CaGIS/ASPRS 2013 Specialty Conference • www.asprs.org/Conferences/San-Antonio-2013
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Wednesday October 30th
Technical Program
10:00 am – 11:30 am
Geospatial Information Collection,
Distribution and Management –
International Charter
Moderator: Kari Craun,
U.S. Geological Survey
, United States
Emergency Response and the International Charter Space and
Major Disasters
Brenda Jones,
U.S. Geological Survey
, United States
Rynn Lamb
Collecting and Distributing Remotely Sensed Data to Monitor
and Map the 2011 US Midwestern Floods.
Ramesh Sivanpillai,
University of Wyoming
, United States
Brenda Jones and Rynn Lamb
AmericaView – Disaster Prep, Response and Support
Brent Yantis,
AmericaView
, United States
Special Session
Emerging Geospatial Research Frontiers in
Emergency Management
Sponsored by the ASPRS Student Advisory Council
Moderator: Raechel Bianchetti,
The Pennsylvania State
University
, United States
Panelists:
Dr. Peter Coulter,
San Diego State University
, United States
Dr. Tim Frazier,
University of Idaho
, United States
Dr. Chris Lippit,
University of New Mexico
, United States
Dr. Karen Schuckman,
The Pennsylvania State University
, United
States
Michael Hodgson,
University of South Carolina
, United States
Hazard Risk Mapping and Modeling
Moderator: Mary Lorraine Tighe,
Intermap
, United States
Fine-Scale Vulnerability Assessment of Rainfall Flooding and
Storm Surge Hazard for Single-Family Housing in a Coastal
Community - A Case Study of Clearwater, Florida
Yin-Hsuen Chen,
University of Florida
, United States
Timothy Fik and Joann Mossa
Multivariate GIS Analysis of Landslide Vulnerability for Western
Oregon
Rubini Santha Mahalingam,
Oregon State University
, United
States
Mahyar Sharifi-Mood and J. Michael Olsen
Dr. Budhendra Bhaduri is a Cor-
porate Research Fellow (ORNL)
and leads the Geographic Infor-
mation Science and Technology
(GIST) group at Oak Ridge Na-
tional Laboratory. He is a
founding member of the U.S. De-
partment of Energy’s Geospatial
Sciences Steering Committee.
His research interests and expe-
rience include novel implemen-
tation of geospatial science and
technology in sustainable devel-
opment research, including pop-
ulation dynamics, urbanization
and watershed impacts, energy
resource assessment, and di-
saster management. He is a principal member of the LandScan
global population modeling programs at ORNL. He received the
2010 Homeland Security award for emergency preparedness and
response from Christopher Columbus Fellowship Foundation. In
2009, he was appointed to the Mapping Science Committee of the
National Academy of Sciences/National Research Council. He is
also serving on the Geographic Information Science and Applica-
tions and on a Strategic Highway Research Program, Expert Task
Group of the Transportation Research Board (TRB) of the National
Academies. Dr. Bhaduri is actively involved with academic institu-
tions for scientific collaborations and student engagement for re-
search in geospatial science. He is a recipient of the Department
of Energy’s Outstanding Mentor Award for his dedicated service
to the department for developing future workforce for the nation.
8:00 am – 9:00 am
General Session 2
Towards a Geospatial Knowledge
Discovery Framework for Disaster
Management
Budhendra Bhaduri,
Corporate Research Fellow, Oak Ridge
National Laboratory
, United States
The progressive cyber and data infrastructures have enabled the
development of novel decision support frameworks for the dis-
aster preparedness and response community of practice. This
presentation will describe ongoing development of a computa-
tionally intensive and efficient geospatial modeling and analysis
framework that allows near real time processing and integration
of remotely sensed data, derivation and delivery of useful data
derivatives, and spatio-temporal modeling and simulations using
capability computing. Drawing from our experience in supporting
national and international disaster management efforts for recent
natural disasters, the practical limitations of traditional disaster
decision support structure and criticality of geospatial computing
will also be highlighted.
