Skip to main content

Advertisement

Log in

GIS and geomatics for disaster management and emergency relief: a proactive response to natural hazards

  • Original Paper
  • Published:
Applied Geomatics Aims and scope Submit manuscript

Abstract

Geo-information and remote sensing are proper tools to enhance functional strategies for increasing awareness on natural hazard prevention and for supporting research and operational activities devoted to disaster reduction. An improved earth sciences knowledge coupled with geomatics advanced technologies is here proposed with the goal of reducing human, social, economic, and environmental losses due to natural hazards and related disasters. Research activities lead to the collection and evaluation of data from: global and national literature for the definition of predisposing/triggering factors and evolutionary processes of natural instability phenomena (landslides, floods, storms…) and for the analysis of statistical methods for the prediction of natural disasters; local and regional historical, geological, geomorphological studies of mountain territories of Europe and Developing Countries. Geodatabases, remote sensing, and mobile geographic information systems (GIS) applications were developed to perform analysis of: (1) large, climate-related disaster (Hurricane Mitch, Central America; Zambesi Flood, Mozambique), either for early warning or mitigation measures at the national and international scale; (2) distribution on slope instabilities at the regional scale (Landslide Inventory in the Aosta Valley, NW Italy), to activate prevention and recovering measures; (3) geological and geomorphological controlling factors of seismicity, to provide microzonation maps and scenarios for coseismic response of instable zones (Dronero, NW Italian Alps); (4) earthquake effects on ground and infrastructures, in order to register early assessment for awareness situations and for compile damage inventories (2000, 2001, and 2003 Asti-Alessandria seismic events). The research results has been able to substantiate early impact models by structuring geodatabases on natural disasters and to support humanitarian relief and disaster management activities by creating and testing SRG2, a mobile GIS application for field-data collection on natural hazards and risks.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  • Ajmar A, Perez F, Terzo O (2008) WFP spatial data infrastructure (SDI) implementation in support of emergency management—XXI congress of the International Society for Photogrammetry and Remote Sensing

  • Albanese A, Disabato F, Terzo O, Vigna R, Giardino M, Perotti L (2008) A preliminary approach to flood risk mapping and flood forecasting system for the LCDs. International archives of the photogrammetry, remote sensing and spatial information sciences, vol. XXXVII, T. B4, Commission IV; pp 1537–1542, ISSN: 1682–1750

  • Alexander DE (1993) Information technology in real-time for monitoring and managing natural disasters. Progr Phys Geogr 15(3):238–260

    Article  Google Scholar 

  • Antenucci JC, Brown K, Croswell PL, Kevany M (1991) Geographic information systems: a guide to technology. Van Nostrand Reinhold, New York, p 301

    Book  Google Scholar 

  • Arctur D, Zeiler M (2004) designing geodatabases: case studies in GIS data modelling. ESRI press, Redlands, p 408

    Google Scholar 

  • Bhattacharya S, Gwal AK (2005) Observation made by DEMETER micro-satellite for ultra low frequency and extremely low frequency emissions during indonesian earthquake. International union of radio science—proceedings of the XXVIIIth URSI general assembly in New Delhi (October 2005)

  • Brunsden D, Isben ML (1996) The nature, use and problem of historical archives for the temporal occurrence of landslides, with specific reference to the south coast of Britain, Ventnor, Isle of Wight. Geomorphology 15:241–258

    Article  Google Scholar 

  • Clarke S, Geenwald C, Spalding V (2002) Using ArcPad. ESRI, p 296

  • Colesanti C, Wasowski J (2006) Investigating landslides with space-borne synthetic aperture radar (SAR) interferometry. Eng Geol 88:173–199

    Article  Google Scholar 

  • Crespi M, Giardino M, Perotti L (2007) Recent developments in remote sensing for geological risks in mountainous areas. In: Gomarasca A (ed) EARSel workshops in the framework of the 27th EARSel symposium. Bolzano, Italy, 7–9 June 2007, p 205

  • Cruden DM, Varnes DJ (1996) Landslides types and processes. In: Turner AK, Schuster RL (eds.) Landslides: investigation and mitigation. Transportation Research Board Special Report 247. National Academy Press, WA, pp 36–75

  • Dikau R, Cavallin A, Jager S (1996) Databases and GIS for landslide research in Europe. Geomorphology 15:227–239

    Article  Google Scholar 

  • Embleton C (1988) Applied geomorphological mapping: methodology by example. Zeitschrift für Geomorphologie, Supplementbände 68:239

    Google Scholar 

  • Ferretti A, Tamburini A, Bianchi M, Broccolato M, Martelli DC (2009) Exploitation of historical satellite SAR archives for mapping and monitoring landslides at regional and local scale. First landslide forum United Nations University, Tokyo

    Google Scholar 

  • Giardino M, Giordan D, Ambrogio S (2004) GIS technologies for data collection, management and visualization of large slope instabilities: two applications in the Western Italian Alps. Nat Hazards Earth Syst Sci 4:197–211

    Article  Google Scholar 

  • Glass TA (2001) Understanding public response to disasters. Public Health Rep 116(2):69–73

    Article  Google Scholar 

  • Gomarasca MA (2009) Basic of geomatics. Springer, New York, p 697

    Book  Google Scholar 

  • Goodchild MF (2007) Citizens as sensors: web 2.0 and the volunteering of geographic information. GeoFocus (Editorial), 7:8–10

  • Goudie A (2004) Encyclopedia of geomorphology. Routledge, New York, p 1156

    Google Scholar 

  • Grünthal G (ed) (1998) European Macroseismic Scale 1998. Working Group Macroseismic Scale, Cahiers du Centre Européen de Géodynamiqueet de Séismologie, 15, Luxembourg

  • Gruppo di lavoro MS (2008) Indirizzi e criteri per la microzonazione sismica. Conferenza delle Regioni e delle Province autonome—Dipartimento della protezione civile, Roma, Italy, 3 vol. and Dvd

  • Haugerud R, Thoms E (1999) Geologic Data Assistant (GDA): an arcpad extension for geologic mapping. U.S. Geological Survey Open-File Report, pp 06–450

  • Harvard Humanitarian Initiative (2011) Disaster relief 2.0: the future of information sharing in humanitarian emergencies. UN Foundation & Vodafone Foundation Technology Partnership, Washington, D.C

    Google Scholar 

  • Idriss IM, Seed HB (1968) Seismic response of horizontal soil layers. J Soil Mech Found Eng, Proc ASCE 94(4):1003–1031

    Google Scholar 

  • Keefer DK (1984) Landslides caused by earthquakes. Bull Geol Soc Am 95:406–421

    Article  Google Scholar 

  • Luino F, Cirio CG, Biddoccu M, Agangi A, Giulietto W, Godone F, Nigrelli G (2009) Application of a model to the evaluation of flood damage. Geoinformatica 13:339–353

    Article  Google Scholar 

  • McCalpin JP (1996) Paleoseismology. Academic, New York, p 588

    Google Scholar 

  • Osuchowski M, Atkinson R (2008) Connecting diverse landslide inventories for improved information in Australia. Proceedings of the 1st World Landslide Forum, Tokyo, Japan, 18–21 November 2008, pp 455–458

  • Pain C, Paron P, Smith M (2008) Applied geomorphological mapping (AppGeMa): a working group of the International Association of Geomorphologists. Geophys Res Abstr, 10, EGU2008-A-05888

  • Perrone G, Cadoppi P, Giardino M, Conte R (2008) La cartografia geologica finalizzata agli studi di microzonazione sismica in ambito alpino: gli esempi di Susa (To) e Dronero (Cn). Rendiconti online della Società Geologica Italiana 3:633–634

    Google Scholar 

  • Perotti L (2002) Elaborazione di immagini da satellite per lo studio geologico-ambientale del bacino del Rio Matanzas (Valle del Polochic—Guatemala), M.Sc. thesis,Universityof Torino, Italy, p 173

  • Perucca LP, Moreiras SM (2006) Liquefaction phenomena associated with historical earthquakes in San Juan and Mendoza Provinces, Argentina. Quaternary Int 158:96–109

    Article  Google Scholar 

  • Quarantelli EL (ed) (1998) What is a disaster? Perspectives on the question. Routledge, London

    Google Scholar 

  • Ratto S, Bonetto F (2003) The October 2000 flood in Valle d’Aosta (Italy): event description and land planning measures for the risk mitigation. JRBM 2:105–116

    Google Scholar 

  • Rietjens SJH, Verlaan K, Brocades Zaalberg TW, de Boer SJ (2009) Inter-organisational communication in civil–military cooperation during complex emergencies: a case study in Afghanistan. Disasters 33(3):412–435

    Article  Google Scholar 

  • Salvati P, Balducci V, Bianchi C, Guzzetti F, Tonelli G (2009) A WebGIS for the dissemination of information on historical landslides and floods in Umbria, Italy. Geoinformatica 13:339–353

    Article  Google Scholar 

  • Schwarz DP, Coppersmith KJ (1984) Fault behaviour and characteristic earthquakes: examples from the Wasatch and san Andreas faults. J Geophys Res 89:5681–5698

    Article  Google Scholar 

  • Trigila A, Iadanza C, Spizzichino D (2008) IFFI Project (Italian Landslide Inventory) and risk assessment. Proceedings of the 1st World Landslide Forum, Tokyo, Japan, 18–21 November 2008, pp 603–606

  • UN/ISDR (2004) Living with risk: a global review of disaster reduction initiatives,vol 1. United Nations International Strategy for Disaster Reduction, Geneva

    Google Scholar 

  • UN/ISDR (2005) Hyogo framework for action 2005–2015: building the resilience of nations and communities to disasters (HFA). United Nations International Strategy for Disaster Reduction, Kobe

    Google Scholar 

  • UN/OCHA (2008) United Nations civil-military coordination officer field handbook. United Nations Office for the Coordination of Humanitarian Affairs, Geneva

    Google Scholar 

  • UN/OCHA (2009) Human security in theory and practice. United Nations Office for the Coordination of Humanitarian Affairs, New York

    Google Scholar 

  • UNGIWG (2007a) Strategy for developing and implementing a United Nations Spatial Data Infrastructure in support of Humanitarian Response, Economic Development, Environmental Protection, Peace and Safety. http://www.ungiwg.org/docs/unsdi/UNSDI_Strategy_Implementation_Paper.pdf. Accessed 24 Dec 2009

  • UNGIWG (2007b) UNSDI COMPENDIUM. A UNSDI vision, implementation strategy and reference architecture. http://www.ungiwg.org/docs/unsdi/UNSDI_Compendium_13_02_2007.pdf. Accessed 24 Dec 2009

  • USAID (2002) Disaster reduction: a practitioner’s guide. United States Agency for International Development, Washington

    Google Scholar 

  • Verjee F (2005) The application of geomatics in complex humanitarian emergencies. J Huma Assist. http://sites.tufts.edu/jha/archives/45

  • vonLubitz DKJE, Beakley JE, Patricelli F (2008) “All hazards approach” to disaster management: the role of information and knowledge management, Boyd’s OODA Loop, and network-centricity. Disasters 32(4):561–585

    Article  Google Scholar 

  • Walsh G, Reddy J, Armstrong T (2000) Geologic mapping and collection of geologic structure data with a GPS receiver and a Personal Digital Assistance (PDA) computer. U.S. Geological Survey Open-File Report, pp 00–346

  • WP/WLI (UNESCO Working Party on World Landslide Inventory) (1990) A suggested method for reporting a landslide. IAEG Bull 41:5–12

    Google Scholar 

  • WP/WLI (UNESCO Working Party on World Landslide Inventory) (1991) A suggested method for a landslide summary. IAEG Bull 43(101):110

    Google Scholar 

  • WP/WLI (UNESCO Working Party on World Landslide Inventory) (1993) A suggested method for describing the activity of a landslide. IAEG Bull 47(53):57

    Google Scholar 

  • WP/WLI (UNESCO Working Party on World Landslide Inventory) (1994) A suggested method for reporting landslides causes. IAEG Bull 50(71):74

    Google Scholar 

  • WP/WLI (UNESCO Working Party on World Landslide Inventory) (1995) A suggested method for describing the rate of movement of a landslide. IAEG Bull 52(75):78

    Google Scholar 

  • Yeats RS, Sieh K, Allen CR (1997) The geology of earthquakes. Oxford University Press, New York, p 568

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Giardino.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Giardino, M., Perotti, L., Lanfranco, M. et al. GIS and geomatics for disaster management and emergency relief: a proactive response to natural hazards. Appl Geomat 4, 33–46 (2012). https://doi.org/10.1007/s12518-011-0071-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12518-011-0071-z

Keywords

Navigation