3D-TREES-PAN: A LiDAR Point Cloud Dataset for Forest Structure Instance-Level Tree Panoptic Segmentation

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

Read full text
Authors: Samuel Novoa Comesaña, Víctor Méndez Vales, Gabriel E. Suárez-Fernández, Maria Ruiz Maíz, Joaquín Martínez-Sánchez
DOI: 10.5281/zenodo.18595467
Cited by: 0

Abstract

This repository includes the key results and datasets used in the study "3D-TREES-PAN: A LiDAR Point Cloud Dataset for Forest Structure Instance-Level Tree Panoptic Segmentation". A selection of datasets is available here, certain larger data files are available upon request from the corresponding author due to their size. This collection provides comprehensive resources for the development, evaluation, and benchmarking of panoptic segmentation methods in forest environments. Currently, asociated article currently "Under Review"

Fields of Study & Subjects

Remote Sensing and LiDAR Applications Advanced Neural Network Applications 3D Shape Modeling and Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
10 February 2026
Language
EN
Document type
Dataset