基于DMSP/OLS数据的长江经济带城市用地空间分异特征
|
摘要
针对基于DMSP/OLS数据对长江经济带城市用地空间分异特征研究不够深入,对城市范围提取不够精确的问题,采取支持向量机分类法定量提取经济带城市建成区,并引入扩张强度指数、标准差椭圆等模型对经济带上中下游,以及关键节点城市的扩张强度、方向、类型进行细致探讨。结果表明:(1)1992—2012年长江流域主要城市建成区呈现快速扩张趋势,建成区面积扩张了60 392km2,年均扩张速度为31.41%。流域空间梯度呈现以上海为龙头的"上游-下游-中游"递减的扩张格局。(2)扩张强度分析表明流域呈现下游持续上升,上中游不同幅度的波动。其中,上中游成都、武汉市等均与本区域扩张强度走势保持高度一致,下游以上海为核心的节点城市则始终保持较高的扩张强度。(3)流域城市总体灯光重心位于安庆市,且在1992—2012年期间呈现往复移动的现象。标准差椭圆分布范围由61.96km2增大到76.52km2,具有明显的东西轴向性。
Based on the DMSP/OLS data,the research on the spatial differentiation characteristics of urban land use in the Yangtze River Economic Belt is not deep enough.For the problem that the urban range extraction is not accurate enough,the support vector machine classification method is used to quantitatively extract the urban built-up area of the economic zone,and the expansion strength index and standard are introduced.Models such as the difference ellipse carefully explore the intensity,direction and type of expansion in the middle and lower reaches of the economic belt and key node cities.The results show that:(1)The built-up areas of major cities in the Yangtze River basin in 1992-2012 showed a rapid expansion trend.The area of the built-up area expanded by 60 392 km2,and the annual expansion rate was 31.41%.The spatial gradient of the basin presents an expansion pattern of"upstream-downstream-middle-stream"with Shanghai as the leader.(2)Analysis of the expansion intensity indicates that the basin continues to rise downstream,with fluctuations in the upper and middle reaches.Among them,Chengdu and Wuhan in the upper and middle reaches are highly consistent with the expansion intensity trend of the region,and the node cities with Shanghai as the core in the downstream have always maintained a high expansion intensity.(3)The overall lighting center of the basin city is located in Anqing city,and it has a reciprocating movement during the period 1992-2012.The standard deviation elliptic distribution range increases from 61.96 km2 to 76.52 km2,with obvious east-west axiality.
Based on the DMSP/OLS data,the research on the spatial differentiation characteristics of urban land use in the Yangtze River Economic Belt is not deep enough.For the problem that the urban range extraction is not accurate enough,the support vector machine classification method is used to quantitatively extract the urban built-up area of the economic zone,and the expansion strength index and standard are introduced.Models such as the difference ellipse carefully explore the intensity,direction and type of expansion in the middle and lower reaches of the economic belt and key node cities.The results show that:(1)The built-up areas of major cities in the Yangtze River basin in 1992-2012 showed a rapid expansion trend.The area of the built-up area expanded by 60 392 km2,and the annual expansion rate was 31.41%.The spatial gradient of the basin presents an expansion pattern of"upstream-downstream-middle-stream"with Shanghai as the leader.(2)Analysis of the expansion intensity indicates that the basin continues to rise downstream,with fluctuations in the upper and middle reaches.Among them,Chengdu and Wuhan in the upper and middle reaches are highly consistent with the expansion intensity trend of the region,and the node cities with Shanghai as the core in the downstream have always maintained a high expansion intensity.(3)The overall lighting center of the basin city is located in Anqing city,and it has a reciprocating movement during the period 1992-2012.The standard deviation elliptic distribution range increases from 61.96 km2 to 76.52 km2,with obvious east-west axiality.
引文
[1]陆大道,陈明星.关于“国家新型城镇化规划(2014-2020)”编制大背景的几点认识[J].地理学报,2015,70(2):179-185.
[2]方创琳,周成虎,王振波.长江经济带城市群可持续发展战略问题与分级梯度发展重点[J].地理科学进展,2015,34(11):1398-1408.
[3]方创琳.改革开放30年来中国的城市化与城镇发展[J].经济地理,2009,29(1):19-25.
[4]方创琳,周成虎,顾朝林,等.特大城市群地区城镇化与生态环境交互耦合效应解析的理论框架及技术路径[J].地理学报,2016,71(4):531-550.
[5]刘纪远,匡文慧,张增祥,等.20世纪80年代末以来中国土地利用变化的基本特征与空间格局[J].地理学报,2014,69(1):3-14.
[6]HANSEN M C,LOVELAND T R.A review of large area monitoring of land cover change using Landsat data[J].Remote Sensing of Environment,2012,122(1):66-74.
[7]NORDHAUS W,CHEN X.A sharper image?estimates of the precision of nighttime lights as a proxy for economic statistics[J].Journal of Economic Geography,2014,15(1):217-246.
[8]ELVIDGE C D,SUTTON P C,GHOSH T,et al.A global poverty map derived from satellite data[J].Computers&Geosciences,2009,35(8):1652-1660.
[9]LO C P.Modeling the population of China using DMSP operational linescan system nighttime data[J].Photogrammetric Engineering&Remote Sensing,2001,67(9):1037-1048.
[10]苏泳娴,陈修治,叶玉瑶,等.基于夜间灯光数据的中国能源消费碳排放特征及机理[J].地理学报,2013,68(11):1513-1526.
[11]吴健生,刘浩,彭建.中国城市体系等级结构及其空间格局:基于DMSP/OLS夜间灯光数据的实证[J].地理学报,2014,69(6):759-770.
[12]YI K,TANI H,LI Q,et al.Mapping and evaluating the urbanization process in Northeast China using DMSP/OLSnighttime light data[J].Sensors,2014,14(2):3207-3226.
[13]卓莉,李强,史培军,等.基于夜间灯光数据的中国城市用地扩展类型[J].地理学报,2006,61(2):169-178.
[14]王利伟,冯长春.转型期京津冀城市群空间扩展格局及其动力机制:基于夜间灯光数据方法[J].地理学报,2016,71(12):2155-2169.
[15]ZHANG Q,SU S.Determinants of urban expansion and their relative importance:a comparative analysis of 30 major metropolitans in China[J].Habitat International,2016,58:89-107.
[16]IMHOFF M L,LAWRENCE W T,STUTZER D C,et al.A technique for using composite DMSP/OLS“City Lights”satellite data to map urban area[J].Remote Sensing of Environment,1997,61(3):361-370.
[17]LIU Z,HE C,ZHANG Q,et al.Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992to 2008[J].Landscape&Urban Planning,2012,106(1):62-72.
[18]XU T,MA T,ZHOU C,et al.Characterizing spatio-temporal dynamics of urbanization in China using time series of DMSP/OLS night light data[J].Remote Sensing,2014,6(8):7708-7731.
[19]WANG Z,YANG S,WANG S,et al.Monitoring evolving urban cluster systems using DMSP/OLS nighttime light data:a case study of the Yangtze River Delta region,China[J].Journal of Applied Remote Sensing,2017,11(4):1.
[20]SU Y,CHEN X,WANG C,et al.A new method for extracting built-up urban areas using DMSP-OLS nighttime stable lights:a case study in the Pearl River Delta,southern China[J].Mapping Sciences&Remote Sensing,2015,52(2):218-238.
[21]HU Y,PENG J,LIU Y,et al.Mapping development pattern in Beijing-Tianjin-Hebei urban agglomeration using DMSP/OLS nighttime light data[J].Remote Sensing,2017,9(7):760.
[22]CAO X,CHEN J,IMURA H,et al.A SVM-based method to extract urban areas from DMSP-OLS and SPOT VGT data[J].Remote Sensing of Environment,2009,113(10):2205-2209.
[23]李德仁,余涵若,李熙.基于夜光遥感影像的“一带一路”沿线国家城市发展时空格局分析[J].武汉大学学报(信息科学版),2017,42(6):711-720.
[2]方创琳,周成虎,王振波.长江经济带城市群可持续发展战略问题与分级梯度发展重点[J].地理科学进展,2015,34(11):1398-1408.
[3]方创琳.改革开放30年来中国的城市化与城镇发展[J].经济地理,2009,29(1):19-25.
[4]方创琳,周成虎,顾朝林,等.特大城市群地区城镇化与生态环境交互耦合效应解析的理论框架及技术路径[J].地理学报,2016,71(4):531-550.
[5]刘纪远,匡文慧,张增祥,等.20世纪80年代末以来中国土地利用变化的基本特征与空间格局[J].地理学报,2014,69(1):3-14.
[6]HANSEN M C,LOVELAND T R.A review of large area monitoring of land cover change using Landsat data[J].Remote Sensing of Environment,2012,122(1):66-74.
[7]NORDHAUS W,CHEN X.A sharper image?estimates of the precision of nighttime lights as a proxy for economic statistics[J].Journal of Economic Geography,2014,15(1):217-246.
[8]ELVIDGE C D,SUTTON P C,GHOSH T,et al.A global poverty map derived from satellite data[J].Computers&Geosciences,2009,35(8):1652-1660.
[9]LO C P.Modeling the population of China using DMSP operational linescan system nighttime data[J].Photogrammetric Engineering&Remote Sensing,2001,67(9):1037-1048.
[10]苏泳娴,陈修治,叶玉瑶,等.基于夜间灯光数据的中国能源消费碳排放特征及机理[J].地理学报,2013,68(11):1513-1526.
[11]吴健生,刘浩,彭建.中国城市体系等级结构及其空间格局:基于DMSP/OLS夜间灯光数据的实证[J].地理学报,2014,69(6):759-770.
[12]YI K,TANI H,LI Q,et al.Mapping and evaluating the urbanization process in Northeast China using DMSP/OLSnighttime light data[J].Sensors,2014,14(2):3207-3226.
[13]卓莉,李强,史培军,等.基于夜间灯光数据的中国城市用地扩展类型[J].地理学报,2006,61(2):169-178.
[14]王利伟,冯长春.转型期京津冀城市群空间扩展格局及其动力机制:基于夜间灯光数据方法[J].地理学报,2016,71(12):2155-2169.
[15]ZHANG Q,SU S.Determinants of urban expansion and their relative importance:a comparative analysis of 30 major metropolitans in China[J].Habitat International,2016,58:89-107.
[16]IMHOFF M L,LAWRENCE W T,STUTZER D C,et al.A technique for using composite DMSP/OLS“City Lights”satellite data to map urban area[J].Remote Sensing of Environment,1997,61(3):361-370.
[17]LIU Z,HE C,ZHANG Q,et al.Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992to 2008[J].Landscape&Urban Planning,2012,106(1):62-72.
[18]XU T,MA T,ZHOU C,et al.Characterizing spatio-temporal dynamics of urbanization in China using time series of DMSP/OLS night light data[J].Remote Sensing,2014,6(8):7708-7731.
[19]WANG Z,YANG S,WANG S,et al.Monitoring evolving urban cluster systems using DMSP/OLS nighttime light data:a case study of the Yangtze River Delta region,China[J].Journal of Applied Remote Sensing,2017,11(4):1.
[20]SU Y,CHEN X,WANG C,et al.A new method for extracting built-up urban areas using DMSP-OLS nighttime stable lights:a case study in the Pearl River Delta,southern China[J].Mapping Sciences&Remote Sensing,2015,52(2):218-238.
[21]HU Y,PENG J,LIU Y,et al.Mapping development pattern in Beijing-Tianjin-Hebei urban agglomeration using DMSP/OLS nighttime light data[J].Remote Sensing,2017,9(7):760.
[22]CAO X,CHEN J,IMURA H,et al.A SVM-based method to extract urban areas from DMSP-OLS and SPOT VGT data[J].Remote Sensing of Environment,2009,113(10):2205-2209.
[23]李德仁,余涵若,李熙.基于夜光遥感影像的“一带一路”沿线国家城市发展时空格局分析[J].武汉大学学报(信息科学版),2017,42(6):711-720.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |