Digital twins are a core industry 4.0 technology enabling the virtual replication of real-world
objects, mimicking behaviours and states throughout their lifespan. While digital twins have …

In close‐range remote sensing data collected in a forest, occlusion often causes incomplete
or sparse point cloud representations of individual trees, impeding accurate 3D …

Rapid generation of tree models from point clouds of tree canopies holds wide-ranging
applications in the field of earth sciences, including forest ecology research, environmental …

Fine three-dimensional (3D) reconstruction of real forest scenes can provide a reference for
forestry digitization and forestry resource management applications. Airborne LiDAR …

Visual perception has become a prerequisite for automated jujube harvesting robot
operations under complex orchard conditions. Catch-and-Shake harvesting, as the most …

The CAMHighways dataset is presented, built from mobile mapping data that surveyed over
40 km of UK Highways. The dataset consists of textured meshes for road assets (including …

This paper presents a novel fully automated approach for generating structured 3D synthetic
tree models, addressing the limitations of existing datasets used in applications like digital …

Trees play a crucial role in urban environment, offering distinct ecological and aesthetic
values. Fine-grained urban tree models hold valuable potential for urban landscape …

Allometric models describe properties of trees that are difficult to measure. Here, we provide
a set of allometric models for estimating branch properties for European beech (Fagus …

The 3D reconstruction of point cloud trees and the acquisition of stand factors are key to
supporting forestry regulation and urban planning. However, the two are usually …