带有单像素探测器的双波长LiDAR基于时间延长方法
Simin Chen1, Shaojing Song1, Yicheng Wang2,3
1School of Computer and Information Engineering, Shanghai Polytechnic University, Shanhai 201209, China.
Sensors (Basel, Switzerland)
|September 14, 2024
概括
这项研究介绍了一种新的,具有成本效益的双波长LiDAR系统,用于精确的植被分析. 时间延长的方法使农业和林业的正常化差异植被指数 (NDVI) 数据收集有效.
科学领域:
- 遥感 遥感 遥感 遥感
- 林业科学 林业科学
- 农业技术 农业技术
背景情况:
- 规范差异植被指数 (NDVI) 对于农业和林业的植物健康评估至关重要.
- 传统传感器缺乏垂直数据;双波长LiDAR提供了这一点,但面临成本和效率的挑战.
- 现有的双波长LiDAR系统由于多个探测器而昂贵且缓慢.
研究的目的:
- 开发一个具有成本效益和高效的双波长LiDAR系统,以加强NDVI数据收集.
- 克服现有的LiDAR系统在检测双波长回声方面的局限性.
- 通过详细的植被结构分析,提高精确农业和森林管理.
主要方法:
- 引入了一个时间延伸的方法来分离两个激光波长 (600nm和800nm) 在时间维度.
- 使用超连续激光和一个单像素探测器,配有专门的延时传输光学.
- 验证的测距精度 (大约. 3毫米) 并对各种植被类型和条件评估了系统性能.
主要成果:
- 实现了高距离准确度 (约. 3毫米) 使用高采样率示波器.
- 证明了该系统能够检测与植物中的叶绿素和水含量相关的NDVI变异的能力.
- 使用雷达方程分析了撞击角对反射率和NDVI的影响.
结论:
- 拟议的时间延伸双波长LiDAR系统对农业和林业应用有效.
- 这项技术为精准农业和森林管理提供了具有成本效益和效率的解决方案.
- 该系统为详细的植被结构和健康监测提供了一种新的技术方法.
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