基于ENVI软件监督分类功能对地上植被碳储量估算方法的研究——以郑州市中心城区为例  

Research on the Estimation Method of Aboveground Vegetation Carbon Storage Based on ENVI Software Supervised Classification Function—Taking the Central Urban Area of Zhengzhou as an Example

作　　者：刘畅 肖哲涛 Liu Chang;Xiao Zhetao(Water Resources and Electric Power,School of Architecture North China University,Zhengzhou 450045,Henan,China)

机构地区：[1]华北水利水电大学建筑学院,河南郑州450045

出　　处：《绿色科技》2024年第17期7-11,共5页Journal of Green Science and Technology

基　　金：河南省哲学社会科学规划项目(编号:2020BYS023)。

摘　　要：随着城市化进程的不断加速和气候变化问题的日益严峻,城市绿地作为重要的自然碳汇资源,在缓解城市热岛效应和优化环境质量中发挥着越来越重要的作用。对城市绿地碳汇的研究能够为城市绿地规划提供科学准确的数据支持。因此,以郑州市中心城区占地约409 km^(2)的地区为研究对象,对包含研究区域的Landsat8遥感影像进行预处理,利用归一化植被指数(NDVI)提取城市植被覆盖面,结合ENVI软件的监督分类功能进一步对城市绿地进行梳理和分类,通过生物量法对研究区域内的地上植被碳储量进行评估,最后结果得出选区内地上植被碳储量约为129.7×10^(3)t。借助遥感软件进行城市绿地碳储量估算与传统的人工解译地理信息相比,本研究方法更具有高效性,能够快速获取大范围城市绿地植被信息,为城市绿地植被碳储量估算提供一种更加有效、快捷的方法,对城市生态建设具有一定的指导意义。With the continuous acceleration of urbanization and the increasingly severe problem of climate change,urban green space,as an important natural carbon sink resource,plays an increasingly important role in alleviating urban heat island effects and optimizing environmental quality.The study of carbon sequestration in urban green spaces can provide scientific and accurate data support for urban green space planning.This paper takes the area of approximately 409 km^(2) in the central urban area of Zhengzhou as the research object.By preprocessing the Landsat 8 remote sensing images containing the study area,extracting urban vegetation cover using the Normalized Vegetation Index(NDVI),and combining the supervised classification function of ENVI software to further sort and classify urban green spaces,the biomass method was used to evaluate the carbon storage of aboveground vegetation in the study area.The final result showed that the carbon storage of aboveground vegetation in the selected area was about 129.7×10^(3) t.Compared with the traditional manual interpretation of geographic information,the method in this study is more efficient by using remote sensing software to estimate carbon storage in ur-ban green spaces.It can rapidly acquire extensive information on urban green vegetation,offering a more effective and expedited approach for estimating carbon storage in urban green vegetation,which has significant guidance for urban ecological construction.

关 键 词：监督分类 Landsat8遥感影像 归一化植被指数 植被碳储量 

分 类 号：TU986[建筑科学—城市规划与设计]