Assessment of Climate Change-Induced Vulnerability to Floods in Hyderabad, India, Using Remote Sensing Data

Conference paper
Part of the Local Sustainability book series (LOCAL, volume 1)

Abstract

The frequency and intensity of extreme rainfall events over Hyderabad, India, are often the cause of devastating floods in its urban and peri-urban areas. This paper introduces a quantitative approach to assessing urban vulnerability to floods in Hyderabad, identifying informal settlements via high resolution satellite photography and through the development of a flood model for urban and peri-urban areas.

Keywords

Flood modelling India Informal settlements Lacunarity 

References

  1. Amorim L, Barros Filho MN, Cruz D (2009) Analysing Recife’s urban fragments. In: Koch D, Marcus L, Steen J (eds) Proceedings of the 7th international space syntax symposium. KTH, StockholmGoogle Scholar
  2. Barros Filho M, Sobreira F (2008) Accuracy of lacunarity algorithms in texture classification of high spatial resolution images from urban areas. Int Arch Photogramm Remote Sens Spat Info Sci 37:417–  422Google Scholar
  3. Census of India (2001) Registrar General and Census CommissionerGoogle Scholar
  4. Gefen Y, Meir Y, Aharony A (1983) Geometric implementation of hypercubic lattices with noninteger dimensionality by use of low lacunarity fractal lattices. Phys Rev Lett 50:145–148CrossRefGoogle Scholar
  5. International Federation of Red Cross and Red Crescent Societies (IFRC) (2000) Flash floods submerge communities in Hyderabad. http://www.reliefweb.int. Cited 19 May 2010
  6. Jain S (2007) Use of IKONOS satellite data to identify informal settlements in Dehradun, India. Int J Remote Sens 28(15):3227–3233CrossRefGoogle Scholar
  7. Jarvis A, Reuter HI, Nelson A, Guevara E (2008) Hole-filled SRTM for the globe version 4, available from the CGIAR-CSI SRTM 90m Database. http://srtm.csi.cgiar.org. Cited 20 May 2010
  8. Jenson SK, Domingue JO (1988) Extracting topographic structure from digital elevation data for geographic information system analysis. Photogramm Eng Remote Sens 54(11):1593–1600Google Scholar
  9. Lüdeke MKB, Budde M (2009) Evaluating climate change scenarios: from AOGCMs to Hyderabad. Project report for: Hyderabad as a megacity of tomorrow: climate and energy in a complex transition towards sustainable Hyderabad – mitigation and adaptation strategies by changing institutions, governance structures, lifestyles and consumption patterns. Federal Ministry of Education and Research (BMBF), Potsdam Institute for Climate Impact Research, PotsdamGoogle Scholar
  10. Malhi Y, Román-Cuesta RM (2008) Analysis of lacunarity and scales of spatial homogeneity in IKONOS images of Amazonian tropical forest canopies. Remote Sens Environ 112:2074–2087CrossRefGoogle Scholar
  11. Municipal Corporation Hyderabad (MCH) (2005) Draft city development plan. Hyderabad, India. http://www.ghmc.gov.in/cdp/default.asp. Cited 10 Oct 2008
  12. Nakićenović N, Swart R (eds) (2000) Special report on emissions scenarios: a special report of working group III of the intergovernmental panel on climate change. Cambridge University Press, CambridgeGoogle Scholar
  13. Nicholls RJ, Tol RSJ (2006) Impacts and responses to sea-level rise: a global analysis of the SRES scenarios over the twenty-first century. Philos Trans R Soc A 364(1841):1073–1095CrossRefGoogle Scholar
  14. Reckien D, Hofmann S, Kit O (2009) Qualitative climate change impact networks for Hyderabad/India. Project report for: Hyderabad as a megacity of tomorrow: climate and energy in a complex transition towards sustainable Hyderabad – mitigation and adaptation strategies by changing institutions, governance structures, lifestyles and consumption patterns. Federal Ministry of Education and Research (BMBF), Potsdam Institute for Climate Impact Research, PotsdamGoogle Scholar
  15. Taubenböck H, Pengler I, Schwaiger B, Cypra S, Hiete M, Roth A (2007) A multi-scale urban analysis of the Hyderabad metropolitan area using remote sensing and GIS. Urban Remote Sensing Joint Event, Paris, FranceGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Oleksandr Kit
    • 1
  • Matthias Lüdeke
    • 1
  • Diana Reckien
    • 1
  1. 1.PIK-Potsdam-Institut für KlimafolgenforschungPotsdamGermany

Personalised recommendations