Retrieving crop fractional cover and LAI based on airborne Lidar data
Retrieving crop fractional cover and LAI based on airborne Lidar data
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DOI：
10.11834/jrs.20110395
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Cui Yaokui;Zhao Kaiguang;Fan Wenjie;Xu Xiru
中科院分区：
文献类型：
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作者：
Cui Yaokui;Zhao Kaiguang;Fan Wenjie;Xu Xiru
激光雷达（Light Detection and Ranging，Lidar）点云数据包含了三维坐标和强度信息，可用于获取森林等高大植被的树冠高度、覆盖度等信息。同时，随着数据存储容量和处理速度的提高，小体积机载激光雷达能够通过数字采样存储整个反射波形，拓展了激光雷达的应用范围。然而，森林中使用的方法不适用于灌木，作物和其他低冠层。本文以重庆市为研究对象，提出了一种利用机载激光雷达回波信号强度和回波信号中包含的距离和天顶角信息反演作物覆盖度和叶面积指数的方法。相关的地面试验和黑河地区的地面测量结果表明，该方法是可靠的，同时也验证了激光雷达在低海拔地区自然监测中的巨大潜力。
Light detection and ranging (Lidar) point cloud data contains the information of the 3D coordinate and intensity, which can be applied to acquire the height of crown, fractional cover etc. in high-statue vegetation, such as the forest. Mean- while, with the improvement of data storage capacity and processing speed, small footprint airborne Lidar is able to store the entire refl ected waveform through digitally sampling, which expands the application of Lidar. However, the methods used in for- est are not suitable for shrubs, crops and other low canopies. In this paper, we choose the cron as the study object, and propose a crop fractional cover and leaf area index (LAI) retrieval method using airborne Lidar intensity of ground hits and the distance and zenith angle information contained in waveforms data. Relevant fi ght experiment and ground measurements in Heihe indicate that the method is reliable, and the experiment also validates the great potential for Lidar to be applied to monitor low natural