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| 基于无人机遥感的森林火烧迹地面积调查应用 |
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钟映霞,周宇飞,陈世清,魏书精,李小川,王振师,吴泽鹏,李强
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广东省林业科学研究院,广东省林业科学研究院,华南农业大学,广东省林业科学研究院,广东省林业科学研究院,广东省林业科学研究院,广东省林业科学研究院,广东省林业科学研究院
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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。 |
| 关键词: 无人机 多光谱传感器 遥感影像 火烧迹地 |
| DOI： |
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| 基金项目:广东省林业科技创新项目：基于多光谱影像的森林可燃物分类技术研究（2017KJCX047）；中央财政林业科技推广示范项目：小型无人飞行器在立体灭火中的应用推广（[2015]GDTK-04） |
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| Application of Forest Fire Burning Area Investigation Based on Remote Sensing of Unmanned Aerial Vehicles |
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zhongyingxia,zhouyufei,chenshiqing,weishujing,lixiaochuan,wangzhenshi,wuzepeng and liqiang
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Guangdong Academy of Forestry,Guangdong Academy of Forestry,South China Agricultural University,Guangdong Academy of Forestry,Guangdong Academy of Forestry,Guangdong Academy of Forestry,Guangdong Academy of Forestry,Guangdong Academy of Forestry
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| Abstract: |
| 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. |
| Key words: UAV multi-spectral sensor remote sensing image fire burned ground |
