• DocumentCode
    3377466
  • Title

    Geodatabase development to support hyperspectral imagery exploitation

  • Author

    Fusina, Robert A. ; Fry, John C. ; Nichols, C. Reid ; Bachmann, Charles M. ; Li, Rong-Rong ; Sellars, Jon ; Parrish, Chris ; Montes, Marcos J. ; Gross, Carl ; White, Stephen A. ; Lee, Krista ; Jones, Christopher A.

  • Author_Institution
    Remote Sensing Div., Naval Res. Lab., Washington, DC, USA
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    4224
  • Lastpage
    4227
  • Abstract
    Geodatabase development for coastal studies conducted by the Naval Research Laboratory (NRL) is essential to support the exploitation of hyperspectral imagery (HSI). NRL has found that the remote sensing and mapping science community benefits from coastal classifications that group coastal types based on similar features. Selected features in project geodatabases relate to significant biological and physical forces that shape the coast. The project geodatabases help researchers understand factors that are necessary for imagery post processing, especially those features having a high degree of temporal and spatial variability. NRL project geodatabases include a hierarchy of environmental factors that extend from shallow water bottom types and beach composition to inland soil and vegetation characteristics. These geodatabases developed by NRL allow researchers to compare features among coast types. The project geodatabases may also be used to enhance littoral data archives that are sparse. This paper highlights geodatabase development for recent remote sensing experiments in barrier island, coral, and mangrove coast types.
  • Keywords
    geophysical image processing; geophysics computing; information services; remote sensing; soil; vegetation; Naval Research Laboratory; barrier island; beach composition; coastal classifications; coral; geodatabases; hyperspectral imagery; imagery post processing; inland soil; littoral data archives; mangrove coast; remote sensing; spatial variability; temporal variability; vegetation characteristics; Hyperspectral imaging; Process control; Reflectivity; Sea measurements; Video recording; coast type; geodatabase; geospatial analysis; ground control; hyperspectral imagery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5654182
  • Filename
    5654182