Satellite Image Processing

  • Markus Neteler
  • Helena Mitasova
Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 689)

Abstract

Remote sensing, as a rapidly improving technology for gathering environmental data using a wide range of satellite platforms, plays a major role in spatio-temporal earth surface monitoring. Throughout this chapter we introduce the basic remote sensing methods and explain their use in GRASS. The tools for image processing and remote sensing applications will be illustrated using a SPOT 1 HRV/PAN image data set available as extension for the Spearfish data set at http://grass.itc.it/data.html or other GRASS web mirror sites.

Keywords

Image Group Ground Control Point Training Area Color Table Thermal Channel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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notes

  1. 1.
    SAR User Guide from Alaska SAR Facility, http://www.asf.alaska.edu/step/ssug/ Remote Sensing Core Curriculum (RSCC), http://www.research.umbc.edu/~tbenjal//~tbenjal/ ISPRS tutorial collection, http://www.isprs.org/links/tutorial.html.
  2. 2.
  3. 3.
  4. 4.
  5. 5.
    NHAP documents, http://www.cr.usgs.gov/glis/hyper/guide/napp
  6. 6.
    Xgobi/Ggobi software, http://www.ggobi.org
  7. 7.
    Atmosphere model 6S (Msix) software, http://www-loa.univ-lillel.fr/informatique/systemgb.html
  8. 8.
    Generating a surface temperature map from LANDSATTM7 channel 6, http://edcdaac.usgs.gov/landsat7/faq_calculations.html
  9. 9.
    Asterweb(ASTER/TERRA), http://asterweb.jpl.nasa.gov

Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • Markus Neteler
    • 1
  • Helena Mitasova
    • 2
  1. 1.Istituto Trentino di Cultura(ITC-irst)Italy
  2. 2.North Carolina State UniversityUSA

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