一个多层城市树数据集,包括点云,定量结构和图形模型
Hadi Yazdi1, Qiguan Shu2, Thomas Rötzer3
1School of Engineering and Design, Technical University of Munich, Munich, 80333, Germany. hadi.yazdi@tum.de.
Scientific data
|January 4, 2024
概括
一个新的数据集,TreeML-Data,为使用遥感研究城市树木提供了有价值的资源. 质量检查证实了它在城市林业和生态系统分析研究方面的可靠性.
科学领域:
- 城市生态学 城市生态学
- 遥感是一种远程传感.
- 计算机视觉 计算机视觉 计算机视觉
背景情况:
- 城市树木对人类健康至关重要,特别是随着城市化和气候变化的增加.
- 遥感技术为城市树木研究提供了先进的方法.
- 树ML-数据数据集旨在支持这些研究工作.
研究的目的:
- 为了介绍和描述TreeML-Data数据集.
- 为研究城市树木提供全面的资源.
- 促进相关科学领域的模型的开发和评估.
主要方法:
- 从街道扫描和单个树木 (脱落的树叶) 中编制标记的点云.
- 包括定量结构模型 (QSM),树结构测量和图形模型.
- 对树结构测量和QSM与手动测量进行交叉检查.
主要成果:
- 该数据集包含3,755个单独树的叶子点云和40个街道扫描项目.
- 提供了定量结构模型和树结构测量.
- 树直径与乳房高度 (DBH) 的测量显示与手动测量的偏差为4.3%.
结论:
- 树ML-数据数据集是城市树木研究的可靠资源.
- 该数据集支持各种科学学科,包括遥感,计算机视觉和城市林业.
- 质量控制确保数据集适合生成和评估科学模型.
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