基于绿化用途的长三角区域主要城市困难立地空间识别  

Extractions on Regenerated Green Spaces in Yangtze River Delta’s Typical Urban Challenging

作　　者：刘家霖 朱义 张群 崔心红 张浪 LIU Jialin;ZHU Yi;ZHANG Qun;CUI Xinhong;ZHANG Lang(不详)

机构地区：[1]上海市园林科学规划研究院,上海200232 [2]不详 [3]上海市园林科学规划研究院上海城市困难立地绿化工程技术研究中心,上海200232 [4]上海市园林科学规划研究院上海城市困难立地生态园林国家林业局重点实验室,上海200232

出　　处：《园林》2021年第2期2-6,共5页Landscape Architecture Academic Journal

基　　金：国家重点研发计划“城市与区域生态环境决策支持系统与一体化管理模式”(编号:2017YFC0505706);上海市科委工程技术研究中心建设专项“上海城市困难立地绿化工程技术研究中心”(编号:16dz2251400);上海市园林科学规划研究院2020年青年启动项目(编号:No.2020-2-2)。

摘　　要：城镇蔓延和人类高密度的聚居导致建设用地与绿化用地之间的矛盾日益尖锐,形成棕地、废弃地、受损湿地等典型城市困难立地。针对传统遥感影像解译速度缓慢、效率较低、人力物力需求量大等问题,基于Google Earth Engine平台,利用Landsat TM/OLI遥感影像,采用分类回归树方法,对2000年至2019年长三角城市困难立地中的绿化用地进行空间核算。文章以长三角区域的上海、南京、无锡、徐州、杭州、宁波、温州、合肥、芜湖、蚌埠等10个代表性城市为例,分析了绿化用城市困难立地的时空变化特征与分配模式,探究了长三角城市群绿色生态空间增长的土地资源供给差异及模拟预测。Urban sprawl and human settlements have led to increasingly acute contradictions between impervious surface constructions and green space developments,further resulting in challenging urban sites such as brownfields,abandoned land,and degraded wetlands.Conventional remote sensing image interpretation is usually low and in great demand for human resources.Based on the Google Earth Engine platform,using Landsat TM/OLI small sensing images and the classification/regression trees method,we analyzed and quantified the regenerated green space on top of impervious surfaces in Yangtze River Delta from 2000 to 2019.We took ten representative cities in the Yangtze River Delta,including Shanghai,Nanjing,Wuxi,Xuzhou,Hangzhou,Ningbo,Wenzhou,Hefei,Wuhu,and Bengbu,to further analyzed the temporal and spatial patterns of regenerated green spaces.The research is fundamentally critical of demand and supply to urban green areas in the context of rapid urbanization and the achievement of the utmost goal of sustainable growth.

关 键 词：不透水面 植被指数 城镇绿地 时空格局 谷歌地球引擎 

分 类 号：TU986[建筑科学—城市规划与设计]