Abstract

NASA Web World Wind (Web WW) is designed to visualize and manage geographical data. As a first implementation of visualization and analysis, we designed an application to map earthquake data onto the globe. Portions of this code were merged with application monitoring magnetic field anomalies possibly associated with earthquake precursor activity. Web WW enabled the visualization of the directional vectors from this data to point to the source location of the earthquake. We also developed a prototype urban management application which utilizes OpenStreetMaps to provide simple features such as route navigation, geographical and services information in an area of interest. This application also enables a graphical method for handling other data pertaining to the area. Finally, Light Detection And Ranging (LiDAR) data was mapped onto the globe using Web WW. The data was then used to model the progression of flood water in an area. The method developed to map the LiDAR data onto the globe also enabled handling of massive data sets. This includes data sets which contain hundreds of thousands of points, each with multiple values associated with it.

Disciplines

Geology | Software Engineering

Mentor

Patrick Hogan

Lab site

NASA Ames Research Center (ARC)

Funding Acknowledgement

This material is based upon work supported by the S.D. Bechtel, Jr. Foundation and by the National Science Foundation under Grant No. 0952013. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the S.D. Bechtel, Jr. Foundation or the National Science Foundation. This project has also been made possible with support of the National Marine Sanctuary Foundation. The STAR program is administered by the Cal Poly Center for Excellence in Science and Mathematics Education (CESaME) on behalf of the California State University (CSU).

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URL: http://digitalcommons.calpoly.edu/star/320

 

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