| 本文已被：浏览 2027次 下载 2003次 |
码上扫一扫！ |
|
|
| 无人机低空遥感技术辅助高精度造林 |
|
杜澄举,李赛楠,孙思,宁华珙,黄少伟
|
|
华南农业大学 林学与风景园林学院,华南农业大学 林学与风景园林学院,华南农业大学 林学与风景园林学院,英德市林业科学研究所,华南农业大学 林学与风景园林学院
|
|
| 摘要: |
| 在高精度要求的造林作业中，使用传统的造林方法进行造林作业会伴随着精度不足、效率不
高、人力耗费大等问题。研究利用无人机航拍获得造林地的正射影像图，使用 AutoCAD 和 ArcGIS 软件
设计种植方案，按照设计方案施工完成后，验证相对误差是否符合作业的精度要求。结果表明：（1）试
验产生的相对误差极显著小于允许误差（P <0.01)；（2）将劳动力和时间的成本量化为工作时后进行比
较，试验中实际工作时约为 10 h, 远小于传统作业标准中所规定的工作时 116 h。相较于传统造林方法，
该方法不仅精度更高，而且可以节约大量的劳动力和时间，该方法具备可行性和实用性，在具备设备条
件与技术条件时，可以使用该方法进行高精度造林作业。 |
| 关键词: 无人机 高精度造林作业 低空遥感 正射影像图 |
| DOI： |
| 分类号: |
| 基金项目:“十三五”国家重点研发专项子课题——火炬松脂材兼用良种繁育与高效利用技术研究（2017YFD0600502-3） |
|
| High-precision Afforestation Assisted by UAV Low-altitude Remote Sensing Technology |
|
DU Chengju,LI Sainan,SUN Si,NING Huagong and HUANG Shaowei
|
|
South China Agricultural University,College of Forestry and Landscape Architecture,South China Agricultural University,College of Forestry and Landscape Architecture,South China Agricultural University,College of Forestry and Landscape Architecture,Yingde Institute of Forestry,Yingde,South China Agricultural University,College of Forestry and Landscape Architecture
|
| Abstract: |
| In high precision afforestation work, the traditional design method has many problems, such
as low precision, low efficiency and large labor cost. This experiment attempted to solve these problems in
high precision afforestation, which was assisted by UAV low-altitude remote sensing technology. First of all,
orthophoto map of forestland was photographed by drone, then planting scheme was designed with AutoCAD and
ArcGIS software. After the plantation work finished, the relative error was assessed. In the end, the feasibility and
practicability of the method was discussed. The results show that: (1)The relative error was significantly lower
than the permissible error(P<0.01); (2)The actual labor and time consumed in the experiment is about 10 h, which
is far less than the labor and time specified in the operating standard of 116 h. Compared with the traditional
method, this method is not only more accurate, but also can save labor cost and time. Therefore, it is a feasible and
practical method and worth popularizing. |
| Key words: UAV high-precision afforestation design low-altitude remote sensing orthophoto map |
