首页|无人机遥感技术在松材线虫病监测中的应用

无人机遥感技术在松材线虫病监测中的应用

扫码查看
为验证无人机遥感技术能够高效、精准监测松材线虫病枯死木,解决当前人工调查效率低、数据不准确、防治决策不精准、防治工作开展不及时的问题。该研究应用垂直起降固定翼无人机在金谷镇境内验证区进行航拍,获取具有代表性的松枯死木遥感影像,应用Pix4Dmapper、YOLOv5软件对影像进行自动拼接、识别、定位,获得的数据与秋季普查比较。结果表明:人工调查的松枯死木为无人机监测的71%,无人机监测识别准确率达到93。94%,坐标点位置的平均水平误差4。1 m,能够为基层林业提供高效、准确的监测松枯死木服务。
Application of Drone Remote Sensing Technology in Monitoring Bursaphelenchus xylophilus Disease
To verify that drone remote sensing technology can efficiently and accurately monitor Bursaphelenchus xylophilus disease and dead pine trees,the current issues of low efficiency,inaccurate data,and untimely and im-precise decision-making in manual surveys are solved.This study utilized drones with fixed wings that can take off and land vertically to conduct aerial photography in the verification area of Jingu Town,capturing representa-tive remote sensing images of dead pine trees.The images were processed using Pix4Dmapper and YOLOv5 soft-ware for automatic stitching,identification,and localization.The obtained data were compared with the autumn survey results.The results showed that manually surveyed dead pine trees accounted for 71%of those monitored by the drone,with a drone monitoring identification accuracy rate of 93.94%and an average horizontal error of 4.1 meters for coordinate points.This technology can provide efficient and accurate monitoring services of dead pine trees for grassroots forestry.

drone remote sensingmonitoringdead pine treesBursaphelenchus xylophilus disease

梁晓东

展开 >

福建省安溪县金谷林业工作站,福建 泉州 362403

无人机遥感 监测 松枯死木 松材线虫病

2024

绿色科技
花木盆景杂志社

绿色科技

影响因子:0.365
ISSN:1674-9944
年,卷(期):2024.26(21)