Understanding heterogeneity in metropolitan india: The added value of remote sensing data for analyzing sub-standard residential areas

International Journal of Applied Earth Observation and Geoinformation

Volumn 12, Issue 5, 2010, Pages 359-374

  Baud, Isa ^a   Kuffer, Monika ^b   Pfeffer, Karin ^a   Sliuzas, Richard ^b   Karuppannan, Sadasivam ^c  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b UNIVERSITY OF TWENTE   (Netherlands)

^c UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

Author keywords

Remote sensing; Sub standard residential areas; Urban deprivations; Visual image interpretation

Indexed keywords

EID: 79957637804     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2010.04.008     Document Type: Article

References (38)

1. Barnsley, M.J., Barr, S.L., 1996. Inferring urban land use from satellite sensor image using kernel-based spatial reclassification. Photogrammetric Engineering & Remote Sensing 62, 949-958.
2. Barredo, J.I., Demicheli, L., 2003. Urban sustainability in developing countries' megacities: modelling and predicting future urban growth in Lagos. Cities 20, 297-310.
3. Batra, B.J., 2005. Entitlement to services and amenities in JJ clusters, JJ relocation colonies and other non-planned settlements in Delhi: An overview. In: Sudarshan, R., Pande, S. (Eds.), Ensuring Public Accountability through Community Action: A Case Study in East Delhi. Institute of Social Studies Trust, New Delhi, pp. 54-76.
4. Baud, I.S.A., Pfeffer, K., Sridharan, N., Nainan, N., 2009. Matching deprivation mapping to urban governance in three Indian mega-cities. Habitat International 33, 365-377.
5. Baud, I.S.A., Sridharan, N., Pfeffer, K., 2008. Mapping urban poverty for local governance in an Indian mega-city: the case of Delhi Urban studies 45, 1385-1412.
6. Beall, J., 2002. Living in the present, investing in the future. Household security among the poor. In: Rakodi, C., Lloyd-Jones, T. (Eds.), Urban Livelihoods. A People-Centred Approach to Reducing Poverty. Earthscan, London, pp. 71-87.
7. Blaschke, T., 2010. Object based image analysis. ISPRS Journal of Photogrammetry and Remote Sensing 65, 2-16.
8. Brussel, M.A., Belal, W.E., Rahman, M.M., 2003. Extracting urban road information from IKONOS high resolution imagery. In: Jürgens, C. (Ed.), Proceedings of the 2003 ISPRS Commission XXXIV-7/W9 Conference. Regensburg, Germany. Census of India, 2001. http://www.censusindia.gov.in.
9. Chatterji-Mitra, B., 1990. Land supply for low-income housing in Delhi. In: Baróss, R., van der Linden, J. (Eds.), The Transformation of Land Supply Systems in Third World Cities. Avebury, Aldershot, pp. 193-224.
10. Donnay, J.-P., Barnsley, M.J., Longley, P., 2001. Remote sensing and urban analysis. In: Donnay, J.-P., Barnsley, M.J., Longley, P. (Eds.), Remote Sensing and Urban Analysis. Taylor & Francis, London, pp. 1-18.
11. Herold, M., Goldstein, N.C., Clarke, K.C., 2003. The spatiotemporal form of urban growth: measurement, analysis and modeling. Remote Sensing of Environment 86, 286-302.
12. Hung, M.C., Ridd, M., 2002. A subpixel classifier for urban land-cover mapping based on amaximum-likelihood approach and expert system rules. Photogrammetric Engineering & Remote Sensing 68, 1173-1180.
13. Jensen, J.R., Cowen, C., 1999. Remote sensing of urban/suburban infrastructure and socio-economic attributes. Photogrammetric Engineering & Remote Sensing 65, 611-622.
14. Lemma, T., Sliuzas, R.V., Kuffer, M., 2006. A participatory approach to monitoring slum conditions: an example from Ethiopia. Participatory Learning and Action 54, 58-66.
15. Martinez-Martin, J., 2005. Monitoring intra-urban inequalities with GIS-based indicators in Rosario, Argentina. Ph.D. Thesis. University of Utrecht, Utrecht.
16. McGarigal, K., Cushman, S.A., Neel, M.C., Ene, E., 2002. FRAGSTATS: Spatial Pattern Analysis Program for Categorical Maps. Computer Software Program Produced by the Authors at the University of Massachusetts, Amherst. www.umass.edu/landeco/research/fragstats/fragstats.html.
17. Mehra, A.K., 2005. Urban villages of Delhi. In: Hust, E., Mann, M. (Eds.), Urbanization and Governance in India. Manohar, New Delhi, pp. 279-310.
18. Moser, C.O.N., 1998. The asset vulnerability framework: reassessing urban poverty reduction strategies. World Development 26, 1-19.
19. Moser, C.O.N. (Ed.), 2007. Reducing Global Poverty: The Case for Asset Accumulation. Brookings Institution Press, Washington. Netzband, M., Stafanov, W.L., Redman, C. (Eds.), 2007. Applied Remote Sensing for Urban Planning, Governance and Sustainability. Springer, Berlin.
20. Niebergall, S., Loew, A., Mauser, W., 2008. Vulnerability in Delhi, India: identification and integrative assessment of informal settlements using remote sensing and GIS. In: Buyuksalih, G., Sliuzas, R.V., Lohmann, P. (Eds.), Joint EARSeL and GISDECO 8 Workshop: Integrating GIS and Remote Sensing in a Dynamic World. Istanbul.
21. Oude Elberink, S., Vosselman, G., 2006.3Dmodelling of topographic objects by fusing 2D maps and lidar data. In: ISPRS (Ed.), Proceedings of the ISPRS TC-IV International Symposium on Geospatial Databases for Sustainable Development. Goa, India.
22. Peng, J., Wang, Y., Zhang, Y., Wu, J., Li, W., Li, Y., 2010. Evaluating the effectiveness of landscape metrics in quantifying spatial patterns. Ecological Indicators 10, 217-223.
23. Rakodi, C., Lloyd-Jones, T., 2002. Urban Livelihoods. A People-centred Approach to Reducing Poverty, 1st ed. Earthscan, London.
24. Ridd, M., 1995. Exploring a V-I-S (Vegetation-Imperious Surface-Soil) model for urban ecosystem analysis through remote sensing: comparative anatomy for cities. International Journal of Remote Sensing 16, 2165-2185.
25. Risbud, N., 2002. Policies for tenure security in Delhi. In: Durand-Lasserve, A., Royston, R. (Eds.), Holding their Ground-Secure Land Tenure for the Urban Poor in Developing Countries. Earthscan, London, pp. 59-74.
26. Satterthwaite, D., 2004. The under-estimation of urban poverty in low- and middleincome countries London. Working Paper Series on Poverty Reduction, 14, IIED, London.
27. Schättler, B., Fritz, T., Breit, H., Adam, N., Balss, U., Lachaise, M., Eineder, M., Niedermeier, A., 2008. TerraSAR-X SAR data processing results form commissioning and early operational phase. In: Jürgens, C. (Ed.), Remote Sensing: New Challenges of High Resolution. Bochum.
28. Sen, S., Hobson, J., Joshi, P., 2003. The Pune Slum Census: creating a socio-economic and spatial information base on a GIS for integrated and inclusive city development. Habitat International 27, 595-611.
29. Sivam, A., 2003. Housing Supply in Delhi Cities 20, 135-141.
30. Sivam, A., Evans, D., 2001. An approach to improve flow of serviced land in formal housing market in LDCs. Third World Planning Review 23, 367-386.
31. Sliuzas, R.V., 2004. Managing informal settlements: a study using geoinformation in Dar es Salaam, Tanzania. Ph.D. Thesis. Utrecht University, Enschede.
32. Sliuzas, R.V., Kuffer, M., Masser, F.I., 2010. The spatial and temporal nature of urban objects. In: Jurgens, C., Rashed, T. (Eds.), Remote Sensing of Urban and Suburban Areas, Series: Remote Sensing and Digital Image Processing Springer Geosciences 10. Springer, The Netherlands, chapter 5.
33. Small, C., 2003. High spatial resolution spectral mixture analysis of urban reflectance. Remote Sensing of Environment 88, 170-186.
34. Steinle, E., Baehr, H.P., 2002. Detectability of urban changes from airborne laserscanning data. In: Navalgund, R.R., Nayak, S.R., Nagaraja, R., Ravindran, S. (Eds.), ISPRS Commission VII Symposium. Hyderabad, India.
35. Sudhira, H.S., Ramachandra, T.V., Jagadish, K.S., 2004. Urban sprawl: metrics, dynamics and modelling using GIS. International Journal of Applied Earth Observation and Geoinformation 5, 29-39.
36. Thomas, N., Hendrix, C., Congalton, R.G.A., 2003. Comparison of urban mapping methods using high-resolution digital imagery. Photogrammetric Engineering & Remote Sensing 69, 963-972.
37. UN Habitat, 2006. State of the World's Cities 2006/7, Earthscan. New York.
38. Weeks J., Hill, A., Stow, D., Getis, A., Fugate, D. 2007. Can we spot a neighborhood from the air? Defining neighborhood structure in Accra, Ghana. GeoJournal 69, 9-22.