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Great
Lakes Regional Data Exchange 2007: Sharing Common Resources
The Great Lakes
Commission is collaborating with the American
Society of Photogrammetry and Remote Sensing (ASPRS) and the
Canadian
Remote Sensing Society (CRSS) to provide you
with this opportunity to learn and share information about technologies
and methods study, monitor, map and manage the Great Lakes - St.
Lawrence River system.
The Great Lakes Regional Data Exchange
2007 conference will be held on October
29, 2007 at the Westin Hotel in Ottawa, Ontario.
The conference will include keynote speakers addressing the latest
advancements in current regional and global observing systems and
related technologies. It will also include breakout sessions with
contributed paper covering a wide range of case studies and current
activities showcasing the latest technologies and applications
for managing and exchanging information relating to Great Lakes
resources.
The conference is ideally placed at the beginning of a week of
exciting events in Ottawa surrounding the ASPRS
and CRSS 2007 Specialty Conference. Attendees can therefore
take advantage of an impressive array of other conference opportunities
to present their work, learn of recent advances in the field,network
with others and explore a large exhibitor gallery.
Who should attend?
If you are interested in remote sensing, photogrammetry,
geographic information systems, land and natural resources management,
observing tools and techniques, and web-based technologies for
real-time data and information acquisition and sharing – this
conference is a MUST! Intended audience members include:
- Federal and state/provincial governments, academic and non-profit organizations that engage in data collection, development, storage and management that wish to explore new ways for regional information coordination
- State/provincial/municipal information managers who oversee web and GIS technologies and are looking for new ideas and techniques
- Great Lakes stakeholders who are interested in web and GIS tools to improve decisionmaking
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