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

Remote Sensing

Volumn 9, Issue 11, 2017, Pages

  Yang, Yuli ^a,b,c   Ma, Mingguo ^d   Tan, Chao ^d   Li, Wangping ^b  

^a Chinese Academy of Sciences   (China)

^b LANZHOU UNIVERSITY OF TECHNOLOGY   (China)

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^d SOUTHWEST UNIVERSITY   (China)

Author keywords

Beijing; Breakpoint method; DMSP OLS nighttime light data; Urban rural fringe area

Indexed keywords

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;

RURAL AREAS;

EID: 85034769819     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs9111141     Document Type: Article

References (49)

1. Wang, S.; Li, S.; Liu, J. Discussion on land use regulation in urban-rural fringe zone. J. Geomat. 2000, 4, 15-19
2. Peterson, M.P.; Hunt, P.;Weiß, K. Mapping air population. J. Geovis. Spat. Anal. 2017, 1, 4
3. Heitzler, M.; Lam, J.C.; Hackl, J.; Adey, B.T.; Hurni, L. GPU-accelerated rendering methods to visually analyze large-scale disaster simulation data. J. Geovis. Spat. Anal. 2017, 1, 3
4. Fu, C.; Chen, M. Research progress of urban and rural fringe in China. Prog. Geogr. 2010, 29, 1525-1531
5. Lv, J.; Liu, L. Problems and Countermeasures of community management in urban-rural fringes. Future Dev. 2009, 6, 55-58
6. Fu, J.; Song, Y. Problems and Countermeasures in urban-rural fringes. Terr. Nat. Resour. Study 2002, 3, 6-8
7. Xun, W.; Wang, Y.; Jia, Y. Spatial identification and the evolvement of land use structure of rural-urban rapidly urbanized area-A case study of Shenyang. Terr. Nat. Resour. Study 2015, 5, 12-15
8. Chen, B. Land use problems and counter measures in Beijing urban-rural fringe. Econ. Geogr. 1996, 16, 46-50
9. Weir, R.E. A field guide to sprawl. J. Am. Cult. 2010, 28, 129-130
10. Russwurm, L.H. The Development to Fan Urban Corridor System, Torontoto Stratford Area: 1941-1966; Department of Geography and Planning and Resources Institute, University of Waterloo: Waterloo, ON, Canada, 1969
11. Song, G. A Study of Social Structure Change in Urban and Rural Fringe; Northwest Normal University: Lanzhou, China, 2003
12. Zhang, Q.; Hao, Y. Analysis of income distribution gap of the residents in urban-rural fringe. Prod. Res. 2007, 2, 88-89
13. Xu, G.; Chen, B.; Yao, M. Research on the division methods of spatial boundary in urban-rural fringe. J. Anhui Agric. Sci. 2010, 38, 995-998
14. Bo, Z.W.; Qi, F.X.; Sheng, Z.L. Method to identify the urban-rural fringe by TM images. J. Remote Sens. 1999, 3, 210-220
15. Chen, B. Review on identification method and driving mechanism of Peri-urban Area. Prog. Geo 2012, 31, 210-220
16. Li, S.; Bai, R. Determination of zone feature in fringe of a big city based on fuzzy overall evaluation. J. China Agric. Univ. 2005, 10, 99-104
17. Xia, H. The Definition and Development Exploration of Shijiazhuang Urban Fringe; Hebei University: Baoding, China, 2008
18. Qian, Z.; Chen, X. The research on division methods of urban fringe-A case study of Xi'an. J. Grad. Sun Yat-Sen Univ. 2006, 26, 54-62
19. Lin, J. Spatial identification and land use of urban-rural lingkage area: A case study of the central city area in Beijing. City Plan. Rev. 2007, 31, 36-45
20. Cai, D.; Li, M.; Chen, Z.; Li, F.X.; Wei, W. A method of division of urban fringe based on message entropy-A case study in Nanjing city. Sci. Surv. Mapp. 2010, 35, 106-109
21. Cao, G.; Liao, Y.; Liu, T. Seeking a method for identifying the urban fringe spatially based on industrial activities: A case study of Beijing city. Geogr. Res. 2009, 28, 771-780
22. Peng, J.; Ma, J.; Yuan, Y. Research progress and prospect on the identification of urban fringe. Prog. Geogr. 2014, 33, 1068-1077
23. Elvidge, C.D.; Sutton, P.C.; Turtle, B.T. Change detection in satellite observed nighttime lights: 1992-2003. In Proceedings of the 2007 Urban Remote Sensing Joint Event, Paris, France, 11-13 April 2007; pp. 1-4
24. He, C.; Li, J.; Chen, J.; Shi, P.; Chen, J.; Pan, Y.; Li, J.; Zhuo, L.; Toshiaki, I. The urbanization process of Bohai Rim in the 1990s by using DMSP/OLS data. J. Geogr. Sci. 2006, 16, 174-182
25. Cao, X.; Chen, J.; Imura, H.; Higashi, O. A SVM-based method to extract urban areas from DMSP-OLS and SPOT VGT data. Remote Sens. Environ. 2009, 113, 2205-2209
26. Small, C.; Pozzi, F.; Elvidge, C.D. Spatial analysis of global urban extent from DMSP-OLS night lights. Remote Sens. Environ. 2005, 96, 277-291
27. McDonald, R.I.; Kareiva, P.; Forman, R.T. The implications of current and future urbanization for global protected areas and biodiversity conservation. Biol. Conserv. 2008, 141, 1695-1703
28. Sutton, P.; Taylor, M.; Elvidge, C.D. Using DMSP-OLS imagery to characterize urban populations in developed and developing countries. In Remote Sensing of Urban and Suburban Areas; Springer: Dordrecht, The Netherlands, 2010; pp. 329-348
29. Chand, T.K.; Badarinath, K.V.S.; Elvidge, C.D.; Tuttle, B.T. Spatial characterization of electrical power consumption patterns over India using temporal DMSP-OLS night-time satellite data. Int. J. Remote Sens. 2009, 30, 647-661
30. 2 emissions. Energy Policy 2010, 38, 4756-4764
31. Chalkias, C.; Petrakis, M.; Psiloglou, B.; Lianou, M. Modelling of light pollution in suburban areas using remotely sensed imagery and GIS. J. Environ. Manag. 2006, 79, 57-63
32. Chand, T.K.; Badarinath, K.V.S.; Murthy, M.S.R.; Rajshekhar, G.; Elvidge, C.D.; Tuttle, B.T. Active forest fire monitoring in Uttaranchal State, India using multi-temporal DMSP-OLS and MODIS data. Int. J. Remote Sens. 2007, 28, 2123-2132
33. Waluda, C.M.; Griffiths, H.J.; Rodhouse, P.G. Remotely sensed spatial dynamics of the Illex argentinus, fishery, Southwest Atlantic. Fish. Res. 2008, 91, 196-202
34. Chand, T.K.; Badarinath, K. Quantification of trace gas emissions from shifting cultivation areas using remote sensing and ground based measurements. Curr. Sci. (India) 2007, 92, 891-894
35. Beijing (capital of People's Republic of China)_Baidu Encyclopedia. Available online: https://baike.baidu.com/item/%E5%8C%97%E4%BA%AC/128981?fr=aladdin&fromid=126069&fromtitle= %E5%8C%97%E4%BA%AC%E5%B8%82 (accessed on 2 November 2017)
36. Beijing Statistical Yearbook. Available online: http://www.bjstats.gov.cn/nj/main/2016-tjnj/zk/indexch. htm (accessed on 1 November 2017)
37. Hu, N. Exploration of the Development of the Urban-Rural Fringe in Beijing under the New Situation. Real Estate Inf. China 2016, 4, 51
38. Research on Urbanization of Beijing Fringe Area Based on Urban-Rural Fringe. Available online: https://wenku.baidu.com/view/17c6caa4b0717fd5360cdc3b.html (accessed on 1 November 2017)
39. He, C.; Shi, P.; Li, J.; Zhuo, L.; Ichinose, T. Spatial restruction of urbanization in Chinese mainland in 1990s Using DMSP/OLS night light data and statistical data. China Sci. Bull. 2006, 51, 856-861
40. Version 4 DMSP-OLS Nighttime Lights Time Series. Available online: https://ngdc.noaa.gov/eog/DMSP/downloadV4composites.html (accessed on 12 October 2016)
41. Baugh, K.; Elvidge, C.; Ghosh, T.; Ziskin, D. Development of a 2009 stable lights product using DMSP-OLS data. Proc. Asia Pac. Adv. Netw. 2010, 30, 114-130
42. Zhang, W.; Fang, X.; Zhang, L. Study on the method of dividing urban and rural transition zones by remote sensing images. J. Remote Sens. 1999, 3, 199-202
43. Lv, H.; Yang, S.; Zhang, T. Research on urban-rural-integration area and information extraction based on remote sensing images-A case study ofWuxi. J. Nanjing Norm. Univ. 2004, 2, 98-102
44. Fan, H.; Liu, W.; Wu, B. Spatio-temperal characteristics of internal coordination of intensive urban land use: A case study of the downtown ofWuhan. Sci. Geogr. 2014, 34, 697-704
45. Zhang, W.; Zhou, Y.; Hu, W. Coupling mechanism and space-time coordination of new-approach urbanization, New-approach industrialization and service industry modernization in Megacity Behemoths: A case study of ten cities in China. Sci. Geogr. 2013, 33, 562-569
46. Yang, M. Review on applications of DMSP/OLS Night-time emissions data. Remote Sens. Technol. Appl. 2011, 26, 45-51
47. Bai, T.; Zheng, X.; Yang, X. The study of the division of the rural-urban fringe based on residential area density. In Exploitation and Utilization of Land Resources and Coordinated Development of Human and Land in Mountain Areas of China; Geospatial Information: Wuhan, China, 2010
48. Zeng, Z.;Wang, L. Research on land use and development mode of Beijing urban fringe under the 'Green Divided' policy. Urban Stud. 2014, 21, 24-28
49. Qi, B.; Zhou, D. Development and enlightenment of urban and rural fringe of Beijing. Urban Probl. 2007, 1, 61-64