在喀麦隆的农林系统中种植的可可树的陆地LiDAR点云数据集
Emilie Peynaud1, Stéphane Momo Takoudjou2,3
1CIRAD, UMR AMAP, F-34398 Montpellier, France. AMAP, Univ Montpellier, CNRS, CIRAD, INRAE, IRD, Montpellier, France.
Data in brief
|February 13, 2024
概括
这项研究引入了一个新的数据集,用于描述喀麦隆农林系统中的可可树架构. 3D点云数据能够对树木结构,叶子和木材分布进行详细分析,用于生物质估计.
科学领域:
- 农业科学 农业科学
- 林业科学 林业科学
- 遥感 遥感 遥感 遥感
背景情况:
- 可可农林系统对于喀麦隆的小农来说至关重要.
- 了解可可树的结构对于优化产量和生物质估计至关重要.
- 现有的树木表征方法往往缺乏详细的3D结构信息.
研究的目的:
- 提供喀麦隆农林系统中可可树的综合数据集.
- 提供详细的3D点云数据,描述树木结构,叶子和木材分布.
- 为了促进可可树生物质和光合作用能力的先进测量和分析.
主要方法:
- 陆地LiDAR (莱卡扫描站C10) 用于捕捉55棵可可树的3D点云.
- 数据是在2019年8月份在喀麦隆的博基托地区收集的.
- 对29棵树进行了点云的叶子和木材细分,将组件分为不同的3D点集.
主要成果:
- 创建了一个55棵5至70岁的可可树的数据集,代表了五种建筑类型.
- 对于选定的树木,可提供原始和细分的3D点云 (树,叶子,木).
- 该数据集可以进行详细的建筑测量和生物质分布分析.
结论:
- 这一数据集为研究复杂的农林环境中的可可树结构和生物质提供了宝贵的资源.
- 这些数据有助于更好地了解可可树的结构,光合作用能力和地表生物质.
- 三维点云方法为准确农业和林业的未来研究提供了基础.
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