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Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

Planetary-scale terrain composition.

Robert Kooima1, Jason Leigh, Andrew Johnson

  • 1Department of Computer Science, Electronic Visualization Laboratory, University of Illinois at Chicago, Chicago, IL 60607-7053, USA. rlk@evl.uic.edu

IEEE Transactions on Visualization and Computer Graphics
|July 11, 2009
PubMed
Summary
This summary is machine-generated.

Scientists can now interactively compose and visualize unregistered planetary data using a novel GPU-centric method. This approach unifies height and surface maps for seamless exploration of large-scale datasets.

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Area of Science:

  • Planetary Science
  • Computer Graphics
  • Scientific Visualization

Background:

  • Numerous planetary height map and surface image datasets exist, often unregistered and in diverse formats.
  • Scientists need interactive tools for real-time visualization and composition of these disparate datasets.

Purpose of the Study:

  • To present a GPU-centric approach for real-time composition and display of unregistered planetary-scale data.
  • To enable interactive exploration and analysis of diverse planetary datasets.

Main Methods:

  • Employs a General-Purpose Graphics Unit (GPGPU) process for tessellating spherical height fields.
  • Utilizes a render-to-vertex-buffer technique for image-space manipulation of polygonal meshes.
  • Unifies height and surface map data processing for uniform composition operations.

Main Results:

  • Enables adaptation to nonuniform sampling and seamless blending of data with disparate resolutions or transformations.
  • Facilitates smooth interpolation of levels of detail in both geometry and imagery.
  • Provides out-of-core access to giga-pixel data sources for scalable processing.

Conclusions:

  • The presented GPU-centric approach effectively handles unregistered planetary data for real-time visualization.
  • This method allows for powerful, uniform composition operations on diverse planetary datasets.
  • Achieves precise rendering at scales approaching one meter, addressing scalability and precision challenges.