Skip to main content
SpringerLink
Log in

Geospatial Monitoring and Management of Disasters

  • Chapter
  • First Online:
Book cover Globalized Poverty and Environment

  • 1525 Accesses

Abstract

Since time immemorial, natural disasters have continued to plague the history of mankind. They have varied in type, frequency, coverage and severity ranging from earthquakes, landslides, droughts, floods, tornadoes, hurricanes, tsunamis, volcanic eruptions, etc. Over the last century, the frequency, severity and impact of natural disasters has increased substantially. This has been partly attributable to the destruction of the environment and the concomitant climate change paradigm discussed, e.g., in Awange [8] and Awange and Kiema [7]. To enhance the sustainability of Earth, and thereby ensure the very survival of humanity, it has become imperative that natural disasters be continually and systematically monitored. This needs to be undertaken for different natural disasters at various levels ranging from local, regional to global monitoring scales.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://edition.cnn.com/2012/10/29/travel/hurricane-sandy-flight-cancellations/index.html

  2. 2.

    http://www.disasterscharter.org/

  3. 3.

    http://www.un.org/events/unispace3/

  4. 4.

    http://www.disasterscharter.org/web/charter/activate

  5. 5.

    http://www.emdat.net

  6. 6.

    Source: Paroscientific Inc., http://www.paroscientific.com.

  7. 7.

    More on information can be found by visiting http://www.paroscientific.com.

  8. 8.

    see e.g., http://sealevel.jpl.nasa.gov/science/elninopdo/latestdata/.

  9. 9.

    http://en.wikipedia.org/wiki/File:1997_El_Nino_TOPEX.jpg

  10. 10.

    http://en.wikipedia.org/wiki/File:1997_El_Nino_TOPEX.jpg

  11. 11.

    http://www.wmo.int/pages/index-en.html

  12. 12.

    http://www.fews.net/Pages/default.aspx

  13. 13.

    http://www.bom.gov.au/tsunami/about/atws.shtml

  14. 14.

    http://www.gsi.go.jp/ENGLISH/page_e30068.html

  15. 15.

    http://www.gsi.go.jp/ENGLISH/page_e30068.html

  16. 16.

    see e.g., http://www.bom.gov.au/tsunami/about/atws.shtml.

  17. 17.

    see http://www.gtz.de/en/21020.htm.

  18. 18.

    http://www.gdgps.net/products/great-alert.html. Accessed on 21/9/2011.

  19. 19.

    http://www.bom.gov.au/tsunami/about/atws.shtml

  20. 20.

    Interferometric Synthetic Aperture Radar.

  21. 21.

    Differential Synthetic Aperture Radar Interferometry.

References

  1. Adger WN, Huq S, Brown K, Conway D, Hulme M (2003) Adaptation to climate change in the developing world. Prog Dev Stud 3:179–195. doi:10.1191/1464993403ps060oa

    Article  Google Scholar 

  2. Ailamaki A, Faloutsos C, Fischbeck P, Small M, VanBriesen J (2003) An environmental sensor network to determine drinking water quality and security. SIGMOD Record 32(4): 47–52. doi:10.1145/959060.959069

    Google Scholar 

  3. Alexander D (2002) Principles of emergency planning and management. Terra publishing, Harpended. ISBN ISBN 1-903544-10-6

    Google Scholar 

  4. Allenbach B, Andreoli R, Battiston S, Bestault C, Clandillon S, Fellah K, Henry JB, Meyer C, Scius H, Tholey N, Ysou H, de Fraipont P (2005) Rapid EO Disaster Mapping Service: Added Value, Feedback and Perspectives after 4 Years of Charter Actions. In: IGARSS05 Proceedings, pp 4373–4378

    Google Scholar 

  5. Al-Khudhairy DHA, Caravaggi I, Glada S (2005) Structural damage assessments from IKONOS data using change detection, object-oriented segmentation, and classification techniques. Photogram Eng Remote Sens 71:825837

    Google Scholar 

  6. Antonov JI, Levitus S, Boyer TP (2002) Steric sea level variations during 1957–1994: importance of salinity. J Geophys Res (Oceans) 107(C12): 8013. doi:10.1029/2001JC000964

    Google Scholar 

  7. Awange JL, Kiema JBK (2013) Environmental geoinformatics. Monitoring and management, vol. Springer, Berlin

    Google Scholar 

  8. Awange JL (2012) Environmental monitoring using GNSS. Global navigation satellite system. Springer, New York

    Book  Google Scholar 

  9. Awange JL, Ogallo L, Kwang-Ho B, Were P, Omondi P, Omute P, Omulo M (2008) Falling Lake Victoria water levels: is climate a contribution factor? J Clim Change 89:287–297. doi:10.1007/s10584-008-9409-x

    Google Scholar 

  10. Awange JL, Aluoch J, Ogallo L, Omulo M, Omondi P (2007) Frequency and severity of drought in the Lake Victoria region (Kenya) and its effects on food security. Clim Res 33: 135–142. doi:10.3354/cr033135

    Google Scholar 

  11. Awange JL, Fukuda Y (2003) On possible use of GPS-LEO satellite for flood forecasting. In: Accepted to the international civil engineering conference on sustainable development in the 21st century “The Civil Engineer in Development” 12–16 Aug 2003 Nairobi, Kenya

    Google Scholar 

  12. Baker HC, Dodson AH, Penna NT, Higgins M, Offiler D (2001) Ground-based GPS water vapour estimation: Potential for meteorological forecasting. J Atmos Solar Terrestrial Phys 63(12):1305–1314

    Article  CAS  Google Scholar 

  13. Ballesteros, LF (2008) What determines a disaster? 54 Pesos, Sep 2008:54 Pesos 11 Sep 2008. http://54pesos.org/2008/09/11/what-determines-a-disaster/. Accessed on 12/05/2011

  14. Bamber JL, Riva REM, Vermeersen BLA, LeBrocq AM (2009) Reassessment of the potential sea-level rise from a collapse of the West Antarctic ice sheet. Science 324:901–903. doi:10.1126/science.1169335

    Article  CAS  Google Scholar 

  15. Bancroft S (1985) An algebraic solution of the GPS equations. IEEE Trans Aerosp Electron Syst AES-21: 56–59

    Google Scholar 

  16. Bankoff G, Frerks G, Hilhorst D (eds.) (2003) Mapping vulnerability: disasters, development and people. ISBN 1-85383-964-7

    Google Scholar 

  17. Barlow J, Franklin SE (2007) Mapping Hazardous Slope Processes Using Digital Data. In Geomatics solutions for disaster management. Li J, Zlatanova S, Fabbri A (eds) Lecture Notes in Geoinformation and Cartography. Springer, NewYork, pp 74–90

    Google Scholar 

  18. Barlow J, Franklin S, Martin Y (2006) High spatial resolution satellite imagery, DEM derivatives, and image segmentation for the detection of mass wasting processes. Photogram Eng Remote Sens 72(6):687–692

    Google Scholar 

  19. Barrett CB (2002) Food security and food assistance programs. In: Gardner B, Rausser G (eds) Handbook of agricultural economics, vol 2. Elsevier Science, Amsterdam, pp 2103–2190

    Google Scholar 

  20. Becker M, Llowel W, Cazenave A, Güntner A, Crétaux J-F (2010) Recent hydrological behaviour of the East African Great Lakes region inferred from GRACE, satellite altimetry and rainfall observations. C Rendus Geosci 342(3):223–233. doi:10.1016/j.crte.2009.12.010

    Article  Google Scholar 

  21. Bill R (2011) Precise positioning in ad hoc geosensor newtorks. http://www.ikg.uni-hannover.de/geosensor/Lecture/Wednesday/Session1/sess1_bill.pdf. Accessed on 22/01/2011

  22. Bitelli G, Camassi R, Gusella L, Mognol A (2004) Image change detection on urban areas: the earthquake case. Proc ISPRS XXth Congr Istanbul 35(B7): 692–697

    Google Scholar 

  23. Bonner MR, Han D, Nie J, Rogerson P, Vena JE, Freudenheim Jo L (2003) Positional accuracy of geocoded addresses in epidemiologic research. Epidemiology 14:408–412. doi:10.1097/01.EDE.0000073121.63254.c5

    Google Scholar 

  24. Born GH, Parke ME, Axelrad P, Gold KL, Johnson J, Key KW, Kubitschek DG, Christensen EJ (1994) Calibration of the TOPEX altimeter using a GPS buoy. J Geophys Res 99(C12): 24517–24526

    Google Scholar 

  25. Brenner C (2011) Geo sensor networks—when and how? http://dgk.auf.uni-rostock.de/uploads/media/2_2-Brenner.pdf. Accessed on 22/01/2011

  26. Buehler YA, Kellenber TW (2007) Development of processing chains for rapid mapping with satellite data. In: Li J, Zlatanova S, Fabbri A (eds) Geomatics solutions for disaster management. Lecture Notes in Geoinformation and Cartography. Springer, New York, pp 16–36

    Google Scholar 

  27. Chen JL, Wilson CR, Tapley BD, Yang ZL, Niu GY (2009) 2005 drought event in the Amazon River basin as measured by GRACE and estimated by climate models. J Geophys Res 114:B05404. doi:10.1029/2008JB006056

    Article  Google Scholar 

  28. Church JA, Gregory JM, Huybrechts P, Kuhn M, Lambeck K, Nhuan MT, Qin D, Woodworth PL (2001) Changes in Sea Level. In: Houghton JT, Ding Y, Griggs DJ, Noguer M, Van der Linden PJ, Dai X, Maskell K, Johnson CA (eds) Climate change 2001: the scientific basis: contribution of working group I to the third assessment report of the inter-governmental panel on climate change. Cambridge University Press, Cambridge, pp 639–694

    Google Scholar 

  29. Crétaux J-F, Jelinski W, Calmant S, Kouraev A, Vuglinski V, Bergé-Nguyen M, Gennero M-C, Nino F, Cazenave A, Maisongrande P (2011) SOLS: a lake database to monitor in the Near real-time water level and storage variations from remote sensing data. Adv Sp Res 47:1497–1507. doi:10.1016/j.asr.2011.01.004

    Article  Google Scholar 

  30. Crétaux J-F, Leblanc M, Tweed S, Calmant S and Ramillien G (2007) Combining of radar and laser altimetry, MODIS remote sensing and GPS for the monitoring of flood events: application to the flood plain of the Diamantina river. Geophys Res Abs 9: 07496. SRef-ID: 1607–7962/gra/EGU2007-A-07496

    Google Scholar 

  31. Cruden D, Varnes D (1996) Landslide types and processes. In: Turner K, Schuster R (eds) Landslides investigation and mitigation, transportation research board special report 247. National Academy Press, Washington, pp 36–75

    Google Scholar 

  32. Cruz, A, Laneve, G, Cerra, D, Mielewczyk, M, Garcia, MJ, Santilli, G, Cadau, E, Joyanes, G (2007) On the application of nighttime sensors for rapid detection of areas impacted by disasters. In: Li J, Zlatanova S, Fabbri A (eds) Geomatics solutions for disaster management. Lecture Notes in Geoinformation and Cartography. Springer, New York, 16–36.

    Google Scholar 

  33. Dalton R (2007) GPS could offer better fault line mapping. Nature News. doi:10.1038/news070521-9. http://www.nature.com/news/2007/070521/full/news070521-9.html. Accessed on 25/09/2011

  34. Dickey JO, Bentley CR, Bilham R, Carton JA, Eanes RJ, Herring TA, Kaula WM, Lagerloef GSE, Rojstaczer S, Smith WHF, Van Den Dool HM, Wahr JM, Zuber MT (1996) Satellite gravity and the geosphere. National Research Council Report, 112 p, National Acadamy Press, Washington

    Google Scholar 

  35. DMCN (Drought Monitoring Centre Nairobi) (2002) Factoring of weather and climate information and products into disaster management policy. A contribution to strategies for disaster reduction in Kenya, UNDP, Government of Kenya and WMO, Nairobi

    Google Scholar 

  36. Forootan E, Awange J, Kusche J, Heck B (2012) Independent patterns of water mass anomalies over Australia from satellite data and models. Remote Sens Environ 124:427–443. doi:10.1016/j.rse.2012.05.023

    Article  Google Scholar 

  37. Garcia-Garcia D, Ummenhofer CC, Zlotnicki V (2011) Australian water mass variations from GRACE data linked to Indo-Pacific climate variability. Remote Sens Environ 115:2175–2183. doi:10.1016/j.rse.2011.04.007

    Article  Google Scholar 

  38. Geoscience Australia (2008) Need for the geodetic component for absolute sea level monitoring. http://www.ga.gov.au/geodesy/slm/spslcmp/. Accessed on 11/12/2008

  39. Gili JA, Corominas J, Rius J (2000) Using global positioning techniques in landslide monitoring. Eng Geol 155(3):167–192

    Article  Google Scholar 

  40. GITEWS (German Indonesian Tsunami Early Warning System) (2008) A new approach in Tsunami-early warning. Press-Information embargo: 11.11.2008, 10:00 CET. http://www.gitews.de/fileadmin/documents/content/press/GITEWS_operationell_eng_nov-2008.pdf. Accessed on 10/12/2008

  41. Hammond WC, Brooks BA, Bürgmann R, Heaton T, Jackson M, Lowry AR, Anandakrishnan S (2011) Scientific value of real-time global positioning system data. Eos 92(15):125–126. doi:10.1029/2011EO150001

    Article  Google Scholar 

  42. Hasegawa H, Yamazaki F, Matsuoka M, Seikimoto I (2000) Determination of building damage due to earthquakes using aerial television images. In: Proceedings of the 12th world conference on earthquake engineering, Auckland, CDROM, 8p

    Google Scholar 

  43. Hatfield JL, Prueger JH, Kustas WP (2004) Remote sensing of dryland crops. In: Ustin S (ed) Remote sensing for natural resources and environmental monitoring: manual of remote sensing, vol 4, 3rd edn. Wiley, New Jersey, pp 531–568

    Google Scholar 

  44. Hay SI, Lennon JJ (1999) Deriving meteorological variables across Africa for the study and control of vector-borne disease: a comparison of remote sensing and spatial interpolation of climate. Trop Med Int Health 4:58–71

    Article  CAS  Google Scholar 

  45. Helm A, Montenbruck O, Ashjaee J, Yudanov S, Beyerle G, Stosius R, Rothacher M (2007) GORS— a GNSS occultation, reflectometry and scatterometry space receiver. In: Proceedings of the 20th international technical meeting of the satellite division of The Institute of Navigation ION GNSS 2007, Fort Worth, Texas. Sept 25–28:2011–2021

    Google Scholar 

  46. Herbreteau V, Salem G, Souris M (2007) Thirty years of use and improvement of remote sensing applied to epidemiology: from early promises to lasting frustration. Health Place 13:400–403

    Article  Google Scholar 

  47. Hirt C, Gruber T, Featherstone WE (2011) Evaluation of the rst GOCE static gravity eld models using terrestrial gravity, vertical deections and EMG2008 quasigeoid heights. J Geodesy 85:723–740. doi:10.1007/s00190-011-0482-y

    Google Scholar 

  48. Hofman-Wellenhof B, Lichtenegger H, Collins J (2001) Global positioning system: theory and practice, 5th edn. Springer, Wien

    Book  Google Scholar 

  49. Hofman-Wellenhof B, Lichtenegger H, Wasle E (2008) GNSS global navigation satellite system: GPS, GLONASS; Galileo and more. Springer, Wien

    Google Scholar 

  50. Istomina MN, Kocharyan AG, Lebedeva IP (2005) Floods: genesis, socioeconomic and environmental impacts. J Water Resour 32(4):349–358

    Article  CAS  Google Scholar 

  51. James LF, Young JA, Sanders K (2003) A new approach to monitoring rangelands. Arid Land ResManage 17:319–328. doi:10.1080/15324980390225467

    Article  Google Scholar 

  52. Jayaraman V, Chandrasekhar MG, Rao UR (1997) Managing the natural disasters from space technology inputs. Elsevier Science Ltd, Great Britain

    Google Scholar 

  53. Jeyaseelan AT (2003) Droughts and floods assessment and monitoring using remote sensing and GIS. In: Siva Kumar MVK, Roy PS, Harmsen K, Saha SK (eds) Satellite sensing and GIS applications in agricultural meteorology. Proceedings of the Trainging Workshop 7–11 july 2003, Dehra Dun, pp 291–313

    Google Scholar 

  54. Jia M (2005) Crustal deformation from the Sumatra-Andaman Earthquake. Geoscience Australia’s analysis of the largest earthquake since the beginning of modern space geodesy. Ausgeo news, issue 80

    Google Scholar 

  55. Kamik V, Algermissen ST (1978) Seismic Zoning—chapter in the assessment and mitigation of earthquake risk. UNESCO, Paris, pp 1–47

    Google Scholar 

  56. Kelecy TM, Born GH, Parke ME, Rocken C, (1994) Precise mean sea level measuring using global positioning system. J Geophys Res 99(c4): 7951–7959

    Google Scholar 

  57. Khandu, Awange JL, Wickert J, Schmidt T, Shari MA, Heck B, Fleming K (2010) GNSS remote sensing of the Australian tropopause. Clim Change 105(3–4):597–618. doi:10.1007/s10584-010-9894-6

  58. Kouchi K, Yamazaki F, Kohiyama M, Matsuaka M, Muraoka N (2004) Damage detection from Quickbird high-resolution Satellite images for the 2003 Boumerdes. Algeria Earthquake. In: Proceeding of the Asian conference on earthquake engineering, Manila, Philippines, CD-ROM, pp 215–226

    Google Scholar 

  59. Larson KM (2009) GPS seismology. J Geodesy 83:227–233. doi:10.1007/s00190-008-0233-x

    Article  Google Scholar 

  60. Leavitt WM, Kiefer JJ (2006) Infrastructure interdependency and the creation of a normal disaster: the case of Hurricane Katrina and the City of New Orleans. J Public Works Manage Policy 10(4):306–314

    Article  Google Scholar 

  61. Leuliette EW, Nerem RS, Mitchum GT (2004) Calibration of TOPEX/Poseidon and Jason altimeter data to construct a continuous record of mean sea level change. Mar Geodesy 27(1):79–94. doi:10.1080/01490410490465193

    Article  Google Scholar 

  62. Lowe ST, LaBreceque JL, Zuada C, Romans LJ, Young L, Hajj GA (2002) First space borne observations of an earth reected GPS signal. Radio Sci 37(1):1007. doi:10.1029/2000RS002539

    Google Scholar 

  63. Lian M, Warner RD, Alexander JL, Dixon KR (2007) Using geographic information systems and spatial and space-time scan statistics for a population-based risk analysis of the 2002 equine West Nile epidemic in six contiguous regions of Texas. International Journal of Health Geographics 6, 42; available at www.ij-healthgeographics.com/content/6/1/42.

    Google Scholar 

  64. Malamud B, Turcotte D, Guzzetti F, Reichenbach P (2004) Landslide inventories and their statistical properties. Earth Surf Proces Land 29:687–711

    Article  Google Scholar 

  65. Malet JP, Maquaire O, Calais E (2002) The use of global positioning system techniques for the continuous monitoring of landslides: application to the super-sauze earthflow (Alpes-de-Haute-Provence, France). Geomorphol 43(1–2):33–54. doi:10.1016/S0169-555X(01)00098-8

    Article  Google Scholar 

  66. Matsuzaka S (2006) GPS network experience in Japan and its usefulness. In: Seventeenth United Nations Regional Cartographic Conference, Geographical Survey Institute, Bangkok Thailand

    Google Scholar 

  67. McKean J, Buechel S, Gaydos L (1991) Remote sensing and landslide hazard assessment. Photogram Eng Remote Sens 57(9):1185–1193

    Google Scholar 

  68. Mehdi R, Gruen A (2007) Automatic classification of collapsed buildings using object and image space features. In: Li J, Zlatanova S, Fabbri A (eds) Geomatics solutions for disaster management. Lecture Notes in Geoinformation and Cartography. Springer, New York, 135–148

    Google Scholar 

  69. Mitrovica JX, Tamisiea ME, Davis JL, Milne GA (2001) Recent mass balance of polar ice sheets inferred from patterns of global sea-level change. Nature 409:1026–1029. doi:10.1038/35059054

    Article  CAS  Google Scholar 

  70. Mitrovica JX, Gomez N, Clark PU (2009) The sea-level fingerprint of West Antarctic collapse. Science 323(5915):753. doi:10.1126/science.1166510

    Article  CAS  Google Scholar 

  71. Miura H, Midorikawa S (2006) Updating GIS building inventory data using high-resolution satellite images for earthquake damage assessment: application to metro Manila, Philippines. Earthq Spectra 22:151–168

    Article  Google Scholar 

  72. Motagh M, Djamour Y, Walter TR, Wetze H, Zschau J, Arabi S (2007) Land subsidence in Mashhad Valley, northeast Iran: results from InSAR, levelling and GPS. Geophys J Int 168:518–526. doi:10.1111/j.1365-246X.2006.03246.x

    Article  Google Scholar 

  73. Nicholson SE, Davenport ML, Malo AR (1990) A comparison of the vegetation response to rainfall in the Sahel and East Africa, using normalized difference vegetation index from NOAA AVHRR. Clim Change 17(2–3):209–241. doi:10.1007/BF00138369

    Article  Google Scholar 

  74. Nittel S, Labrinidis A, Stefanidis A (eds) (2008) GeoSensor networks. Lecture Notes in Computer Science 4540. Springer, Berlin, pp. 1–6

    Google Scholar 

  75. Nittel S, Stefanidis A, Cruz I, Egenhofer M, Goldin D, Howard A, Labrinidis A, Madden S, Voisard A, Worboys M (2004) Report from the first workshop on Geo Sensor Networks. ACM SIGMOD Record 33(1)

    Google Scholar 

  76. Ogawa N, Yamazaki F (2000) Photo-interpretation of buildings damage due to earthquakes using aerial photographs. In: Proceedings of the 12th world conference on earthquake engineering, Auckland, CD-ROM, 8p

    Google Scholar 

  77. Omute P, Corner R, Awange JL (submitted) NDVI monitoring of Lake Victoria water level and drought. Water Resource Management

    Google Scholar 

  78. Phoon SY, Shamseldin AY, Vairavamoorthy K (2004) Assessing impacts of climate change on Lake Victoria Basin, Africa: people-centred approaches to water and environmental sanitation. In: 30th water engineering and development centre (WEDC) International Conference, Vientiane, Lao PDR, pp 392–397

    Google Scholar 

  79. Poland JF (1984) Guidebook to studies of land subsidence due to water withdrawal. Technical report. UNESCO

    Google Scholar 

  80. Privette JL, Fowler C, Wick GA, Baldwin D, Emery WJ (1995) Effects of orbirtal drift on advanced very high resolution radiometer products: normalized difference vegetation index and sea surface temperature. Remote Sens Environ 53(3):164–171. doi:10.1016/0034-4257(95)00083-D

    Article  Google Scholar 

  81. Pugh D (2004) Changing sea levels. Effect of tides, weather and climate. Cambridge Univeristy Press, Cambridge

    Google Scholar 

  82. Rius A, Aparicio JM, Cardellach E, Martín-Neira M, Chapron B (2002) Sea surface state measured using GPS reflected signals. Geophys Res Lett 29(23):21–22. doi:10.1029/2002GL015524

    Article  Google Scholar 

  83. Rizos C (2001) Alternatives to current GPS-RTK services and some implications for CORS infrastructure and operations. GPS Solution 11(3):151–158

    Article  Google Scholar 

  84. Rocken C, Kelecy TM, Born GH, Young LE, Purcell GH, Wolf SK (1990) Measuring precise sea level from a buoy using the Global Positioning System. Geophys Res Lett 17(12): 2145–2148

    Google Scholar 

  85. Rood K (1984) An aerial photograph inventory of the frequency and yield of mass wasting on the Queen Charlotte Islands. British Columbia, BC Ministry of Forests, Land Management Report 34

    Google Scholar 

  86. Sagiya T (2005) A decade of GEONET: 1994–2003 The continuous GPS observation in Japan and its impact on earthquake studies. Earth Planets Sp 56: 29—xli

    Google Scholar 

  87. Sauchyn D, Trench N (1978) Landsat applied to landslide mapping. Photogram Eng Remote Sens 44:735–741

    Google Scholar 

  88. Schenk A (2006) Interpreting surface displacement in Tehran / Iran region observed by Differential Synthetic Aperture Radar Interferometry (DINSAR). Diplomarbeit, Technische Universität Berlin, Institut für Angewandte Geowissenschaften Fachgebiet Angewandte Geophysik

    Google Scholar 

  89. Scofield RA, Achutuni R (1996) The satellite forecasting funnel approach for predicting flash floods. Remote Sens Rev 14:251–282

    Article  Google Scholar 

  90. Seidel DJ, Randel WJ (2006) Variability and trends in the global tropopause estimated from radiosonde data. J Geophys Res 111. doi:10.1029/2006JD007363

  91. Snay R, Cline M, Dillinger W, Foote R, Hilla S, Kass W, Ray J, Rohde J, Sella G, Soler T (2007) Using global positioning system-derived crustal velocities to estimate rates of absolute sea level change from North American tide gauge records. J Geophys Res 112:B04409. doi:10.1029/2006JB004606

    Article  Google Scholar 

  92. Snay R, Soler T (2008) Continuously operating reference station (CORS): history, applications, and future enhancements. J Surv Eng 134(4):95–104. doi:10.1061/(ASCE)0733-9453(2008) 134:4(95)

    Google Scholar 

  93. Snow (2010) GIS Analyses of Dr. Snow’s Map. http://www.udel.edu/johnmack/frec480/cholera/cholera2.html. Accessed on 02/04/2010

  94. Steede-Terry K (2000) Integrating GIS and the global positioning system. ESRI Press, California

    Google Scholar 

  95. Stefanidis A (2006) The emergence of geoSensor networks. Directions magazine. http://www.directionsmag.com/articles/the-emergence-of-geosensor-networks/123208. Accessed on 22/01/2011

  96. Terhorst A, Moodley D, ISimonis I, Frost P, McFerren G, Roos S, van den Bergh F (2008) Using the sensor web to detect and monitor the spread of vegetation fires in southern Africa. In: Nittel S, Labrinidis A, Stefanidis A (eds) GeoSensor Networks, Lecture Notes in Computer Science 4540. Springer, Berlin, pp 239–251

    Google Scholar 

  97. Titus JG, Park RA, Leatherman S, Weggel R, Greene MS, Treehan M, Brown S, Gaunt C, Yohe G (1991) Greenhouse effect and sea level rise: the cost of holding back the sea. Coast Manage 19:171–204

    Article  Google Scholar 

  98. Trenberth K, Guillemot C (1996) Evaluation of the atmospheric moisture and hydrological cycle in the NCEP Reanalyses. NCAR Technical Note TN-430, December

    Google Scholar 

  99. Trenberth KE (1997) The Definition of El Niño. Bull Am Meteorol Soc 78:2771–2777

    Article  Google Scholar 

  100. 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 

  101. Ummenhofer C, England M, McIntosh P, Meyers G, Pook M, Risbey J, Gupta A, Taschetto A (2009) What causes southeast Australiaś worst droughts? Geophys Res Lett 36:L04706. doi:10.1029/2008GL036801

    Article  Google Scholar 

  102. Uriel K (1998) Landscape ecology and epidemiology of vector-borne diseases: tools for spatial analysis. J Med Entomol 35(4):435–445

    Google Scholar 

  103. US Army Corps of Engineers (2007) NAVSTAR Global Positioning System surveying. Engineering and Design Manual, EM 1110–1-1003

    Google Scholar 

  104. Voigt S, Riedlinger T, Reinartz P, Knzer C, Kiefl R, Kemper T, Mehl H (2005) Experience and perspective of providing satellite based crisis information, emergency mapping and disaster monitoring information to decision makers and relief workers. In: Zlatanova S, van Oosterom P P, Fendel E (eds) Geoinformation for Disaster Management. Springer, Berlin, pp 519–531

    Chapter  Google Scholar 

  105. Warrick RA, Le Provost C, Meier MF, Oerlemans J, Woodworth PL (1996) Changes in sea level. In: Houghton JT, Meira Filho LG, Callander BA, Harris N, Klattenberg A, Maskell K (eds) Climate change 1995, the science of climate change. Cambridge University Press, Cambridge, pp 359–405

    Google Scholar 

  106. Watson C, Coleman R, White N, Church J, Govind R (2003) Absolute calibration of TOPEX/Poseidon and Jason-1 Using GPS buoys in Bass Strait. Australia. Mar Geodesy 26(3–4):285–304. doi:10.1080/01490410390256745

    Article  Google Scholar 

  107. Webster TL, Forbes DL, Dickie S, Shreenan R (2004) Using topographic LiDAR to map flood risk from storm-surge events for Charlottetown, Prince Edward Island, Canada. Can J Remote Sens 30:64–76

    Article  Google Scholar 

  108. Wills C, McCrink T (2002) Comparing landslide inventories: the Map depends on the method. Environ Eng Geosci VIII 4:279–293

    Article  Google Scholar 

  109. Wisner B, Blaikie P, Cannon T, Davis I (2004) At risk—natural hazards, people’s vulnerability and disasters. Routledge, Wiltshire

    Google Scholar 

  110. Worboys M, Duckham M (2006) Monitoring qualitative spatiotemporal change for geosensor networks. Int J Geograph Inf Sci 20(10):1087–1108. doi:10.1080/13658810600852180

    Article  Google Scholar 

  111. Xue Z, Li G, Li Z, Wu X, Wei J (2007) Monitoring Xian Land Subsidence Evolution by Differential SAR Interferometry. In: Li J, Zlatanova S, Fabbri A (eds) Geomatics solutions for disaster management. Lecture Notes in Geoinformation and Cartography. Springer, New York, pp 427–437

    Google Scholar 

  112. Yamaguchi N, Yamazaki F (2001) Estimation of strong motion distribution in the 1995 Kobe earthquake based on building damage data. Earthq Eng Struct Dyn 30(6):787–801

    Article  Google Scholar 

  113. Yamazaki F, Kouchi K, Kohiyama M, Muraoka N, Matsuoka M (2004) Earthquake damage detection using high-resolution satellite images. In: Proceedings of IEEE 200 international geoscience and remote sensing symposium, IEEE, CD-ROM, 4p

    Google Scholar 

  114. Yamazaki F, Yano Y, Matsuoka M (2005) Visual damage interpretation of buildings in Bam City using QuickBird images. Earthquake Spectra 21(1):329–336

    Article  Google Scholar 

  115. Zhang Q, Zhao, C, Ding, X, Peng, J (2007) Monitoring Xian Land Subsidence Evolution by Differential SAR Interferometry. In: Li J, Zlatanova S, Fabbri A (eds) Geomatics solutions for disaster management. Lecture Notes in Geoinformation and Cartography. Springer, New York, pp 91–102

    Google Scholar 

  116. Zhanga J, Zhoub C, Xua K, Watanabe M (2002) Flood disaster monitoring and evaluation in China. Environ Hazards 4:33–43. doi:10.1016/S1464-2867(03)00002-0

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Professor of International Economics, Doshisha University, Karasuma-dori, Kamidachiuri-agaru, Kamigyo-ku, Kyoto, 602-0898, Japan

    Nathaniel O. Agola

  2. Department of Spatial Sciences, Curtin University, Kent Street, Bentley, WA, 6102, Australia

    Joseph L. Awange

  3. Geodetic Institute, Karlsruhe Institute of Technology, Karksruhe, Germany

    Joseph L. Awange

Authors
  1. Nathaniel O. Agola
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Joseph L. Awange
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nathaniel O. Agola .

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Agola, N.O., Awange, J.L. (2014). Geospatial Monitoring and Management of Disasters. In: Globalized Poverty and Environment. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39733-2_16

Download citation

Publish with us

Policies and ethics

Search

Navigation