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城市韧性时空变化监测方法分析
引用本文:毛炜青,夏兰芳.城市韧性时空变化监测方法分析[J].测绘通报,2019,0(3):141-144.
作者姓名:毛炜青  夏兰芳
作者单位:上海市测绘院,上海,200063;上海市测绘院,上海,200063
基金项目:基于地理市情的城市灾害监测技术(17DZ1203202)
摘    要:基于地理国情市情普查监测成果数据,采用时空变化监测分析方法,从地理空间层面对城市韧性进行评估,为韧性城市的建设提供技术和数据支撑。首先,研究了多源异构时空地理数据大融合,建立了城市空间韧性数据库;然后,综合运用GIS技术、DSM差分技术、遥感影像识别等先进技术,从空间维度和时间维度进行了城市基础韧性研究;最后,以城市高危仓储分布和监测方法为例,进行了城市韧性专项监测研究。综上,本文所述方法将大幅度提升地理信息数据服务韧性城市建设的能力。

关 键 词:城市韧性  地理市情  时空变化监测  DSM  城市高危仓储
收稿时间:2018-10-29
修稿时间:2019-01-17

Analysis on spatial-temporal change monitoring of urban resilience
MAO Weiqing,XIA Lanfang.Analysis on spatial-temporal change monitoring of urban resilience[J].Bulletin of Surveying and Mapping,2019,0(3):141-144.
Authors:MAO Weiqing  XIA Lanfang
Institution:Shanghai Surveying and Mapping Institute, Shanghai 200063, China
Abstract:Based on the achievements of the geographical conditions census,this paper adopts a method of spatial-temporal change monitoring to evaluate urban resiliences and provides technical support for the construction of resilient urban.Firstly,this paper studies the integration of multi-source heterogeneous spatial-temporal geographic data,and establishes resilience database of urban space.Then,using the advanced technologies such as GIS,DSM and remote sensing image recognition,the basic urban resilience is studied from space dimension and time dimension.And then,the urban high-risk storage distribution and monitoring methods are taken as an example to monitor the urban resilience in special area.Finally,from the time dimension,the change monitoring of urban resilience is studied.In conclusion,the method described in this paper will greatly enhance the ability of geographic information to resilience urban construction.
Keywords:urban resilience  geographical conditions census  spatial-temporal change monitoring  DSM  urban high-risk storage  
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