Red River Basin Disaster Information Network
On-Line Workshop
April 29, 1999 -- 12:00 Noon CST

Recent Developments in Remote Sensing
for Disaster Monitoring

Julie Cranton
Environmental Scientist
Canada Centre for Remote Sensing (CCRS)

David Greenlee
Physical Scientist
U.S. Geological Survey (USGS) EROS Data Center

Online Transcript (with additional links)
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Our third workshop presented an overview of some recent developments in the use of remote sensing and related technologies for disaster monitoring, and more specifically, how they are being used in the Red River basin. Current status and future plans were presented, and this was a unique opportunity to learn about the very latest applications, for both Canadian and U.S. efforts.

CCRS Home Page
CCRS Remote Sensing Tutorial

USGS GISDATA Website
Landsat 7 Page

About Julie Cranton
Ms. Cranton graduated from Carleton University in Ottawa, Ontario in 1994 with a B.A. in Geography and from the College of Geographic Sciences, Lawrencetown, N.S. in 1996 with a certificate in Remote Sensing. She joined Noetix Research Inc. in 1996 and worked at CCRS on ice and ocean applications of RADARSAT SAR data. In 1998 she joined CCRS as an Environmental Scientist and is presently working in the Disaster Monitoring group of the Application Development Section.

About Dave Greenlee
Mr. Greenlee graduated from the University of Redlands, Redlands, California in 1972 with a B.A. in Environmental Science. Recent related experience includes Project Leader for EROS' support effort (database development and Web site) for a U.S. interagency research team, commissioned by the White House Office of Science and Technology Policy, to study the effects of the 1993 flood on the Mississippi River during 1994-96. He has also served as EROS Project Leader for a FEMA-sponsored project to document the history of flood inundation for the Northeastern South Dakota glacial lakes area during 1998-99. He most recently is involved with a Cooperative Research and Development Activity (CRADA) with ESRI to provide seamless delivery of large geospatial datasets (including raster images) over the Internet.