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Proceedings Paper

Demonstration of delivery of orthoimagery in real time for local emergency response
Author(s): Donald McKeown; Jason Faulring; Robert Krzaczek; Stephen Cavilia; Jan van Aardt
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Paper Abstract

The Information Products Laboratory for Emergency Response (IPLER) is a new initiative led by the Rochester Institute of Technology (RIT) to develop and put into use new information products and tools derived from remote sensing data. This effort involves technical development and outreach to the user community having the two-fold objective of providing new information tools to enhance public safety and fostering economic development. Specifically, this paper addresses the demonstration of the collection and delivery of geo-referenced overhead imagery to local (county level) emergency managers in near realtime. The demonstration proved valuable to county personnel in showing what is possible and valuable to the researchers in highlighting the very real constraints of operatives in local government. The demonstration consisted of four major elements; 1) a multiband imaging system incorporating 4 cameras operating simultaneously in the visible (color), shortwave infrared, midwave infrared and long wave infrared, 2) an on-board inertial navigation and data processing system that renders the imagery into geo-referenced coordinates, 3) a microwave digital downlink, and 4) a data dissemination service via FTP and WMS-based browser. In this particular exercise, we successfully collected and downloaded over 700 images and delivered them to county servers located in their Emergency Operations Center as well as to a remote GIS van.

Paper Details

Date Published: 20 May 2011
PDF: 11 pages
Proc. SPIE 8048, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII, 80480G (20 May 2011); doi: 10.1117/12.884054
Show Author Affiliations
Donald McKeown, Rochester Institute of Technology (United States)
Jason Faulring, Rochester Institute of Technology (United States)
Robert Krzaczek, Rochester Institute of Technology (United States)
Stephen Cavilia, Rochester Institute of Technology (United States)
Jan van Aardt, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 8048:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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