Lecture Slides: Intro to Remote Sensing and Electromagnetic Energy

These slides are provided as an example of my lecture material for GEOG 160 (Fall 2014) at The Pennsylvania State University.

The topics covered include remote sensing, an introduction to the electromagnetic spectrum, and properties of image interpretation.

Transcript

1. GEOG 160 November 10, 2014
   Mapping Our Changing World
   Joshua Stevens
   josh.stevens@psu.edu
   Office: 210 Walker
   Hours: Tues 11-12
   Fri 10-11
   

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2. This Week
   • Update: Quiz 6 (Ch 6 & 7) will open today!
   • You will have until Sunday @ 11:59pm to complete
   it.
   • Begin Chapter 7: Remote Sensing
   

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3. ….not to be confused with “remote viewing”
   

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4. Landsat 8 data acquired October 24, 2014
   

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6. © McMath-Pierce Solar Observatory
   Frequency of Colors Emitted by the Sun
   

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7. © Immunolight
   The Electromagnetic (EM) Spectrum
   

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9. © NASA
   

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10. © NASA
    

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11. © NASA
    

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13. © NASA
    

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14. © NASA
    

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15. © NASA
    

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16. © NASA
    

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17. True Color © NASA
    

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18. False Color - SWIR w/ stretch © NASA
    

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19. False Color - Thermal w/ stretch © NASA
    

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20. Two General Types of Remote Sensing
    • Space Borne: Satellites acquire the images; often
    under continuous use
    • Aerial imaging systems: Uses aircraft to collect
    images; usually flown on-demand
    

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21. Electromagnetic (EM) Spectrum
    

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22. Electromagnetic (EM) Spectrum
    Our eyes can only see a small portion of this energy
    Visible wavelengths: around 390 nm - 700 nm
    700 nm 390 nm
    

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23. Electromagnetic Energy Emission
    

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24. Electromagnetic Energy Emission
    

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25. Just as the sun emits energy
    unevenly across the spectrum,
    our eyes are not equally
    sensitive to every color.
    We are much more sensitive to
    greens and reds.
    Side note:
    

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27. Interpreting Remote Sensing Imagery Requires Skill
    • Elements of Image Interpretation
    • Size
    • Shape
    • Tone/Color
    • Pattern
    • Shadow
    • Texture
    • Association
    • Site
    

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28. Element of Interpretation: Size
    

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29. Element of Interpretation: Shape
    

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30. Element of Interpretation: Tone
    

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31. Element of Interpretation: Pattern
    

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32. Element of Interpretation: Pattern
    

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33. Element of Interpretation: Shadow
    

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34. Element of Interpretation: Texture
    

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35. Element of Interpretation: Association
    

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36. Element of Interpretation: Association
    

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37. Element of Interpretation: Site
    

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38. Next Class
    • We’ll talk about different types of satellites and
    their missions
    • Image correction and classification
    • Computed derivatives of sat. data
    • Why ‘Doomsday Preppers’ wouldn’t exist if they
    knew about remote sensing
    

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