The physical face of slums: a structural comparison of slums in Mumbai, India, based on remotely sensed data

[1]  Hannes Taubenböck,et al.  TanDEM-X mission—new perspectives for the inventory and monitoring of global settlement patterns , 2012 .

[2]  Oleksandr Kit,et al.  Texture-based identification of urban slums in Hyderabad, India using remote sensing data , 2012 .

[3]  Alfred Stein,et al.  An ontology of slums for image-based classification , 2012, Comput. Environ. Urban Syst..

[4]  T. Esch,et al.  Monitoring urbanization in mega cities from space , 2012 .

[5]  Hannes Taubenböck,et al.  Performance Evaluation for 3-D City Model Generation of Six Different DSMs From Air- and Spaceborne Sensors , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[6]  Thomas Esch,et al.  Object-based image information fusion using multisensor earth observation data over urban areas , 2011 .

[7]  M. Kuffer,et al.  Urban morphology of unplanned settlements: the use of spatial metrics in VHR remotely sensed images , 2011 .

[8]  Hannes Taubenböck,et al.  Quantification of urban structure on building block level utilizing multisensoral remote sensing data , 2010, Remote Sensing.

[9]  Monika Kuffer,et al.  Understanding heterogeneity in metropolitan India: The added value of remote sensing data for analyzing sub-standard residential areas , 2010, Int. J. Appl. Earth Obs. Geoinformation.

[10]  Ashley William Gunter,et al.  Getting it for free: Using Google earth™ and IL WIS to map squatter settlements in Johannesburg , 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

[11]  Nazrul Islam,et al.  International Journal of Health Geographics Open Access the 2005 Census and Mapping of Slums in Bangladesh: Design, Select Results and Application , 2022 .

[12]  A. Roth,et al.  Integrating Remote Sensing and Social Science - The correlation of urban morphology with socioeconomic parameters , 2009 .

[13]  Maik Netzband,et al.  Physical characterisation of deprivation in cities: How can remote sensing help to profile poverty (slum dwellers) in the megacity of Delhi/India?) , 2009, 2009 Joint Urban Remote Sensing Event.

[14]  Hannes Taubenböck,et al.  Urbanization in India - Spatiotemporal analysis using remote sensing data , 2009, Comput. Environ. Urban Syst..

[15]  Alfred Stein,et al.  Urban social vulnerability assessment with physical proxies and spatial metrics derived from air- and spaceborne imagery and GIS data , 2009 .

[16]  Wolfram Mauser,et al.  Integrative Assessment of Informal Settlements Using VHR Remote Sensing Data—The Delhi Case Study , 2008, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[17]  Paolo Gamba,et al.  Spatial Indexes for the Extraction of Formal and Informal Human Settlements From High-Resolution SAR Images , 2008, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[18]  Monika Kuffer,et al.  Analysing the spatial heterogeneity of poverty using remote sensing : typology of poverty areas using selected RS based indicators , 2008 .

[19]  R. Schneider-Sliwa,et al.  Recovering slums : determinants of poverty and upward social mobility in urban slums : case studies from India , 2008 .

[20]  J. Barros,et al.  Ucl Centre for Advanced Spatial Analysis City of Slums: Self- Organisation across Scales , 2022 .

[21]  P. Hofmann,et al.  Detecting informal settlements from QuickBird data in Rio de Janeiro using an object based approach , 2008 .

[22]  D. Stow,et al.  Object‐based classification of residential land use within Accra, Ghana based on QuickBird satellite data , 2007, International journal of remote sensing.

[23]  John R. Weeks,et al.  Can we spot a neighborhood from the air? Defining neighborhood structure in Accra, Ghana , 2007, GeoJournal.

[24]  S. Jain,et al.  Use of IKONOS satellite data to identify informal settlements in Dehradun, India , 2007 .

[25]  Yun Zhang,et al.  A semi‐automated approach for extracting buildings from QuickBird imagery applied to informal settlement mapping , 2007 .

[26]  J. Kamini,et al.  Spatio-temporal analysis of land use in urban mumbai -using multi-sensor satellite data and gis techniques , 2006 .

[27]  M. Barros Filho,et al.  Assessing texture pattern in slum across scales: an unsupervised approach , 2005 .

[28]  P. Pellikka CHANGE DETECTION OF INFORMAL SETTLEMENTS USING MULTI-TEMPORAL AERIAL PHOTOGRAPHS - THE CASE OF VOI, SE-KENYA , 2004 .

[29]  K. Stanilov,et al.  Suburban Form: An International Perspective , 2003 .

[30]  Pratima Joshi,et al.  Experiences with surveying and mapping Pune and Sangli slums on a geographical information system (GIS) , 2002 .

[31]  Heinz Rüther,et al.  Application of snakes and dynamic programming optimisation technique in modeling of buildings in informal settlement areas , 2002 .

[32]  W. Mitullah,et al.  Rental Assessment in Nairobi Slums. Report to United Nations Human Settlements Programme (UN-Habitat). , 2001 .

[33]  M. Barke,et al.  A review of slum housing policies in Mumbai 1 the unintended city. (S. P. Modi, quoted by Da Cunh , 1998 .