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Forestry and Environmental Science. 2022, (05)

Study on Forest Fuel Classification Method Based on UAV Hyperspectral Remote SensingChinese Full Text

ZHOU Yufei;WANG Zhenshi;ZHONG Yingxia;LI Qiang;WU Zepeng;LI Xiaochuan;Guangdong Provincial Key Laboratory of Silviculture,Protection and Utilization/Guangdong Academy of Forestry;

Abstract: Absract Using the mountainous area of Gaoming district, Foshan city, which is located in the southern subtropical monsoon climate zone as the research area, we explore the specific method of classifying the types of forest combustibles using hyperspectral images acquired by UAVs, classifying the fuel types into five types: coniferous forest, broad-leaved forest, scrub grass, bamboo forest and non-forested land. The results show that the supervised classification method can be applied to the fore... More
Keywords：

UAV; hyperspectral remote sensing; forest fuel; remote sensing image classification;

  • Series：

    (D) Agriculture

  • Subject：

    Plant Protection; Forestry

  • Classification Code：

    S762;S771.8

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