Geo-Visualization Applications Using Google Earth

July 29, 2010, 12:00pm - 1:00pm
Dr. Ziliang Zong, South Dakota School of Mines and Technology
5825 University Research Court, Suite 3500
College Park, MD 20740

Abstract

Geo-visualization refers to a set of tools and
techniques supporting geospatial data analysis through the use of
interactive visualization. With a large portion of digital data
generated today includes geospatial reference, geo-visualization
technologies become increasingly important and evolve rapidly every
day. This presentation will focus on a series of existing geo-
visualization applications using Google Earth. These applications
cover different domains ranging from Global Climate Change, Global
Snow/Soil Distribution, and Global Precipitation to Global Environment
for Network Innovations projects and Geo-visualization projects for
the worlds largest satellite images distribution systems hosted by
the USGS Data Center for Earth Resources Observation Systems (EROS).

Parking is free but a visitor parking permit is required. Please let Kim Swieringa (kim.swieringa@pnl.gov) know if you will be driving and need a visitor permit.

About the Speaker

Dr. Zong is currently an assistant professor of Department
of Mathematics and Computer Science at South Dakota School of Mines
and Technology. He received his PhD degree in Computer Science and
Software Engineering from Auburn University in August, 2008. His
research interests include high-performance computing, multi-core
technologies, large scale storage systems and massive data
visualization/storage. He has served as the paper reviewers or program
committees for several journals and conferences, including IEEE
Transactions on Parallel and Distributed Systems, Journal of
Information Science, IEEE International Conference on Networking,
Architecture, and Storage, and International Conference on Advances in
System Simulation. In 2009, he received an NSF Computer and Networked
Systems (CNS) Award working on data mining based pre-fetching
techniques for hybrid storage systems.