HR: 1340h
AN: IN33A-0878 [Abstracts]
TI: Visualizing Large Datasets with LAS and Google Earth
AU: * Li, J
EM: jing.y.li@noaa.gov
AF: Macrosearch Inc, 11711 SE 8th Street, Bellevue, WA 98005,
AU: Schweitzer, R
EM: Roland.Schweitzer@noaa.gov
AF: Weathertop Consulting, LLC, 2802 Cimarron Ct, College Station, TX 77845,
AU: Hankin, S
EM: Steven.C.Hankin@noaa.gov
AF: NOAA/PMEL, 7600 Sand Point Way NE, Seattle, WA 98115,
AU: Manke, A
EM: Ansley.B.Manke@noaa.gov
AF: NOAA/PMEL, 7600 Sand Point Way NE, Seattle, WA 98115,
AU: O'Brien, K
EM: Kevin.M.O'Brien@noaa.gov
AF: JISAO, University of Washington, Seattle, WA 98195,
AB:
As experiments and simulations in Earth System Science grow larger and more complex, dataset volumes are
growing explosively. Web-based visualization and analysis of these datasets is becoming a challenge due to
large amount of data and the limit of network bandwidth. The Live Access Server (LAS) is a highly configurable
Web server designed to provide flexible access to visualization and analysis products generated from geo-
referenced scientific datasets. In this presentation, we introduce a new capability of LAS for interactively
visualizing large datasets by utilizing the view-based refresh queries of Google Earth and the automatic
decimation ("striding") capabilities of Ferret.
When viewing a high resolution dataset on a global scale it is wasteful of bandwidth to handle the full resolution
data. With the striding capability, Ferret selects every nth point along an axis, where n is the striding value. The
striding values are dynamically computed based upon the size of the area of interest. The automatic striding
approach minimizes the volume of data that need be touched to visualize a large geographic area. Higher
resolutions are utilized for smaller areas to reveal the fine structures. The LAS provides this behavior using
Google Earth as the user interface. As users zoom or pan on Google Earth, Google Earth interacts with LAS
through a Network Link, which contains the URL of a LAS server. When the view inside Google Earth stops for a
set number of seconds, it makes a request to a LAS server, sending the LAS server the latitude and longitude
boundaries (bounding box) of the area currently in view. The LAS server uses that information to compute stride
values, instruct Ferret to generate a visualization for that particular geographic area, and send the resulting image
back to Google Earth.
DE: 0520 Data analysis: algorithms and implementation
DE: 0530 Data presentation and visualization
SC: Earth and Space Science Informatics [IN]
MN: 2007 Fall Meeting