A novel and efficient method for wood–leaf separation from terrestrial laser scanning point clouds at the forest plot level-Reference-Cited by-同舟云学术

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A novel and efficient method for wood–leaf separation from terrestrial laser scanning point clouds at the forest plot level

Published:2021-09-18 Issue:12 Volume:12 Page:2473-2486
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Wan Peng¹^ORCID,Shao Jie²,Jin Shuangna³,Wang Tiejun⁴,Yang Shengmei¹,Yan Guangjian³,Zhang Wuming²

Affiliation:

1. Changjiang River Scientific Research Institute (CRSRI) Wuhan China

2. School of Geospatial Engineering and Science Sun Yat‐sen University Zhuhai China

3. Faculty of Geographical Science Beijing Normal University Beijing China

4. Faculty of Geo‐Information Science and Earth Observation (ITC) University of Twente Enschede The Netherlands

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13715

Reference43 articles.

1. HELIOS: A MULTI-PURPOSE LIDAR SIMULATION FRAMEWORK FOR RESEARCH, PLANNING AND TRAINING OF LASER SCANNING OPERATIONS WITH AIRBORNE, GROUND-BASED MOBILE AND STATIONARY PLATFORMS

2. 3D terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: Applications in geomorphology

3. Terrestrial laser scanning in forest ecology: Expanding the horizon

4. Estimation of forest leaf area index using terrestrial laser scanning data and path length distribution model in open-canopy forests

5. The structural and radiative consistency of three-dimensional tree reconstructions from terrestrial lidar

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1. ANN-Based Filtering of Drone LiDAR in Coastal Salt Marshes Using Spatial–Spectral Features;Remote Sensing;2024-09-11

2. Cluster-Based Wood–Leaf Separation Method for Forest Plots Using Terrestrial Laser Scanning Data;Remote Sensing;2024-09-10

3. Dynamic region growing approach for leaf-wood separation of individual trees based on geometric features and growing patterns;International Journal of Remote Sensing;2024-09-10

4. Exploring 3D spatial structure variations of a forest stand caused by Moso bamboo expansion using terrestrial laser scanner;Ecological Indicators;2024-09

5. Status, advancements and prospects of deep learning methods applied in forest studies;International Journal of Applied Earth Observation and Geoinformation;2024-07

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