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In this LiDAR dataset of nearly one billion points, the Canadian city of Ottawa is presented in impressive detail, but can easily be manipulated and inter-rogated on even a laptop computer using CoViz 4D software.
LiDAR Data Visualization
The powerful CoViz® 4D visualization engine yields fast and easy manipulation and interrogation of massive 3D datasets. In particular, the
CoViz 4D system has been optimized for the rapid loading and display of Light Detection and Ranging (LiDAR) data—datasets that can often
consist of over a billion individual point samples.
Within CoViz 4D, proficient rendering and manipulation of high density point datasets is accomplished by utilizing dynamic data point scaling
combined with seamless image tiling. On-the-fly point-decimation, culling, and tiling use sophisticated customized algorithms to minimize
compute time while maximizing screen data display and fidelity; this approach optimizes the user-experience and yields world-class
rendering performance on relatively modest desktop, and even laptop, consumer-grade hardware.
• 2D, 3D, and 4D seismic reflection data
• 3-Dimensional earth models (stratigraphy and fault geometry)
• Isosurfaces and 3D property models (plumes, aerosols, viewsheds)
• Topographic/digital elevation models (DEM)
Moreover, the real value of CoViz 4D is in providing the ideal 2D/3D/4D environment for true data integration and analysis. Integration of
LiDAR datasets with other surface and subsurface information enables fuller examination and understanding of complex systems in their true
environmental context. Within CoViz 4D, LIDAR can easily be combined with geophysical, geological, and geochemical data, including:
• Satellite and aerial imagery
• Roads, pipelines, cables, infrastructure locations
• Ground-water monitoring well locations
• Geochemical measurements
• Any ASCII data in XYZ Cartesian space
with Dynamic Graphics’ CoViz 4D
COVIZ 4D LIDAR PRODUCT SHEET
Visualization of folding in marble outcrops, Connemara, western Ireland: An application of virtual outcrop technology. Data used with permission of owners McCaffrey, K.J.W, Feely, M. Hennessey, R. & Thompson, J. 2008.
Jacksonville, Florida, Naval Air Station—LIDAR merged with aerial photo. LiDAR data generated by the Florida Division of Emergency Management (FDEM), Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), and Coastal Ser-vices Center (CSC). Aerial photo from the Florida Division of Emergency Management, 2007.
Point Loma, California—LiDAR merged with aerial photo. LiDAR data generated for the Scripps Insti-tution of Oceanography by the Center for Space Research, the University of Texas at Austin (CSR), with support provided by the Bureau of Economic Geology, the University of Texas at Austin (BEG), and the Government Flight Services of the Texas Department of Transportation. Aerial photo from the Joint Airborne Lidar Bathymetry Technical Center of eXpertise, 2008.
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No part of this publication may be reproduced, translated, or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, use or capture in any information storage or retrieval system, or otherwise, without the express prior written permission of Dynamic Graphics, Inc.
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Dynamic Graphics, CoViz, and the logo(s) shown below are trademarks of Dynamic Graphics, Inc. that are registered trademarks or the subject of pending applications in various countries.
All other trademarks belong to their respective owners. rev.02152016.
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