葡萄园LiDAR:在西班牙北部两年内获得的高分辨率UAV-LiDAR葡萄园数据集
Sergio Vélez1, Mar Ariza-Sentís1, João Valente1
1Information Technology Group, Wageningen University & Research, 6708 PB Wageningen, the Netherlands.
Data in brief
|November 2, 2023
概括
这项研究引入了新的葡萄园公共LiDAR数据集,采集使用无人机 (UAV). 这些有价值的数据支持精准农业,葡萄园管理和农业机器人开发.
科学领域:
- 农业科学 农业科学
- 遥感 遥感 遥感 遥感
- 地理空间技术是什么
背景情况:
- 精准农业越来越依赖无人机 (UAV) 进行详细的数据收集.
- 需要大量的公共光检测和测距 (LiDAR) 数据集,特别是对于像葡萄园这样的木质作物.
- 现有的数据集往往缺乏先进农业应用所需的特异性.
研究的目的:
- 为葡萄园提供一个全面的,高密度的3D LiDAR点云数据集.
- 为满足农业科学领域对公共无人机LiDAR数据的需求.
- 为推进精准农业和农业机器人提供基础数据集.
主要方法:
- 使用DJI M300无人机平台与DJI Zenmuse L1传感器进行LiDAR数据采集.
- 在西班牙北部的两个葡萄园上空在多个海拔高度 (20,30,50米) 进行的飞行.
- 在2021年和2022年三个不同的现象学阶段收集的数据,产生了十个带有嵌入RGB数据的.laz点云.
主要成果:
- 产生十个葡萄园的高密度3D LiDAR点云.
- 数据集捕捉了葡萄园形态的详细情况和随着时间的推移的发展变化.
- 点包括嵌入式RGB信息,增强数据实用性.
结论:
- 发布的LiDAR数据集是优化葡萄园管理策略的关键资源.
- 它作为重要的"地面真相"数据,用于验证卫星衍生模型并创建准确的数字高度模型 (DEM).
- 该数据集将通过为导航和路径规划提供详细的地形信息来推进农业机器人.
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