The North Shore Data Consortium: Acquiring and Distributing High-Resolution Geospatial Information
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The North Shore Data Consortium: Acquiring and Distributing High-Resolution Geospatial Information
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Natural Resources Research Institute Technical Report
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2012
Publisher
University of Minnesota Duluth
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Technical Report
Abstract
This project came about because of strong local and regional interests in the acquisition and
distribution of high-resolution spatial data needed for land use planning, natural resource
management, and environmental assessment. Included among these data was LiDAR – light
detection and ranging imagery which provides very high resolution (0.5 to 1 m) elevation data,
which in turn can be used to generate other spatial data, such as hierarchically structured
watersheds, topographic moisture indices, and refined wetland classifications. In spite of the
strong interests in these data sources, acquisition was hampered because no single agency had
the mandate for developing interagency strategies to coordinate funding and planning for largescale
data acquisition projects.
To address this, we proposed to create the North Shore Data Consortium (NSDC), with the
purpose of developing specific funding strategies and timelines for collecting LiDAR and
contemporary high-resolution aerial photography for the region. The Consortium created
partnerships among local, state, and federal agencies along with interested NGOs to develop data
standards, provide for data sharing and leveraging of funds for contracting LiDAR acquisition.
The NSDC worked closely with the Ditigal Elevation Committee of the Governor's Council on
Geographic Information, who coordinates statewide data efforts. A secondary goal of the
proposal was to facilitate data distribution and training.
Description
Minnesota’s Lake Superior Coastal Program; Project no. 306-09-11; Contract no. B31517/3000003745
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NRRI Technical Report;NRRI/TR-12-28
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Host, George E; Sjerven, Gerald. (2012). The North Shore Data Consortium: Acquiring and Distributing High-Resolution Geospatial Information. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/187323.
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