基于高分二号遥感影像的城市植被三维绿量研究

Research of 3D Green Quantity of Urban Vegetation Based on GF-2 Remote Sensing Image

三维绿量能反映城市植被的空间分布特征,为城市绿化管理提供科学的数据支撑。本文利用上海市闵行区2014年高分二号遥感影像,运用面向对象的监督分类方法进行植被类型划分,通过计算植被指数,提取纹理信息,建立多元线性回归模型,对研究区植被三维绿量进行反演。结果表明,研究区三维绿量总值为0.04 km^3,单位面积平均三维绿量为1073.65 m^3/hm^2;香樟林是研究区的主要植被类型,占比58.50%;研究区北部和南部植被覆盖较为茂密,中部偏低。

The 3D green quantity can re ect urban vegetation’s spatial distribution characteristics and provide scienti c data support for urban greening management.This paper used the 2014 GF-2 remote sensing image of Minhang District,Sh anghai,and utilized the object-oriented supervised classification method to classify the vegetation types.By calculating the vegetation index,extracting texture information,and establishing a multiple linear regression model,the 3D green quantity of the vegetation in the study area was inverted.The results showed that the total 3D green quantity of the urban forest is 0.04 km3,and the average 3D green volume per unit area is 1073.65 m^3/hm^2.Cinnamomum camphora community accounted for 58.50%of the forest types in the study area,which was the primary vegetation community.The vegetation index indicated that the vegetation cover is dense in the north and south of the region and that in the central part is lower.