摘要
针对广西地区林业监测中传统人工方法效率低、成本高、精度不足等问题,探讨无人机技术的应用效果。通过实地实验、案例分析及多源数据对比,研究无人机在森林资源调查、火灾监测、病虫害预警及野生动物保护中的技术路径。结果表明,无人机测量单木胸径和树高的平均误差分别为1.2 cm和0.8 m,显著低于人工测量(3.5 cm和1.5 m);火灾响应时间缩短至15 min(传统方法45 min),效率提升30%,成本降低45%;病虫害识别准确率达85%(人工调查70%)。因此,无人机技术可有效提升广西地区林业监测的智能化水平,建议结合边缘计算与多源数据融合技术以应对复杂地形挑战。
This study aims to address the problems of low efficiency,high cost,and insufficient accuracy associated with traditional manual methods in forestry monitoring in Guangxi by exploring the application effects of unmanned aerial vehicle(UAV)technology.Through field experiments,case analyses,and comparisons of multi-source data,the technical approaches of UAVs in forest resource surveys,fire monitoring,pest and disease early warning,and wildlife protection were investigated.The results indicate that the average errors of UAVs in measuring the diameter at breast height(DBH)and tree height of individual trees are 1.2 cm and 0.8 m respectively,significantly lower than those of manual measurements(3.5 cm and 1.5 m).The response time to forest fires has been shortened to 15 minutes(compared to 45 minutes with traditional methods),leading to a 30%increase in efficiency and a 45%reduction in cost.The accuracy rate of pest and disease identification using UAVs reaches 85%,compared to 70%in manual surveys.Therefore,UAV technology can effectively enhance the intelligent level of forestry monitoring in Guangxi.It is recommended to combine edge computing and multi-source data fusion technology to tackle the challenges posed by complex terrains.
作者
覃小军
Qin Xiaojun(Comprehensive Service Center for Rural Construction of Baisha Town,Guiping 537200,Guangxi,China)
出处
《绿色科技》
2025年第8期193-199,共7页
Journal of Green Science and Technology
关键词
广西地区林业
无人机技术
数据采集与处理
应用挑战
优化策略
案例分析
Guangxi forestry
UAV technology
data acquisition and processing
application challenges
optimization strategies
case study
