在森林道路设计中实地数据调查的新可能性
Mihael Lovrinčević1, Ivica Papa1, David Janeš2
1Department of Forest Engineering, Faculty of Forestry and Wood Technology, University of Zagreb, Svetošimunska Cesta 23, 10 000 Zagreb, Croatia.
Sensors (Basel, Switzerland)
|July 12, 2025
概括
无人机和激光雷达等现代测量方法为森林道路设计提供了高空间精度. 虽然有效,但像密集的植被这样的挑战可能会影响数据质量,在规划过程中需要仔细考虑.
科学领域:
- 林业林业 林业 林业 林业
- 地理学就是地质学.
- 测量工程 测量工程 测量工程
背景情况:
- 准确的现场数据对于有效的森林道路规划和设计至关重要.
- 传统和现代测量技术用于森林道路测量.
- 评估各种方法的空间精度对于可靠的数据至关重要.
研究的目的:
- 分析用于森林道路设计的古典和现代测量方法的空间精度.
- 评估不同高度的无人机数据的准确性.
- 在森林道路工程的背景下评估激光雷达数据的准确性.
主要方法:
- 使用根平均平方误差 (RMSE) 的空间精度比较.
- 使用实时动态 (RTK) 模式的全球导航卫星系统 (GNSS) 作为参考.
- 分析了经典方法,总站,带RGB摄像头的无人机和空中激光雷达 (ALS) 的数据.
主要成果:
- 经典方法显示了最高的RMSE (0.89米),其次是总站 (0.33米).
- 无人机数据的准确性在各高度 (0.070.09米误差) 中是一致的.
- 穿越地形的斜率显著影响了空中激光雷达 (ALS) 的错误,但不是方法之间的土工体积差异.
结论:
- 新的调查方法,如运动结构 (SfM) 和激光雷达,为森林道路设计提供高精度的数据.
- 使用新方法的挑战包括管理植被和地面生物质.
- 尽管存在挑战,但无人机和激光雷达数据代表了用于林业应用的空间数据采集的进步.
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