Advancing fine branch biomass estimation with lidar and structural models.

ABSTRACT:

Background and aims

Lidar is a promising tool for fast and accurate measurements of trees. There are several approaches to estimate above-ground woody biomass using lidar point clouds. One of the most widely used methods involves fitting geometric primitives (e.g. cylinders) to the point cloud, thereby reconstructing both the geometry and topology of the tree. However, current algorithms are not suited for accurate estimation of the volume of finer branches, because of the unreliable point dispersions from, for example, beam footprint compared to the structure diameter.

Method

We propose a new method that couples point cloud-based skeletonization and multi-linear statistical modelling based on structural data to make a model (structural model) that accurately estimates the a

SUBMITTER: Millan M 

PROVIDER: S-EPMC11341666 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature