Visualizing 3D Data in Earth Sciences

  • Martin H. Trauth
  • Elisabeth Sillmann
Part of the Springer Textbooks in Earth Sciences, Geography and Environment book series (STEGE)


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).

Supplementary material (190.1 mb)
Supplementary material 1 (ZIP 194704 kb)

Recommended Reading

  1. Amante C, Eakins BW (2009) ETOPO1 1 arc-minute global relief model: procedures, data sources and analysis. NOAA Technical Memorandum NESDIS NGDC-24Google Scholar
  2. Bohlander J, Scambos T (2007) Antarctic coastlines and grounding line derived from MODIS Mosaic of Antarctica (MOA). National Snow and Ice Data Center, Boulder, ColoradoGoogle Scholar
  3. Farr TG, Kobrick M (2000) Shuttle radar topography mission produces a wealth of data. American Geophysical Union Eos 81:583–585CrossRefGoogle Scholar
  4. Farr TG, Rosen P, Caro E, Crippen R, Duren R, Hensley S, Kobrick M, Paller M, Rodriguez E, Roth L, Seal D, Shaffer S, Shimada J, Umland J, Werner M, Oskin M, Burbank D, Alsdorf D (2007) The shuttle radar topography mission. Rev Geophysic 45:RG2004 Google Scholar
  5. Gorny AJ (1977) World Data Bank II general user guide Rep. PB 271869. Central Intelligence Agency, Washington DCGoogle Scholar
  6. MathWorks (2016) Mapping toolbox—user’s guide. The MathWorks, Natick, MAGoogle Scholar
  7. Sandwell DT (1987) Biharmonic spline interpolation of GEOS-3 and SEASAT altimeter data. Geophys Res Lett 2:139–142CrossRefGoogle Scholar
  8. Soluri EA, Woodson VA (1990) World vector shoreline. Int Hydrogr Rev LXVII(1):27–35Google Scholar
  9. Wessel P, Smith WHF (1996) A global self-consistent, hierarchical, high-resolution shoreline database. J Geophys Res 101(B4):8741–8743CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Institute of Earth and Environmental ScienceUniversity of PotsdamPotsdamGermany
  2. 2.BlaetterwaldDesignScientific PublicationsLandauGermany

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