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Remote sensing data processing – NEON airborne data

Author(s): Yingying Xie

Northern Kentucky University

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Summary:
Concepts of remote sensing and data logistics, and NEON remote sensing data are introduced. Students learn how to apply spatial data processing and visualization skills using R coding program to process NEON airborne data to address scientific…

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Concepts of remote sensing and data logistics, and NEON remote sensing data are introduced. Students learn how to apply spatial data processing and visualization skills using R coding program to process NEON airborne data to address scientific questions.

Licensed under CC Attribution-ShareAlike 4.0 International according to these terms

Version 1.0 - published on 10 Jun 2020 doi:10.25334/CPFG-B331 - cite this

Keywords

  1. R
  2. landscape
  3. biomass
  4. Problem Solving
  5. raster raster data processing
  6. spatial data visualization
  7. vegetation indices
  8. canopy

Alignments

  1. Resource Type
  2. Audience Level
  3. Activity Length
  4. Inclusive Pedagogy for Life Science Education
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