Delineation of Central Business Districts in mega city regions using remotely sensed data

Remote Sensing of Environment

Volumn 136, Issue , 2013, Pages 386-401

  Taubenbock H ^a   Klotz, M ^a   Wurm, M ^a   Schmieder, J ^b   Wagner, B ^b   Wooster, M ^c   Esch, T ^a   Dech, S ^a  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

^b Münchener Rückversicherungs Gesellschaft Munich Re   (Germany)

^c KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

3 D city model; Cartosat 1; Central Business District; Classification; Digital surface model; Landsat; Megacity; Spatial metrics; Spatial pattern; Urban structure type

Indexed keywords

CARTOSAT-1; CENTRAL BUSINESS DISTRICTS; CITY MODEL; DIGITAL SURFACE MODELS; LANDSAT; MEGACITIES; SPATIAL METRICS; SPATIAL PATTERNS; URBAN STRUCTURE TYPES;

CLASSIFICATION (OF INFORMATION); MODELS;

THREE DIMENSIONAL;

ACCURACY ASSESSMENT; CARTOGRAPHY; CARTOSAT-1; CENTRAL BUSINESS DISTRICT; CLASSIFICATION; CONCEPTUAL FRAMEWORK; LANDSAT THEMATIC MAPPER; MEGACITY; REMOTE SENSING; SPATIAL ANALYSIS; THREE-DIMENSIONAL MODELING; URBAN MORPHOLOGY;

ENGLAND; FRANCE; ILE DE FRANCE; ISTANBUL [ISTANBUL (PRV)]; ISTANBUL [TURKEY]; LONDON [ENGLAND]; PARIS; TURKEY; UNITED KINGDOM; VILLE DE PARIS;

EID: 84879545442     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.05.019     Document Type: Article

References (60)

1. Angel S., Sheppard S.C., Civco D.L. Thy dynamics of global urban expansion 2005, Transport and Urban Development Department, World Bank, Washington.
2. Banzhaf E., Höfer R. Monitoring urban structure types as spatial indicators with CIR aerial photographs for a more effective urban environmental management. IEEE Transactions on Geoscience and Remote Sensing 2008, 1:129-138.
3. Bochow M. Automatisierungspotential von Stadtbiotopkartierungen durch Methoden der Fernerkundung 2010, (Thesis (PhD)), University of Osnabrück.
4. Borruso G., Porceddu A. A tale of two cities: Density analysis of CBD on two midsize urban areas in northeastern Italy. Geocomputation and urban planning 2009, 37-56. Springer, Berlin. B. Murgante, G. Borusso, A. Lapucci (Eds.).
5. Carol H. The hierarchy of central functions within the city. Annals of the Association of American Geographers 1960, 50:419-438.
6. Couclelis H. People manipulate objects (but cultivate fields): Beyond the raster-vector debate in GIS. Lecture Notes in Computer Science 1992, 2010:65-77. Springer, Berlin. A.U. Frank, I. Campari, U. Formentini (Eds.).
7. D'Angelo, Uttenthaler A., Carl S., BArner F., Reinartz P. Automatic generation high quality DSM based on IRS-P5 Cartosat-1 stereo data. ESA living planet symposium, Bergen, 28 June-2 July 2010 2010, ESA, Bergen.
8. Dare P.M. Shadow analysis in high-resolution satellite imagery of urban areas. Photogrammetric Engineering and Remote Sensing 2005, 71:169-177.
9. Drozdz M., Appert M. Re-understanding the CBD: A landscape perspective. Critical cities 2010, 1-14. Myrdle Court Press, London, (2010). D. Naik, T. Oldfield (Eds.).
10. Erteking O. Spatial distribution of shopping malls and analysis of their trade areas. European Planning Studies 2008, 16:143-155.
11. Ford L.R. The urban skyline as a city classification system. Journal of Geography 1976, 75:154-164.
12. Frug G.E., Barron D.J. City bound: How states stifle urban innovation 2008, Cornell University Press, New York.
13. Google Inc. Google Earth (Version 6.2.2.6613) Google Inc. 2012, [Software], Google Inc., Mountain View, CA.
14. Guillain R. Changes in spatial and sectoral patterns of employment in Ile-de-France. 1978-97. Urban Studies 2006, 43:2075-2098.
15. Haggett P. Geograhy: A global synthesis 2001, Pearson Education Limited, Harlow.
16. Halbert L. The Paris region: Polycentric spatial planning in a monocentric metropolitan region. The polycentric metropolis: Learning from mega-city regions in Europe 2006, 180-186. Earthscan Publications, London, (2006). P. Hall, K. Pain (Eds.).
17. Hall P.G., Pain K. The polycentric metropolis: Learning from mega-city regions in Europe 2006, Routledge, Oxon.
18. Haralick R.M., Stanley S.R., Zhumang X. Image analysis using mathematical morphology. IEEE Transactions on Pattern Analysis and Machine Intelligence 1987, 9:532-550.
19. Heineberg H. Stadtgeographie 2001, UTB, Paderborn. 2nd ed.
20. Herold M., Couclelis H., Clarke K.C. The role of spatial metrics in the analysis and modeling of land use change. Computers, Environment and Urban Systems 2005, 29:369-399.
21. Herold M., Liu C., Clarke K. Spatial metrics and image texture for mapping urban land use. Photogrammetric Engineering and Remote Sensing 2003, 69:991-1001.
22. Herold M., Scepan J., Clarke K.C. The use of remote sensing and landscape metrics to describe structures and changes in urban land uses. Environment and Planning 2002, 34:1443-1458.
23. Hu X.P., Weng Q. Impervious surface area extraction from IKONOS imagery using an object-based fuzzy method. Geocarto International 2011, 26:3-20.
24. Huang J., Lu X.X., Sellers J.M. A global comparative analysis of urban form: Applying spatial metrics and remote sensing. Landscape and urban planning 2007, 82:184-197.
25. IPHS - International Planning History Society 14th IPHS conference, 12-15 July 2012, Istanbul, Turkey: Urban transformation: Controversies, contrasts and challenges 2010, IPHS, ([Online] Available from: http://www.iphs2010.com/img/image0021.jpg [Accessed 28 July, 2012]).
26. Kaufman L., Rousseeuw P.J. Finding groups in data: An introduction to cluster analysis 1990, John Wiley & Sons, Hoboken: NJ.
27. Kuffer M., Barros J. Urban morphology of unplanned settlements: The use of spatial metrics in VHR remotely sensed images. Procedia Environmental Sciences 2011, 7:152-157.
28. Landmap © GeoPerspectives supplied by Bluesky 5m digital terrain model for England and Wales. Licensed by The GeoInformation Group, received and distributed by the Landmap service of Mimas at the University of Manchester [Online] 2012, (Available from: http://www.landmap.ac.uk/index.php/Datasets/REFERENCES68Bluesky-DTM/Key-Facts-Bluesky-DTM/menu-id-100331.html).
29. Lo C.P. Testing urban theories using remote sensing. GIScience & Remote Sensing 2007, 41:95-115.
30. Marguilos H.L. Commercial sub-markets in suburban Cuyahoga County, Ohio. Urban Studies 2007, 44:249-274.
31. McColl R.W. Encyclopedia of world geography 2005, Infobase Publishing, New York.
32. McGarigal K., Marks B. FRAGSTATS: Spatial pattern analysis program for quantifying landscape structure 1995, University of Massachusetts Amherst, ([Online] Available at: http://www.umass.edu/landeco/pubs/mcgarigal.marks.1995.pdf [Accessed 11 August 2011]).
33. Murphey E.M., Vance J.E. A comparative study of nine Central Business Districts. Economic Geography 1954, 30:301-336.
34. Murphey E.M., Vance J.E. Delimiting the CBD. Economic Geography 1954, 30:189-222.
35. Murphey R.E. The Central Business District - A study in urban geography 1971, Aldine Transaction, London.
36. Ning Y. An approach to shopping center location of Shanghai's urban area. Acta Geographica Sinica 1984, 39:163-172.
37. OSM - OpenStreetMap OSM shape file data - Downloaded via Quantum GIS for the test sites Canary Wharf, La Defense, and Levent 2012, OpenStreetMap, ([Online]. Available at: http://www.openstreetmap.org/ [Accessed: 13 April 2012]).
38. Pacione M. Urban geography: A global perspective 2005, Routledge, Oxon. 2nd ed.
39. Pan X.Z., Zhao Q.G., Chen J., Liang Y., Sun B. Analyzing the variation of building density using high spatial resolution satellite images: The example of Shanghai City. Sensors 2008, 8:2541-2550.
40. Pitzl R.P. Encyclopedia of human geography 2004, Greenwood Press, Westport.
41. Reynolds A.P., Richards G., De La Iglesia B., Rayward-Smith V.J. Clustering rules: A comparison of portioning and hierarchical clustering algorithms. Journal of Mathematical Modeling and Algorithms 2006, 475-504.
42. Richards J.A., Jia C. Remote Sensing Digital Image Analysis - An introduction 2006, Springer, Berlin.
43. Sassen S. The global city: New York, London, Tokyo 2001, Princeton University Press, Princeton. 2nd ed.
44. Seger M. Istanbul's backbone - A chain of Central Business Districts (CBDs). Urban development 2012, 201-216. InTech, (2012). P. Serafeim (Ed.).
45. Shin S.W. High-density spaces and living: Sustainable compact cities and high-rise buildings. Designing high-density cities for social and environmental sustainability 2008, 2010:293-308. Earthscan, London. E. Ng (Ed.).
46. Sliuzas R., Mboup G., de Sherbinin A. Report of the expert group meeting on slum identification and mapping. Report by CIESIN, UN-HABITAT, ITC 2008, 36.
47. Taubenböck H., Esch T., Felbier A., Wiesner M., Roth A., Dech S. Monitoring urbanization in mega cities from space. Remote Sensing of Environment 2012, 117:162-176.
48. Taubenböck H., Kraff N. The physical face of slums - A structural comparison of slums in Mumbai, India based on remotely sensed data. Journal of Housing and the Built Environment 2013, 10.1007/s10901-013-9333-x.
49. Taubenböck H., Wegmann M., Roth A., Mehl H., Dech S. Urbanization in India - Spatiotemporal analysis using remote sensing. Computers, Environment and Urban Systems 2009, 33:179-188.
50. Thomas R.W., Hugget R.J. Modelling in geography: A mathematical approach 1980, Barnes and Noble Books, Totowa, NJ.
51. Thurstain-Goodwin M., Unwin D.J. Defining and delineating the central areas of towns for statistical monitoring using continuous surface representations. Transactions in GIS 2000, 4:305-318.
52. Trip J.J. What makes a city? Planning for "quality of place": The case of high-speed train station area redevelopment 2007, IOS Press, Amsterdam.
53. Tukey J.W. Exploratory data analysis 1970, Addison-Wesley Publishing Company, London.
54. Waugh D. Geography - An integrated approach 2000, Nelson Thornes, Cheltenham. 3rd ed.
55. Wu C., Murray A.T. Estimating impervious surface distribution by spectral mixture analysis. Remote Sensing of Environment 2003, 64:493-505.
56. Wurm M., Taubenböck H. Fernerkundung als Grundlage zur Identifikation von Stadtstrukturtypen. Fernerkundung im urbane Raum 2010, 94-103. WBG, Darmstadt, (2010). H. Taubenböck, S. Dech (Eds.).
57. Wurm M., Taubenböck H., Dech S. Urban structuring using multisensoral remote sensing data. Proceedings of the joint urban remote sensing event, Shanghai, China, 20-22 May 2009 2009, URS/URBAN, Shanghai.
58. Wurm M., Taubenböck H., Schardt M., Esch T., Dech S. Object-based image information fusion using multisensor earth observation data over urban areas. International Journal of Image and Data Fusion 2011, 2:121-147.
59. Yager R. Fuzzy sets and applications: Selected papers 1987, John Wiley and Sons, New York.
60. Yigitcanlar T., Velibeyoglu K., Baum S. Creative urban regions: Harnessing urban technologies to support knowledge city initiatives 2008, IGI Global, London.