Spatial metrics and modelling for urban structure of Kolkata through

Geoinformatics

 http://wgbis.ces.iisc.ernet.in/energy/

T.V. Ramachandra1,2,*, Bharath H. Aithal1,2, M.V. Sowmyashree1

1Energy & Wetlands Research Group, Center for Ecological Sciences [CES], Bangalore, India,
2Centre for Sustainable Technologies (Astra), Bangalore, India
*Corresponding author: Indian Institute of Science, Centre for infrastructure, Sustainable Transportation and Urban Planning [CiSTUP],
Bangalore, Karnataka 560 012, INDIA, E-mail: cestvr@ces.iisc.ernet.in, energy@ces.iisc.ernet.in.

Citation : T. V. Ramachandra, Bharath H. Aithal, M. V. Sowmyashree, 2014. Urban structure in Kolkata: metrics and modelling through geo-informatics, Appl Geomat, 6(22):1-16.DOI 10.1007/s12518-014-0135-y

References

  1. Angel S, Parent J, Civco D, (2007) Urban sprawl metrics: an analysis of global urban expansion using GIS. Proceedings of ASPRS 2007 Annual Conference, Tampa, Florida May 7–11.URL: http://clear.uconn.edu/publications/research/tech_papers/Angel_et_al_ASPRS2007.pdf
  2. Bhatta B, (2009) Analysis of urban growth pattern using remote sensing and GIS: a case study of Kolkata, India. International Journal of Remote Sensing, 30(18):4733–4746.
  3. Bhatta B, (2010) Analysis of urban growth and sprawl from remote sensing data. Berlin, Heidelberg: Springer-Verilog.
  4. Bonnerjee S, (2012) Multi- functional role of the urban waterways: A case study of Kolkata. In proceedings of internal river symposium, at Melbourne, Australia, 8 – 12 oct, 2012.
  5. Bunting S W, Kundu N, Mukherjee M, (2002) Situation analysis of production systems and natural resource use in PU Kolkata. Sterling, UK: Institute of Aquaculture
  6. Census of India, 2011, (http://censusindia.gov.in/).
  7. Congalton R G, (1991) A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37:35-46.
  8. Congalton R G, Oderwald R G, Mead R A, (1983) Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques. Photogrammetric Engineering and Remote Sensing, 49:1671-1678.
  9. Duda R O, Hart P E, Stork D G, (2000) Pattern Classification, A Wiley-Intdrscience Publication, Second Edition, ISBN 9814-12-602-0.
  10. Galster G, Hanson R, Ratclfee, M R, (2001) Wrestling sprawl to the ground: Defining and measuring an elusive concept, Housing Policy Debate, 12(4):681-717
  11. Gustafson E J, (1998) Quantifying landscape spatial pattern: what is the state of the art? Ecosystems, 1:143–156.
  12. Herold M, Clarke K, Scepan J, (2002) The use of remote sensing and landscape metrics to describe structures and changes in urban land uses, Environment and Planning, 34:1443-1458.
  13. Herold M, Goldstein N, Clarke K, (2003) The spatiotemporal form of urban growth: measurement, analysis and modeling, Remote Sensing of Environment, 86:286-302.
  14. Jiang F, Liu S, Yuan H, Zhang Q, (2007) Measuring urban sprawl in Beijing with geo-spatial indices, Journal of Geographical Sciences, 17:469-478.
  15. Lillesand T M, Kiefer R W, (2002) Remote Sensing and Image Interpretation, Fourth Edition, John Wiley and Sons, ISBN 9971-51-427-3. 215-216
  16. Maiti S, Agrawal P K, (2005) Environmental Degradation in the Context of Growing Urbanization: A Focus on the Metropolitan Cities of India, J. Hum. Ecol., 17(4): 277-287.
  17. Maktav D, Erbek F S, (2005). Analyse of urban growth using multi-temporal satellite data in Istanbul, Turkey. International Journal of Remote Sensing, 26(4): 797-810
  18. McGarigal K, Marks, B J, (1995) FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. USDA Forest Service General Technical Report PNW-351.
  19. Mitrakis N E, Topalogou C A, et al. (2008). A novel self-organising neuro-fuzzy multilayered classifier for land cover classification of a VHR image. International Journal of Remote Sensing, 29:4061−4087
  20. Peiser R, (2001) Decomposing urban sprawl. Town Planning Review, 72(3):275–298.
  21. Rahman A, (2007) Application of Remote Sensing and GIS Techniques for Urban Environmental Management and Sustainable Development of Delhi, India, Applied Remote Sensing for Urban Planning, Governance and Sustainability, Springer-Verilog Publishers, New York: 165-197.
  22. Ramachandra T V, Bharath A H, Durgappa D S, (2012) Insights to urban dynamics through landscape spatial pattern analysis, Int. J Applied Earth Observation and Geoinformation, 18: 329-343.
  23. Ramachandra T V, Kumar U, (2008) Wetlands of Greater Bangalore, India: Automatic Delineation through Pattern Classifiers.  Electronic Green Journal, 26:1076-7975.
  24. Stow D A, Chen D M, (2002) Sensitivity of Multi-Temporal NOAA AVHRR Data of an Urbanizing Region to Land Use/Cover Changes and Mis-registration, Remote Sensing of Environment, 80: 297-307.
  25. Sudhira H S, Ramachandra T V, Bala Subramanya M H, 2007.  City Profile: Bangalore, Cities l24 (4):379-390.
  26. Sudhira H S, Ramachandra T V, Jagadish, KS, (2004) Urban sprawl:  metrics, dynamics and modelling  using  G1S.  Int.  J  Applied Earth Observation and Geoinformation, 5:29-39.
  27. Taubenbock H, Esch T, Thiel M, et al. (2008a). Urban structure analysis of mega city Mexico City using multi-sensoral remote sensing data. In Proceedings of SPIE-Europe (international society for optical engineering) conference, Cardiff, Wales.
  28. Taubenbock H, Wegmann M, Berger C, Breunig M, Roth A, Mehl H, (2008b). Spatiotemporal analysis of Indian megacities. In Proceedings of the international archives of the photogrammetry, remote sensing and spatial information sciences, XXXVII: 75–82, Part B2.
  29. Torrens P M, Alberti M, (2000) Measuring sprawl. Working paper no. 27, Centre for Advanced Spatial Analysis, University College, London.
  30. Turner B L, (1994) Local Faces, Global Flows: The Role of Land Use and Land Cover in Global Environmental Change, Land Degradation and Development, 5: 71-78.
  31. Turner M G, Gardner R H, O'Neill, R V, (2001) Landscape ecology in theory and practice: Pattern and process, Springer, New York.
  32. United Nations Population Fund, (2007) The State of World Population 2007: Unleashing the Potential of Urban Growth, United Nations Publications, and Chapter 1.
  33. Yeh A G O, Li X, (1999) Economic Development and Agricultural Land Loss in the Pearl River Delta, China, Habitat International, 23: 373-390.
  34. Zhang L, Wu J, Zhen Y, Shu J, (2004) A GIS-based gradient analysis of urban landscape pattern of Shanghai metropolitan area, China. Landscape Urban Plan, 69:1–16.
  35. http://wgbis.ces.iisc.ernet.in/energy/paper/comparitive/methodlogy.htm
* Corresponding Author :
  Dr. T.V. Ramachandra
Energy & Wetlands Research Group, Centre for Ecological Sciences, Indian Institute of Science, Bangalore – 560 012, INDIA.		   Tel : 91-80-23600985 / 22932506 / 22933099,
Fax : 91-80-23601428 / 23600085 / 23600683 [CES-TVR]
E-mail : cestvr@ces.iisc.ernet.in, energy@ces.iisc.ernet.in,
Web : http://wgbis.ces.iisc.ernet.in/energy