生态学报2025，Vol.45Issue(11)：5378-5385,8.DOI:10.20103/j.stxb.202312012630
基于无人机影像的城市单木三维绿量模拟
Three-dimensional green biomass simulation of urban individual tree based on UAV imagery
摘要
Abstract
Accurate measurement of three-dimensional green biomass is essential for assessing urban greening levels and conducting quantitative ecological benefit studies.Current remote sensing-based green biomass measurement methods require time-consuming field surveys to collect tree species data and establish species-specific crown morphological parameter models.This study develops an efficient green biomass estimation approach by simulating individual-tree green biomass using directly quantifiable parameters from high-resolution remote sensing imagery.First,centimeter-level UAV imagery was acquired across Fuzhou's urban areas,and remote sensing methods were employed to measure the individual and total green biomass in different areas(streets,neighborhoods,and urban areas).Next,the green biomass characteristics of different areas were compared and analyzed.Finally,regression models were constructed using directly quantifiable factors from remote sensing imagery to estimate the green biomass in various regions.Key findings reveal:(1)Street trees in Fuzhou show low species diversity(61.3％Ficus spp.),while neighborhoods maintain balanced species distributions.Significant green biomass variations exist across spatial scales(streets:351.6 m3;neighborhoods:143.7 m3;urban areas:161.4 m3).(2)Regression models using canopy projection area and perimeter achieved high precision(adjusted R2:0.921 for streets,0.873 for neighborhoods,0.882 for urban areas),demonstrating an accurate,efficient solution for multi-scale green biomass assessment.关键词
无人机影像/三维绿量/树冠投影面积/街道与街区/福州Key words
UAV imagery/3D green biomass/canopy projection area/streets and neighborhoods/Fuzhou City引用本文复制引用
邱瑶,石龙宇,罗涛,赵宇..基于无人机影像的城市单木三维绿量模拟[J].生态学报,2025,45(11):5378-5385,8.基金项目
十三五国家重点研发计划课题(2018YFC0704705) （2018YFC0704705）
国自然科学基金青年科学基金项目(42201200) （42201200）
