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作 者:孔令凤 汪小钦[1] 周小成[1] KONG Lingfeng;WANG Xiaoqin;ZHOU Xiaocheng(National&Local Joint Engineering Research Center of Satellite Geospatial Information Technology,The Academy of Digital China(Fujian),Fuzhou University,Fuzhou,Fujian 350108,China)
机构地区:[1]福州大学卫星空间信息技术综合应用国家地方联合工程研究中心,数字中国研究院(福建),福建福州350108
出 处:《福州大学学报(自然科学版)》2025年第2期151-158,共8页Journal of Fuzhou University(Natural Science Edition)
基 金:国家自然科学基金资助项目(42271380)。
摘 要:针对三维绿量计算过程中树木参数获取成本较高的问题,提出一种融合高分辨率遥感数据和街景数据的城市行道树三维绿量估算方法.以福州主要辖区为例,首先基于高分二号(GF-2)遥感影像,获取城市行道树的二维分布;然后结合街景地图实现对行道树的树木参数量测;最后基于行道树的水平分布和垂直特征完成三维绿量的估算.结果表明,研究区内行道树整体分布不均衡.基于街景测量获取的树木参数精度较高,与实测数据相比,R 2大于0.9.单位面积上的三维绿量在白马路路段较高,在福马路等路段较低,榕树对该研究区的三维绿量贡献最大,占研究区总绿量的80%.与二维指标相比,城市行道树的三维绿量值更能体现城市行道树的三维立体差异,反映绿地实际生态效益.To address the high cost associated with obtaining tree parameters during living vegetation volume(LVV)calculations,an estimation method is proposed which integrates high-resolution remote sensing data with street view imagery to calculate the living vegetation volume of urban street trees.Using the main districts of Fuzhou as an example,we first obtain the 2D distribution of urban street trees based on GF-2 remote sensing imagery.Then,by integrating street view maps,we measure tree parameters.Finally,we estimate the LVV by combining the horizontal distribution and vertical characteristics of the street trees.The results show that the distribution of street trees in the study area is uneven.The tree parameters obtained from street view measurements have high accuracy,with R 2 values greater than 0.9 compared to field measurements.The LVV per unit area is higher along Baimalu Road and lower along roads like Fumalu Road.Banyan trees contribute the most to the LVV in the study area,accounting for 80%of the total vegetation volume.Compared to 2D indices,the LVV of street trees better captures the 3D structural differences of urban street trees and reflects the actual ecological benefits of green spaces.
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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