 |
 |
 |
 |
 |
|
|
|
|
|||||
|
||||||||
|
||||||||
|
|
|
Planning, Support, System Data Acquisition, Database Design, and Visualization Richard Klosterman Funding Sources Description of Project Projected Benefits of Project Collaborations Experiences and Outcomes Funding Sources NASA Space Commercialization Funds (Pending)
This project will be conducted jointly with the Ohio State University's Center for Mapping and Arizona State University's Center for Environmental Studies. The major funding will come from a continuation of the Center for Mapping's existing NASA research contract, in conjunction with Arizona State University's Central Arizona-Phoenix Long-term Ecological Research Project (LTER) Center (NSF Grant DEB-9714833). The
three year research project will explore the use of high-resolution (sub-meter resolution) remotely sensed data and advanced image interpretation techniques to support the four components of the planning support system (PSS)
development process: (1) data acquisition and evaluation, (2) database design and construction, (3) space-time forecast modeling, and (4) product visualization. PSS extends traditional computer-based decision support
systems (DSS) to: (1) incorporate a range of different types of information (most notably spatially-referenced information) and information technologies (primarily geographic information systems (GIS), expert systems, and
Internet); (2) consider a broad range of long-term ten-to-twenty impacts of public policy-making process. The project will utilize very large spatial-temporal data sets compiled from NASA's high-resolution remotely
sensed data and the extensive geographic information system (GIS) data sets for the city of Phoenix compiled by the LTER project. Both data sets are several hundred gigabytes in size. The project will: (1)
explore the use of advanced image interpretation techniques to acquire detailed and current PSS data; (2) develop robust object-relational data structures for efficiently storing and utilizing these data;(3) apply a range of
spatial-temporal analysis and forecasting models to the data bases; and (4) develop dynamic three-dimensional Web-based techniques for displaying this information and the results of model-generated simulations. The
project will develop procedures for utilizing newly available high resolution remote sensed data, advanced image interpretation techniques, and sophisticated Web-based data visualization techniques to help inform and improve
the public decision-making process. The project will involve the simultaneous use of extremely large data sets and advanced Web-based visualization techniques by research teams working at the University of
Akron, the Ohio State University, and Arizona State University. The primary sets of data, which consist of extremely large remote-sensed images and spatially-referenced GIS data sets, will be stored at Ohio State
University and the University of Arizona and can be accessed via the Internet by researchers working at the University of Akron The first, second, and fourth components of the research project-image interpretation, data
base design, and visualization-will be conducted at Ohio State University. The third component-the spatial-temporal modeling and forecasting-will be done at the University of Akron. All four components of the
research will be accessed via the Internet by researchers working on PSS related research at MIT, the University of California, Berkeley, The University of Chicago at Urbana-Champaign, and other research institutions across the
United States. As a result, a reliable very high-speed vBNS connection is essential for the project's success. Projected Benefits of the Project The University of Akron's component of the research will be conducted in the GIS Research Laboratory, located in the Department of Geography Planning. The GIS
Research Laboratory currently has a dedicated file server with 12 GB of disk space, four Windows NT work stations, a UNIX workstation, and several large-format, high-quality input and output devices. This equipment is
connected by a 100 Mbps local area network which has a direct fiber connection to the campus backbone. This equipment is well suited for the Laboratory's current research efforts but is totally inadequate for the dealing
with the extremely large spatially-referenced data sets and dynamic three-dimensional graphic images that are the core of this research project. As a result, additional UA funding will be used to purchase a larger and
faster server and higher speed network connection between the server and ATM backbone. Collaborations The primary partners in this project are at The Ohio State University's Center for Mapping and Arizona State University's Center for Environmental Studies, which
already have access to the Internet 2 network. Researchers at the following institutions that currently have Internet 2 access will also be working with the data bases, models, and visualization results to be developed by
this research: (1) Georgia Institute of Technology; (2) Massachusetts Institute of Technology; (3) The University of California, Berkeley, (4) The University of California, Santa Barbara, and (5) The University of Illinois at
Urbana-Champaign. Dick Klosterman of Geography ran an I2 test on February 10, 00. Dick attempted to send a large (1.7 GB) file to Richard Beck at Dick Klosterman of Geography ran an I2 test on February 10, 2000. Dick attempted to send a large (1.7 GB) file to Richard Beck at The University of Cincinnati (UC). Unfortunately the network test was a bust at the UC end. Richard reported that UC has some tuning to do at their end before we can get a meaningful result. They need to upgrade some cables, verify their bandwidth and their routers. They are not properly connected. Their connection is CANIS/UIUC. No timing information was available.
|
|
[Home] [Description] [Summary] [Research] [Connection] |