基于无人机遥感的森林火烧迹地面积调查应用
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摘要
森林火烧迹地面积的传统调查方法存在劳动强度大、效率低、数据可靠性不高等问题。为解决上述问题,研究设计了无人机荷载多光谱传感器对森林火烧迹地面积进行调查的方法,并利用野外实验对该方法进行了初步验证。结果表明该调查技术可快速准确获取较大范围的森林火灾火烧迹地面积,精度可达94.44%,提高了火烧迹地调查的效率。
The traditional survey methods for the area of forest fires have problems such as high labor intensity, low efficiency, and low data reliability. In order to solve the above problems,the method of investigating the area of forest fire burned by UAV load multi-spectral sensor was designed, and the survey method was preliminarily verified by field experiment. The results show that the survey technology can quickly and accurately obtain a large area of forest fire burned area, and accuracy can reach 94.44%,and improve the efficiency of fire investigation.
The traditional survey methods for the area of forest fires have problems such as high labor intensity, low efficiency, and low data reliability. In order to solve the above problems,the method of investigating the area of forest fire burned by UAV load multi-spectral sensor was designed, and the survey method was preliminarily verified by field experiment. The results show that the survey technology can quickly and accurately obtain a large area of forest fire burned area, and accuracy can reach 94.44%,and improve the efficiency of fire investigation.
引文
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[2]黄思毅.现代信息技术在火灾调查中的应用[J].电子世界, 2014(14):458.
[3]俞虹,张吉龙.关于无人机在森林防火监测方面的探究[J].黑龙江科技息, 2016(17):271.
[4]张园,陶萍,梁世祥,等.无人机遥感在森林资源调查中的应用[J].西南林业大学学报, 2011(3):49-53.
[5]王振师,周宇飞,李小川,等.无人机在森林防火中的应用分析[J].林业与环境科学,2016, 32(1):31-35.
[6]李滨,王宏宇,杨笑天.无人机系统在森林防火方面的应用及其发展[J].电子技术, 2015, 44(5):15-18.
[7]孙家柄.遥感原理与应用[M].武汉:武汉大学出版社,2009.
[8]张裕,杨海涛,袁春慧.遥感图像分类方法综述[J].兵器装备工程学报, 2018, 39(8):108-112.
[9]李园园,宋于洋,秦春艳.基于ERDAS的森林资源信息提取技术研究[J].西南林学院学报, 2009, 29(1):58-61.
[10]孙刚,黄文江,陈鹏飞,等.轻小型无人机多光谱遥感技术应用进展[J].农业机械学报, 2018, 49(3):1-17.
[11]余超,陈良富,李莘莘,等.基于多源卫星多光谱遥感数据的过火面积估算研究[J].光谱学与光谱分析, 2015,35(3):739-745.
[12]杨鑫.浅谈遥感图像监督分类与非监督分类[J].四川地质学报, 2008(3):251-254.
[13]张莹.遥感影像监督分类和非监督分类方法探讨[J].黑龙江科技信息, 2016(2):79.