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Remote sensing contributing to assess earthquake risk: from a literature review towards a roadmap

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Abstract

Remote sensing data and methods are widely deployed in order to contribute to the assessment of numerous components of earthquake risk. While for earthquake hazard-related investigations, the use of remotely sensed data is an established methodological element with a long research tradition, earthquake vulnerability–centred assessments incorporating remote sensing data are increasing primarily in recent years. This goes along with a changing perspective of the scientific community which considers the assessment of vulnerability and its constituent elements as a pivotal part of a comprehensive risk analysis. Thereby, the availability of new sensors systems enables an appreciable share of remote sensing first. In this manner, a survey of the interdisciplinary conceptual literature dealing with the scientific perception of risk, hazard and vulnerability reveals the demand for a comprehensive description of earthquake hazards as well as an assessment of the present and future conditions of the elements exposed. A review of earthquake-related remote sensing literature, realized both in a qualitative and quantitative manner, shows the already existing and published manifold capabilities of remote sensing contributing to assess earthquake risk. These include earthquake hazard-related analysis such as detection and measurement of lineaments and surface deformations in pre- and post-event applications. Furthermore, pre-event seismic vulnerability–centred assessment of the built and natural environment and damage assessments for post-event applications are presented. Based on the review and the discussion of scientific trends and current research projects, first steps towards a roadmap for remote sensing are drawn, explicitly taking scientific, technical, multi- and transdisciplinary as well as political perspectives into account, which is intended to open possible future research activities.

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References

  • Adams JB, Huyck KC, Mansouri B, Eguchi TR, Shinozuka M (2004) Application of high-resolution optical satellite imagery for post-earthquake damage assessment: the 2003 Boumerdes (Algeria) and Bam (Iran) earthquakes. Research progress and accomplishments: 2003–2004, Multidisciplinary Center for Earthquake Engineering Research (MCEER), pp 173–186

  • ADB (2011) Asian development bank. Disaster risk management. Available at http://www.adb.org/disaster/. Accessed 17 Oct 2011

  • Adger WN (2006) Vulnerability. Global Environ Change 16:268–281

    Article  Google Scholar 

  • Adger WN, Kelly PM, Ninh HN (2001) Living with environmental change. Social vulnerability, adaption and resilience in Vietnam. Research Global Environmental Change. Routledge, London

    Google Scholar 

  • Adger WN, Hughes TP, Folke C, Carpenter SR, Rockstroem J (2005) Social-ecological resilience to coastal disasters. Science 309:1036–1039

    Article  Google Scholar 

  • Alcantara-Ayala I (2002) Geomorphology, natural hazards, vulnerability and prevention of natural disasters in developing countries. Geomorphology 47:107–124

    Article  Google Scholar 

  • Aldrighi M, Dell’Acqua F (2009) Mode-based method for matching of pre- and postevent remotely sensed images. IEEE Geosci Remote Sens Lett 6(2):317–321

    Article  Google Scholar 

  • Alexander DE (2002) Principles of emergency planning and management. Terra Publishing, Harpenden

    Google Scholar 

  • Alwang J, Siegel PB, Jorgensen SL (2001) Vulnerability: a view from different disciplines. Social protection discussion paper series No. 0115. Social Protection Unit, Human Development Network, The World Bank, Washington DC

  • Arellano-Baeza AA, Zverev A, Malinnikov V (2006) Study of the structure changes caused by earthquakes in South America applying the lineament analysis to the Aster (Terra) satellite data. Adv Space Res 37(4):690–697

    Google Scholar 

  • Aubrecht C, Özceylan D, Steinnocher K, Freire S (2012) Multi-level geospatial modeling of human exposure patterns and vulnerability indicators. In: Taubenböck H, Post J, Strunz G (eds) Remote sensing contributing to mapping earthquake vulnerability and effects. Special Issue in Natural Hazards (to be published)

  • Avouac JP, Ayoub F, Leprince S, Konca O, Helmberger DV (2006) The 2005, Mw 7.6 Kashmir earthquake: sub-pixel correlation of ASTER images and seismic waveforms analysis. Earth Planet Sci Lett 249:514–528

    Article  Google Scholar 

  • Aydöner C, Maktav D (2009) The role of the integration of remote sensing and GIS in land use/land cover analysis after an earthquake. Int J Remote Sens 30(7):1697–1717

    Article  Google Scholar 

  • Ayoub F, Leprince S, Avouac JP (2009) Co-registration and correlation of aerial photographs for ground deformation measurements. ISPRS J Photogram Remote Sens 64:551–560

    Article  Google Scholar 

  • Balz T, Liao M (2010) Building-damage detection using post-seismic high-resolution SAR satellite data. Int J Remote Sens 31(13):3369–3391

    Article  Google Scholar 

  • Bayuaji L, Sumantyo JTS, Kuze H (2010) ALOS PALSAR D-InSAR for land subsidence mapping in Jakarta, Indonesia. Can J Remote Sens 36:1–8

    Article  Google Scholar 

  • Begg JG, Mouslpoulou V (2007) Rangitaiki plains: another veil is lifted: New lidar data from Bay of Plenty, New Zealand. Geological Society of New Zealand Miscellaneous Publications 123A, New Zealand

  • Bendea H, Boccardo P, Dequal S, Giulio Tonolo F, Marenchino D, Piras M (2008) Low cost UAV for post-disaster assessment. In: Proceedings of the XXI congress of the international society for photogrammetry and remote sensing, Beijing (China), 3–11 July 2008

  • Benson C, Twigg J, Myers M (2001) NGO initiatives in risk reduction: an overview. Disasters 25(3):199–215

    Article  Google Scholar 

  • Berger M, Aschbacher J (2012) Preface: the sentinel missions-new opportunities for science. Remote Sens Environ 120:1–2

    Article  Google Scholar 

  • Bilham R (2009) The seismic future of cities. Bull Earthq Eng 7:839–887

    Article  Google Scholar 

  • Birkmann J (2006a) Indicators and criteria for measuring vulnerability: theoretical bases and requirements. In: Birkmann J (ed) Measuring vulnerability to natural hazards. United Nations University Press, New York, pp 55–77

    Google Scholar 

  • Birkmann J (2006b) Measuring vulnerability to promote disaster-resilient societies: conceptual frameworks and definitions. In: Birkmann J (ed) Measuring vulnerability to natural hazards. United Nations University Press, New York, pp 9–54

    Google Scholar 

  • Birkmann J (2007) Risk and vulnerability indicators at different scales: applicability, usefulness and policy implications. Environ Hazards 7(1):20–31

    Article  Google Scholar 

  • Birkmann J, Krings S, Vollmer M, Wolfertz J, Welle T, Kühling W, Meisel K, Wurm M, Taubenböck H, Gähler M, Zwenzner H, Roth A, Voigt S, Dech S (2011) Indikatoren zur Abschätzung von Vulnerabilität und Bewältigungspotentialen am Beispiel von wasserbezogenen Naturgefahren in urbanen Räumen. Forschung im Bevölkerungsschutz, vol 13. Bonn

  • Blaikie P, Cannon T, Davis I, Wisner B (1994) At risk: natural hazards, peoples vulnerability and disasters. Routledge, London

    Google Scholar 

  • Blaschke T (2010) Object based image analysis for remote sensing. ISPRS J Photogram Remote Sens 65:2–16

    Article  Google Scholar 

  • Blaschke T, Hay GJ, Weng Q, Resch B (2011) Collective sensing: integrating geospatial technologies to understand urban systems—an overview. Remote Sens 3(8):1743–1776

    Article  Google Scholar 

  • Bogardi J, Birkmann J (2004) Vulnerability assessment: the first step towards sustainable risk reduction. In: Malzahn D, Plapp T (eds) Disaster and society—from hazard assessment to risk reduction. Logos, Berlin, pp 72–82

    Google Scholar 

  • Bogardi JJ, Villagrán De Léon JC, Birkmann J, Renaud F, Sakulski D, Chen X, Affeltranger B, Mensa A, Kaplan M (2005) Vulnerability in the context of climate change. Human security and climate change, an international workshop holmen fjord hotel, Asker, near Oslo, 21–23 June 2005, p 14

  • Bohle H-G (2001) Vulnerability and criticality perspectives from social geography. IHDP Update 2/2001. Newslett Int Human Dimen Program Global Environ Change 2:1–7

    Google Scholar 

  • Bohle H-G, Downing TE, Watts MJ (1994) Climate change and social vulnerability. Towards a sociology and geography of food insecurity. Global Environ Change 4(1):37–48

    Article  Google Scholar 

  • Bollin C (2003) Community-based disaster risk approach. Experience gained in Central America. GTZ—Deutsche Gesellschaft für technische Zusammenarbeit, Eschborn

  • Bommer JJ, Rodriguez CE (2002) Earthquake-induced landslides in Central America. Eng Geol 63:189–220

    Article  Google Scholar 

  • Borfecchia F, Pollino M, De Cecco L, Lugari A, Martini S, La Porta L, Ristoratore E, Pascale C (2010) Active and passive remote sensing for supporting the evaluation of the urban seismic vulnerability. Italian J Remote Sens 42(3):129–141

    Article  Google Scholar 

  • Borzi B, Dell’Acqua F, Faravelli M, Gamba P, Lisini G, Onida M, Polli D (2011) Vulnerability study on a large industrial area using satellite remotely sensed images. Bull Earthq Eng 9:675–690

    Article  Google Scholar 

  • Briuglio L (1995) Methodological and practical considerations for constructing socio-economic indicators to evaluate disaster risk. In: Programme on information and indicators for risk management. Institute of Environmental Studies, University of Columbia. IADB-ECLAC-IDEA, Manizalez, Colombia

  • Brooks N (2003) Vulnerability, risk and adaption: a conceptual framework. Tyndall Centre for Climate Change Research, working paper 38(16)

  • Brunner D, Lemoine G, Bruzzone L (2010) Earthquake damage assessment of buildings using VHR optical and SAR imagery. IEEE Trans Geosci Remote Sens 48:2403–2420

    Article  Google Scholar 

  • Burby RJ (1991) Sharing environmental risks: how to control governments’ losses in natural disasters. Westview Press, Boulder

    Google Scholar 

  • Burton I, Kates RW, White GF (1993) The environment as hazard, 2nd edn. Guildford Press, New York

    Google Scholar 

  • Calvi GM (1999) A displacement-based approach for vulnerability evaluation of classes of buildings. J Earthquake Eng 3(3):411–438

    Google Scholar 

  • Calvi GM, Pinho R, Magenes G, Bommer JJ, Restrepo-Velez LF, Crowley H (2006) Development of seismic vulnerability assessment methodologies over the past 30 years. ISET J Earthq Technol 43(3):75–104

    Google Scholar 

  • Cannon T (1993) A hazard need not a disaster make: vulnerability and the causes of ‘natural’ disasters. In: Merriman PA, Browitt CWA (eds) Natural disasters: protecting vulnerable communities. Thomas Telford, London, pp 92–105

    Google Scholar 

  • Cannon T (1994) Vulnerability analysis and the explanation of “natural disasters”. In: Varley A (ed) Disasters, development and environment. Wiley, Chichester, pp 13–29

    Google Scholar 

  • Cannon T, Twigg J, Rowell J (2003) Social vulnerability. Sustainable livelihoods and disasters. Report to DFID Conflict and Humanitarian Assistance Department (CHAD) and Sustainable Livelihood Support

  • Cardona OD (1999) Environmental management and disaster prevention: two related topics—a holistic risk assessment and management approach. In: Ingleton J (ed) Natural disaster management. Tudor Rose, IDNDR, London

    Google Scholar 

  • Cardona OD (2004) The need for rethinking the concepts of vulnerability and risk from a holistic perspective: a necessary review and criticism for effective risk management. In: Bankoff G, Frerks G, Hilhorst D (eds) Mapping vulnerability. Disasters, development & people. Earthscan, London, pp 37–51

    Google Scholar 

  • Cardona OD, Hurtado JE (2000) Holistic seismic risk estimation of a metropolitan center. In: Proceedings of 12th world conference of earthquake engineering, Auckland, New Zealand

  • Caron C, Roche S, Goyer D, Jaton A (2008) GIScience journals ranking and evaluation: an international delphi study. Trans GIS 12(3):293–321

    Article  Google Scholar 

  • Carreno M-L, Cardona OD, Barbat AH (2007) Urban seismic risk evaluation: a holistic approach. Nat Hazards 40:137–172

    Article  Google Scholar 

  • Carreno M-L, Cardona OD, Marulanda M-C, Barbat AH (2009a) Holistic urban seismic risk evaluation of megacities: application and robustness. In: Mendez-Victor LA, Oliveira CS, Azevedo J, Ribeiro A (eds) The 1755 Lisbon earthquake: revisited. Springer, Berlin, pp 167–183

    Chapter  Google Scholar 

  • Carreno M-L, Cardona OD, Suarez DC, Barbat AH (2009) Holistic Evaluation of risk in the framework of the urban sustainability. In: II Congreso Internacional de Medida y Modelización de la Sostenibilidad (ICSMM 09), Barcelona, Spain

  • Cartwright S (2005) National civil defence emergency management plan order 2005. Published under the authority of the New Zealand Government, Wellington, New Zealand

  • Catita C, Feigl KL, Catalao J, Miranda JM, Victor LM (2005) InSAR time series analysis of the 9 July 1998 Azores earthquake. Int J Remote Sens 26(13):2715–2729

    Article  Google Scholar 

  • CEOS Committee on Earth Observation Satellites (2012) Available at http://www.ceos.org/images/PDFs/CEOS08Brochure.pdf. Accessed 12 Jul 2012

  • Chang L, Tang Z (2010) Using remote sensing technology to assess land—use changes after the Northridge Earthquake. Disast Adv 3:5–10

    Google Scholar 

  • Chapman D (2001) Natural hazards, vol 2. University Press, Oxford

    Google Scholar 

  • Chen K (2002) An approach to linking remotely sensed data and areal census data. Int J Remote Sens 23:37–48

    Article  Google Scholar 

  • Chen SY, Liu PX, Liu LQ, Ma J, Chen GQ, Hu XY (2011) Comparative analysis between land surface temperatures obtained by field measurement and satellite remote sensing and its implication in earthquake research. Chin J Geophys 54:747–755

    Article  Google Scholar 

  • Chini M, Bignami C, Stramondo S, Pierdicca N (2008) Uplift and subsidence due to the 26 December 2004 Indonesian earthquake detected by SAR data. Int J Remote Sens 29:3891–3910

    Article  Google Scholar 

  • Chini M, Pierdicca N, Emery WJ (2009) Exploiting SAR and VHR optical images to quantify damage caused by the 2003 Bam Earthquake. IEEE Trans Geosci Remote Sens 47(1):145–152

    Article  Google Scholar 

  • Chini M, Atzori S, Trasatti E, Bignami C, Kyriakopoulos C, Tolomei C, Stramondo S (2010) The May 12, 2008, (Mw 7.9) Sichuan Earthquake (China): multiframe ALOS-PALSAR DInSAR analysis of coseismic deformation. IEEE Geosci Remote Sens Lett 7(2):266–270

    Article  Google Scholar 

  • Chiroiu L, Adams B, Saito K (2006) Advanced techniques in modeling, response and recovery. In: Oliveira CS, Roca A, Goula X (eds) Assessing and managing earthquake risk. Springer, Dordrecht, pp 427–448

    Chapter  Google Scholar 

  • Choudhury S, Dasgupta S, Saraf AK, Panda S (2006) Remote sensing observations of pre-earthquake thermal anomalies in Iran. Int J Remote Sens 27:4381–4396

    Article  Google Scholar 

  • Coburn AW, Spence RJS (1992) Earthquake protection. Wiley, Chichester

    Google Scholar 

  • Coburn AW, Spence RJS, Pomonis A (1994) Training manual: vulnerability and risk assessment, 2nd edn. UNDP Disaster management training programme, Cambridge Architectural Research Limited, The Oast House, Malting Lane, Cambridge, UK

  • Corbane C, Carrion D, Lemoine G, Broglia M (2011) Comparison of damage assessment maps derived from very high spatial resolution satellite and aerial imagery produced for the Haiti 2010 earthquake. Earthq Spectra 27:199–218

    Article  Google Scholar 

  • Corell R, Cramer W, Schellnhuber HJ (2001) Methods and models of vulnerability research, analysis and assessment. In: Symposium at Potsdam sustainability days, Potsdam

  • Cornell AC (1968) Engineering seismic risk analysis. Bull Seismol Soc Am 58(5):1583–1606

    Google Scholar 

  • Correira F, Santos M, Rodrigues R (1987) Engineering risk in regional drought studies. In: Duckstein L, Plate EJ (eds) Engineering reliability and risk in water resources. Nijhoff M, Dordrecht, pp 61–86

    Chapter  Google Scholar 

  • Crichton D (1999) The risk triangle. In: Ingleton J (ed) Natural disaster management. Tudor Rose, London, pp 102–103

    Google Scholar 

  • CrisisMappers (2012) The humanitarian technology network. Available at http://crisismappers.net/. Accessed 12 Jul 2012

  • Crowley H, Bommer J (2006) Modelling seismic hazard in earthquake loss models with spatially distributed exposure. Bull Earthq Eng 4:249–273

    Article  Google Scholar 

  • Crowley H, Pinho R, Bommer JJ (2004) A probabilistic displacement-based vulnerability assessment procedure for earthquake loss estimation. Bull Earthq Eng 2:173–219

    Article  Google Scholar 

  • Crowley H, Pinho R, Bommer JJ, Bird JF (2006) Development of a displacement-based method for earthquake loss assessment. Report 2006/01. European School for Advanced Studies in Reduction of Seismic Risk (ROSE School), Pavia, Italy

  • CSA (2012) Canadian space agency—RADARSAT Mission description. Available at http://www.asc-csa.gc.ca/eng/satellites/radarsat/description.asp. Accessed 8 May 2012

  • Cunningham D, Grebby S, Tansey K, Gosar A, Kastelic V (2006) Application of airborne LiDAR to mapping seismogenic faults in forested mountainous terrain, southeast Alps, Slovenia. Geophys Res Lett 33:L20308. doi:20310.21029/22006GL027014

    Article  Google Scholar 

  • Cutter SL (1996) Vulnerability to environmental hazards. Prog Hum Geogr 20(4):529–539

    Article  Google Scholar 

  • Cutter S (2003) Social vulnerability to environmental hazards. Social Sci Q 84(2):242–261

    Article  Google Scholar 

  • Cutter S, Emrich C, Webb J, Morath D (2009) Social vulnerability to climate variability hazards: a review of the literature. Final Report to Oxfam America

  • Daniell J (2009) Open source Procedure for assessment of loss using global earthquake modelling—OPAL-GEM Project. CEDIM Research Report 09/01. Karlsruhe, Germany

  • Daniell JE (2011) Open source procedure for assessment of loss using global earthquake modelling software (OPAL). Nat Haz Earth Syst Sci 11:1885–1900

    Article  Google Scholar 

  • Davidson R (1997) An urban earthquake disaster risk index. John A. Blume Earthquake Engineering Center, Department of Civil Engineering. Stanford University, Stanford

    Google Scholar 

  • Dech S (1997) Anwendung der Satellitenfernerkundung. Von der geowissenschaftlichen Forschung zum operationellem Einsatz. DLR Forschungsbericht 97:52

    Google Scholar 

  • Deichmann U, Ehrlich D, Small C, Zeug G (2011) Using high resolution satellite data for the identification of urban natural disaster risk. Global Facility for Disaster Reduction and Recovery, Washington, DC

    Google Scholar 

  • Dell’Acqua F, Lisini G, Gamba P (2009) Experiences in optical and SAR imagery analysis for damage assessment in the Wuhan, May 2008 Earthquake. IEEE Int Geosci Remote Sens Sympos 1–5:2417–2420

    Google Scholar 

  • Demirkesen AC (2008) Digital terrain analysis using Landsat-7 ETM + imagery and SRTM DEM: a case study of Nevsehir province (Cappadocia), Turkey. Int J Remote Sens 29:4173–4418

    Article  Google Scholar 

  • Deng X, Jiang Q, Ge Q, Yang L (2010) Impacts of the Wenchuan earthquake on the Giant Panda nature reserves in China. J Mount Sci 7:197–206

    Article  Google Scholar 

  • DESDynI (2011) Deformation, ecosystem structure and dynamics of ice—mission concept. Available at http://desdyni.jpl.nasa.gov/mission/. Accessed 7 Oct 2011

  • DigitalGlobe (2012) WorldView-3. Available at http://www.digitalglobe.com/downloads/WorldView3-DS-WV3-Web.pdf. Accessed 24 May 212

  • Dilley M, Chen RS, Deichmann U, Lerner-Lam AL, Arnold M, Agwe J, Buys P, Kjekstad O, Lyon B, Yetman G (eds) (2005) Natural disaster hotspots. A global risk analysis, vol 5. Disaster risk management series. The World Bank Hazard Management Unit, Washington DC

  • Ding X, Huang W (2011) D-InSAR monitoring of crustal deformation in the eastern segment of the Altyn Tagh Fault. Int J Remote Sens 32:1797–1806

    Article  Google Scholar 

  • DLR-ZKI (2010) Earthquakes in Haiti on January 12, 2010. Available at http://www.zki.dlr.de/article/1262. Accessed 24 Jun 2011

  • Dobson JE, Bright EA, Coleman PR, Durfee RC, Worley BA (2000) LandScan: a global population database for estimating populations at risk. Photogram Eng Remote Sens 66:849–857

    Google Scholar 

  • Dominguez S, Avouac JP, Remi M (2003) Horizontal coseismic deformation of the 1999 Chi–Chi earthquake measured from SPOT satellite images: Implications for the seismic cycle along the western foothills of central Taiwan. J Geophys Res 108 (0.1029/2001JB000951)

  • Downing TE, Butterfield R, Cohen S, Huq S, Moss R, Rahman A, Sokona Y, Stephen L (2001) Vulnerability indices: Climate change impacts and adaption. Policy Series 3. United Nations Development Programme, Nairobi, Kenya

  • Duarah BP, Phukan S (2011) Understanding the tectonic behaviour of the Shillong plateau, India using remote sensing data. J Geol Soc India 77:105–112

    Article  Google Scholar 

  • Ebert A, Kerle N, Stein A (2009) Urban social vulnerability assessment with physical proxies and spatial metrics derived from air- and spaceborne imagery and GIS data. Nat Hazards 48:275–294

    Article  Google Scholar 

  • e-GEOS (2012) e-GEOS: emergency response mapping. Available at http://www.eurimage.com/applications/emergency.html. Accessed 11 Jul 2012

  • Ehrlich D, Zeug G (2008) Assessing disaster risk of building stock. Methodology based on earth observation and geographical information systems. JRC scientific and technical reports. European Commission Joint Research Centre—Institute for the Protection and Security of the Citizen

  • Ehrlich D, Guo H, Molch K, Ma JW, Pesaresi M (2009) Identifying damage caused by the 2008 Wenchuan earthquake from VHR remote sensing data. Int J Digital Earth 2(4):309–326

    Article  Google Scholar 

  • Ehrlich D, Zeug G, Gallego J, Gerhardinger A, Caravaggi I, Pesaresi M (2010) Quantifying the building stock from optical high-resolution satellite imagery for assessing disaster risk. Geocarto Int 25(4):281–293

    Article  Google Scholar 

  • Eineder M, Friedrich A, Minet C, Bamler R, Flerit F, Hajnsek I (2009) Scientific requirements and feasibility on an L-band mission dedicated to measure surface deformation. IEEE Int Geosci Remote Sens Sympos. 12–17 July 2009, Cape Town, South Africa

  • Eineder M, Yague-Martinez N, Minet C, Fritz T, Parizzi A (2010) Haiti earthquake surface shift estimation using TerraSAR-X data. Available at http://supersites.earthobservations.org/TerraSAR-X-DLR-01-27.pdf. Accessed 5 Jul 2011

  • EMCA (2011) Earthquake model Central Asia. Available at http://www.emca-gem.org/. Accessed 21 Sep 2011

  • EMME (2011) Earthquake model of the Middle East Region. Available at http://www.emme-gem.org/. Accessed 21 Sep 2011

  • Erdik M, Demircioglu M, Sesetyan K, Durukal E, Siyahi B (2004) Earthquake hazard in Marmara Region, Turkey. Soil Dyn Earthq Eng 24:605–631

    Article  Google Scholar 

  • Erten E, Reigber A, Hellwich O (2010) Generation of three-dimensional deformation maps from InSAR data using spectral diversity techniques. ISPRS J Photogram Remote Sens 65:388–394

    Article  Google Scholar 

  • ESA (2011) GMES sentinels—sentinels overview. Available at http://www.esa.int/esaLP/SEM097EH1TF_LPgmes_0.html. Accessed 30 Sep 2011

  • ESA II (2012) ESA—insurance workshop on earth observation (Natural Catastrophes). Workshop summary report, Esrin, Italy, 23–24 Feb 2012. Available at http://earth.eo.esa.int/workshops/Insurance/files/Insurance_Industry_EO_wshop_report_FINAL.pdf. Accessed 13 Jul 2012

  • Esch T, Dech S, Roth A, Schmidt M, Taubenböck H, Heldens W, Thiel M, Wurm M, Klein D (2009) Monitoring and assessment of urban environments using space-borne earth observation data. In: Kreck A, Rumor M, Zlatanova S, Fendel E (eds) Urban and regional data management. Taylor & Francis Group, London, pp 385–398

    Google Scholar 

  • Esch T, Thiel M, Schenk A, Roth A, Müller A, Dech S (2010) Delineation of urban footprints from TerraSAR-X data by analyzing speckle characteristics and intensity information. IEEE Trans Geosci Remote Sens 48(2):905–916

    Article  Google Scholar 

  • Fekete A (2011). Spatial disaster vulnerability and risk assessments: challenges in their quality and acceptance. Nat Haz. doi:10.1007/s11069-011-9973-7

  • Fekete A, Hufschmidt G (2012) Atlas of vulnerability and resilience research: case studies for Germany, Austria and Switzerland (to be published)

  • FEMA (2010) HAZUS—MH MR5. Multi-hazard loss estimation methodology—earthquake model. Technical manual. Department of Homeland Security, Emergency Prepardness and Response Directorate. Washington DC

  • Fielding EJ, Wright TJ, Muller J, Parsons BE, Walker R (2004) Aseismic deformation of a fold-and-thrust belt imaged by synthetic aperture radar interferometry near Shahdad, southeast Iran. Geology 32(7):577–580

    Article  Google Scholar 

  • Fornaro G, Pauciullo A, Serafino F (2009) Deformation monitoring over large areas with multipass differential SAR interferometry: a new approach based on the use of spatial differences. Int J Remote Sens 30:1455–1478

    Article  Google Scholar 

  • Forsyth T (2004) Critical political ecology: the politics of environmental science. Routledge, London

    Google Scholar 

  • Freeman AS (2004) Review of the development of the capacity spectrum method. ISET J Earthq Technol 41(1):1–13

    Google Scholar 

  • French SP, Muthukumar S (2006) Advanced technologies for earthquake risk inventories. J Earthquake Eng 10(2):207–236

    Google Scholar 

  • Fu B, Ninomiya Y, Lei X, Toda S, Awata Y (2004) Mapping active fault associated with the 2003 Mw 6.6 Bam (SE Iran) earthquake with ASTER 3D images. Remote Sens Environ 92:153–157

    Article  Google Scholar 

  • Fuchs S (2009) Susceptibility versus resilience to mountain hazards in Austria—Paradigms of vulnerability revisited. Nat Haz Earth Syst Sci 9:337–352

    Article  Google Scholar 

  • Fuchs S, Kuhlicke C, Meyer V (2011) Editorial for the special issue: vulnerability to natural hazards—the challenge of integration. Nat Hazards 58:609–619

    Article  Google Scholar 

  • Füssel HM (2005) Vulnerability in climate change research: a comprehensive conceptual framework. University of California, International and Area Studies. Breslauer Symposium No. 6, Paper 6

  • Füssel HM (2007) Vulnerability: a generally applicable conceptual framework for climate change research. Global Environ Change 17:155–167

    Article  Google Scholar 

  • Füssel HM, Klein RJT (2006) Climate change vulnerability assessments: an evolution of conceptual thinking. Climatic Change 75:301–329

    Google Scholar 

  • Gamba P, Dell’Acqua F, Trianni G (2007) Rapid damage detection in the Bam area using multitemporal SAR and exploiting ancillary data. IEEE Trans Geosci Remote Sens 45(6):1582–1589

    Article  Google Scholar 

  • Gamba P, Aldrighi M, Stasolla M (2011) Robust extraction of urban area extents in HR and VHR SAR Images. IEEE J Select Topics Appl Earth Observ Remote Sens 4(1):27–34

    Article  Google Scholar 

  • Garatwa W, Bollin C (2002) Disaster risk management: working concept. GTZ—Gesellschaft für technische Zusammenarbeit, Eschborn

    Google Scholar 

  • Ge Y, Xu J, Liu Q, Yao Y, Wang R (2009) Image interpretation and statistical analysis of vegetation damage caused by the Wenchuan earthquake and related secondary disasters. J Appl Remote Sens 3:031660. doi:10.1117/1.3141726 (26 May 2009)

  • GEM (2011) Global earthquake model. Available at http://www.globalquakemodel.org/. Accessed 21 Sep 2011

  • GEO (2011) Group on earth observations. Disasters: strategic target. Available at http://www.earthobservations.org/geoss_di_tar.shtml. Accessed 17 Oct 2011

  • GeoNode (2012) GeoNode online platform. Available at http://geonode.org/. Accessed 18 Jul 2012

  • GFDRR (2011) Global facility for disaster reduction and recovery. Available at http://www.gfdrr.org/gfdrr/. Accessed 17 Oct 2011

  • GFDRR (2012) GFDRR case study: Central American probabilistic risk assessment (CAPRA). Available at http://www.gfdrr.org/docs/Snapshot_CAPRA.pdf. Accessed 18 Jul 2012

  • GIO (2012) GMES initial operations (GIO). Available at http://portal.ems-gmes.eu/web/guest;jsessionid=a5adb6c432f96a27da343aee7a81. Accessed 21 Sep 2011

  • Girgin S (2011) The natech events during the 17 August 1999 Kocaeli earthquake: aftermath and lessons learned. Nat Haz Earth Syst Sci 11(4):1129–1140

    Article  Google Scholar 

  • Gitas IZ, Polychronaki A, Katagis T, Mallinis G (2008) Contribution of remote sensing to disaster management activities: a case study of the large fires in the Peloponnese, Greece. Int J Remote Sens 29(6):1847–1853

    Article  Google Scholar 

  • G-MOSAIC (2012) G-MOSAIC: GMES pilot services for security. Available at http://www.gmes-gmosaic.eu/. Accessed 12 Jul 2012

  • Gonzalez PJ, Chini M, Stramondo S, Fernandez J (2010) Coseismic horizontal offsets and fault-trace mapping using phase correlation of IRS satellite images: the 1999 Izmit (Turkey) earthquake. IEEE Trans Geosci Remote Sens 48:2242–2250

    Article  Google Scholar 

  • Google (2012) Google map maker. Available at http://www.google.com/mapmaker. Accessed 12 Jul 2012

  • Gorny VI, Salman AG, Tronin AA, Shilin BV (1988) The earth’s outgoing IR radiation as an indicator of seismic activity. Proc Acad Sci USSR 301:67–69

    Google Scholar 

  • Granger K (2003) Quantifying storm tide risk in cairns. Nat Hazards 30:165–185

    Article  Google Scholar 

  • Gravely D (2001) Risk, hazard and disaster. University of Canterbury, New Zealand

    Google Scholar 

  • Green C (2004) The evaluation of vulnerability to flooding. Disast Prevent Manage 13(4):323–329

    Article  Google Scholar 

  • Grünthal G, Musson R, Schwarz J, Stucchi M (1998) European Macroseismic Scale. Cahiers de Centre Européen de Géodynamique et de Seismologie, vol 15. Luxembourg

  • Guinau M, Pallas R, Vilaplana JM (2005) A feasible methodology for landslide susceptibility assessment in developing countries: a case-study of NW Nicaragua after Hurricane Mitch. Eng Geol 80(3–4):316–327

    Article  Google Scholar 

  • Guo H (2009) Guest editorial: remote sensing of the Wenchuan earthquake. J Appl Remote Sens 3:031699. doi:10.1117/1.3153899 (26 May 2009)

  • Guo H (2010) Understanding global natural disasters and the role of earth observation. Int J Digital Earth 3(3):221–230

    Article  Google Scholar 

  • Guo HD, Ma JW, Zhang B, Li Z, Huang J, Zhu LW (2010) Damage consequence chain mapping after the Wenchuan earthquake using remotely sensed data. Int J Remote Sens 31(13):3427–3433

    Article  Google Scholar 

  • Gup G, Xie G (2007) Earthquake cloud over Japan detected by satellite. Int J Remote Sens 28(23):5375–5376

    Article  Google Scholar 

  • Hahn H (2003) Indicators and other instruments for local risk management for communities and local governments. Document prepared as part of the documents related to the Project Local Risk Management for Communities and Local Governments. The German Technical Cooperation Agency (GTZ) for IADB

  • Han S-C, Shum CK, Bevis M, Ji C, Kuo C-Y (2006) Crustal dilatation observed by GRACE after the 2004 Sumatra-Andaman earthquake. Science 313:658–662

    Article  Google Scholar 

  • Han Y, Liu H, Cui P, Su F, Du D (2009) Hazard assessment on secondary mountain-hazards triggered by the Wenchuan earthquake. J Appl Remote Sens 3:031645. doi:10.1117/1.3154419

  • Heipke C (2010) Crowdsourcing geospatial data. ISPRS J Photogram Remote Sens 65:550–557

    Article  Google Scholar 

  • Heldens W, Heiden U, Esch T, Stein E, Müller A (2011) Can the future EnMAP mission contribute to urban applications? A Literature Survey. Remote Sens 3(9):1817–1846

    Article  Google Scholar 

  • Heltberg R, Siegel PB, Jorgensen SL (2009) Addressing human vulnerability to climate change: toward a ‘no-regrets’ approach. Global Environ Change 19(1):89–99

    Article  Google Scholar 

  • Hilhorst D, Bankoff G (2004) Mapping vulnerability. In: Bankoff G, Frerks G, Hilhorst D (eds) Mapping vulnerability Disasters. Development & People, Eartscan, pp 1–24

    Google Scholar 

  • Hoffmann J (2007) Mapping damage during the Bam (Iran) earthquake using interferometric coherence. Int J Remote Sens 28(6):1199–1216

    Article  Google Scholar 

  • Hong Y, Adler R, Huffmann G (2007) Use of satellite remote sensing data in the mapping of global landslide susceptibility. Nat Hazards 43:245–256

    Article  Google Scholar 

  • HOSMT (2012) Humanitarian open street map team. Available at http://hot.openstreetmap.org/. Accessed 12 Jul 2012

  • Huang RQ, Li WL (2009) Analysis of the geo-hazards triggered by the 12 May 2008 Wenchuan Earthquake. China Bull Eng Geol Environ 68(3):363–371

    Article  Google Scholar 

  • Huang X, Wei C, Li H (2009) Remote sensing analysis of the distribution and genetic mechanisms of transportation network damage caused by the Wenchuan earthquake. J Appl Remote Sens 3:031650. doi: 10.1117/1.3154387 (26 May 2009)

  • Hufschmidt G (2011) A comparative analysis of several vulnerability concepts. Nat Hazards 58:621–643

    Article  Google Scholar 

  • ICSMD (2011a) Earthquake in Japan. Available at http://www.disasterscharter.org/web/charter/activation_details?p_r_p_1415474252_assetId=ACT-359. Accessed 25 Sep 2011

  • ICSMD (2011b) International Charter on space and major disasters. Charter on cooperation to achieve the coordinated use of space facilities in the event of natural or technological disasters rev. 3 (25/4/2000). 2. Available at http://www.disasterscharter.org/web/charter/charter. Accessed 25 Sep 2011

  • ICSU (2011) International council for science. Disaster risk—integrated research on disaster risk. Available at http://www.icsu.org/what-we-do/interdisciplinary-bodies/irdr. Accessed 17 Oct 2011

  • IDRC (2011) International disaster risk conference. Available at http://www.idrc.info/. Accessed 17 Oct 2011

  • IFRC (1999) Vulnerability and capacity assessment: an international federation guide. Switzerland, Geneva

    Google Scholar 

  • INSPIRE (2012) Infrastructure for spatial information in the European Community. Available at http://inspire.jrc.ec.europa.eu/. Accessed 13 Jul 2012

  • InSTEDD (2012) Innovative support to emergencies diseases and disasters. Available at http://instedd.org/. Accessed 12 Jul 2012

  • Jaiswal K, Wald D, Porter K (2010) A global building inventory for earthquake loss estimation and risk management. Earthq Spectra 26:731–748

    Article  Google Scholar 

  • Jaiswal K, Wald D, D’Ayala D (2011) Developing empirical collapse fragility functions for global building types. Earthq Spectra 27(3):775–795

    Article  Google Scholar 

  • Janssen AM, Ostrom E (2006) Resilience, vulnerability, and adaption: a cross-cutting theme of the international human dimensions programme on global environmental change (editorial). Global Environ Change 16:237–239

    Article  Google Scholar 

  • JAXA (2011) Advanced land observing satellite-2. Available at http://www.jaxa.jp/projects/sat/alos2/index_e.html. Accessed 7 Oct 2011

  • Joyce K, Belliss S, Samsonov S, McNeill S, Glassey P (2009a) A review of the status of satellite remote sensing and image processing techniques for mapping natural hazards and disasters. Prog Phys Geogr 33(2):183–207

    Article  Google Scholar 

  • Joyce K, Wright K, Samsonov S (2009b) Remote sensing and the disaster management cycle. In: Jedlovec G (ed) Advances in geoscience and remote sensing, vol 48(7). INTECH, pp 317–346

  • Kakinami Y, Liu JY, Tsai LC, Oyama KI (2010) Ionospheric electron content anomalies detected by a FORMOSAT-3/COSMIC empirical model before and after the Wenchuan Earthquake. Int J Remote Sens 31:3571–3578

    Article  Google Scholar 

  • Kasperson J, Kasperson R, Turner BL, Hsieh W, Schiller A (2005) Vulnerability to global environmental change. In: Kasperson J, Kasperson R (eds) The social contours of risk. Volume II: Risk analysis, corporations & the globalization of risk. Earthscan, London, pp 245–285

    Google Scholar 

  • Katti RV, Thyagarajan K, Shankara NK, Kiran Kumar SA (2007) Spacecraft technology, special section: Indian space programme. Curr Sci 93(12):1715–1736

    Google Scholar 

  • Kaya S, Muftuoglu O, Tuysuz O (2004) Tracing the geometry of an active fault using remote sensing and digital elevation model: Ganos segment, North Anatolian Fault zone, Turkey. Int J Remote Sens 25(19):3843–3855

    Article  Google Scholar 

  • Kaya S, Curran PJ, Llewellyn G (2005) Post-earthquake building collapse: a comparison of government statistics and estimates derived from SPOT HRVIR data. Int J Remote Sens 26(13):2731–2740

    Article  Google Scholar 

  • Kerle N (2010) Satellite-based damage mapping following the 2006 Indonesia earthquake—how accurate was it? Int J Appl Earth Obs Geoinf 12(6):466–476

    Article  Google Scholar 

  • Korup O (2010) COGEAR—coupled seismogenic geohazards in alpine regions. Module 1: earthquake-triggered landslides—spatial patterns and impacts. Swiss Federal Research Institutes WSL/SLF, Davos, Switzerland

  • Kosugi Y, Sakamoto M, Fukunishi M, Lu W, Doihara T, Kakumoto S (2004) Urban change detection related to earthquakes using an adaptive nonlinear mapping of high-resolution images. IEEE Geosci Remote Sens Lett 1(3):152–156

    Article  Google Scholar 

  • Kumar KV, Martha TR, Roy PS (2006) Mapping damage in the Jammu and Kashmir caused by 8 October 2005 Mw 7.3 earthquake from the Cartosat-1 and Resourcesat-1 imagery. Int J Remote Sens 27(20):4449–4459

    Article  Google Scholar 

  • Kuzuoka S, Mizuno T (2004) Land deformation monitoring using PSInSAR technique. In: Proceedings of international symposium on monitoring, prediction and mitigation of disasters by satellite remote sensing, Awaji, Hyogo, Japan, January 2004, pp 176–181

  • Lafond G, Gosselin A (1994) A survey on perceived risks. In: Martin LRG (ed) Risk assessment and management: emergency planning perspectives, pp 44–59

  • Lang S, Tiede D (2010) Rapid geospatial reporting. Erfahrungen mit automatisierter Schadensanalyse nach den Erdbeben in Haiti und Chile. GIS Bus 2:42–43

    Google Scholar 

  • Leprince S, Ayoub F, Klinger Y, Avouac JP (2007) Co-registration of optically sensed images and correlation (COSI-Corr): an operational methodology for ground deformation measurements. In: IEEE international geoscience and remote sensing symposium, July 2007, Barcelona, Spain, pp 1943–1946

  • Lewis J (1999) Development in disaster-prone places: Studies of vulnerability. Intermediate Technology Publications, London

    Google Scholar 

  • Li M, Cheng L, Gong J, Liu Y, Chen Z, Li F, Chen G, Chen D, Song X (2008) Post-earthquake assessment of building damage degree using LiDAR data and imagery. Sci China Ser E: Technol Sci 51:133–143

    Article  Google Scholar 

  • Li P, Xu H, Guo J (2010) Urban building damage detection from very high resolution imagery using OCSVM and spatial features. Int J Remote Sens 31:3393–3409

    Article  Google Scholar 

  • LinkER (2012) linkER-supporting the implementation of operational GMES services in emergency response. Available at http://www.zki.dlr.de/project/1394. Accessed 8 May 2012

  • Liou YA, Kar SK, Chang L (2010) Use of high-resolution FORMOSAT-2 satellite images for post-earthquake disaster assessment: a study following the 12 May 2008 Wenchuan Earthquake. Int J Remote Sens 31:3355–3368

    Article  Google Scholar 

  • Liu JG, Haselwimmer CE (2006) Co-seismic ruptures found up to 60 km south of the Kunlun fault after 14 November 2001, Ms 8.1, Kokoxili earthquake using Landsat-7 ETM + imagery. Int J Remote Sens 27:4461–4470

    Article  Google Scholar 

  • López-Dekker P, Prats P, De Zan F, Schulze D, Krieger G, Moreira A (2011) TanDEM-X first DEM acquisition: a crossing orbit experiment. IEEE Geosci Remote Sens Lett 8(5):943–947

    Article  Google Scholar 

  • Lundgren P, Casu F, Manzo M, Pepe A, Berardino P, Sansosti E, Lanari R (2004) Gravity and magma induced spreading of Mount Etna volcano revealed by satellite radar interferometry. Geophys Res Lett 31:L04602. doi:10.1029/2003GL018736

    Article  Google Scholar 

  • Maeda T, Takano T (2010) Detection algorithm of earthquake-related rock failures from satellite-borne microwave radiometer data. IEEE Trans Geosci Remote Sens 48(4):1768–1776

    Article  Google Scholar 

  • Marsan D, Lengline O (2008) Extending earthquakes’ reach through cascading. Science 319(5866):1076–1079

    Article  Google Scholar 

  • Massonnet D (1995) Application of remote sensing data in earthquake monitoring. Adv Space Res 15(11):37–44

    Article  Google Scholar 

  • Massonnet D, Feigl K (1998) Radar interferometry and its application to changes on the earth surface. Rev Geophys 36:441–500

    Article  Google Scholar 

  • Massonnet D, Rossi M, Carmona C, Adragna F, Peltzer G, Feigl K, Rabaute T (1993) The displacement field of the Landers earthquake mapped by radar interferometry. Nature 364:138–142

    Article  Google Scholar 

  • Masure P (2003) Variables and indicators of vulnerability and disaster risk for land-use and urban or territorial planning. Information and indicators program for disaster risk management, IADB–ECLAC–IDEA

  • Matsuoka M, Yamazaki F (2010).Comparative analysis for detecting areas with building damage from several destructive earthquakes using satellite synthetic aperture radar images. J Appl Remote Sens 4:041867. doi:10.1117/1.3525581 (18 Nov 2010)

  • McCloskey J, Nalbant SS, Steacy S (2005) Indonesian earthquake: earthquake risk from co-seismic stress. Nature 434:291

    Article  Google Scholar 

  • Menoni S, Pergalani F, Boni MP, Petrini V (2002) Lifelines earthquake vulnerability assessment: a systemic approach. Soil Dyn Earthq Eng 22(9–12):1199–1208

    Article  Google Scholar 

  • Mercer J, Dominey-Howes D, Kelman I, Lloyd K (2007) The potential for combining indigenous and western knowledge in reducing vulnerability to environmental hazards in small island developing states. Environ Hazards 7(4):245–256

    Article  Google Scholar 

  • Minet C, Eineder M, Bamler R, Hajnsek I, Friedrich A (2008) Requirements for an L-band SAR-Mission for global monitoring of tectonic activities. USEReST ‘08, 11–14 November 2008, Naples, Italy

  • Mitomi H, Matsuoka M, Yamazaki F (2002) Application of automated damage detection of buildings due to earthquakes by panchromatic television Images. In: Proceedings of the 7th U.S. national conference on earthquake engineering, Boston

  • Möller M (2011) Systemvergleich hochauflösender optischer Satellitenfernerkundungssensoren. In: Strobl J, Blaschke T, Griesebner G (eds) Angewandte Geoinformatik 2011, Beiträge zum 23. AGIT-Symposium Salzburg, 2011. Wichmann Verlag, Heidelberg

  • Moreira A, Krieger G, Younis M, Hajnsek I, Papathanassiou K, Eineder M, De Zan F (2011) Tandem-L: a mission proposal for monitoring dynamic earth processes. In: IEEE international geoscience and remote sensing symposium, 25–29 July 2011, Vancouver, Canada

  • Motagh M, Schurr B, Anderssohn J, Cailleau B, Walter TR, Wang R, Villotte JP (2010) Subduction earthquake deformation associated with 14 November 2007, Mw 7.8 Tocopilla earthquake in Chile: results from InSAR and aftershocks. Tectonophysics 490(1–2):66–68

    Google Scholar 

  • Mueller M, Segl K, Heiden U, Kaufmann H (2006) Potential of high-resolution satellite data in the context of vulnerability of buildings. Nat Hazards 38:247–258

    Article  Google Scholar 

  • Müller A, Reiter J, Weiland U (2011) Assessment of urban vulnerability towards floods using an indicator-based approach—a case study for Santiago de Chile. Nat Haz Earth Syst Sci 11:2107–2123

    Article  Google Scholar 

  • Munich Re Group (2011) Topics geo, natural catastrophes 2008—analyses, assessments, positions. Available at http://www.amre.com/pdf/topicsgeo_2008.pdf. Accessed 19 Sep 2011

  • Nassel M, Voigt S (2006) Vulnerability assessment of the built environment. In: Birkmann J, Fernando N, Hettige S, Amarasinghe S, Jayasingham T, Paranagama D, Nandana MDA, Nassel M, Voigt S, Grote U, Engel S, Schraven B, Wolferts J (eds) Rapid and multidimensional vulnerability assessment in Sri Lanka at the local level. UNU-EHS, Colombo, pp 10–22

    Google Scholar 

  • Neer JT (1999) High resolution imaging from space—a commercial perspective on a changing landscape. Int Arch Photogram Remote Sens XXXII(7C2):132-143

  • O’Brien K, Leichenko R, Kelkar U, Venema H, Aandahl G, Tompkins H, Javed A, Bhadwal S, Barg S, Nygaard L, West J (2004) Mapping vulnerability to multiple stressors: climate change and globalization in India. Global Environ Change 14(4):303–313

    Article  Google Scholar 

  • OGC (2012) Open geospatial consortium. Available at http://www.opengeospatial.org/. Accessed 8 May 2012

  • O’Keefe P, Westgate K, Wisner B (1976) Taking the naturalness out of natural disasters. Nature 260:566–567

    Article  Google Scholar 

  • Ouzounov D, Freund F (2004) Mid-infrared emission prior to strong earthquakes analyzed by remote sensing data. Adv Space Res 33(3):268–273

    Article  Google Scholar 

  • Ouzounov D, Bryant N, Logan T, Pulinets S, Taylor S (2006) Satellite thermal IR phenomena associated with some of the major earthquakes in 1999–2003. Phys Chem Earth Parts A/B/C 31(4–9):154–163

    Article  Google Scholar 

  • Ouzounov D, Liu D, Kang C, Cervone G, Kafatos M, Taylor P (2007) Outgoing long wave radiation variability from IR satellite data prior to major earthquakes. Tectonophysics 431:211–220

    Article  Google Scholar 

  • Ozawa S, Murakami M, Fujiwara S, Tobita M (1997) Synthetic aperture radar interferogram of the 1995 Kobe earthquake and its geodetic inversion. Geophys Res Lett 24(18):2327–2330

    Article  Google Scholar 

  • Panza GF, Irikura K, Kouteva M, Peresan A, Wang Z, Saragoni R (2011) Advanced seismic hazard assessment. Pure Appl Geophys 168:1–9

    Article  Google Scholar 

  • Parsons T (2004) Recalculated probability of M ≥ 7 earthquakes beneath the Sea of Marmara, Turkey. J Geophys Res 109:B05304

    Article  Google Scholar 

  • Paylor ED II, Evans DL, Tralli DM (2005) Remote sensing and geospatial information for natural hazards characterization. ISPRS J Photogram Remote Sens 59:181–184

    Article  Google Scholar 

  • Peduzzi P (2006) The disaster risk index: overview over a quantitative approach. In: Birkmann J (ed) Measuring vulnerability to natural hazards—towards disaster resilient societies. United Nations University, New York, pp 171–181

    Google Scholar 

  • Peduzzi P, Dao H, Herold C (2005) Mapping disastrous natural hazards using global datasets. Nat Hazards 35:265–289

    Article  Google Scholar 

  • Peduzzi P, Dao H, Herold C, Mouton F (2009) Assessing global exposure and vulnerability towards natural hazards: the disaster risk index. Nat Haz Earth Syst Sci 9(4):1149–1159

    Article  Google Scholar 

  • Pelling M (2003) The vulnerability of cities—natural disasters and social resilience. Earthscan Publications Ltd., London

    Google Scholar 

  • PERILS (2012) PERILS AG. Available at http://www.perils.org/. Accessed 17 Jul 2012

  • Pesaresi M, Gerhardinger A (2011) Improved textural built-up presence for automatic recognition of human settlements in arid regions with scattered vegetation. IEEE J Select Topics Appl Earth Observ Remote Sens 4(1):16–26

    Article  Google Scholar 

  • Pesaresi M, Gerhardinger A, Haag F (2007) Rapid damage assessment of built-up structures using VHR satellite data in tsunami-affected areas. Int J Remote Sens 28(13–14):3013–3036

    Article  Google Scholar 

  • Pesaresi M, Ehrlich D, Caravaggi I, Kauffmann M, Louvrier C (2011) Toward global automatic built-up area recognition using optical VHR imagery. IEEE J Select Topics Appl Earth Observ Remote Sens 4(4):923–934

    Article  Google Scholar 

  • Philip G (2010) Remote sensing data analysis for mapping active faults in the northwestern part of Kangara Valley, NW Himalaya, India. Int J Remote Sens 28(21):4745–4761

    Article  Google Scholar 

  • Pinar A, Honkura Y, Kuge K (2001) Seismic activity triggered by the 1999 Izmit earthquake and its implications for the assessment of future seismic risk. Geophys J Int 146(1):F1–F7

    Article  Google Scholar 

  • Plaza AJ, Chang C-I (2008) High performance computing in remote sensing. Chapman & Hall, Boca Raton

    Google Scholar 

  • Polli D, Dell’Acqua F (2011) Fusion of optical and SAR data for seismic vulnerability mapping of buildings. In: Prasad S, Bruce LM, Chanussot J (eds) Optical remote sensing. Advances in signal processing and exploitation techniques. Springer, Heidelberg, pp 329–341

    Google Scholar 

  • Prasad JSR, Singh Y, Kaynia AM, Lindholm C (2009) Socioeconomic clustering in seismic risk assessment of urban housing stock. Earthq Spectra 25:619–641

    Article  Google Scholar 

  • PreView (2012) PreView: geo-information services for risk management on a European level. Available at http://www.preview-risk.com/site/FO/scripts/myFO_accueil.php?flash=1&lang=EN. Accessed 12 Jul 2012

  • Ramm F, Topf J, Chilton S (2010) OpenStreetMap: using and enhancing the free map of the world. UIT Cambridge Ltd., Cambridge, 352 pp

  • Rashed T, Weeks J (2003) Assessing vulnerability to earthquake hazards through spatial multicriteria analysis of urban areas. Int J Geogr Inf Sci 17(6):547–576

    Article  Google Scholar 

  • Rathje EM, Adams BJ (2008) The role of remote sensing in earthquake science and engineering: opportunities and challenges. Earthq Spectra 24(2):471–492

    Article  Google Scholar 

  • Reale D, Nitti DO, Peduto D, Nutricato R, Bovenga F, Fornaro G (2011) Postseismic deformation monitoring with the COSMO/SKYMED constellation. IEEE Geosci Remote Sens Lett 8:696–700

    Article  Google Scholar 

  • Reif D, Grasemann B, Faber RH (2011) Quantitative structural analysis using remote sensing data: Kurdistan, northeast Iraq. Aapg Bull 95:941–956

    Article  Google Scholar 

  • Remi M, Avouac JP (2002) Deformation due to the 17 August 1999 Izmit, Turkey, earthquake measured from SPOT images. J Geophys Res 107. doi:10.1029/2000JB000102

  • RIMS (2012) The risk management society. Available at http://www.rims.org/Pages/Default.aspx. Accessed 20 Jul 2012

  • RiskScape (2012) Easy-to-use multi-hazard impact and risk assessment tool. Available at http://www.globalquakemodel.org/. Accessed 21 Sep 2011

  • Robinson D, Dhu T, Schneider J (2006) Practical probabilistic seismic risk analysis: a demonstration of capability. Seismol Res Lett 77(4):453–459

    Article  Google Scholar 

  • Roessner S, Wetzel H-U, Kaufmann H, Sarnagoev A (2005) Potential of satellite remote sensing and GIS for landslide hazard assessment in Southern Kyrgyzstan (Central Asia). Nat Hazards 35:395–416

    Article  Google Scholar 

  • Rosenau M, Nerlich R, Brune S, Oncken O (2010) Experimental insights into the scaling and variability of local tsunamis triggered by giant subduction megathrust earthquakes. J Geophys Res Solid Earth 115:B09314. doi:10.1029/2009jb007100

    Article  Google Scholar 

  • SAFER (2011) Services and applications for emergency response. Available at http://safer.emergencyresponse.eu/site/FO/scripts/myFO_accueil.php?lang=EN. Accessed 21 Sep 2011

  • Sahal A, Roger J, Allgeyer S, Lemaire B, Hebert H, Schindele F, Lavigne F (2009) The tsunami triggered by the 21 May 2003 Boumerdes-Zemmouri (Algeria) earthquake: field investigations on the French Mediterranean coast and tsunami modelling. Nat Haz Earth Syst Sci 9(6):1823–1834

    Article  Google Scholar 

  • Sahar L, Muthukumar S, French P (2010) Using aerial imagery and GIS in automated building footprint extraction and shape recognition for earthquake risk assessment of urban inventories. IEEE Trans Geosci Remote Sens 48(9):3511–3520

    Article  Google Scholar 

  • Saito K, Spence R (2004) Rapid damage mapping using post-earthquake satellite images. In: IEEE international geoscience and remote sensing symposium, August 2004, Anchorage, AK, USA, pp 2272–2275

  • Salvi S, Stramondo S, Funning GJ, Ferretti A, Sarti F, Mouratidis A (2012) The Sentinel-1 mission for the improvement of the scientific understanding and the operational monitoring of the seismic cycle. Remote Sens Environ 120:164–174

    Article  Google Scholar 

  • Samuels P, Gouldby B, Klijn F, Messner F, van Os A, Sayers P, Schanze J, Udale-Clarke H (2009) Language of risk—project definitions. Floodsite project report T32-04-01

  • Saradjian MR, Akhoondzadeh M (2011) Thermal anomalies detection before strong earthquakes (M > 6.0) using interquartile, wavelet and Kalman filter methods. Nat Haz Earth Syst Sci 11:1099–1108

    Article  Google Scholar 

  • Saraf AK (2000) IRS-1C-PAN depicts Chamoli earthquake induced landslides in Garhwal Himalayas, India. Int J Remote Sens 21:2345–2352

    Article  Google Scholar 

  • Saraf AK, Choudhury S (2005) Thermal remote sensing technique in the study of pre-earthquake thermal anomalies. J Ind Geophys Union 9(3):197–207

    Google Scholar 

  • Saraf AK, Rawat V, Choudhury S, Dasgupta S, Das J (2009) Advances in understanding of the mechanism for generation of earthquake thermal precursors detected by satellites. Int J Appl Earth Obs Geoinf 11(6):373–379

    Article  Google Scholar 

  • Sarewitz D, Pielke R, Keykah M (2003) Vulnerability and risk; some thoughts from a political and policy perspective risk analysis. Risk Ana 23(4):805–810

    Article  Google Scholar 

  • Schmitt A, Wessel B, Roth A (2010) Curvelet-based change detection on SAR images for natural disaster mapping. Photogrammetrie Fernerkundung Geoinformation 6:463–474

    Google Scholar 

  • Schneiderbauer S, Ehrlich D (2004) Risk, hazard and people’s vulnerability to natural hazards. A review of definitions, concepts and data. Joint Research Centre, European Commission, EUR 21410

  • Schneiderbauer S, Ehrlich D (2006) Social levels and hazard (in)dependence in determining vulnerability. In: Birkmann J (ed) Measuring vulnerability to natural hazards. United Nations University Press, New York, pp 78–102

    Google Scholar 

  • Sertel E, Kaya S, Curran PJ (2007) Use of semivariograms to identify earthquake damage in an urban area. IEEE Trans Geosci Remote Sens 45(6):1590–1594

    Article  Google Scholar 

  • SERTIT (2012) SErvice Régional de Traitement d’Image et de Télédétection. Available at http://sertit.u-strasbg.fr/english/en_welcome.htm. Accessed 11 Jul 2012

  • SERVIR (2012) NASA Missions: SERVIR. Available at http://www.nasa.gov/mission_pages/servir/index.html. Accessed 11 Jul 2012

  • Setiadi N, Taubenböck H, Raupp S, Birkmann J (2010) Integrating socio-economic data in spatial analysis: An exposure analysis method for planning urban risk mitigation. In: 15th International conference on urban planning and regional development in the information society, Vienna, Austria. GeoMultimedia, pp 367–374

  • Shafique M, van der Meijde M, Ullah S (2011) Regolith modeling and its relation to earthquake induced building damage: a remote sensing approach. J Asian Earth Sci 42(1–2):65–75

    Article  Google Scholar 

  • Shafique M, van der Meijde M, van der Werff HMA (2012) Evaluation of remote sensing-based seismic site characterization using earthquake damage data. Terra Nova 24(2):123–129

    Article  Google Scholar 

  • Sinadinovski C, Edwards M, Corby N, Milne M, Dale K, Dhu T, Jones A, McPherson A, Jones T, Gray D, Robinson D, White J (2005) Earthquake risk. Natural hazard risk in Perth, WA, GeoCat No. 63527

  • Singh RP (2010) Satellite observations of the Wenchuan Earthquake, 12 May 2008. Int J Remote Sens 31(10):3335–3339

    Article  Google Scholar 

  • Sitharam TG, Anbazhagan P, Ganesha Raj K (2006) Use of remote sensing and seismotectonic parameters for seismic hazard analysis of Bangalore. Nat Haz Earth Syst Sci 6:927–939

    Article  Google Scholar 

  • Smit B, Wandel J (2006) Adaptation, adaptive capacity and vulnerability. Global Environ Change 16(3):282–292

    Article  Google Scholar 

  • Smith W (2005) The challenge of earthquake risk. Seismol Res Lett 76(4):415–416

    Article  Google Scholar 

  • Smith K, Petley DN (2009) Environmental hazards—Assessing risk and reducing disaster. Routhledge, London

    Google Scholar 

  • Stramondo S, Moro M, Tolomei C, Cinti FR, Doumaz F (2005) InSAR surface displacement field and fault modelling for the 2003 Bam earthquake (southeastern Iran). J Geodyn 40:347–353

    Article  Google Scholar 

  • Stramondo S, Bignami C, Chini M, Pierdicca N, Tertulliani A (2006) Satellite radar and optical remote sensing for earthquake damage detection: results from different case studies. Int J Remote Sens 27(20):4433–4447

    Article  Google Scholar 

  • Stramondo S, Saroli M, Tolomei C, Moro M, Doumaz F, Pesci A, Loddo F, Baldi P, Boschi E (2007) Surface movements in Bologna (Po Plain-Italy) detected by multitemporal DInSAR. Remote Sens Environ 110:304–316

    Article  Google Scholar 

  • Strunz, Post J, Zosseder K, Wegscheider S, Mück M, Riedlinger T, Mehl H, Dech S, Birkmann J, Gebert N, Harjono H, Anwar HZ, Sumaryono G, Khomarudin RM, Muhari A (2011) Tsunami risk assessment in Indonesia. Nat Haz Earth Syst Sci 11:67–82

    Article  Google Scholar 

  • Suzuki S (2012) ALOS program status. Presentation held at meeting JAXA and DLR on 13 Jul 2012, Oberpfaffenhofen, Germany

  • Suzuki T, Miyoshi D, Meguro J, Amano Y, Hashizume T, Sato K, Takiguchi J (2008) Real-time hazard map generation using small unmanned aerial vehicle. In: Proceedings of SICE annual conference, Tokyo (Japan), 20–22 Aug 2008

  • Tahayt A, Feigl K, Mourabit T, Rigo A, Reilinger R, McClusky S, Fadil A, Berthier E, Dorbath L, Serroukh M, Gomez F, Ben Sari D (2009) The Al Hoceima (Morocco) earthquake of 24 February 2004, analysis and interpretation of data from ENVISAT ASAR and SPOT5 validated by ground-based observations. Remote Sens Environ 113:306–316

    Article  Google Scholar 

  • Takano T, Maeda T (2009) Experiment and theoretical study of earthquake detection capability by means of microwave passive sensors on a satellite. IEEE Geosci Remote Sens Lett 6:107–111

    Article  Google Scholar 

  • Tang A, Wen A (2009) An intelligent simulation system for earthquake disaster assessment. Comput Geosci 35:871–879

    Article  Google Scholar 

  • Taubenböck H (2011) The vulnerability of a city—diagnosis from a bird’s eye view. In: Mörner N-A (ed) The Tsunami threat—research and technology. InTech, Croatia, pp 107–128

  • Taubenböck H, Geiß C (2012) Vulnerability and resilience research—a critical perspective. Atlas of vulnerability and resilience research: case studies for Germany, Austria and Switzerland (to be published)

  • Taubenböck H, Roth A, Dech S (2007) Linking structural urban characteristics derived from high resolution satellite data to population distribution. In: Coors V, Rumor M, Fendel E, Zlatanova S (eds) Urban and regional data management. Taylor & Francis Group, London, pp 35–45

    Google Scholar 

  • Taubenböck H, Post J, Roth A, Zosseder K, Strunz G, Dech S (2008) A conceptual vulnerability and risk framework as outline to identify capabilities of remote sensing. Nat Haz Earth Syst Sci 8:409–420

    Article  Google Scholar 

  • Taubenböck H, Goseberg N, Setiadi N, Lämmel G, Moder F, Oczipka M, Klüpfel H, Wahl R, Schlurmann T, Strunz G, Birkmann J, Nagel K, Siegert F, Lehmann F, Dech S, Gress A, Klein R (2009a) “Last-Mile” preparation for a potential disaster—interdisciplinary approach towards tsunami early warning and an evacuation information system for the coastal city of Padang, Indonesia. Nat Haz Earth Syst Sci 9:1509–1528

    Article  Google Scholar 

  • Taubenböck H, Roth A, Dech S, Mehl H, Münich JC, Stempniewski L, Zschau J (2009b) Assessing building vulnerability using synergistically remote sensing and civil engineering. In: Kreck A, Rumor M, Zlatanova S, Fendel E (eds) Urban and regional data management. Taylor & Francis Group, London, pp 287–300

    Google Scholar 

  • Teimouri M, Delavar MR, Kolyaie S, Chavoshi SH, Kiavarz Moghaddam H (2008) A SDSS-based earthquake damage assessment for emergency response: case study in Bam. Int Arch Photogram Remote Sens Spatial Inform Sci 37(B8):451–456

    Google Scholar 

  • Theilen-Willige B (2010) Detection of local site conditions influencing earthquake shaking and secondary effects in Southwest-Haiti using remote sensing and GIS-methods. Nat Haz Earth Syst Sci 10:1183–1196

    Article  Google Scholar 

  • Thywissen K (2006) Core terminology of disaster reduction: a comparative glossary. In: Birkmann J (ed) Measuring vulnerability to natural hazards. United Nations University Press, New York, pp 448–496

    Google Scholar 

  • Timmermann P (1981) Vulnerability, resilience and the collapse of society. No. 1 in environmental monograph. Institute for Environmental Studies, University of Toronto, Canada

  • Tralli DM, Blom RG, Zlotnicki V, Donnellan A, Evans DE (2005) Satellite remote sensing of earthquake, volcano, flood, landslide and coastal inundation hazards. ISPRS J Photogram Remote Sens 59:185–198

    Article  Google Scholar 

  • Tralli DM, Blom RG, Fielding EJ, Donnellan A, Evans DL (2007) Conceptual case for assimilating interferometric synthetic aperture radar data into the HAZUS-MH earthquake module. IEEE Trans Geosci Remote Sens 45:1595–1604

    Article  Google Scholar 

  • Trianni G, Gamba P (2009) Fast damage mapping in case of earthquakes using multitemporal SAR data. J Real-Time Image Proc 4:195–203

    Article  Google Scholar 

  • Tronin AA (1996) Satellite thermal survey—a new tool for the study of seismoactive regions. Int J Remote Sens 17(8):1439–1455

    Article  Google Scholar 

  • Tronin AA (2006) Remote sensing and earthquakes: a review. Phys Chem Earth 31:138–142

    Article  Google Scholar 

  • Tronin AA (2010) Satellite remote sensing in seismology. A review. Remote Sensing 2:124–150

    Article  Google Scholar 

  • Tsai YB, Liu JY, Ma KF, Yen HY, Chen KS, Chen YI, Lee CP (2006) Precursory phenomena associated with the 1999 Chi–Chi earthquake in Taiwan as identified under iSTEP Program. Phys Chem Earth 31:365–377

    Article  Google Scholar 

  • Turker M, Cetinkaya B (2005) Automatic detection of earthquake-damaged buildings using DEMs created from pre- and post-earthquake stereo aerial photographs. Int J Remote Sens 26(4):823–832

    Article  Google Scholar 

  • Turker M, San BT (2004) Detection of collapsed buildings caused by the 1999 Izmit, Turkey earthquake through digital analysis of post-event aerial photographs. Int J Remote Sens 25(21):4701–4714

    Article  Google Scholar 

  • Turker M, Sumer E (2008) Building-based damage detection due to earthquake using the watershed segmentation of the post-event aerial images. Int J Remote Sens 29(11):3073–3089

    Article  Google Scholar 

  • Turner BL, Kasperson R, Matson P, McCarthy J, Corell R, Christensen L, Eckley N, Kasperson J, Luers A, Martello M, Polsky C, Pulsipher A, Schiller A (2003) A framework for vulnerability analysis in sustainability science. Proc Nat Acad Sci USA 100(14):8074–8079

    Article  Google Scholar 

  • UN (1994) Report of the world conference on natural disaster reduction. Held at Yokohama, Japan, 23–27 May 1994

  • UN SPIDER (2011) United Nations platform for space-based information for disaster management and emergency response. Available at http://www.un-spider.org/. Accessed 17 Oct 2011

  • UN/ISDR (2004) Living with risk: a global review of disaster reduction initiatives. United Nations/International Strategy for Disaster Reduction, Geneva, Switzerland, UN Publications

  • UN/ISDR (2006) NGOs & disaster risk reduction: a preliminary review of initiatives and progress made. Background Paper for a consulative meeting on a “Global Network of NGOs for Community Resilience to Disasters”, Geneva, Switzerland, 25–26 October 2006

  • UN/ISDR (2011) United Nations international strategy for disaster reduction. Available at http://www.unisdr.org/. Accessed 17 Oct 2011

  • UNDP (2004) Reducing disaster risk—a challenge for development—a Global report. United Nations Development Programme, New York

    Google Scholar 

  • UNDP/ERRRP (2009) Earthquake vulnerability profile and preparedness plan of Hetauda municipality. In: Joshi A (ed) Katmandu: United Nations development programme/earthquake risk reduction and recovery preparedness programme for Nepal

  • UNDRO (1979) Natural disasters and vulnerability analysis. Report of expert group meeting, Geneva, Switzerland, 9–12 July 1979

  • UNOCHA (2012) United Nations Office for the coordination of humanitarian affairs. Available at http://www.unocha.org/. Accessed 13 Jul 2012

  • UNOOSA (2011) United Nations office for outer space affairs. Available at http://www.oosa.unvienna.org/. Accessed 17 Oct 2011

  • UNOSAT (2011) Unitar’s operational satellite applications programme. Available at http://www.unitar.org/unosat/. Accessed 19 Sep 2011

  • UR (2012) Understanding risk—innovation in disaster risk assessment. Available at http://www.understandrisk.org/ur/node/4889. Accessed 17 Oct 2011

  • USGS (2011) Earthquakes with 1,000 or more deaths since 1900. Available at http://earthquake.usgs.gov/earthquakes/world/world_deaths.php. Accessed 21 Sep 2011

  • Ushahidi (2012) Ushahidi platform for information collection, visualization and interactive mapping. Available at http://ushahidi.com/index.php/products/ushahidi-platform. Accessed 12 Jul 2012

  • van den Broek B, Kiefl R, Riedlinger T, Scholte K, Granica K, Gutjahr K, Stephenne N, Binet R, de la Cruz A (2009) Rapid mapping and damage assessment. In: Jasani B, Pesaresi M, Schneiderbauer S, Zeug G (eds) Remote sensing from space. Supporting international peace and security. Springer, New York, pp 261–286

    Chapter  Google Scholar 

  • van Dillen S (2004) Different choices: assessing vulnerability in South Indian village. Studien zur geographischen Entwicklungsforschung, Verlag für Entwicklungspolitik, vol 9, Saarbrücken, Germany

  • van Puymbroeck N, Michel R, Binet R, Avouac JP, Taboury J (2000) Measuring earthquakes from optical satellite images. Appl Opt Inf Process 39:1–14

    Google Scholar 

  • VDV (2012) Virtual disaster viewer. Available at http://vdv.mceer.buffalo.edu/vdv/select_event.php. Accessed 21 Sep 2011

  • Verstappen HT (1995) Aerospace technology and natural disaster reduction. Adv Space Res 15(11):3–15

    Article  Google Scholar 

  • Villagrán De Léon JC (2006) Vulnerability: a conceptual and methodological review. SOURCE—studies of the university: research, counsel, education; UNU Institute for Environment and Human Security (4)

  • Voigt S, Kemper T, Riedlinger T, Kiefl R, Scholte K, Mehl H (2007) Satellite image analysis for disaster and crisis-management support. IEEE Trans Geosci Remote Sens 45(6):1520–1528

    Article  Google Scholar 

  • Vrijling JK, van Hengel W, Houben RJ (1995) A framework for risk evaluation. J Hazard Mater 43:245–261

    Article  Google Scholar 

  • Vu TT, Ban Y (2010) Context-based mapping of damaged buildings from high-resolution optical satellite images. Int J Remote Sens 31(13):3411–3425

    Article  Google Scholar 

  • Vu TT, Matsuoka M, Yamazaki F (2004) LiDAR based change detection of buildings in dense urban areas. In: IEEE international geoscience and remote sensing symposium, September 2004, Anchorage, AK, USA, pp 3413–3416

  • Vu TT, Matsuoka M, Yamazaki F (2005) Detection and animation of damage using very high-resolution satellite data following the 2003 Bam, Iran, Earthquake. Earthq Spectra 21:319–327

    Article  Google Scholar 

  • Walker RT (2006) A remote sensing study of active folding and faulting in southern Kerman province, S.E. Iran. J Struct Geol 28:654–668

    Article  Google Scholar 

  • Walton M, Bebbington AJ, Dani AA, deHaan A (2008) Institutional pathways to equity: addressing inequality traps. The World Bank, Washington DC

  • Wang C, Zhang H, Wu F, Zhang B, Tang Y, Wu H, Wen X, Yan D (2009a). Disaster phenomena of Wenchuan earthquake in high resolution airborne synthetic aperture radar images. J Appl Remote Sens 3:031690. doi:10.1117/1.3154558 (26 May 2009)

  • Wang Z, Xu Q, Xu B, Zhang W (2009b) Emergency aero-photo survey after the 5.12 Wenchuan earthquake, China. Sci China Series E Technol Sci 52:835–843

    Google Scholar 

  • Wang FT, Zhou Y, Wang SX, Liu WL, Wei CJ, Han Y (2011) Investigation and assessment of damage in earthquake in Yushu, Qinghai based on multi-spectral remote sensing. Spectros Spectral Anal 31(4):1047–1051

    Google Scholar 

  • WB/UN (2010) Natural hazards, unnatural disasters: the economics of effective prevention. World Bank/United Nations Washington DC

  • Weston J, Ferreira AMG, Funning GJ (2012) Systematic comparisons of earthquake source models determined using InSAR and seismic data. Tectonophysics 532–535:61–81

    Article  Google Scholar 

  • White G, Kates R, Burton I (2001) Knowing better and losing even more: the use of knowledge in hazards management. Environ Hazards 3:81–92

    Article  Google Scholar 

  • White P, Pelling M, Sen K, Seddon D, Russell S, Few R (2005) Disaster risk reduction: a development concern. A scoping study on links between disaster risk reduction, poverty and development. Department for International Development

  • Whitman RV (1973) Damage probability matrices for prototype buildings. Structures Publication. Department of Civil Engineering, Massachusetts Institute of Technology, Boston, Massachusetts, USA

  • Wieland M, Pittore M, Parolai S, Zschau J, Moldobekov B, Begaliev U (2012) Estimating building inventory for rapid seismic vulnerability assessment: towards an integrated approach based on multi-source imaging. Soil Dyn Earthq Eng 36:70–83

    Article  Google Scholar 

  • Wisner B (2004) Assessment of capability and vulnerability. In: Bankoff G, Frerks G, Hilhorst D (eds) Mapping vulnerability. Disasters, development & people. Earthscan, London, pp 183–205

  • Wisner B (2007) Regions at risk or people at risk? Wie natürlich sind “Naturkatastrophen”? Geographische Rundschau 59(10):256–276

    Google Scholar 

  • Wisner B, Blaikie P, Cannon T, Davis I (2003) At risk: natural hazards, people’s vulnerability and disasters, 2nd edn. Routledge, London

  • Wolf S (2011) Vulnerability and risk: comparing assessment approaches. Nat Haz. doi:10.1007/s11069-011-9968-4

  • Wyss M (2004) Real-time prediction of earthquake casualties. In: Malzahn D, Plapp T (eds) Disasters and society—from hazard assessment to risk reduction. Logos Publishers, Conference proceedings, Karlsruhe, Germany, pp 165–173. 26–27 July 2004

  • Wyss M (2012) Mapping seismic risk: the current crisis. In: Taubenböck H, Post J, Strunz G (eds.) Remote Sensing contributing to mapping earthquake vulnerability and effects. Special issue in Natural Hazards (to be published)

  • Wyss M, Wang R, Zschau J, Xia Y (2006) Earthquake loss estimates in near-real time. EOS Trans Am Geophys Union 87(44):477–492

    Article  Google Scholar 

  • Xu W, Dong R, Wang X, Ouyang Z, Li Z, Xiao Y, Zhang J (2009) Impact of China’s May 12 earthquake on Giant Panda habitat in Wenchuan County. J Appl Remote Sens 3:031655. doi:10.1117/1.3153916 (26 May 2009)

  • Yamazaki F, Kouch K (2006) Automated damage detection of buildings from high-resolution satellite images. Paper presented at the First European conference on earthquake engineering and seismology, September 2006, Geneva, Switzerland, pp 3–8

  • Yamazaki F, Matsuoka M (2007) Remote sensing technologies in post-disaster damage assessment. J Earthq Tsunami 1(3):193–210

    Article  Google Scholar 

  • Yang Y, Guo G (2010) Studying the thermal anomaly before the Zhangbei earthquake with MTSAT and meteorological data. Int J Remote Sens 31:2783–2791

    Article  Google Scholar 

  • Yano Y, Yamazaki F (2006) Building damage detection of the 2003 Bam, Iran earthquake using Quickbird images based on object-based classification. In: Proceedings, Asian conference on remote sensing, Ulaanbaatar, Mongolia

  • Yen J-Y, Chen K-S, Chang C-P, Boerner W-M (2008) Evaluation of earthquake potential and surface deformation by differential interferometry. Remote Sens Environ 112:782–795

    Article  Google Scholar 

  • Yodmani S (2001) Disaster risk management and vulnerability reduction: protecting the poor. Paper presented at the Asia Pacific forum on poverty; organized by the Asian Development Bank

  • Yong A, Hough SE, Abrams MJ, Cox HM, Wills CJ, Simila GW (2008a) Site characterization using integrated imaging analysis methods on satellite data of the Islamabad, Pakistan, Region. Bull Seismol Soc Am 98(6):2679–2693

    Article  Google Scholar 

  • Yong A, Hough SE, Abrams MJ, Wills CJ (2008b) Preliminary results for a semi-automated quantification of site effects using geomorphometry and ASTER satellite data for Mozambique, Pakistan, Turkey. J Earth Syst Sci 117(S2):797–808

    Article  Google Scholar 

  • Yu H, Zhao Y, Ma Y, Sun Y, Zhang H, Yang S, Luo Y (2011) A remote sensing-based analysis on the impact of Wenchuan Earthquake on the core value of World Nature Heritage Sichuan Giant Panda Sanctuary. J Mount Sci 8:458–465

    Article  Google Scholar 

  • Yurur MT (2006) The positive temperature anomaly as detected by Landsat TM data in the eastern Marmara Sea (Turkey): possible link with the 1999 Umit earthquake. Int J Remote Sens 27:1205–1218

    Article  Google Scholar 

  • Zeng J, Zhu ZY, Zhang JL, Ouyang TP, Qiu SF, Zou Y, Zeng T (2012) Social vulnerability assessment of natural hazards on county-scale using high spatial resolution satellite imagery: a case study in the Luogang district of Guangzhou, South China. Environ Earth Sci 65:173–182

    Article  Google Scholar 

  • Zhang J, Zhou C, Xu K, Watanabe M (2002) Flood disaster monitoring and evaluation in China. Global Environ Change Part B Environ Haz 4:33–43

    Article  Google Scholar 

  • Zhang K, Ng AHM, Ge L, Dong Y, Rizos C (2010) Multi-path PALSAR interferometric observations of the 2008 magnitude 8.0 Wenchuan earthquake. Int J Remote Sens 31:3449–3463

    Article  Google Scholar 

  • Zschau J, Isikara M, Ergünay O, Yalcin MN, Erdik M (2002) Towards an earthquake early warning system for the megacity Istanbul. In: Zschau J, Küppers A (eds) Early warning systems for natural disaster reduction. Springer, Berlin, pp 433–440

    Google Scholar 

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Acknowledgments

The authors thank Michael Eineder (DLR) for sharing his thoughts about future earthquake hazard-related research and missions, Annette Fröhlich (DLR), Harald Mehl (DLR), Eike-Marie Nolte (KIT) and Juan Carlos Villagrán de Léon (UNOOSA) for sharing their thoughts on the political perspective, Friedemann Wenzel (KIT) for hints regarding especially future scientific and technical issues and Tobia Lakes (HU Berlin) for her comments on the initial manuscript. Furthermore, the authors want to acknowledge Beverly Adams (Guy Carpenter) for the fruitful discussions regarding the applicability of EO data and information related to the insurance industry. The authors also wish to thank the two anonymous reviewers for their constructive comments and suggestions. The research was founded partially by Helmholtz-EOS (Earth Observation System).

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Geiß, C., Taubenböck, H. Remote sensing contributing to assess earthquake risk: from a literature review towards a roadmap. Nat Hazards 68, 7–48 (2013). https://doi.org/10.1007/s11069-012-0322-2

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