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Land Use Change

Principal Component Analysis (PCA)

Principal Components Analysis (PCA) can be used by image analysts as a data reduction technique whereby the information content from a number of bands is compressed into a few principal components. In other words, PCA can be used to reduce the dimensionality of the data while minimizing loss of information. In addition, PCA images placed in a two- or three-band color-composite may be more easily interpreted than conventional color-infrared composites.

Project Description and Methods
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  • Home
  • Teaching
    • Belize - Study Abroad >
      • Program Pictures - 2014
      • Program Pictures - 2015
      • Program Pictures - 2017
    • Resources
  • Cartography
    • Duluth Trails
    • Archeology Sites; Caribbean and Mediterranean
    • Archeology Sites
    • Lincoln Park
    • Interactive and Digital Stories
  • Remote Sensing and GIS
    • Principal Component Analysis