2013 | OriginalPaper | Chapter
Visualizing 3D Data in Earth Sciences
Authors : Martin Trauth, Elisabeth Sillmann
Published in: MATLAB® and Design Recipes for Earth Sciences
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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).