Visualizing 3D Data in Earth Sciences

  • Martin Trauth
  • Elisabeth Sillmann


Most data in earth sciences are spatially distributed, either as vector data, (points, lines, polygons) or as raster data (gridded topography). Vector data are generated by digitizing map objects such as drainage networks or outlines of lithologic units. Raster data can be obtained directly from a satellite sensor output, but gridded data can also, in most cases, be interpolated from irregularly-distributed field samples (gridding).


Earth Science Shuttle Radar Topography Mission Elevation Data Digital Elevation Model Raster Data 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Sandwell DT (1987) Biharmonic Spline Interpolation of GEOS-3 and SEASAT Altimeter data. Geophysical Research Letters 2:139–142Google Scholar
  2. Trauth MH (2010) MATLAB Recipes for Earth Sciences – Third Edition. Springer, Berlin Heidelberg New YorkGoogle 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

Personalised recommendations