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Volumn 87, Issue 1, 2017, Pages 103-120

Rapid flood inundation mapping using social media, remote sensing and topographic data

Author keywords

Data conflation; Data fusion; Data integration; Flood mapping

Indexed keywords

AIRBORNE SENSING; FLOOD; FLOODING; MAPPING; MOBILE PHONE; REMOTE SENSING; SOCIAL MEDIA; TOPOGRAPHY;

EID: 85010711352     PISSN: 0921030X     EISSN: 15730840     Source Type: Journal    
DOI: 10.1007/s11069-017-2755-0     Document Type: Article
Times cited : (192)

References (53)
  • 1
    • 20944443891 scopus 로고    scopus 로고
    • Conditional independence test for weights-of-evidence modeling
    • Agterberg F, Cheng Q (2002) Conditional independence test for weights-of-evidence modeling. Nat Resour Res 11:3–9. doi:10.1023/A:1021193827501
    • (2002) Nat Resour Res , vol.11 , pp. 3-9
    • Agterberg, F.1    Cheng, Q.2
  • 2
    • 84930039252 scopus 로고    scopus 로고
    • A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management
    • Albuquerque JP, Herfort B, Brenning A, Zipf A (2015) A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management. Int J Geogr Inf Sci. doi:10.1080/13658816.2014.996567
    • (2015) Int J Geogr Inf Sci
    • Albuquerque, J.P.1    Herfort, B.2    Brenning, A.3    Zipf, A.4
  • 3
    • 61749104063 scopus 로고    scopus 로고
    • Flood risk analyses—how detailed do we need to be?
    • Apel H, Aronica GT, Kreibich H, Thieken AH (2009) Flood risk analyses—how detailed do we need to be? Nat Hazards 49:79–98. doi:10.1007/s11069-008-9277-8
    • (2009) Nat Hazards , vol.49 , pp. 79-98
    • Apel, H.1    Aronica, G.T.2    Kreibich, H.3    Thieken, A.H.4
  • 4
    • 84856005946 scopus 로고    scopus 로고
    • Crowdsourcing earthquake damage assessment using remote sensing imagery
    • Barrington L, Ghosh S, Greene M et al (2011) Crowdsourcing earthquake damage assessment using remote sensing imagery. Ann Geophys. doi:10.4401/ag-5324
    • (2011) Ann Geophys
    • Barrington, L.1    Ghosh, S.2    Greene, M.3
  • 6
    • 0029659966 scopus 로고    scopus 로고
    • Image-based atmospheric corrections—revisited and improved
    • Chavez PS Jr (1996) Image-based atmospheric corrections—revisited and improved. Photogramm Eng Remote Sens 62:1025–1036
    • (1996) Photogramm Eng Remote Sens , vol.62 , pp. 1025-1036
    • Chavez, P.S.1
  • 7
    • 84870822749 scopus 로고    scopus 로고
    • Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling-Narayanghat road section in Nepal Himalaya
    • Devkota KC, Regmi AD, Pourghasemi HR et al (2013) Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling-Narayanghat road section in Nepal Himalaya. Nat Hazards 65:135–165. doi:10.1007/s11069-012-0347-6
    • (2013) Nat Hazards , vol.65 , pp. 135-165
    • Devkota, K.C.1    Regmi, A.D.2    Pourghasemi, H.R.3
  • 8
    • 33746164335 scopus 로고    scopus 로고
    • Mapping the probability of large fire occurrence in northern Arizona, USA
    • Dickson BG, Prather JW, Xu Y et al (2006) Mapping the probability of large fire occurrence in northern Arizona, USA. Landsc Ecol 21:747–761. doi:10.1007/s10980-005-5475-x
    • (2006) Landsc Ecol , vol.21 , pp. 747-761
    • Dickson, B.G.1    Prather, J.W.2    Xu, Y.3
  • 9
    • 85017701507 scopus 로고    scopus 로고
    • LIDAR composite DTM-2m
    • Environment Agency (2015) LIDAR composite DTM-2m. https://data.gov.uk/dataset/lidar-composite-dtm-2m1
    • (2015) Environment Agency
  • 10
    • 85017701118 scopus 로고    scopus 로고
    • Envrionment Agency Accessed 11 Sep 2015
    • Envrionment Agency (2015) Oxford and Abingdon: reducing flood risk. https://www.gov.uk/government/publications/oxford-flood-risk-management-scheme/oxford-and-abingdon-reducing-flood-risk. Accessed 11 Sep 2015
    • (2015) Oxford and Abingdon: reducing flood risk.
  • 12
    • 85017716834 scopus 로고    scopus 로고
    • GeoTag-X Accessed 22 Sep 2015
    • GeoTag-X (2015) GeoTag-X disaster mapping. http://www.geotagx.org/. Accessed 22 Sep 2015
    • (2015) GeoTag-X disaster mapping.
  • 13
    • 80055096221 scopus 로고    scopus 로고
    • Crowdsourcing for rapid damage assessment: the global earth observation catastrophe assessment network (GEO-CAN)
    • Ghosh S, Huyck CK, Greene M et al (2011) Crowdsourcing for rapid damage assessment: the global earth observation catastrophe assessment network (GEO-CAN). Earthq Spectra. doi:10.1193/1.3636416
    • (2011) Earthq Spectra
    • Ghosh, S.1    Huyck, C.K.2    Greene, M.3
  • 14
    • 36749037169 scopus 로고    scopus 로고
    • Citizens as sensors: the world of volunteered geography
    • Goodchild MF (2007) Citizens as sensors: the world of volunteered geography. GeoJournal 69:211–221. doi:10.1007/s10708-007-9111-y
    • (2007) GeoJournal , vol.69 , pp. 211-221
    • Goodchild, M.F.1
  • 15
    • 79952329599 scopus 로고    scopus 로고
    • Crowdsourcing geographic information for disaster response: a research frontier
    • Goodchild MF, Glennon JA (2010) Crowdsourcing geographic information for disaster response: a research frontier. Int J Digit Earth. doi:10.1080/17538941003759255
    • (2010) Int J Digit Earth
    • Goodchild, M.F.1    Glennon, J.A.2
  • 16
    • 84864298673 scopus 로고    scopus 로고
    • Assuring the quality of volunteered geographic information
    • Goodchild MF, Li L (2012) Assuring the quality of volunteered geographic information. Spat Stat 1:110–120. doi:10.1016/j.spasta.2012.03.002
    • (2012) Spat Stat , vol.1 , pp. 110-120
    • Goodchild, M.F.1    Li, L.2
  • 17
    • 84959575114 scopus 로고    scopus 로고
    • Emergency management perspectives on volunteered geographic information: opportunities, challenges and change
    • Haworth B (2016) Emergency management perspectives on volunteered geographic information: opportunities, challenges and change. Comput Environ Urban Syst 57:189–198. doi:10.1016/j.compenvurbsys.2016.02.009
    • (2016) Comput Environ Urban Syst , vol.57 , pp. 189-198
    • Haworth, B.1
  • 18
    • 84955258182 scopus 로고    scopus 로고
    • Methods for assessing the credibility of volunteered geographic information in flood response: a case study in Brisbane, Australia
    • Hung K-C, Kalantari M, Rajabifard A (2016) Methods for assessing the credibility of volunteered geographic information in flood response: a case study in Brisbane, Australia. Appl Geogr 68:37–47. doi:10.1016/j.apgeog.2016.01.005
    • (2016) Appl Geogr , vol.68 , pp. 37-47
    • Hung, K.-C.1    Kalantari, M.2    Rajabifard, A.3
  • 19
    • 33846831014 scopus 로고    scopus 로고
    • International Charter
    • International Charter (2000) Space and major disasters. http://www.disasterscharter.org
    • (2000) Space and major disasters
  • 20
    • 84986889043 scopus 로고    scopus 로고
    • An automated method for extracting rivers and lakes from landsat imagery
    • Jiang H, Feng M, Zhu Y et al (2014) An automated method for extracting rivers and lakes from landsat imagery. Remote Sens 6:5067–5089. doi:10.3390/rs6065067
    • (2014) Remote Sens , vol.6 , pp. 5067-5089
    • Jiang, H.1    Feng, M.2    Zhu, Y.3
  • 21
    • 84873849635 scopus 로고    scopus 로고
    • Collaborative damage mapping for emergency response: the role of cognitive systems engineering
    • Kerle N, Hoffman RR (2013) Collaborative damage mapping for emergency response: the role of cognitive systems engineering. Nat Hazards Earth Syst Sci 13:97–113. doi:10.5194/nhess-13-97-2013
    • (2013) Nat Hazards Earth Syst Sci , vol.13 , pp. 97-113
    • Kerle, N.1    Hoffman, R.R.2
  • 22
    • 84993868253 scopus 로고    scopus 로고
    • Crowd-sourced data for flood hydrology: feedback from recent citizen science projects in Argentina, France and New Zealand
    • Le Coz J, Patalano A, Collins D et al (2016) Crowd-sourced data for flood hydrology: feedback from recent citizen science projects in Argentina, France and New Zealand. J Hydrol 541:766–777. doi:10.1016/j.jhydrol.2016.07.036
    • (2016) J Hydrol , vol.541 , pp. 766-777
    • Le Coz, J.1    Patalano, A.2    Collins, D.3
  • 23
    • 84994343806 scopus 로고    scopus 로고
    • On data quality assurance and conflation entanglement in crowdsourcing for environmental studies
    • Leibovici DG, Evans B, Hodges C et al (2015) On data quality assurance and conflation entanglement in crowdsourcing for environmental studies. ISPRS Ann Photogramm Remote Sens Spat Inf Sci 1:195–202
    • (2015) ISPRS Ann Photogramm Remote Sens Spat Inf Sci , vol.1 , pp. 195-202
    • Leibovici, D.G.1    Evans, B.2    Hodges, C.3
  • 24
    • 84901504726 scopus 로고    scopus 로고
    • A comparison of land surface water mapping using the normalized difference water index from TM, ETM+ and ALI
    • Li W, Du Z, Ling F et al (2013) A comparison of land surface water mapping using the normalized difference water index from TM, ETM+ and ALI. Remote Sens 5:5530–5549. doi:10.3390/rs5115530
    • (2013) Remote Sens , vol.5 , pp. 5530-5549
    • Li, W.1    Du, Z.2    Ling, F.3
  • 25
    • 84923919832 scopus 로고    scopus 로고
    • Developing an effective 2-D urban flood inundation model for city emergency management based on cellular automata
    • Liu L, Liu Y, Wang X et al (2015) Developing an effective 2-D urban flood inundation model for city emergency management based on cellular automata. Nat Hazards Earth Syst Sci 15:381–391. doi:10.5194/nhess-15-381-2015
    • (2015) Nat Hazards Earth Syst Sci , vol.15 , pp. 381-391
    • Liu, L.1    Liu, Y.2    Wang, X.3
  • 26
    • 84856959279 scopus 로고    scopus 로고
    • Groundwater flooding within an urbanised flood plain
    • Macdonald D, Dixon A, Newell A, Hallaways A (2012) Groundwater flooding within an urbanised flood plain. J Flood Risk Manag 5:68–80. doi:10.1111/j.1753-318X.2011.01127.x
    • (2012) J Flood Risk Manag , vol.5 , pp. 68-80
    • Macdonald, D.1    Dixon, A.2    Newell, A.3    Hallaways, A.4
  • 27
    • 76249118908 scopus 로고    scopus 로고
    • Flood detection in urban areas using TerraSAR-X
    • Mason DC, Speck R, Devereux B et al (2010) Flood detection in urban areas using TerraSAR-X. IEEE Trans Geosci Remote Sens 48:882–894. doi:10.1109/TGRS.2009.2029236
    • (2010) IEEE Trans Geosci Remote Sens , vol.48 , pp. 882-894
    • Mason, D.C.1    Speck, R.2    Devereux, B.3
  • 28
    • 79952131805 scopus 로고    scopus 로고
    • Towards an automated SAR-based flood monitoring system: lessons learned from two case studies
    • Matgen P, Hostache R, Schumann G et al (2011) Towards an automated SAR-based flood monitoring system: lessons learned from two case studies. Phys Chem Earth Parts A/B/C 36:241–252. doi:10.1016/j.pce.2010.12.009
    • (2011) Phys Chem Earth Parts A/B/C , vol.36 , pp. 241-252
    • Matgen, P.1    Hostache, R.2    Schumann, G.3
  • 29
    • 0030136491 scopus 로고    scopus 로고
    • The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features
    • McFeeters SK (1996) The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. Int J Remote Sens 17:1425–1432. doi:10.1080/01431169608948714
    • (1996) Int J Remote Sens , vol.17 , pp. 1425-1432
    • McFeeters, S.K.1
  • 31
    • 77955843196 scopus 로고    scopus 로고
    • Assessment of ground subsidence using GIS and the weights-of-evidence model
    • Oh HJ, Lee S (2010) Assessment of ground subsidence using GIS and the weights-of-evidence model. Eng Geol 115:36–48. doi:10.1016/j.enggeo.2010.06.015
    • (2010) Eng Geol , vol.115 , pp. 36-48
    • Oh, H.J.1    Lee, S.2
  • 32
    • 0018306059 scopus 로고
    • A threshold selection method from gray-level histograms
    • Otsu N (1979) A threshold selection method from gray-level histograms. Syst Man Cybern IEEE Trans 9:62–66. doi:10.1109/TSMC.1979.4310076
    • (1979) Syst Man Cybern IEEE Trans , vol.9 , pp. 62-66
    • Otsu, N.1
  • 33
    • 84943256011 scopus 로고    scopus 로고
    • Triangulating social multimedia content for event localization using Flickr and Twitter
    • Panteras G, Wise S, Lu X et al (2014) Triangulating social multimedia content for event localization using Flickr and Twitter. Trans GIS 19:694–715. doi:10.1111/tgis.12122
    • (2014) Trans GIS , vol.19 , pp. 694-715
    • Panteras, G.1    Wise, S.2    Lu, X.3
  • 34
    • 48749085864 scopus 로고    scopus 로고
    • Integrating physical and topographic information into a fuzzy scheme to map flooded area by SAR
    • Pierdicca N, Chini M, Pulvirenti L, Macina F (2008) Integrating physical and topographic information into a fuzzy scheme to map flooded area by SAR. Sensors 8:4151–4164. doi:10.3390/s8074151
    • (2008) Sensors , vol.8 , pp. 4151-4164
    • Pierdicca, N.1    Chini, M.2    Pulvirenti, L.3    Macina, F.4
  • 35
    • 79957518865 scopus 로고    scopus 로고
    • Volunteered geographic information for disaster management with application to rapid flood damage estimation
    • Poser K, Dransch D (2010) Volunteered geographic information for disaster management with application to rapid flood damage estimation. Geomatica 64:89–98
    • (2010) Geomatica , vol.64 , pp. 89-98
    • Poser, K.1    Dransch, D.2
  • 37
    • 79958714460 scopus 로고    scopus 로고
    • Weights-of-evidence model applied to landslide susceptibility mapping in a tropical hilly area
    • Pradhan B, Oh H-J, Buchroithner M (2010) Weights-of-evidence model applied to landslide susceptibility mapping in a tropical hilly area. Geomat Nat Hazards Risk 1:199–223. doi:10.1080/19475705.2010.498151
    • (2010) Geomat Nat Hazards Risk , vol.1 , pp. 199-223
    • Pradhan, B.1    Oh, H.-J.2    Buchroithner, M.3
  • 38
    • 73549121067 scopus 로고    scopus 로고
    • Modeling susceptibility to landslides using the weight of evidence approach: western Colorado, USA
    • Regmi NR, Giardino JR, Vitek JD (2010) Modeling susceptibility to landslides using the weight of evidence approach: western Colorado, USA. Geomorphology 115:172–187. doi:10.1016/j.geomorph.2009.10.002
    • (2010) Geomorphology , vol.115 , pp. 172-187
    • Regmi, N.R.1    Giardino, J.R.2    Vitek, J.D.3
  • 39
    • 84879244679 scopus 로고    scopus 로고
    • Improving remote sensing flood assessment using volunteered geographical data
    • Schnebele E, Cervone G (2013) Improving remote sensing flood assessment using volunteered geographical data. Nat Hazards Earth Syst Sci 13:669–677. doi:10.5194/nhess-13-669-2013
    • (2013) Nat Hazards Earth Syst Sci , vol.13 , pp. 669-677
    • Schnebele, E.1    Cervone, G.2
  • 40
    • 84894846175 scopus 로고    scopus 로고
    • Real time estimation of the calgary floods using limited remote sensing data
    • Schnebele E, Cervone G, Kumar S, Waters N (2014a) Real time estimation of the calgary floods using limited remote sensing data. Water 6:381–398. doi:10.3390/w6020381
    • (2014) Water , vol.6 , pp. 381-398
    • Schnebele, E.1    Cervone, G.2    Kumar, S.3    Waters, N.4
  • 41
    • 84899520689 scopus 로고    scopus 로고
    • Road assessment after flood events using non-authoritative data
    • Schnebele E, Cervone G, Waters N (2014b) Road assessment after flood events using non-authoritative data. Nat Hazards Earth Syst Sci 14:1007–1015. doi:10.5194/nhess-14-1007-2014
    • (2014) Nat Hazards Earth Syst Sci , vol.14 , pp. 1007-1015
    • Schnebele, E.1    Cervone, G.2    Waters, N.3
  • 44
    • 84901271516 scopus 로고    scopus 로고
    • Slingo J, Belcher S, Scaife A et al
    • Slingo J, Belcher S, Scaife A et al (2014) The recent storms and floods in the UK. http://www.metoffice.gov.uk/media/pdf/1/2/Recent_Storms_Briefing_Final_SLR_20140211.pdf
    • (2014) The recent storms and floods in the UK.
  • 45
    • 85028405958 scopus 로고    scopus 로고
    • Assessing the utility of social media as a data source for flood risk management using a real-time modelling framework
    • Smith L, Liang Q, James P, Lin W (2015) Assessing the utility of social media as a data source for flood risk management using a real-time modelling framework. J Flood Risk Manag. doi:10.1111/jfr3.12154
    • (2015) J Flood Risk Manag
    • Smith, L.1    Liang, Q.2    James, P.3    Lin, W.4
  • 46
    • 78349306330 scopus 로고    scopus 로고
    • Spatial agreement of predicted patterns in landslide susceptibility maps
    • Sterlacchini S, Ballabio C, Blahut J et al (2011) Spatial agreement of predicted patterns in landslide susceptibility maps. Geomorphology 125:51–61. doi:10.1016/j.geomorph.2010.09.004
    • (2011) Geomorphology , vol.125 , pp. 51-61
    • Sterlacchini, S.1    Ballabio, C.2    Blahut, J.3
  • 47
    • 84920258599 scopus 로고    scopus 로고
    • Flood susceptibility mapping using integrated bivariate and multivariate statistical models
    • Tehrany MS, Lee M-J, Pradhan B et al (2014a) Flood susceptibility mapping using integrated bivariate and multivariate statistical models. Environ Earth Sci 72:4001–4015. doi:10.1007/s12665-014-3289-3
    • (2014) Environ Earth Sci , vol.72 , pp. 4001-4015
    • Tehrany, M.S.1    Lee, M.-J.2    Pradhan, B.3
  • 48
    • 84897880041 scopus 로고    scopus 로고
    • Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS
    • Tehrany MS, Pradhan B, Jebur MN (2014b) Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS. J Hydrol 512:332–343. doi:10.1016/j.jhydrol.2014.03.008
    • (2014) J Hydrol , vol.512 , pp. 332-343
    • Tehrany, M.S.1    Pradhan, B.2    Jebur, M.N.3
  • 49
    • 84916631629 scopus 로고    scopus 로고
    • Geographies of UK flooding in 2013/4
    • Thorne C (2014) Geographies of UK flooding in 2013/4. Geogr J 180:297–309. doi:10.1111/geoj.12122
    • (2014) Geogr J , vol.180 , pp. 297-309
    • Thorne, C.1
  • 50
    • 0001569963 scopus 로고
    • Cumulative viewshed analysis: a GIS-based method for investigating intervisibility, and its archaeological application
    • Lock G, Stančič Z, (eds), Taylor & Francis, London
    • Wheatley D (1995) Cumulative viewshed analysis: a GIS-based method for investigating intervisibility, and its archaeological application. In: Lock G, Stančič Z (eds) Archaeology and geographic information systems: a european perspective. Taylor & Francis, London, pp 171–185
    • (1995) Archaeology and geographic information systems: a european perspective , pp. 171-185
    • Wheatley, D.1
  • 51
    • 84947025932 scopus 로고    scopus 로고
    • Understanding social media data for disaster management
    • Xiao Y, Huang Q, Wu K (2015) Understanding social media data for disaster management. Nat Hazards 79:1663–1679. doi:10.1007/s11069-015-1918-0
    • (2015) Nat Hazards , vol.79 , pp. 1663-1679
    • Xiao, Y.1    Huang, Q.2    Wu, K.3
  • 52
    • 33747136902 scopus 로고    scopus 로고
    • Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery
    • Xu H (2006) Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int J Remote Sens 27:3025–3033. doi:10.1080/01431160600589179
    • (2006) Int J Remote Sens , vol.27 , pp. 3025-3033
    • Xu, H.1
  • 53
    • 79953892152 scopus 로고    scopus 로고
    • Volunteered geographic information and crowdsourcing disaster relief: a case study of the Haitian earthquake
    • Zook M, Graham M, Shelton T, Gorman S (2010) Volunteered geographic information and crowdsourcing disaster relief: a case study of the Haitian earthquake. World Med Heal Policy 2:6–32. doi:10.2202/1948-4682.1069
    • (2010) World Med Heal Policy , vol.2 , pp. 6-32
    • Zook, M.1    Graham, M.2    Shelton, T.3    Gorman, S.4


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