273
Views
18
CrossRef citations to date
0
Altmetric
Articles

Quantifying the building stock from optical high-resolution satellite imagery for assessing disaster risk

, , , , &
Pages 281-293 | Received 01 Sep 2009, Accepted 01 Dec 2009, Published online: 09 Apr 2010

References

  • Bellhouse , D. R. 1988 . “ Systematic sampling ” . In Handbook of statistics , Edited by: Krisnaiah , P. R. and Rao , C. R. 125 – 146 . North-Holland, Amsterdam : Elsevier-Science .
  • Coburn , A. , Spence , R. and Pomonis , A. 1994 . Vulnerability and risk assessment. Disaster management training programme , 2nd ed , New York : United Nations Development Programme, 69 .
  • Cochran , W. 1977 . Sampling techniques , New York : John Wiley and Sons .
  • Dilley , M. 2005 . Natural disaster hotspots. A global risk analysis. Disaster risk management series no. 5. The World Bank and Columbia University , Washington DC : The World Bank, 140 .
  • EM-DAT . 2008 . The OFDA/CRED international disaster database [online] Université Catholique de Louvain. Brussels, Belgium. Available from: http://www.emdat.be [Accessed 30 July 2007]
  • FEMA . 2003 . Federal emergency management agency HAZUS – MH MR 3. Multi-hazard loss estimation methodology Washington DC
  • Forster , B. C. 1985 . An examination of some problems and solutions in monitoring urban areas from satellite platforms . International Journal of Remote Sensing , 6 : 39 – 151 .
  • Herold , M. , Gardner , M. E. and Roberts , D. A. 2003a . Spectral resolution requirement for mapping urban areas . IEEE Transactions on Geosciences and Remote Sensing , 41 : 1907 – 1919 .
  • Herold , M. , Liu , X. H. and Clarke , K. C. 2003b . Spatial metrics and image texture for mapping urban land use . Photogrammetric Engineering and Remote Sensing , 69 : 1991 – 1001 .
  • Jensen , J. R. and Cowen , D. C. 1999 . Remote sensing of urban/suburban infrastructure and socio-economics attributes . Photogrammetric Engineering and Remote Sensing , 65 : 611 – 622 .
  • Peduzzi , P. , Dao , H. and Herold , C. 2005 . Mapping disastrous natural hazards using global datasets . Natural Hazards , 35 : 265 – 289 .
  • Pesaresi , M. 2000 . Texture analysis for urban patter recognition using fine-resolution panchromatic satellite imagery . Geographical and Environmental Modelling , 4 : 47 – 67 .
  • Pesaresi , M. , Gerhardinger , A. and Kaytakire , F. 2008 . A roboust built-up area presence index by anisotropic rotation-invariant textural measure . IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 3 : 180 – 192 .
  • SOPAC . 2008 . Scripps Orbit and Permanent Array Center [online] Available from: http://sopac.ucsd.edu/cgi-bin/dbDataBySite.cgi [Accessed 30 July 2008]
  • Shlomo , A. , Sheppard , S. C. and Civico , D. L. 2005 . The dynamics of global urban expansion. Transport and urban development department , Washington DC : The World Bank, 199 .
  • Tanaka , S. and Toshiro , S. 2001 . A new frontier of remote sensing from Ikonos images . International Journal of Remote Sensing , 22 : 1 – 5 .
  • UNDRO (United Nations Disaster Relief Coordinator) . Natural Disasters and Vulnerability Analysis in Report of Expert Group Meeting . July 9–12 1979 , Geneva. [online] Available from: http://openlibrary.org/b/OL3839485M/Natural_disasters_and_vulnerability_analysis [Accessed 23 December 2009]
  • Wei , Y. , Zhao , Z. and Song , J. Urban building extraction from high-resolution satellite panchromatic image using clustering and edge detection . 2004 IEEE International Geoscience and Remote Sensing Symposium, IGARSS ′04 Proceedings . pp. 2008 – 2010 .
  • Welch , R. 1982 . Spatial resolution requirements for urban studies . International Journal of Remote Sensing , 3 : 139 – 146 .
  • Zha , Y. , Gao , J. and Ni , S. 2003 . Use of normalized difference built-up index in automatically mapping urban areas from TM imagery . International Journal of Remote Sensing , 24 : 583 – 594 .
  • Zhang , Q. 2002 . Urban built-up land change detection with road density and spectral information from multi-temporal Landsat TM data . International Journal of Remote Sensing , 23 : 3057 – 3078 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.