基于夜间灯光遥感数据的城市土地集约利用评价模型
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摘要
该文利用夜间灯光遥感数据和城市建城区统计数据进行城市土地集约利用研究,构建基于城市灯光强度的土地集约利用评价模型,并对城市夜间灯光和土地城市化的异速生长特征进行分析;考虑到城市灯光数据反映出的土地城市化可能存在滞后效应,提出一种顾及滞后效应的城市灯光-土地城市化水平土地集约利用评价模型,选择江苏省不同发展水平的典型城市,分别进行基于滞后项系数的灯光与存量用地和新增用地之间的制约关系分析。试验结果表明:夜间灯光遥感数据能较好反映城市土地利用水平,城市灯光相对于土地城市化存在滞后现象,相比于传统的异速生长模型,该文提出的顾及滞后效应的异速生长模型在城市土地集约利用的研究中拟合优度有较明显的提高,在江苏省5个典型城市的对比试验中平均提高4.0%,并且江苏省"1+3"新功能区格局在异速生长模型特征分析中也有明显的地区特征,验证了模型的适用性。该研究可为中国城市化过程中的土地集约利用评价方法提供参考。
With the acceleration of the urbanization, urban land intensive use becomes necessary for the development of city. In the traditional study of urban land intensive use, all kinds of socio-economic statistical data are used and evaluation indicators based on analytic hierarchy process are built for the analysis of the land intensive use. However, there are many difficulties, such as data collection, data "monopoly" and data distortion. Under the background of new urbanization, it is important to optimize the structure of land resource utilization, improve the utilization efficiency of land resources and rationally control the scale of urban construction land. Jiangsu Province is taken as an example for the urban land intensive use in this research. Nighttime light data are considered as a good data source in the many studies of society and economy, because they can objectively reflect the social and economic activities. Before using nighttime data, a series of pre-processing work is needed to ensure the accuracy of the experimental result. Nighttime light data and built-up area data from 1996 to 2012 in Jiangsu Province are used to construct the allometric growth model of city light intensity-urbanization of land based on order space at the scale of prefecture-level city. And then the nighttime light data and built-up area data in 2015 are used to construct the model based on phase space at county scale. The allometric growth index is used to analyze the growth relation between city light intensity and urbanization of land based on the city scale of Jiangsu Province. At the same time, the effect of time lag of urban light on urban land is considered, and the allometric growth model is improved by adding lag term. A new allometric growth model is constructed. By selecting typical cities with different development levels, restrictive relations between urban light and the stock urban land and the new urban land are assessed separately based on the lag term coefficient. The result shows that the land intensive use level is significantly different from north to south. The new model considering the lag effect is better in analysis of relationship between city light and urban land growth. There is exactly a lagging phenomenon of urban light relative to the urbanization of land. The light of most cities mainly concentrates on the stock land, and the light of the new urban land has lag phenomenon to a certain extent. The new functional area pattern of "1+3" in Jiangsu Province also has obvious regional characteristics of allometric growth. The intensive use level in Yangtze River urban agglomeration is higher than other zones obviously. This study validates the rationality of the strategy of "1+3" functional areas and has a certain reference value to the change of Jiangsu's economic pattern. This study takes advantage of the urban nighttime light remote sensing data in long time series and large scale, which avoids the cumbersome and time-consuming data collection process in traditional land intensive use evaluation system. It can effectively evaluate the land intensive use level of cities with different development degrees. Therefore, this method can provide a reliable reference guide for the utilization of land resources in China..
With the acceleration of the urbanization, urban land intensive use becomes necessary for the development of city. In the traditional study of urban land intensive use, all kinds of socio-economic statistical data are used and evaluation indicators based on analytic hierarchy process are built for the analysis of the land intensive use. However, there are many difficulties, such as data collection, data "monopoly" and data distortion. Under the background of new urbanization, it is important to optimize the structure of land resource utilization, improve the utilization efficiency of land resources and rationally control the scale of urban construction land. Jiangsu Province is taken as an example for the urban land intensive use in this research. Nighttime light data are considered as a good data source in the many studies of society and economy, because they can objectively reflect the social and economic activities. Before using nighttime data, a series of pre-processing work is needed to ensure the accuracy of the experimental result. Nighttime light data and built-up area data from 1996 to 2012 in Jiangsu Province are used to construct the allometric growth model of city light intensity-urbanization of land based on order space at the scale of prefecture-level city. And then the nighttime light data and built-up area data in 2015 are used to construct the model based on phase space at county scale. The allometric growth index is used to analyze the growth relation between city light intensity and urbanization of land based on the city scale of Jiangsu Province. At the same time, the effect of time lag of urban light on urban land is considered, and the allometric growth model is improved by adding lag term. A new allometric growth model is constructed. By selecting typical cities with different development levels, restrictive relations between urban light and the stock urban land and the new urban land are assessed separately based on the lag term coefficient. The result shows that the land intensive use level is significantly different from north to south. The new model considering the lag effect is better in analysis of relationship between city light and urban land growth. There is exactly a lagging phenomenon of urban light relative to the urbanization of land. The light of most cities mainly concentrates on the stock land, and the light of the new urban land has lag phenomenon to a certain extent. The new functional area pattern of "1+3" in Jiangsu Province also has obvious regional characteristics of allometric growth. The intensive use level in Yangtze River urban agglomeration is higher than other zones obviously. This study validates the rationality of the strategy of "1+3" functional areas and has a certain reference value to the change of Jiangsu's economic pattern. This study takes advantage of the urban nighttime light remote sensing data in long time series and large scale, which avoids the cumbersome and time-consuming data collection process in traditional land intensive use evaluation system. It can effectively evaluate the land intensive use level of cities with different development degrees. Therefore, this method can provide a reliable reference guide for the utilization of land resources in China..
引文
[1]顾朝林,徐海贤.改革开放二十年来中国城市地理学研究进展[J].地理科学,1999,19(4):320-331.Gu Chaolin,Xu Haixian.Development of urban geography in China since 1978[J].Scientia Geographica Sinica,1999,19(4):320-331.(in Chinese with English abstract)
[2]孙宇杰,陈志刚.江苏省城市土地集约利用与城市化水平协调发展研究[J].资源科学,2012,34(5):889-895.Sun Yujie,Chen Zhigang.Coordinated development between urban land intensive use and urbanization level in Jiangsu province[J].Resources Science,2012,34(5):889-895(in Chinese with English abstract)
[3]Lau S S Y,Giridharan R,Ganesan S.Multiple and intensive land use:Case studies in Hong Kong[J].Habitat International,2005,29(3):527-546.
[4]姜海,曲福田,欧名豪,等.区域土地集约利用评价方法与应用[J].农业工程学报,2008,24(增1):117-123.Jiang Hai,Qu Futian,Ou Minghao,et al.Evaluation methods and application of regional land-use intensity[J].Transactions of the Chinese Society of Agricultural Engineering(Transactions of the CSAE),2008,24(Supp.1):117-123.(in Chinese with English abstract)
[5]李德仁,李熙.论夜光遥感数据挖掘[J].测绘学报,2015,44(6):591-601.Li Deren,Li Xi.An overview on data mining of nighttime light remote sensing[J].Acta Geodaetica Et Cartographica Sinica,2015,44(6):591-601.(in Chinese with English abstract)
[6]卓莉,陈晋,史培军,等.基于夜间灯光数据的中国人口密度模拟[J].地理学报,2005,60(2):266-276.Zhuo Li,Chen Jin,Shi Peijun,et al.Modeling population density of China in 1998 based on DMSP/OLS nighttime light image[J].Acta Geographica Sinica,2005,60(2):266-276.(in Chinese with English abstract)
[7]杨妮,吴良林,邓树林,等.基于DMSP/OLS夜间灯光数据的省域GDP统计数据空间化方法:以广西壮族自治区为例[J].地理与地理信息科学,2014,30(4):108-111.Yang Ni,Wu Lianglin,Deng Shulin,et al.Spatialization method of provincial statistical GDP data based on DMSP/OLS night lighting data:A case study of Guangxi zhuang autonomous region[J].Geography and Geo-Information Science,2014,30(4):108-111.(in Chinese with English abstract)
[8]陈晴,侯西勇.集成土地利用数据和夜间灯光数据优化人口空间化模型[J].地球信息科学学报,2015,17(11):1370-1377.Chen Qing,Hou Xiyong,An improved population spatialization model by combining land use data and DMSP/OLS data[J].Journal of Geo-Information Science,2015,17(11):1370-1377.(in Chinese with English abstract)
[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]Ghosh T,Powell R L,Elvidge C D,et al.Shedding light on the global distribution of economic activity[J].Open Geography Journal,2010,3(1):148-161.
[11]Doll C N H,Muller J P,Morley J G.Mapping regional economic activity from night-time light satellite imagery[J].Ecological Economics,2006,57(1):75-92.
[12]Cova T J,Sutton P C,Theobald D M.Exurban change detection in fire-prone areas with nighttime satellite imagery[J].Photogrammetric Engineering&Remote Sensing,2004,70(11):1249-1257.
[13]He C,Liu Z,Tian J,et al.Urban expansion dynamics and natural habitat loss in China:A multiscale landscape perspective.[J].Global Change Biology,2014,20(9):2886.
[14]Wu W,Wang H,Zhao H,et al.Research of China urban efficiency based on Suomi-NPP night-time light data[J].Procedia Environmental Sciences,2016,36:146-153.
[15]吴健生,牛妍,彭建,等.基于DMSP/OLS夜间灯光数据的1995-2009年中国地级市能源消费动态[J].地理研究,2014,33(4):625-634.Wu Jiansheng,Niu Yan,Peng Jian,et al.Research on energy consumption dynamic among prefecture-level cities in China based on DMSP/OLS nighttime light[J].Geographical Research,2014,33(4):625-634.(in Chinese with English abstract)
[16]吴健生,赫胜彬,彭建,等.基于DMSP-OLS数据的城市发展空间特征研究[J].地理与地理信息科学,2014,30(2):20-25.Wu Jiansheng,He Shengbin,Peng Jian,et al.Research on spatial characteristics of urban development based on DMSP-OLS data[J].Geography and Geo-Information Science,2014,30(2):20-25.(in Chinese with English abstract)
[17]Huang X,Schneider A,Friedl M A.Mapping sub-pixel urban expansion in China using MODIS and DMSP/OLS nighttime lights[J].Remote Sensing of Environment,2016,175:92-108.
[18]刘继生,陈彦光.山东省城市人口-城区面积的异速生长特征探讨[J].地理科学,2005,25(2):135-141.Liu Jisheng,Chen Yanguang.An allometric analysis of the Shandong urban system using ideas from Fractals[J].Scientia Geographica Sinica,2005,25(2):135-141.(in Chinese with English abstract)
[19]Lee Y.An allometric analysis of the U.S.urban system:1960-80[J].Environment&Planning A,1989,21(4):463-476.
[20]陈彦光,许秋红.区域城市人口-面积异速生长关系的分形几何模型:对Nordbeck-Dutton城市体系异速生长关系的理论修正与发展[J].信阳师范学院学报:自然科学版,1999,12(2):198-203.Chen Yanguang,Xu Qiuhong.Studies on the fractal geometric model of allometric growth relationships between area and population of urban systems[J].Journal of Xinyang Normal University,1999,12(2):198-203.(in Chinese with English abstract)
[21]孙在宏,袁源,王亚华,等.基于分形理论的江苏省城市规模分布与异速生长特征[J].地理研究,2011,30(12):2163-2172.Sun Zaihong,Yuan Yuan,Wang Yahua,et al.Research on city-size distribution and allometric growth in Jiangsu Province based on fractal theory[J].Geographical Research,2011,30(12):2163-2172.(in Chinese with English abstract)
[22]王亚华,袁源,王映力,等.人口城市化与土地城市化耦合发展关系及其机制研究:以江苏省为例[J].地理研究,2017,36(1):149-160.Wang Yahua,Yuan Yuan,Wang Yingli,et al.Relationship and mechanism of coupling development between population and land urbanization:A case study of Jiangsu province[J].Geographical Research,2017,36(1):149-160.(in Chinese with English abstract)
[23]Bennett M M,Smith L C.Advances in using multitemporal night-time lights satellite imagery to detect,estimate,and monitor socioeconomic dynamics[J].Remote Sensing of Environment,2017,192:176-197.
[24]Henderson M,Yeh E T,Gong P,et al.Validation of urban boundaries derived from global night-time satellite imagery[J].International Journal of Remote Sensing,2003,24(3):595-609.
[25]宋金超,李新虎,吝涛,等.基于夜晚灯光数据和Google Earth的城市建成区提取分析[J].地球信息科学学报,2015,17(6):750-756.Song Jinchao,Li Xinhu,Lintao,et al.A method of extracting urban built-up area based on DMSP/OLS nighttime data and Google Earth[J].Journal of Geo-Information Science,2015,17(6):750-756.(in Chinese with English abstract)
[26]Pandey B,Zhang Q,Seto K C.Comparative evaluation of relative calibration methods for DMSP/OLS nighttime lights[J].Remote Sensing of Environment,2017,195:67-78.
[27]Wu J,He S,Peng J,et al.Intercalibration of DMSP-OLSnight-time light data by the invariant region method[J].International Journal for Remote Sensing,2013,34(20):7356-7368.
[28]曹子阳,吴志峰,匡耀求,等.DMSP/OLS夜间灯光影像中国区域的校正及应用[J].地球信息科学学报,2015,17(9):1092-1102.Cao Ziyang,Wu Zhifeng,,Kuang Yaoqiu,et al.Correction of DMSP/OLS night-time light images and its application in China[J].Journal of Geo-Information Science,2015,17(9):1092-1102.(in Chinese with English abstract)
[29]Chen Y.Multi-scaling allometric analysis for urban and regional development[J].Physica A Statistical Mechanics&Its Applications,2016,465:673-689.
[30]陈彦光,周一星.基于RS数据的城市系统异速生长分析和城镇化水平预测模型:基本理论与应用方法[J].北京大学学报:自然科学版,2001,37(6):819-826.Chen Yanguang,Zhou Yixing.Researches in models of allometric analysis of urban systems and forecast of urbanization level based on RS data of urban area[J].Acta Scicentiarum Naturalum Universitis Pekinesis,2001,37(6):819-826.(in Chinese with English abstract)
[31]刘继生,陈彦光.山东省城市人口-城区面积的异速生长特征探讨[J].地理科学,2005,25(2):135-141.Liu Jisheng,Chen Yanguang.An allometric analysis of the Shandong Urban system using ideas from fractals[J].Scientia Geographica Sinica,2005,25(2):135-141.(in Chinese with English abstract)
[32]杨俊.新型城镇化背景下建设用地集约利用研究[D].武汉:中国地质大学,2015.Yang Jun.Research on Construction Land Intensive Use Under the Background of New Urbanization:A Case Study of Wuhan Urban Agglomeration[D].Wuhan:China University of Geosciences,2015.(in Chinese with English abstract)
[2]孙宇杰,陈志刚.江苏省城市土地集约利用与城市化水平协调发展研究[J].资源科学,2012,34(5):889-895.Sun Yujie,Chen Zhigang.Coordinated development between urban land intensive use and urbanization level in Jiangsu province[J].Resources Science,2012,34(5):889-895(in Chinese with English abstract)
[3]Lau S S Y,Giridharan R,Ganesan S.Multiple and intensive land use:Case studies in Hong Kong[J].Habitat International,2005,29(3):527-546.
[4]姜海,曲福田,欧名豪,等.区域土地集约利用评价方法与应用[J].农业工程学报,2008,24(增1):117-123.Jiang Hai,Qu Futian,Ou Minghao,et al.Evaluation methods and application of regional land-use intensity[J].Transactions of the Chinese Society of Agricultural Engineering(Transactions of the CSAE),2008,24(Supp.1):117-123.(in Chinese with English abstract)
[5]李德仁,李熙.论夜光遥感数据挖掘[J].测绘学报,2015,44(6):591-601.Li Deren,Li Xi.An overview on data mining of nighttime light remote sensing[J].Acta Geodaetica Et Cartographica Sinica,2015,44(6):591-601.(in Chinese with English abstract)
[6]卓莉,陈晋,史培军,等.基于夜间灯光数据的中国人口密度模拟[J].地理学报,2005,60(2):266-276.Zhuo Li,Chen Jin,Shi Peijun,et al.Modeling population density of China in 1998 based on DMSP/OLS nighttime light image[J].Acta Geographica Sinica,2005,60(2):266-276.(in Chinese with English abstract)
[7]杨妮,吴良林,邓树林,等.基于DMSP/OLS夜间灯光数据的省域GDP统计数据空间化方法:以广西壮族自治区为例[J].地理与地理信息科学,2014,30(4):108-111.Yang Ni,Wu Lianglin,Deng Shulin,et al.Spatialization method of provincial statistical GDP data based on DMSP/OLS night lighting data:A case study of Guangxi zhuang autonomous region[J].Geography and Geo-Information Science,2014,30(4):108-111.(in Chinese with English abstract)
[8]陈晴,侯西勇.集成土地利用数据和夜间灯光数据优化人口空间化模型[J].地球信息科学学报,2015,17(11):1370-1377.Chen Qing,Hou Xiyong,An improved population spatialization model by combining land use data and DMSP/OLS data[J].Journal of Geo-Information Science,2015,17(11):1370-1377.(in Chinese with English abstract)
[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]Ghosh T,Powell R L,Elvidge C D,et al.Shedding light on the global distribution of economic activity[J].Open Geography Journal,2010,3(1):148-161.
[11]Doll C N H,Muller J P,Morley J G.Mapping regional economic activity from night-time light satellite imagery[J].Ecological Economics,2006,57(1):75-92.
[12]Cova T J,Sutton P C,Theobald D M.Exurban change detection in fire-prone areas with nighttime satellite imagery[J].Photogrammetric Engineering&Remote Sensing,2004,70(11):1249-1257.
[13]He C,Liu Z,Tian J,et al.Urban expansion dynamics and natural habitat loss in China:A multiscale landscape perspective.[J].Global Change Biology,2014,20(9):2886.
[14]Wu W,Wang H,Zhao H,et al.Research of China urban efficiency based on Suomi-NPP night-time light data[J].Procedia Environmental Sciences,2016,36:146-153.
[15]吴健生,牛妍,彭建,等.基于DMSP/OLS夜间灯光数据的1995-2009年中国地级市能源消费动态[J].地理研究,2014,33(4):625-634.Wu Jiansheng,Niu Yan,Peng Jian,et al.Research on energy consumption dynamic among prefecture-level cities in China based on DMSP/OLS nighttime light[J].Geographical Research,2014,33(4):625-634.(in Chinese with English abstract)
[16]吴健生,赫胜彬,彭建,等.基于DMSP-OLS数据的城市发展空间特征研究[J].地理与地理信息科学,2014,30(2):20-25.Wu Jiansheng,He Shengbin,Peng Jian,et al.Research on spatial characteristics of urban development based on DMSP-OLS data[J].Geography and Geo-Information Science,2014,30(2):20-25.(in Chinese with English abstract)
[17]Huang X,Schneider A,Friedl M A.Mapping sub-pixel urban expansion in China using MODIS and DMSP/OLS nighttime lights[J].Remote Sensing of Environment,2016,175:92-108.
[18]刘继生,陈彦光.山东省城市人口-城区面积的异速生长特征探讨[J].地理科学,2005,25(2):135-141.Liu Jisheng,Chen Yanguang.An allometric analysis of the Shandong urban system using ideas from Fractals[J].Scientia Geographica Sinica,2005,25(2):135-141.(in Chinese with English abstract)
[19]Lee Y.An allometric analysis of the U.S.urban system:1960-80[J].Environment&Planning A,1989,21(4):463-476.
[20]陈彦光,许秋红.区域城市人口-面积异速生长关系的分形几何模型:对Nordbeck-Dutton城市体系异速生长关系的理论修正与发展[J].信阳师范学院学报:自然科学版,1999,12(2):198-203.Chen Yanguang,Xu Qiuhong.Studies on the fractal geometric model of allometric growth relationships between area and population of urban systems[J].Journal of Xinyang Normal University,1999,12(2):198-203.(in Chinese with English abstract)
[21]孙在宏,袁源,王亚华,等.基于分形理论的江苏省城市规模分布与异速生长特征[J].地理研究,2011,30(12):2163-2172.Sun Zaihong,Yuan Yuan,Wang Yahua,et al.Research on city-size distribution and allometric growth in Jiangsu Province based on fractal theory[J].Geographical Research,2011,30(12):2163-2172.(in Chinese with English abstract)
[22]王亚华,袁源,王映力,等.人口城市化与土地城市化耦合发展关系及其机制研究:以江苏省为例[J].地理研究,2017,36(1):149-160.Wang Yahua,Yuan Yuan,Wang Yingli,et al.Relationship and mechanism of coupling development between population and land urbanization:A case study of Jiangsu province[J].Geographical Research,2017,36(1):149-160.(in Chinese with English abstract)
[23]Bennett M M,Smith L C.Advances in using multitemporal night-time lights satellite imagery to detect,estimate,and monitor socioeconomic dynamics[J].Remote Sensing of Environment,2017,192:176-197.
[24]Henderson M,Yeh E T,Gong P,et al.Validation of urban boundaries derived from global night-time satellite imagery[J].International Journal of Remote Sensing,2003,24(3):595-609.
[25]宋金超,李新虎,吝涛,等.基于夜晚灯光数据和Google Earth的城市建成区提取分析[J].地球信息科学学报,2015,17(6):750-756.Song Jinchao,Li Xinhu,Lintao,et al.A method of extracting urban built-up area based on DMSP/OLS nighttime data and Google Earth[J].Journal of Geo-Information Science,2015,17(6):750-756.(in Chinese with English abstract)
[26]Pandey B,Zhang Q,Seto K C.Comparative evaluation of relative calibration methods for DMSP/OLS nighttime lights[J].Remote Sensing of Environment,2017,195:67-78.
[27]Wu J,He S,Peng J,et al.Intercalibration of DMSP-OLSnight-time light data by the invariant region method[J].International Journal for Remote Sensing,2013,34(20):7356-7368.
[28]曹子阳,吴志峰,匡耀求,等.DMSP/OLS夜间灯光影像中国区域的校正及应用[J].地球信息科学学报,2015,17(9):1092-1102.Cao Ziyang,Wu Zhifeng,,Kuang Yaoqiu,et al.Correction of DMSP/OLS night-time light images and its application in China[J].Journal of Geo-Information Science,2015,17(9):1092-1102.(in Chinese with English abstract)
[29]Chen Y.Multi-scaling allometric analysis for urban and regional development[J].Physica A Statistical Mechanics&Its Applications,2016,465:673-689.
[30]陈彦光,周一星.基于RS数据的城市系统异速生长分析和城镇化水平预测模型:基本理论与应用方法[J].北京大学学报:自然科学版,2001,37(6):819-826.Chen Yanguang,Zhou Yixing.Researches in models of allometric analysis of urban systems and forecast of urbanization level based on RS data of urban area[J].Acta Scicentiarum Naturalum Universitis Pekinesis,2001,37(6):819-826.(in Chinese with English abstract)
[31]刘继生,陈彦光.山东省城市人口-城区面积的异速生长特征探讨[J].地理科学,2005,25(2):135-141.Liu Jisheng,Chen Yanguang.An allometric analysis of the Shandong Urban system using ideas from fractals[J].Scientia Geographica Sinica,2005,25(2):135-141.(in Chinese with English abstract)
[32]杨俊.新型城镇化背景下建设用地集约利用研究[D].武汉:中国地质大学,2015.Yang Jun.Research on Construction Land Intensive Use Under the Background of New Urbanization:A Case Study of Wuhan Urban Agglomeration[D].Wuhan:China University of Geosciences,2015.(in Chinese with English abstract)