基于地空雷达数据的人工池杉林单木信息提取

Single Tree Information Extraction of Artificial Chinese Fir Forest Based on Ground Air Radar Data

摘要:

随着绿色经济和生态文明发展的不断推进,森林林分结构信息的数字化、精细化管理也越来越重要,通过激光雷 达来快速获取单木信息数据,也成为一种高效便捷的手段 。但由于单独使用激光雷达在探测森林时会出现盲区无法形成 完整的森林树木三维点云,为此本研究用使用无人机机载雷达与地基雷达融合进行调查,所探测的数据经处理后,即可获 得高精度的点云模型与单木信息表 。结果表明,池杉样地的单木定位识别精度为 94%,每木平均树高相差 0. 16m,平均胸 径相差 0. 23cm,树高、胸径R2分别为 0. 9881、0. 9746,均方根误差分别为 0. 2663 cm、0. 6136 m 。机载激光雷达与地基 激光雷达合并点云对于人工池杉林资源调查与监测具有重要的实际意义, 同时为林分信息快速提取的研究与应用提供了 有力的技术支撑。

Abstract:

With the continuous advancement of green economy and ecologicalcivilization, the digitization and fine man- agement of forest stand structure information are becoming more and more important. However, due to the blind spots that occur when usinglidar alone to detect forests, it is impossible to form a complete three-dimensionalpoint cloud of for- est trees , so this studyused the fusion of UAV airborne radar and ground-based radarfor investigation, and the detected da- ta can be processed to obtain a high-precision point cloud modeland a individualtree information table . The results showed that the accuracy of individualtree positioning and recognition was94%, the average tree height difference was 0. 16m, the average DBH difference was 0. 23cm, the tree height and DBHR2 were 0. 9881and 0. 9746, and the root mean square error was 0. 2663cm and 0. 6136m, respectively. The combined point cloud of airbornelidar and ground-based li- darhas great practicalsignificance for the investigation and monitoring of artificialpond fir forest resources, and provides strong technicalsupport for the research and application of rapid extraction of stand information .