Processing and Displaying Images in Earth Sciences

Chapter

Abstract

Computer graphics are stored and processed as either vector or raster data. Most of the data types that were encountered in the previous chapter were vector data, i.e., points, lines and polygons. Images are generally presented as raster data, i.e., as a 2D array of color intensities. Images are everywhere in geosciences. Field geologists use aerial photographs and satellite images to identify lithologic units, tectonic structures, landslides and other features within a study area. Geomorphologists use such images for the analysis of drainage networks, river catchments, and vegetation or soil types. The analysis of images from thin sections, the automated identification of objects, and the measurement of varve thicknesses all make use of a great variety of image processing methods.

Keywords

Satellite Image Earth Science Raster Data Hierarchical Data Format Varve Thickness 
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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References

  1. Abrams M, Hook S (2002) ASTER User Handbook - Version 2. Jet Propulsion Laboratory and EROS Data Center, Sioux FallsGoogle Scholar
  2. Campbell JB (2002) Introduction to Remote Sensing. Taylor & Francis, LondonGoogle Scholar
  3. Gonzalez RC, Woods RE, Eddins SL (2009) Digital Image Processing Using MATLAB – 2nd Edition. Gatesmark Publishing, LLCGoogle Scholar
  4. The Mathworks (2010) Image Processing Toolbox – User’s Guide. The MathWorks, Natick, MAGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Institute of Earth and Environmental ScienceUniversity of PotsdamPotsdamGermany
  2. 2.Büro für Medien und GestaltungblaetterwaldDesignLandau in der PfalzGermany

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