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Geohazard Modeling Using Remote Sensing and GIS

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Abstract

Geohazards are environmental conditions leading to widespread damage or risk to human life and property triggered by earth processes. Rapid industrial growth, urbanization, deforestation and carbon economy has resulting in climate driven geohazards. Earth observation through remote sensing coupled with ground based network of sensors have helps us monitor small changes in our environment which are helpful in predicting the vulnerability of a region to geohazards. Such technology has helped minimize the impact of the event thereby increasing the resilience of society to such hazards. GIS based information analysis and modelling of environmental parameters and earth observations have not only supported predictive analyses for securing future investments and vulnerable sections of society but also have demonstrated their utility in assessing the damage and the reconstruction of the region. This chapter discusses the role of Remote Sensing and GIS in modelling geohazards and their impact through examples from different parts of the planet, summarizing the opportunities and challenges for the future.

Keywords

Geohazards Remote sensing Geographical Information Systems Modeling 

References

  1. Bostrum N (2002) Existential risks—analyzing human extinction scenarios and related hazards. J Evol Technol 9. http://www.jetpress.org/volume9/risks.html
  2. Cakir Z, Chabalier JB, Armijo R, Meyer B, Barka A, Peltzer G (2003) Coseismic and early post-seismic slip associated with the 1999 Izmit earthquake (Turkey), from SAR interferometry and tectonic field observations. Geophys J Int 155(1):93–110CrossRefGoogle Scholar
  3. Felpeto A, Martí J, Ortiz R (2007) Automatic GIS-based system for volcanic hazard assessment. J Volcanol Geotherm Res 166:106–116CrossRefGoogle Scholar
  4. Gornitz V (1991) Global coastal hazards from future sea level rise. Glob Planet Change 89(4):379–398CrossRefGoogle Scholar
  5. Hempsell CM (2004) The investigation of natural global catastrophes. J British Interplanetary Soc 57:2–13Google Scholar
  6. Kundu SN, Sahoo AK, Mohapatra S, Singh RP (2001) Change analysis using IRS-P4 OCM data after the Orissa super cyclone. Int J Remote Sens 22(7):1383–1389CrossRefGoogle Scholar
  7. Mohr T (2010) The global satellite observing system: a success story. WMO Bull 59(1):7–11Google Scholar
  8. Neri M, Le Cozannet G, Thierry P, Bignami C, Ruch J (2013) A method for multi-hazard mapping in poorly known volcanic areas: an example from Kanlaon (Philippines). Nat Hazards Earth Syst Sci 13:1929–1943CrossRefGoogle Scholar
  9. Pieri D, Abrams M (2004) ASTER watches the world’s volcanoes: a new paradigm for volcanological observations from orbit. J Volcanol Geotherm Res 135(1–2):13–28CrossRefGoogle Scholar
  10. Siu N, Lam N (2008) Methodologies for mapping land cover/land use and its change. In Liang S (ed) Advances in land remote sensing. Springer Science, pp 341–367Google Scholar
  11. Smil V (2008) Global catastrophes and trends: the next 50 years. MIT PressGoogle Scholar
  12. Stevens NF, Manville V, Heron DW (2003) The sensitivity of a volcanic flow model to digital elevation model accuracy: experiments with digitized map contours and interferometric SAR at Ruapehu and Taranaki volcanoes, New Zealand. J Volcanol Geotherm Res 119(1–4):89–105CrossRefGoogle Scholar
  13. Wong I (2014) How big, how bad, how often: are extreme events accounted for in modern seismic hazard analyses? Nat Hazards 72(3):1299–1309CrossRefGoogle Scholar
  14. Singhroy V (1995) SAR integrated techniques for geohazard assessment, natural hazards: monitoring and assessment using remote sensing techniques. Adv Space Res 33(3):205–290Google Scholar
  15. Stein S, Stein J (2014) Playing against nature: integrating science and economics to mitigate natural hazards in an uncertain world. Wiley Works, Wiley, OxfordCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Singapore 2017

Authors and Affiliations

  1. 1.Department of GeographyNational University of SingaporeSingaporeSingapore

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