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Journal of Applied Remote Sensing

Case study of visualizing global user download patterns using Google Earth and NASA World Wind
Author(s): Ziliang Zong; Joshua Job; Xuesong Zhang; Mais Nijim; Xiao Qin
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Paper Abstract

Geo-visualization is significantly changing the way we view spatial data and discover information. On the one hand, a large number of spatial data are generated every day. On the other hand, these data are not well utilized due to the lack of free and easily used data-visualization tools. This becomes even worse when most of the spatial data remains in the form of plain text such as log files. This paper describes a way of visualizing massive plain-text spatial data at no cost by utilizing Google Earth and NASA World Wind. We illustrate our methods by visualizing over 170,000 global download requests for satellite images maintained by the Earth Resources Observation and Science (EROS) Center of U.S. Geological Survey (USGS). Our visualization results identify the most popular satellite images around the world and discover the global user download patterns. The benefits of this research are: 1. assisting in improving the satellite image downloading services provided by USGS, and 2. providing a proxy for analyzing the "hot spot" areas of research. Most importantly, our methods demonstrate an easy way to geo-visualize massive textual spatial data, which is highly applicable to mining spatially referenced data and information on a wide variety of research domains (e.g., hydrology, agriculture, atmospheric science, natural hazard, and global climate change).

Paper Details

Date Published: 9 October 2012
PDF: 10 pages
J. Appl. Remote Sens. 6(1) 061703 doi: 10.1117/1.JRS.6.061703
Published in: Journal of Applied Remote Sensing Volume 6, Issue 1
Show Author Affiliations
Ziliang Zong, Texas State Univ. San Marcos (United States)
Joshua Job, L-3 Communication Systems-West (United States)
Xuesong Zhang, Pacific Northwest National Lab. (United States)
Mais Nijim, Texas A&M Univ.-Kingsville (United States)
Xiao Qin, Auburn Univ. (United States)


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