Spatial recognition of the urban-rural fringe of Beijing using DMSP/OLS nighttime light data

doi:10.3390/rs9111141

CORC > 兰州理工大学 > 兰州理工大学 > 土木工程学院

	Spatial recognition of the urban-rural fringe of Beijing using DMSP/OLS nighttime light data
	Yang, Yuli 2,3,4; Ma, Mingguo 1; Tan, Chao 1; Li, Wangping 3
刊名	Remote Sensing
	2017-11-01
卷号	9 期号:11
关键词	Agricultural robots Image segmentation Population statistics Beijing Break-point method DMSP/OLS night-time lights Light intensity fluctuations Python programming language Statistical analysis methods Statistical standards Urban-rural fringes
ISSN号	2072-4292
DOI	10.3390/rs9111141
英文摘要	Spatial identification of the urban-rural fringes is very significant for deeply understanding the development processes and regulations of urban space and guiding urban spatial development in the future. Traditionally, urban-rural fringe areas are identified using statistical analysis methods that consider indexes from single or multiple factors, such as population densities, the ratio of building land, the proportion of the non-agricultural population, and economic levels. However, these methods have limitations, for example, the statistical data are not continuous, the statistical standards are not uniform, the data is seldom available in real time, and it is difficult to avoid issues on the statistical effects from edges of administrative regions or express the internal differences of these areas. This paper proposes a convenient approach to identify the urban-rural fringe using nighttime light data of DMSP/OLS images. First, a light characteristics-combined value model was built in ArcGIS 10.3, and the combined characteristics of light intensity and the degree of light intensity fluctuation are analyzed in the urban, urban-rural fringe, and rural areas. Then, the Python programming language was used to extract the breakpoints of the characteristic combination values of the nighttime light data in 360 directions taking Tian An Men as the center. Finally, the range of the urban-rural fringe area is identified. The results show that the urban-rural fringe of Beijing is mainly located in the annular band around Tian An Men. The average inner radius is 19 km, and the outer radius is 26 km. The urban-rural fringe includes the outer portions of the four city center districts, which are the Chaoyang District, Haidian District, Fengtai District, and Shijingshan District and the part area border with Daxing District, Tongzhou District, Changping District, Mentougou District, Shunyi District, and Fangshan District. The area of the urban-rural fringe is approximately 765 km2. This paper provides a convenient, feasible, and real-time approach for the identification of the urban-rural fringe areas. It is very significant to extract the urban-rural fringes. © 2017 by the authors.
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	MDPI AG
WOS记录号	WOS:000416554100056
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/150209]
专题	土木工程学院
作者单位	1.Chongqing Engineering Research Center for Remote Sensing Big Data Application, Southwest University, Chongqing; 400715, China 2.Northwest Institute of Eco-Environment and Resources, CAS, Lanzhou; 730000, China; 3.School of civil engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 4.University of Chinese Academy of Sciences, Beijing; 100049, China;
推荐引用方式 GB/T 7714	Yang, Yuli,Ma, Mingguo,Tan, Chao,et al. Spatial recognition of the urban-rural fringe of Beijing using DMSP/OLS nighttime light data[J]. Remote Sensing,2017,9(11).
APA	Yang, Yuli,Ma, Mingguo,Tan, Chao,&Li, Wangping.(2017).Spatial recognition of the urban-rural fringe of Beijing using DMSP/OLS nighttime light data.Remote Sensing,9(11).
MLA	Yang, Yuli,et al."Spatial recognition of the urban-rural fringe of Beijing using DMSP/OLS nighttime light data".Remote Sensing 9.11(2017).