Improving the 3D representation of plant architecture and parameterization efficiency of functional-structural tree models using terrestrial LiDAR data.

ABSTRACT: Functional-structural plant (FSP) models are useful tools for understanding plant functioning and how plants react to their environment. Developing tree FSP models is data-intensive and measuring tree architecture using conventional measurement tools is a laborious process. Light detection and ranging (LiDAR) could be an alternative nondestructive method to obtain structural information about tree architecture. This research investigated how terrestrial LiDAR (TLS)-derived tree traits could be used in the design and parameterization of tree FSP models. A systematic literature search was performed to create an overview of tree parameters needed for FSP model development. The resulting structural parameters were compared to LiDAR literature to get an overview of the possibilities and limitat

SUBMITTER: Bekkers V 

PROVIDER: S-EPMC11826235 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature