Developing a more accurate method for individual plant segmentation of urban tree and shrub communities using LiDAR technology-Reference-Cited by-同舟云学术

Developing a more accurate method for individual plant segmentation of urban tree and shrub communities using LiDAR technology

Published:2022-11-21 Issue:3 Volume:48 Page:313-330
ISSN:0142-6397
Container-title:Landscape Research
language:en
Short-container-title:Landscape Research

Author:

Liu Yang¹^ORCID,Zhang Xuguang¹,Ma Zitong¹,Dong Nalin¹,Xie Dongbo¹,Li Rui¹,Johnston Douglas M.²,Gao Yu Gary³^ORCID,Li Yonghua¹,Lei Yakai¹

Affiliation:

1. College of Landscape Architecture and Art, Henan Agricultural University, Zheng Zhou, China

2. College of Environmental Science and Forestry, State University of New York, Syracuse, NY, USA

3. South Centers, College of Food, Agricultural and Environmental Sciences, The Ohio State University, Columbus, OH, USA

Funder

THE Key Projects of the Henan Provincial Department of Education

THE Henan Province Science and Technology Research Project

THE Funding Project for Young Backbone Teachers of Higher Education Institutions in Henan Province

THE Henan Province Higher Education Teaching Reform Research and Practice Project

THE Henan Province International Cooperation Research Project

THE Henan Province University Discipline Innovation Base

THE National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,General Environmental Science,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/01426397.2022.2144813

Reference49 articles.

1. Ahmad, H. (2007). The development of multi-layer herbaceous plant communities for use in urban parks and green spaces [PhD thesis]. University of Sheffield.

2. Delineating tree crowns from airborne laser scanning point cloud data using Delaunay triangulation

3. Urban greenspace composition and landscape context influence natural enemy community composition and function

4. Airborne lidar provides reliable estimates of canopy base height and canopy bulk density in southwestern ponderosa pine forests

5. Isolating Individual Trees in a Savanna Woodland Using Small Footprint Lidar Data

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