基于夜间灯光数据的中国城市用地扩展类型
收稿日期: 2005-08-15
修回日期: 2005-11-01
网络出版日期: 2006-02-25
基金资助
985工程GIS与遥感的地学应用科技创新平台资助 (105203200400006); 国家杰出青年科学基金项目 (40425008)
Identification and Characteristics Analysis of Urban Land Expansion Types in China in the 1990s Using DMSP/OLS Data
Received date: 2005-08-15
Revised date: 2005-11-01
Online published: 2006-02-25
Supported by
985 Project' of GIS and Remote Sensing for Geosciences from the Ministry of Education of China, No.105203200400006; The National Science Fund for Distinguished Young Scholars. No. 40425008
针对目前在城市用地空间扩展类型的划分与识别方面存在的问题,首次提出了基于夜间灯光图像像元灯光强度的时间变化特征对城市用地空间扩展类型进行分类/识别的方法, 并应用该方法将中国1992~1998年间的城市用地空间扩展类型分成了3级7大类,进而对这些扩展类型的区域结构、空间分布和开发强度进行了分析,揭示了1992~1998年间中国城市用地空间扩展的一些主要特征。提出以像元为分析对象、并采用多级分类的方法,不仅实现了大尺度上城市用地空间扩展类型的快速识别,而且还在保证分类结果与其他相关研究结果衔接一致的前提下,提供了更为详细且符合实际的城市用地空间扩展信息。
卓莉, 李强, 史培军, 陈晋, 郑璟, 黎夏 . 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 . DOI: 10.11821/xb200602006
China has been undergoing widespread urbanization process at unprecedented speed since the 1990s. The urban land expansion is an important aspect of urbanization and has diversified types and characteristics, so the identification of urban land expansion types is thought to be crucial for the study of urbanization and urban development management. In view of the insufficiencies in the previous studies, this paper presented a new method for identifying the urban land expansion types based on the temporal change characteristics of light intensity of each cell obtained from the non-radiance calibrated DMSP/OLS nighttime light data of China in 1992, 1996 and 1998. According to the method, the types of urban land expansion were classified into two categories and seven subtypes as accelerated intensifying type, steadily intensifying type, decelerated intensifying type, unchanging type and unsteady type in the infilling category, and 1996 new expansion type, 1998 new expansion type in the sprawling category. In terms of the classification result, this paper analyzed the characteristics of urban land expansion types in composition structure, spatial distribution and developing intensity further, in which some meaningful conclusions were drawn. The new method presented in this paper seems to be useful because it can not only identify the types of urban land expansion on large scale rapidly and simply, but also provide more detailed and realistic information on urban land expansion on the premise of ensuring the comparability of classification result with other researches.
[1] Yan Xiaopei, Lin Zhangping. The change of spatial disparities of urban development in China, 1990s. Acta Geographica Sinica, 2004, 59(3): 437-445.
[闫小培, 林彰平. 20世纪90年代中国城市发展空间差异变动分析. 地理学报, 2004, 59(3) : 437-445.]
[2] Shi Peijun, Chen Jin, Pan Yaozhong. The mechanism analysis on land use/cover change in Shenzhen City. Acta Geographica Sinica, 2000, 55(2): 151-160.
[史培军, 陈晋, 潘耀忠. 深圳市土地利用变化机制分析. 地理学报, 2000, 55(2): 151-160.]
[3] Li X, Ye J An. Application of PCA in improving land use/cover detection precision: a case study on urban land use expand in Zhujiang Delta. Journal of Remote Sensing, 1997, 1(4): 282-289.
[黎夏, 叶嘉安. 利用主成分分析改善土地利用变化的遥感监测精度: 以珠江三角洲城市用地扩张为例. 遥感学报, 1997, 1(4): 282-289.]
[4] He Chunyang, Shi Peijun, Chen Jin et al. Process and mechanism of urbanization in Beijing area. Acta Geographica Sinica, 2002, 57(3): 363-371.
[何春阳, 史培军, 陈晋 等. 北京地区城市化过程和机制研究. 地理学报, 2002, 57(3): 363-371.]
[5] Xu Xueqiang, Zhou Yixing, Ning Yuemin. Urban Geography. Beijing: Higher Education Press, 1997.
[许学强, 周一星, 宁越敏. 城市地理学. 北京: 高等教育出版社, 1997.]
[6] Leorey O M, Nariida C S. A framework for linking urban form and air quality. Environmental Modelling & Software, 1999, 14: 541-548.
[7] Roberto C, Maria C G, Paolo R. Urban mobility and urban form: the social and environmental cost of different patterns of urban expansion. Ecological Economics, 2002, 40(2): 192-216.
[8] Liu Jiyuan, Wang Xinsheng, Zhuang Dafang et al. Application of convex hull in identifying the types of urban land expansion. Acta Geographica Sinica, 2003, 58(6): 885-892.
[刘纪远, 王新生, 庄大方 等. 凸壳原理用于城市用地空间扩展类型识别. 地理学报, 2003, 58(6): 885-892.]
[9] Zhuo Li, Shi Peijun, Chen Jin et al. Application of compounded night light index derived from DMSP/OLS data to urbanization analysis in China in the 1990s. Acta Geographica Sinica, 2003, 58(6): 893-902.
[卓莉, 史培军, 陈晋 等. 20世纪90年代中国城市时空变化特征: 基于灯光指数CNLI方法的探讨. 地理学报, 2003, 58(6): 893-902.]
[10] Zhuo Li, Chen Jin, Shi Peijun et al. Modeling population density of China in 1998 based on nighttime light image. Acta Geographica Sinica, 2005, 60(2): 266-276.
[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. 地理学报, 2005, 60(2): 266-276.]
[11] Elvidge C D, Baugh K E, Kihn E A et al. Mapping city lights with nighttime data from the DMSP operational Line-scan System. Photogrammetric Engineering and Remote Sensing, 1997, 63: 727-734.
[12] Elvidge C D, Baugh K E, Dietz J B et al. Radiance calibration of DMSP-OLS low-light imaging data of human settlements. Remote Sensing of Environment, 1999, 68(1): 77-88.
[13] Small C, Pozzi F, Elvidge C D. Spatial analysis of global urban extent from DMSP-OLS night lights. Remote Sensing of Environment, 2005, 96(3-4): 277-291.
[14] Imhoff M L, Lawrence W T, Elvidge C et al. Using nighttime DMSP/OLS images of city lights to estimate the impact of urban land use on soil resources in the U.S. Remote Sensing of Environment, 1997, 59(1): 105-117.
[15] 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 areas. Remote Sensing of Environment, 1997, 61(3): 361-370.
[16] Imhoff M L, Tucker C J, Lawrence W T et al. The use of multisourse satellite and geospatial data to study the effect of urbanization on primary productivity in the United States. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(6): 2549-2556.
[17] Sutton P, Roberts D, Elvidge C D et al. A comparison of nighttime satellite imagery and population density for the Continental United States. Photogrammetric Engineering and Remote Sensing, 1997, 63(11): 1303-1313.
[18] Sutton P, Roberts D, Elvidge C et al. Census from heaven: an estimate of the global human population using night-time satellite imagery. Remote Sensing of Environment, 2001, 22 (16): 3061-3076.
[19] Sutton P. A scale-adjusted measure of ''urban sprawl'' using nighttime satellite imagery. Remote Sensing of Environment, 2002, 86(3): 353-369.
[20] Lo C P, Welch R. Chinese urban population estimates. Annals of the Association of Amerecan Geographers, 1977, 67: 246-253.
[21] Lo C P. Urban indicators of China from radiance-calibrated digital DMSP-OLS nighttime image. Annals of the Association of American Geographers, 2002, 92(2): 225-240.
/
| 〈 |
|
〉 |