimensional (3D) measurement of vegetation structures plays an important role in having an efficient forest inventory and management. Nowadays, the airborne LiDAR (Light Detection And Ranging) system offers high horizontal resolution as well as vertical dimension information, making it possible to estimate both three-dimensional
more » ... ional characteristics of individual trees and to identify the distribution of forest resources in the region. This study aims to present a processing approach for the determination of each tree's position (X and Y location, as well as tree height) and its dimensions (crown diameter, area and volume) using geometrically accurate 3D point clouds (data sets were collected in a forested area in Argeș County, Romania). To a better understanding of the forest features and to explore the potential of remote sensing for such analysis, it was further exploited Digital Terrain Model (DTM), Digital Surface Model (DSM), and Canopy Height Model (CHM) derivation.
doi:10.13111/2066-8201.2021.13.1.23 doaj:0be2582cb41a43118b815131bf46ac2f fatcat:aqpzvkf4sfbclc7upbjdjiwc7u