• DocumentCode
    2226077
  • Title

    Effects of spatial and spectral resolution on remote sensing for disaster response

  • Author

    Kruse, Fred A. ; Clasen, Chris C. ; Kim, Angela M. ; Carlisle, Sarah C.

  • Author_Institution
    Phys. Dept., Naval Postgrad. Sch., Monterey, CA, USA
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    7086
  • Lastpage
    7089
  • Abstract
    Visible and Near-Infrared (VNIR) Multispectral and hyperspectral data are compared for their potential to assist with disaster response and recovery via detailed mapping of the distribution of specific surface materials. Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data at two spatial resolutions are used to assess the effects of spatial resolution on material mapping capabilities. AVIRIS data are also compared to WorldView-2 (WV-2) 8-band multispectral data with similar spatial resolution to determine the effects of spectral resolution. Initial results illustrate that for urban mapping (buildings, roads, other infrastructure), that high spatial resolution is more critical than high spectral resolution. Decreasing spatial or spectral resolution, however, each increases mapping error.
  • Keywords
    disasters; geophysical image processing; remote sensing; terrain mapping; AVIRIS data; Airborne Visible/Infrared Imaging Spectrometer data; WorldView-2 8-band multispectral data; buildings; disaster response; high spatial resolution; high spectral resolution; mapping error; material mapping capabilities; remote sensing; roads; specific surface materials; urban mapping; visible-near-infrared hyperspectral data; visible-near-infrared multispectral data; Hyperspectral imaging; Imaging; Materials; Spatial resolution; Spectroscopy; Spatial and spectral resolution; disaster response; hyperspectral; multispectral; remote sensing; spectral mixture analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352030
  • Filename
    6352030