首页|基于无人机倾斜摄影的广西桉树冠层碳储量计量模型构建

基于无人机倾斜摄影的广西桉树冠层碳储量计量模型构建

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森林碳储量计量是在全球气候变暖背景下,实现"碳达峰"和"碳中和"目标的重要技术环节之一.目前常规的森林碳储量计量方法仍然主要采用传统的林业样地调查法,存在效率低、人力物力成本高,且对森林冠层数据的测定精度不高等问题.以无人机倾斜摄影测量技术在广西桉树冠层碳储量计量中的应用为研究对象,参考林业部门和各地的相关标准,采用实验对比和数理统计方法构建基于广西桉树冠层体积(V)推算其冠层碳储量(T)的计量模型.实验验证和回归分析方法测定该模型的拟合优度R2达到0.889 6.该模型可为广西桉树林碳储量的调查工作,以及其他树种的碳储量计量模型构建提供参考.
Construction of a Carbon Storage Measurement Model for Eucalyptus Canopy in Guangxi Based on Drone Oblique Photography
Calculating forest carbon storage is an important technology for China to achieve the goals of carbon dioxide peaking and carbon neutrality in the context of global warming.At present,conventional forest carbon storage accounting primarily adopts measuring standing trees in sample plots,which is less efficient and more costly in terms of labor.Meanwhile,there are problems such as the low accuracy of forest canopy data measurement.To address this issue,this study constructed a set of mathematical models based on the volume V of the canopy oblique photography model of Eucalyptus trees in Guangxi to predict their carbon storage T through experiments and data analysis.This was done using the oblique photogram-metry technology of unmanned aerial vehicles,as well as mathematical and statistical methods.Also,it takes reference to the relevant standards set by the forestry department and local authorities.It verified that experimental validation and regression analysis showed that the goodness-of-fit threshold R2 of this model reached 0.889 6,and the model can provide support for the investigation of eucalyptus forest carbon storagein Guangxi.At the same time,the methods and techniques in this study can also be appliedas a reference for constructing oblique photography carbon storage measurement models for other tree species.

carbon storage accountingEucalyptus canopyUAV remote sensingoblique photographycarbon sink modeling

朱赞、王勇军、王建琦、许玉兰、丘鑫琪、万喜

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桂林航天工业学院航空宇航学院,广西桂林 541004

贵州大学资源与环境工程学院,贵阳 550025

广西高校无人机系统与技术应用重点实验室,广西桂林 541004

碳储量计量 桉树冠层 无人机遥感 倾斜摄影 碳汇建模

国家自然科学基金广西壮族自治区高等学校中青年教师科研基础能力提升项目

619660102023KY08

2024

林业资源管理
国家林业局调查规划设计院

林业资源管理

北大核心
影响因子:0.757
ISSN:1002-6622
年,卷(期):2024.(1)
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