Integration of multi-source spatial information for coastal management and decision making

Authors:
Ron Li;Keith W. Bedford;C. K. Shum;J. Raul Ramirez;Aidong Zhang;Ahmed Elaksher
Affiliations:
The Ohio State University, Columbus, OH;The Ohio State University, Columbus, OH;The Ohio State University, Columbus, OH;The Ohio State University, Columbus, OH;State University of New York at Buffalo, Buffalo, NY;The Ohio State University, Columbus, OH
Venue:
dg.o '03 Proceedings of the 2003 annual national conference on Digital government research
Year:
2003

Citing 1
Cited 1

Digitalization of coastal management and decision making supported by multi-dimensional geospatial information and analysis

dg.o '04 Proceedings of the 2004 annual national conference on Digital government research

An approach for heterogeneous and loosely coupled geospatial data distributed computing

Computers & Geosciences

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Abstract

This paper presents the second-year outcomes of our Digital Government project "Digitalization of Coastal Management and Decision Making Supported by Multi-Dimensional Geospatial Information and Analysis". One of the primary objectives of the second year is to develop and integrate multiple spaceborne, airborne, and in-situ remotely sensed measurements, spatio-temporal databases, coastal hydrological modeling, and geospatial information analysis for coastal management and decision making. The developed coastal management and decision-making system includes applications for coastal mapping and change detection, water surface modeling and analysis, on-site coastal management and decision-making, and web-based spatial data manipulation. Studies have also been conducted on uncertainties in the used coastal spatial data. The above system has been tested at a pilot site along Ohio's Lake Erie shore and is to be applied to a new test site in Tampa Bay, Florida.