自然资源遥感2024，Vol.36Issue(3)：88-95,8.DOI:10.6046/zrzyyg.2023107
基于遥感绿色指数的城市生态环境质量评价研究
Assessment of urban ecological quality based on the remote sensing green index:A case study of Nanjing City
摘要
Abstract
The monitoring and assessment of urban ecological quality holds critical significance for sustainable urban development.To assess the ecological quality of developed coastal cities in China in recent years,this study investigated Nanjing City based on the Sentinel-2A remote sensing images obtained in 2021.It constructed a novel remote sensing green index(RSGI)model involving green spaces,blue spaces,buildings,and impervious surfaces for assessing the ecological quality of Nanjing.First,neural network supervised classification was applied to the Sentinel-2A remote sensing images,constructing the RSGI to assess the ecological quality of various districts in Nanjing.Then,the correlations between the RSGI and urban ecological factors were analyzed using the Pearson correlation coefficient.Finally,the ecological similarity between the districts was analyzed using the agglomerative hierarchical clustering method.The results of this study are as follows:(1)The ecological quality of Nanjing presented a pattern of low RSGI values in the central portion and high RSGI values in the surrounding areas,with the highest and lowest RSGI values(0.86 and 0.38)observed in Luhe and Qinhuai districts,respectively,differing by 0.48;(2)The RSGI exhibited a positive correlation with the density of green spaces and negative correlations with the densities of population,buildings,and impervious surfaces,all at the 0.01 level;(3)With the ecological similarity of 70％as the threshold,11 districts in Nanjing were categorized into four clusters:Qinhuai,Gulou,and Jianye districts in the first cluster,Yuhuatai and Qixia districts in the second cluster,Xuanwu and Gaochun districts in the third cluster,and the rest four districts in the fourth cluster.The results of this study can provide a scientific basis for subsequent urban planning and sustainable development of Nanjing.关键词
RS/生态环境质量/皮尔逊相关系数/城市蓝绿地/南京市Key words
RSGI/ecological quality/Pearson correlation coefficient/urban blue-green space/Nanjing City分类
信息技术与安全科学引用本文复制引用
潘金胤,王世东,范沁河..基于遥感绿色指数的城市生态环境质量评价研究[J].自然资源遥感,2024,36(3):88-95,8.基金项目
国家自然科学基金重点项目"山西黄河流域矿区采动生态演变驱动机制与协同修复"(编号:U22A20620)、国家自然科学基金重点项目子课题"中原矿粮复合区采煤沉陷规律及耕地损毁驱动机制"(编号:U21A20108)和河南理工大学自然科学基金项目"资源枯竭型城市焦作市生态补偿需求、供给与补偿体系研究"(编号:B2023-21)共同资助. （编号:U22A20620）
