| 摘要: |
| 林可燃物载量调查专业性强，工作量大。无人机多光谱遥感可获取较大范围森林影像，为计算森林地表可燃物载量提供新的思路。试验区建立在广东省佛山市高明区，测得试验区平均地表可燃物载量高达每公顷39.33 t，且湿地松林Pinus elliottii地表可燃物载量最高。研究发现NDVI及EVI两种植被指数与森林地表可燃物载量之间存在中等强度的相关性，并建立了NDVI（X）与森林地表可燃物载量（Y）的回归模型：Y = -5.935 4X + 8.466 3，以及EVI（X）与森林地表可燃物载量（Y）的回归模型：Y = -5.848 5X + 6.727 1。研究还发现NDVI与地表可燃物载量的线性关系更为显著。 |
| 关键词: 无人机 多光谱遥感 植被指数 可燃物载量 |
| DOI： |
| 分类号: |
| 基金项目:广东省林业科技创新专项项目（2018KJCX003、2019KJCX011） |
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| Research on The Relationship Between Vegetation Index and Forest Surface Fuel Load in UAV Multi-spectral Remote Sensing |
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Zhou Yufei, WANG Zhenshi, ZHONG Yingxia, LI Qiang, WEI Shujing, WU Zepeng, DAI Ruikun, LI Xiaochuan
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Guangdong Academy of Forestry
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| Abstract: |
| The survey of forest combustible load is highly professional and requires lots of work. UAV multi-spectral remote sensing can obtain large-scale forest images, offering a new thinking for calculating the fuel load of forest surfaces. The test area was established in Gaoming district, Foshan city, Guangdong province. The average surface fuel load in the test area was measured up to 39.33 tons per hectare, and the slash pine forest surface fuel load was measured as the highest one. The study found that there was a moderate correlation between vegetation indices of NDVI & EVI and the fuel load of the forest surface. The regression model of NDVI (X) and the forest surface fuel load (Y) was established: Y = -5.935 4X + 8.466 3, and the regression model of EVI (X) and the forest surface fuel load (Y): Y = -5.848 5X + 6.727 1. The study also found that the linear relationship between NDVI and the surface fuel load was more apparent. |
| Key words: UAV Multispectral remote sensing Vegetation index Fuel load |
