URBAN FOOTPRINT OF MUMBAI - THE COMMERCIAL CAPITAL OF INDIA

Ramachandra. T.V 1,2,3,*, Bharath H. Aithal2, Sowmyashree M.V1
1Energy & Wetlands Research Group, Center for Ecological Sciences [CES]
2Centre for Sustainable Technologies (astra)
3Centre for infrastructure, Sustainable Transportation and Urban Planning [CiSTUP] Indian Institute of Science, Bangalore, Karnataka, 560 012, India
*Corresponding Author: cestvr@ces.iisc.ernet.in

Citation: Ramachandra T. V., Bharath H. A. and Sowmyashree M. V., 2014. Urban footprint of Mumbai - the commercial capital of India, Journal of Urban and Regional Analysis, VI (1): 71– 94

References

  • Aguilera, F. Valenzuela, L and Leitao, A. (2011), Landscape metrics in the analysis of urban land use patterns: A case study in a Spanish metropolitan area, Landscape and Urban Planning, 99, 226-238.
  • 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
  • Archana, P. Anand, P. Janki, A. Vikas, L. (2010). Mumbai City Report, http://startcc.iwlearn.org/doc/Doc_eng_16.pdf. Accessed  4th May 2013
  • Bharath, H. A. Bharath, S. Durgappa, D.S. and Ramachandra T. V., (2012). Landscape Dynamics through Spatial Metrics, Proceedings of India GeoSpatial Conference, Epicentre, Gurgaon, India, February 7-9.
  • Bhatta, B., (2009a). Analysis of urban growth pattern using remote sensing and GIS: a case study of Kolkata, India. International Journal of Remote Sensing, 30, 4733–4746.
  • Bhatta, B., (2009b). Modeling of urban growth boundary using geo informatics, International Journal of Digital Earth, 2, 359–381.
  • Brueckner, J. K., (2000). Urban Sprawl: Diagnosis and remedies, International Regional Science Review, 23, 160–171.
  • Census of India, 2001 (http://www.censusindia.net). Accessed 10th May 2013.
  • Census of India, 2011, (http://censusindia.gov.in/). Accessed  10th May 2013
  • Chen, S., Zeng, S., Xie, C., (2000). Remote Sensing and GIS for urban growth analysis in China. Photogrammetric Engineering and Remote Sensing, 66, 593–598.
  • 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.
  • Congalton, R. G. (1991). A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37, 35-46.
  • DeFries, R. (2008).  Terrestrial vegetation in the coupled human–earth system:  contributions of remote sensing.  Annual Review of Environment and Resources, 33, 369–390.
  • Duda, R.O. Hart, P.E. Stork, D.G. (2000), Pattern Classification, A Wiley-Interscience Publication, Second Edition, ISBN 9814-12-602-0.
  • Epstein, J. Payne, K. Kramer, E. (2002). Techniques for mapping suburban sprawl. Photogrammetric Engineering and Remote Sensing, 63, 913 – 918.
  • Galster, G. Hanson, R. Ratclfee, M. R. (2001). Wrestling sprawl to the ground: Defining and measuring an elusive concept, Housing Policy Debate, 12, 681-717.
  • Han, S. S. and He, C. X. (1999). Diminishing farmland and urban development in China: 1993–1996.  GeoJournal,   49, 257–267.
  • Herold, M. Clarke, K and 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.
  • Herold, M. Goldstein, N and Clarke, K. (2003). The spatiotemporal form of urban growth: measurment, analysis and modeling, Remote Sensing of Environment 86, 286-302.
  • Hill, J., Hostert, P., Roder, A., (2004).  Long-term observation of Mediterranean ecosystems with satellite remote sensing.  In:  Mazzoleni,  S.,  di  Pasquale,  G. Mulligan, M. di  Martino,  P.  Rego,  F.  (Eds.),  Recent  Dynamics  of  the  Mediterranean  Vegetation  and  Landscape.  John Wiley and Sons Ltd., Chichester, 33–43.
  • http://www.glcf.umd.edu/index.shtml, Accessed 3rd March 2013.
  • http://www.landcover.org/, Accessed on 22nd April 2013
  • http://edcsns17.cr.usgs.gov/NewEarthExplorer/, Accessed on 28nd April 2013
  • http://www.glovis.usgs.gov, Accessed on 2nd April 2013
  • Huang, S. Wang, S and Budd, W. (2008). Sprawl in Taipeis peri urban zone: Responses to spatial planning and implications for adapting global environment change, Landscape and Urban Planning, 90, 20-32.
  • Ji, C. Y. Lin, P. Li, X. Liu, Q. Sun, D. Wang, S. (2001). Monitoring urban expansion with remote sensing in China. International Journal of Remote Sensing, 22, 1441–1455.
  • Ji, W. Ma, J.  Twibell R. W. Underhill, K. (2006). Characterizing urban sprawl using multi-stage remote sensing images and landscape metrics, Computers, Environment and Urban Systems, 30, 861–879.
  • 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.
  • Land Use Plan (www.regionalplan-mmrda.org/N-13.pdf). Accessed 3rd March 2013.
  • Lichtenberg, E.  Ding, C.  R. (2008).  Assessing farmland protection policy in China. Land Use Policy, 25, 59–68.
  • Lillesand, T. M. and Kiefer, R. W. (2005). Remote sensing and image interpretation .New York: John Wiley and Sons.
  • Lin, G.  C.  S.  Ho, S.  P.  S.  (2003).  China’s  land  resources  and  land-use  change:  Insights from  the  1996  land  survey.  Land Use Policy, 20, 87–107.
  • Lo, C.P. Yang, X. (2002). Drivers of land-use/land-cover changes and dynamic modelling for the Atlanta, Georgia Metropolitan Area. Photogrammetr. Eng. Remote Sens.  68, 1062–1073.
  • Lucy, W. and Phillips, D. (2000a). Confronting Suburban Decline, Strategic Planning for Metropolitan Renewal, Washington, DC: Island Press
  • Marie-Helene Zerah. (2008). Splintering urbanism in Mumbai: Contrasting trends in a multi-layered society, Geoforum, 39, 1922–1932.
  • Mc Garigal, L and Marks, B. J. (1994). FRAGSTATS manual: Spatial Pattern Analysis Program for Quantifying Landscape Structure, https://ftp.fsl.orst.edu/pub/fragstats2.0. Accessed  13th March 2013
  • McGarigal, K. and Marks, B.J. (1995). FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. Technical Report. PNW-GTR-351, 122. Accessed  13th March 2013
  • Michael Pacione, (2006). City profile Mumbai, Cities, 23, 229–238.
  • Mitrakis, N. E. Topalogou, C. A. Alexandridis, T. K. Theocharis, J. B. and Zalidis, G. C. (2008). A novel self-organising neuro-fuzzy multi layered classifier for land cover classification of a VHR image. International Journal of Remote Sensing, 29, 4061−4087
  • Neelakantan Krishna Iyer, Sumati, Kulkarni and Raghavaswamy, V. (2007). Economy, population and urban sprawl a comparative study of urban agglomerations of Bangalore and Hyderabad, India using remote sensing and GIS techniques, Paper to be presented at PRIPODE workshop, 11th-13th June, Nairobi, Kenya. Available at http://www.cicred.org/Eng/Seminars/Details/Seminars/PDE2007/Papers/IYER_Neelakantan_paperNairobi2007-project.pdf. Accessed  2nd April 2013
  • Neelima, R. (2003). Understanding slums: Case Studies for the Global Report on Human Settlements. Report submitted for UN human settlements programme, available at www.ucl.ac.uk/dpuprojects/Global_Report/pdfs/Mumbai.pdf.
  • Parasuraman, S.  (2007). Uncovering the myth of urban development in Mumbai, Tata Institute of Social Sciences. Mumbai. Presented at TISS Urban Age India Workshop. Available at http://lsecities.net/media/objects/articles/uncovering-the-myth-of-urban-development
  • Peiser, R. (2001). Decomposing urban sprawl. Town Planning Review, 72, 275–298.
  • PIB. (2013). PIB - Press Information Bureau, available at http://pibmumbai.gov.in/, accessed on 14/12/2013.
  • Rajiva, Prasad, M. Singh, N. Das, K. C., Kamla Gupta, t. Bhagatt, R. B. (2009). Migration to Greater Mumbai Urban Agglomeration: A Study of Characteristics of Principal Migrants and their Social Linkages, Demography India, 38, 319-334.
  • Ramachandra T.V. Bharath A.H. and Durgappa D.S. (2012). Insights to urban dynamics through landscape spatial pattern analysis, Int. J Applied Earth Observation and Geoinformation, 18, 329-343.
  • Ramachandra T.V. Bharath A.H. and Sowmyashree M. V. (2013a). Analysis of spatial patterns of urbanisation using geoinformatics and spatial metrics, Theoretical and empirical researches in urban management, 8(4), 5-24
  • Ramachandra T.V. Bharath A.H. (2013b). Urbanisation and Sprawl in the Tier II City: Metrics, Dynamics and Modelling Using Spatio-Temporal Data, International Journal of Remote Sensing Applications, 3(2), 66-73.
  • Ramachandra T.V. Bharath A.H. and Beas Barik. (2014a), Urbanisation Pattern of Incipient Mega Region in India, Tema. Journal of Land Use, Mobility and Environment, 7(1), 83-100.
  • Ramachandra T.V. Bharath A.H., Sowmyashree M. V., 2014b. Monitoring urbanization and its implications in a mega city from space: Spatiotemporal patterns and its indicators, Journal of Environmental Management, accepted, in press, doi:10.1016/j.jenvman.2014.02.015
  • Robert C. Frohn, Yongping Hao, (2006). Landscape metric performance in analyzing two decades of deforestation in the Amazon Basin of Rondonia, Brazil, Remote Sensing of Environment.  100. 237 – 251.
  • Sudhakar Yedla, (2003).Urban Environmental Evolution: The Case of Mumbai, Environmental Evolution of Mumbai, Report prepared by Commissioned Report Prepared for Institute for Global Environmental Strategy (IGES), Japan. Available at http://www.seas.columbia.edu/earth/wtert/sofos/Urban_Environmental_Evolution_The_Case_of_Mumbai.pdf
  • Sudhira, H. S. Ramachandra, T. V.  Jagadish, K. S. (2004). Urban sprawl: metrics, dynamics and modelling using GIS. Int. J Applied Earth Observation and Geoinformation.  5, 29–39.
  • Sudhira, H.S. Ramachandra, T.V and Jagadish, K.S, (2003). Urban sprawl pattern recognition and modeling using GIS, Paper presented at Map India, January 28- 31, New Delhi. Available at: http://www.gisdevelopment.net/application/urban/sprawl/mi03142.htm.
  • Uttara. S, Nishi Bhuvandas, Vanita Aggarwal, (2012). Impacts of Urbanization on environment, International Journal of Research in Engineering and Applied Sciences, 2, 1637-1645.
  • Weng, Q. (2012). Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends. Remote Sensing of Environment.  117,  34 – 49
  • Yeh, A.G.O. and Liu, X. (2001).  Measurement  and Monitoring  of urban  sprawl  in  a Rapidly growing region using Entropy, Photogramm  Engg and Remote Sensing,  67,  83-90.
  • Yuji Hara, Kazuhiko Takeuchi, Satoru Okubo, (2005). Urbanization linked with past agricultural land use patterns in the urban fringe of a deltaic Asian mega-city: a case study in Bangkok, Landscape Ecology and Planning, 73, 16-28.
  • United Nations. (2012).World urbanization prospects. 2011 Revision. New York.

 

* 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