9Single Tree Canopy Extraction from LiDAR Point Cloud Data
9.1Introduction
With increasing needs in annual forest resource inventory for accurate and effective investigation and management of forest data, many methods have been proposed in the past decades. For example, traditional passive remote sensing, such as multispectral imagery, are affected by weather and surface coverage (Gougeon and Leckie 2001; Sajdak et al. 2014; Unger et al. 2014). Airborne LiDAR technology has unique advantages over passive remote sensing for the accurate extraction of single tree canopy (Zhou et al. 2004, 2013; Zhou and Zhou 2018; Mu et al. 2020). Over the past decades, many algorithms have been developed for extraction of single tree canopy, which can be ...
