Efficient Registration of Airborne LiDAR and Terrestrial LiDAR Point Clouds in Forest Scenes Based on Single-Tree Position Consistency DOI Open Access
Xiaolong Cheng, Xinyu Liu, Yun Huang

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(12), P. 2185 - 2185

Published: Dec. 12, 2024

Airborne LiDAR (ALS) and terrestrial (TLS) data integration provides complementary perspectives for acquiring detailed 3D forest information. However, challenges in registration arise due to feature instability, low overlap, differences cross-platform point cloud density. To address these issues, this study proposes an automatic method based on the consistency of single-tree position distribution multi-species complex scenes. In method, positions are extracted as points using Stepwise Multi-Form Fitting (SMF) technique. A novel matching is proposed by constructing a polar coordinate system, which achieves fast horizontal registration. Then, Z-axis translation determined through Cloth Simulation Filtering (CSF) grid-based methods. Finally, Iterative Closest Point (ICP) algorithm employed perform fine The experimental results demonstrate that high accuracy across four plots varying complexity, with root-mean-square errors 0.0423 m, 0.0348 0.0313 0.0531 m. significantly improved compared existing methods, time efficiency enhanced average 90%. This offers robust accurate performance diverse environments.

Language: Английский

Individual tree branch and leaf metrics extraction in dense plantation scenario through the fusion of drone and terrestrial LiDAR DOI
Yupan Zhang, Yiliu Tan, Xin Xu

et al.

Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 232, P. 110070 - 110070

Published: Feb. 17, 2025

Language: Английский

Citations

1
An Improved RANSAC-ICP Method for Registration of SLAM and UAV-LiDAR Point Cloud at Plot Scale DOI Open Access
Shuting Zhang, Hongtao Wang, Cheng Wang

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(6), P. 893 - 893

Published: May 21, 2024

Simultaneous Localization and Mapping (SLAM) using LiDAR technology can acquire the point cloud below tree canopy efficiently in real time, Unmanned Aerial Vehicle (UAV-LiDAR) derive of canopy. By registering them, complete 3D structural information trees be obtained for forest inventory. To this end, an improved RANSAC-ICP algorithm registration SLAM UAV-LiDAR at plot scale is proposed study. Firstly, features are extracted transformed into 33-dimensional feature vectors by descriptor FPFH, corresponding pairs determined bidirectional matching. Then, RANSAC employed to compute transformation matrix based on reduced set points coarse cloud. Finally, iterative closest used iterate achieve precise The validated both coniferous broadleaf datasets, with average mean absolute distance (MAD) 11.332 cm dataset 6.150 dataset. experimental results show that method study effectively applied alignment multi-platform clouds.

Language: Английский

Citations

6
Drone LiDAR Occlusion Analysis and Simulation from Retrieved Pathways to Improve Ground Mapping of Forested Environments DOI Creative Commons
Miao Zhang, Christopher Gomez, Yoshinori Shinohara

et al.

Drones, Journal Year: 2025, Volume and Issue: 9(2), P. 135 - 135

Published: Feb. 12, 2025

Drone-mounted LiDAR systems have revolutionized forest mapping, but data quality is often compromised by occlusions caused vegetation and terrain features. This study presents a novel framework for analyzing predicting occlusion patterns in forested environments, combining the geometric reconstruction of flight paths with statistical modeling ground visibility. Using field collected at Unzen Volcano, Japan, we first developed an algorithm to retrieve drone from timestamped pointclouds, enabling post-processing optimization, even when original are unavailable. We then created mathematical model quantify shadow effects obstacles implemented Monte Carlo simulations optimize parameters different stand characteristics. The results demonstrate that lower-altitude flights (40 m) narrow scanning angles achieve highest visibility (81%) require more paths, while higher-altitude wider offer efficient coverage (47% visibility) single paths. For 250 trees per 25 hectares (heights 5–15 m), analysis showed above 90 degrees consistently delivered 46–47% visibility, regardless height. research provides quantitative guidance optimizing surveys though future work needed incorporate canopy complexity seasonal variations.

Language: Английский

Citations

0
Automated registration of forest point clouds from terrestrial and drone platforms using structural features DOI
Yiliu Tan, Xin Xu, Hangkai You

et al.

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2025, Volume and Issue: 223, P. 28 - 45

Published: March 12, 2025

Language: Английский

Citations

0
Individual Trunk Segmentation and Diameter at Breast Height Estimation Using Mobile LiDAR Scanning DOI Open Access

Aoxiang Sun,

Ruifeng Su, Jianhua Ma

et al.

Forests, Journal Year: 2025, Volume and Issue: 16(4), P. 582 - 582

Published: March 27, 2025

Accurate forest monitoring and resource assessment are crucial for sustainable management, with tree diameter at breast height (DBH) serving as a key metric growth carbon storage estimation. In this study, we developed comprehensive mobile-LiDAR-based point cloud processing pipeline to segment individual trees estimate the DBH of trees. We first conducted terrain extraction using resolution-passing method combined cloth simulation filter. Then, by leveraging vertical structural characteristics changes in density, achieved high-performance trunk segmentation. On basis, deployed Randomized Hough Transform algorithm Finally, large-scale experiment was (Olympic Forest Park, Beijing, China) provided experimental results comparing our segmentation estimation ground-truth measurements recorded manually. Eventually, showed that 97.4% were accurately segmented, error reduced 3.2 cm, which shows proposed is able achieve high-accuracy high-precision Further, research demonstrates integrating MLS SLAM technology can enhance efficiency accuracy surveys, providing valuable tool future management strategies.

Language: Английский

Citations

0
Mapping Individual Tree- and Plot-Level Biomass Using Handheld Mobile Laser Scanning in Complex Subtropical Secondary and Old-Growth Forests DOI Creative Commons

Nelson Pak Lun Mak,

Tin-Yan Siu, Ying Ki Law

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1354 - 1354

Published: April 10, 2025

Forests are invaluable natural resources that provide essential ecosystem services, and their carbon storage capacity is critical for climate mitigation efforts. Quantifying this would require accurate estimation of forest structural attributes deriving aboveground biomass (AGB). Traditional field measurements, while precise, labor-intensive often spatially limited. Handheld Mobile Laser Scanning (HMLS) offers a rapid alternative building inventories; however, its effectiveness accuracy in diverse subtropical forests with complex canopy structure remain under-investigated. In study, we employed both HMLS traditional surveys within structurally plots, including old-growth (Fung Shui Woods) secondary forests. These characterized by dense understories abundant shrubs lianas, as well high stem density, which pose challenges Light Detection Ranging (LiDAR) point cloud data processing. We assessed tree detection rates extracted attributes, diameter at breast height (DBH) height. Additionally, compared tree-level plot-level AGB estimates using allometric equations. Our findings indicate successfully detected over 90% trees types precisely measured DBH (R2 > 0.96), although exhibited relatively higher uncertainty 0.35). The derived from were comparable to those obtained measurements. By producing highly demonstrates potential an effective non-destructive method inventory forests, making it competitive option aiding estimations environments.

Language: Английский

Citations

0
Terrain and individual tree vertical structure-based approach for point clouds co-registration by UAV and Backpack LiDAR DOI Creative Commons

T. Zhang,

Xin Shen, Lin Cao

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2025, Volume and Issue: 139, P. 104544 - 104544

Published: May 1, 2025

Language: Английский

Citations

0
Towards automatic urban tree inventory: Enhancing tree instance segmentation via moving object removal and a chord length-based DBH estimation approach DOI

Wai Yi Chau,

Jun Kang Chow,

Tun Jian Tan

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 226, P. 109378 - 109378

Published: Aug. 29, 2024

Language: Английский

Citations

3
Dynamic whole-life cycle measurement of individual plant height in oilseed rape through the fusion of point cloud and crop root zone localization DOI

Xuan Lv,

Xiaole Wang, Yu Wang

et al.

Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 236, P. 110505 - 110505

Published: May 6, 2025

Language: Английский

Citations

0
3D terrestrial LiDAR for obtaining phenotypic information of cigar tobacco plants DOI
Qingsong Zhang,

Zhiling Chen,

Zhaoke Zhou

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 226, P. 109424 - 109424

Published: Sept. 7, 2024

Language: Английский

Citations

2