Conducting disaster damage assessments with Spatial Video, experts, and citizens

Applied Geography

Volumn 52, Issue , 2014, Pages 46-54

  Lue, Evan ^a   Wilson, John P ^a   Curtis, Andrew ^b  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b KENT STATE UNIVERSITY   (United States)

Author keywords

Disaster damage assessment; Expert and inexperienced assessors; Spatial Video

Indexed keywords

DATA ACQUISITION; DISASTER MANAGEMENT; DISASTER RELIEF; EXPERT SYSTEM; FUTURE PROSPECT; GIS; GPS; IMAGE ANALYSIS; MAPPING; TECHNOLOGY ADOPTION; TECHNOLOGY DIFFUSION; VIDEOGRAPHY;

UNITED STATES;

EID: 84901326848     PISSN: 01436228     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apgeog.2014.04.014     Document Type: Article

References (27)

1. Alonso O. Implementing crowdsourcing-based relevance experimentation: an industrial perspective. Information Retrieval 2012, 16:101-120.
2. American Red Cross On-Site Detailed Damage Assessment Worksheet (Street Sheet) 2003, American Red Cross, Washington DC.
3. Barrington L., Ghosh S., Greene M., Har-Noy S., Berger J., Gill S., et al. Crowdsourcing earthquake damage assessment using remote sensing imagery. Annals of Geophysics 2011, 54:680-687.
4. Batty M., Hudson-Smith A., Milton R., Crooks A. Map mashups, Web 2.0 and the GIS revolution. Annals of GIS 2010, 16:1-13.
5. Crampton J.W. Cartography: Maps 2.0. Progress in Human Geography 2009, 33:91-100.
6. Curtis A., Fagan W.F. Capturing damage assessment with a spatial video: an example of a building and street-scale analysis of tornado-related mortality in Joplin, Missouri, 2011. Annals of the Association of American Geographers 2013, 103:1522-1538.
7. Curtis A., Mills J.W. Spatial video data collection in a post-disaster landscape: the Tuscaloosa Tornado of April 27th 2011. Applied Geography 2012, 32:393-400.
8. Curtis A., Mills J., Blackburn J.K., Pine J.C., Kennedy B. Louisiana State University geographic information system support of Hurricane Katrina recovery operations. International Journal of Mass Emergencies and Disasters 2006, 24:203-221.
9. Curtis A., Mills J.W., Kennedy B., Fotheringham S., McCarthy T. Understanding the geography of post-traumatic stress: an academic justification for using a spatial video acquisition system in the response to Hurricane Katrina. Journal of Contingencies and Crisis Management 2007, 15:208-219.
10. Curtis A., Mills J.W., McCarthy T., Fotheringham A.S., Fagan W.F. Space and time changes in neighborhood recovery after a disaster using a spatial video acquisition system. Geospatial technologies in urban hazard and disaster analysis 2009, 373-392. Springer. P. Showalter, Y. Lu (Eds.).
11. Gao H., Barbier G., Goolsby R. Harnessing the crowdsourcing power of social media for disaster relief. IEEE Intelligent Systems 2011, 26:10-14.
12. Goodchild M. NeoGeography and the nature of geographic expertise. Journal of Location Based Services 2009, 3:82-96.
13. Goodchild M.F., Glennon J.A. Crowdsourcing geographic information for disaster response: a research frontier. International Journal of Digital Earth 2010, 3:231-241.
14. Haklay M., Singleton A., Parker C. Web mapping 2.0: the neogeography of the GeoWeb. Geography Compass 2008, 2:2011-2039.
15. Hall G.B., Chipeniuk R., Feick R.D., Leahy M.G., Deparday V. Community-based production of geographic information using open source software and Web 2.0. International Journal of Geographical Information Science 2010, 24:761-781.
16. Hull I.V.R., Stewart W. Validity of photo-based scenic beauty judgments. Journal of Environmental Psychology 1992, 101-114.
17. Jedlovec G.J., Nair U., Haines S.L. Detection of storm damage tracks with EOS data. Weather and Forecasting 2006, 21:249-267.
18. Joyce K.E., Belliss S.E., Samsonov S.V., McNeill S.J., Glassey P.J. Areview of the status of satellite remote sensing and image processing techniques for mapping natural hazards and disasters. Progress in Physical Geography 2009, 33:183-207.
19. Kerle N., Stekelenburg R., van den Heuvel F., Gorte B. Near-real time post-disaster damage assessment with airborne oblique video data. Geo-information for Disaster Management 2005, 337-353. Berlin. P. van Oosterom, S. Zlatanova, E.M. Fendel (Eds.).
20. Krippendorff K. Content analysis: An introduction to its methodology 2013, SAGE Publications, Thousand Oaks, CA. 3rd ed.
21. Liu S.B., Palen L. The new cartographers: crisis map mashups and the emergence of neogeographic practice. Cartography and Geographic Information Science 2010, 37:69-90.
22. McCarthy T., Farrell R., Curtis A., Fotheringham A.S. Integrated remotely sensed datasets for disaster management. SPIE 7110, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII 2008, U. Michel, D.L. Civco, M. Ehlers, H.J. Kaufmann (Eds.).
23. Mills J.W., Curtis A., Kennedy B., Kennedy S.W., Edwards J.D. Geospatial video for field data collection. Applied Geography 2010, 30:533-547.
24. Montoya L. Geo-data acquisition through mobile GIS and digital video: an urban disaster management perspective. Environmental Modelling & Software 2003, 18:869-876.
25. Roche S., Propeck-Zimmermann E., Mericskay B. GeoWeb and crisis management: issues and perspectives of volunteered geographic information. GeoJournal 2013, 78:21-40.
26. Stewart T., Middleton P., Downton M., Ely D. Judgments of photographs vs. field observations in studies of perception and judgment of the visual environment. Journal of Environmental Psychology 1984, 283-302.
27. Yuan M., Dickens-Micozzi M., Magsig M.A. Analysis of tornado damage tracks from the 3 May tornado outbreak using multispectral satellite imagery. Weather and Forecasting 2002, 17:382-398.