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Future U.S. Workforce for Geospatial Intelligence (2013) / Chapter Skim
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References
Pages 97-102

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 97...
... Burkhardt, 1989, Historical Development of Schumann, 2010, GeoVA(t) -- Geospatial Visual Analytics: Photogrammetric Methods and Instruments, American Society for Focus on Time, International Journal of Geographical Information Photogrammetry and Remote Sensing, Bethesda, MD, 157 pp.
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From page 98...
... Fini, A., 2009, The technological dimension of a Massive Open Colwell, R.N., ed., 1983, Manual of Remote Sensing, 2nd ed., Online Course: The case of the CCK08 course tools, Inter American Society for Photogrammetry and Remote Sensing, national Review of Research in Open and Distance Learning, 10 Falls Church, Virginia, 2,240 pp. (Special Issue)
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From page 99...
... Jensen, 2009, Image classiGoodchild, M.F., 1992, Geographical information science, Inter- fication, in The SAGE Handbook of Remote Sensing, T.A. Warner, national Journal of Geographical Information Science, 6, 31-45.
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From page 100...
... Hepner, and R Medina, 2008, ASP&RS ten- Pallas, A.M., 2001, Preparing education doctoral students for epis year remote sensing industry forecast Phase V, Photogrammetric tomological diversity, Educational Researcher, 30, 6-11.
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From page 101...
... American Society for Photogrammetry & Remote Sensing, van Wijk, J.J., 2011, Guest editor's introduction: Special section on Bethesda, MD, 485 pp. the IEEE Symposium on Visual Analytics Science and TechnolRibarsky, W., B
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Key Terms

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  • visual analytics
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  • satellite division
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  • world geodetic
  • geospatial intelligence
  • john wiley
  • prentice hall
  • industry forecast

  • sensing industry
  • national weather
  • spatial analysis
  • spatial statistical
  • research environment

  • ncgia core
  • report prepared
  • special issue
  • core curriculum
  • spatial data

  • time series
  • doctoral students
  • forecast phase
  • computer graphics
  • digital image


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