Geospatial Disaster Response during the Haiti Earthquake: A Case Study Spanning Airborne Deployment, Data Collection, Transfer, Processing, and Dissemination
Author(s) -
J. A. N. van Aardt,
Donald M. McKeown,
Jason Faulring,
Nina Raqueño,
May Casterline,
Chris S. Renschler,
Ronald T. Eguchi,
David W. Messinger,
Robert Krzaczek,
Steve Cavillia,
John Antalovich,
Nat Philips,
Brent D. Bartlett,
Carl Salvaggio,
Erin Ontiveros,
Stuart Gill
Publication year - 2011
Publication title -
photogrammetric engineering and remote sensing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.483
H-Index - 127
eISSN - 2374-8079
pISSN - 0099-1112
DOI - 10.14358/pers.77.9.943
Subject(s) - geospatial analysis , disaster response , software deployment , emergency response , geography , emergency management , remote sensing , data collection , computer science , meteorology , medical emergency , political science , medicine , law , operating system , statistics , mathematics
Immediately following the 12 January 2010 earthquake in Haiti, a disaster response team from Rochester Institute of Technology, ImageCat Inc., and Kucera International, funded by the Global Facility for Disaster Reduction and Recovery group of the World Bank, collected 0.15 m airborne imagery and two points/m2 lidar data for 650 km2 over a period of seven days. Data were transferred to Rochester, New York for processing at rates that approached 400 Mb/s using Internet2, ortho-rectified with a 24-hour turnaround, and distributed to response agencies through file or disk transfer. A unique response effort, dubbed the Global Earth Observation - Catastrophe Assessment Network (GEO-CAN) and headed by ImageCat, utilized over 600 experts from 23 different countries to generate rapid turnaround damage assessment products. This paper highlights the airborne data collection, transfer, processing, and product development effort, which arguably has raised the bar in terms of response to large-scale disasters.
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