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Forest and Grassland Resources Research >

2023 , Vol. 0 >Issue 4: 141 - 149

DOI: https://doi.org/10.13466/j.cnki.lyzygl.2023.04.017

Technical Application

Research on Inversion of Combustible Moisture Content in the Pinus Tabulaeformis Canopy Based on Sentinel-2B

  • Hongsheng LIU ,
  • Wenxin OUYANG ,
  • Yingjie WEI ,
  • Yiqiu XIE ,
  • Jianjun LI
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  • 1. Hunan Provincial Forestry Affairs Center,Changsha 410004,China
    2. College of Computer and Information Engineering,Central South University of Forestry and Technology,Changsha 410004,China
    3. Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing 100091,China

Received date: 2023-06-29

  Revised date: 2023-07-17

  Online published: 2023-10-16

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Abstract

The occurrence of forest fires is closely related to the moisture content of vegetation canopy combustibles.Using high-precision,large-scale,and high-efficiency remote sensing image inversion to obtain the moisture content of vegetation canopy combustibles is of great significance for effective prevention and control of forest fires.Pinus tabulaeformis is one of the main tree species causing forest fires due to its physical and chemical properties.This study takes Pinus tabulaeformis in Chongli District,Zhangjiakou as the research object.Based on Sentinel 2B remote sensing images and measured moisture content dataof Pinus tabulaeformis,multiple linear regression models,nonlinear regression models and multiple nonlinear regression models were established for the moisture content of Pinus tabulaeformis canopy combustibles.Using the coefficient of determination(R2)and root mean square error(RMSE)to evaluate model accuracy.The results indicated that the nonlinear model was generally superior to the linear model;The multivariate nonlinear model established through multiple independent variable factors better reflected the moisture content of Pinus tabulaeformis canopy combustibles,and the model had higher inversion accuracy,which provided a certain theoretical basis for the selection of vegetation canopy fuel moisture inversion model methods.

Key words： Sentinel-2B; Pinus tabulaeformis; moisture content of combustibles in the canopy; principal component analysis; multiple nonlinear regression

Cite this article

Hongsheng LIU , Wenxin OUYANG , Yingjie WEI , Yiqiu XIE , Jianjun LI . Research on Inversion of Combustible Moisture Content in the Pinus Tabulaeformis Canopy Based on Sentinel-2B[J]. Forest and Grassland Resources Research, 2023 , 0(4) : 141 -149 . DOI: 10.13466/j.cnki.lyzygl.2023.04.017

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