Identifying Regenerated Saplings by Stratifying Forest Overstory Using Airborne LiDAR Data.

ABSTRACT: Identifying the spatiotemporal distributions and phenotypic characteristics of understory saplings is beneficial in exploring the internal mechanisms of plant regeneration and providing technical assistances for continues cover forest management. However, it is challenging to detect the understory saplings using 2-dimensional (2D) spectral information produced by conventional optical remotely sensed data. This study proposed an automatic method to detect the regenerated understory saplings based on the 3D structural information from aerial laser scanning (ALS) data. By delineating individual tree crown using the improved spectral clustering algorithm, we successfully removed the overstory canopy and associated trunk points. Then, individual understory saplings were segmented using an adapt

SUBMITTER: Du L 

PROVIDER: S-EPMC10851578 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature