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An evaluation of the role played by remote sensing technology following the
World Trade Center attack
Charles K. Huyck1, Beverley J. Adams1 and David I.
Kehrlein2
- ImageCat, Inc., 400 Oceangate, Suite 1050, Long Beach, CA, 90802; USA
- ImageCat, Inc., 6047 Woodhaven Avenue, Carmichael, CA, 95608, USA
Abstract: Remote sensing technology has been widely recognized for
contributing to emergency response efforts after the World Trade Center attack
on September 11th, 2001. The need to coordinate activities in the midst of a
dense, yet relatively small area, made the combination of imagery and mapped
data strategically useful. This paper reviews the role played by aerial
photography, satellite imagery, and LIDAR data at Ground Zero. It examines how
emergency managers utilized these datasets, and identifies significant problems
that were encountered. It goes on to explore additional ways in which imagery
could have been used, while presenting recommendations for more effective use in
future disasters and Homeland Security applications. To plan adequately for
future events, it was important to capture knowledge from individuals who
responded to the World Trade Center attack. In recognition, interviews with key
emergency management and geographic information system (GIS) personnel provide
the basis of this paper. Successful techniques should not be forgotten, or
serious problems dismissed. Although widely used after September 11th, it is
important to recognize that with better planning, remote sensing and GIS could
have played an even greater role. Together with a data acquisition timeline, an
expanded discussion of these issues is available in the MCEER/NSF report
“Emergency Response in the Wake of the World Trade Center Attack: The Remote
Sensing Perspective” (see Huyck and Adams, 2002).
Keywords: World Trade Center (WTC); terrorism; emergency responses;
emergency management; ground zero; remote sensing; emergency operations;
disasters; geographic information systems (GIS); satellite imagery; synthetic
aperture radar (SAR); light detection and ranging imagery (LIDAR)
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