Leaf And Wood Classification Framework For Terrestrial Lidar Point Clouds: Field Data Validation Dataset

Name: Leaf And Wood Classification Framework For Terrestrial Lidar Point Clouds: Field Data Validation Dataset
Creator: Department of Geography, University College London, Gower Street, London WC1E 6BT, United Kingdom; NERC National Centre for Earth Observation, Leicester, UK; Department of Geography, University College London, Gower Street, London WC1E 6BT, United Kingdom; epartment of Geography, University College London, Gower Street, London WC1E 6BT, United Kingdom; CAVElab - Computational \& Applied Vegetation Ecology, Ghent University, Coupure Links 653, 9000 Gent, Belgium
Published: 2018-07-31T00:00:00+08:00

Zenodo2018-07-31 更新2026-04-07 收录

树叶与木材分类

地面激光雷达点云

数据链接：

https://zenodo.org/record/1324156 数据链接链接失效反馈

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资源简介：

Set of 10 3D point clouds used in the validation of "Leaf and wood classification framework for terrestrial LiDAR point clouds". This dataset is a collection of single trees scanned around the globe, from different biomes (both forest and urban areas), using the Riegl VZ-400 terrestrial laser scanner.

提供机构：

Department of Geography, University College London, Gower Street, London WC1E 6BT, United Kingdom; NERC National Centre for Earth Observation, Leicester, UK; Department of Geography, University College London, Gower Street, London WC1E 6BT, United Kingdom; epartment of Geography, University College London, Gower Street, London WC1E 6BT, United Kingdom; CAVElab - Computational \& Applied Vegetation Ecology, Ghent University, Coupure Links 653, 9000 Gent, Belgium

创建时间：

2018-07-31