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
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
3. ….not to be confused with “remote viewing”
4. Landsat 8 data acquired October 24, 2014
6. © McMath-Pierce Solar Observatory Frequency of Colors Emitted by the Sun
7. © Immunolight The Electromagnetic (EM) Spectrum
9. © NASA
10. © NASA
11. © NASA
13. © NASA
14. © NASA
15. © NASA
16. © NASA
17. True Color © NASA
18. False Color - SWIR w/ stretch © NASA
19. False Color - Thermal w/ stretch © NASA
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
21. Electromagnetic (EM) Spectrum
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
23. Electromagnetic Energy Emission
24. Electromagnetic Energy Emission
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:
27. Interpreting Remote Sensing Imagery Requires Skill • Elements of Image Interpretation • Size • Shape • Tone/Color • Pattern • Shadow • Texture • Association • Site
28. Element of Interpretation: Size
29. Element of Interpretation: Shape
30. Element of Interpretation: Tone
31. Element of Interpretation: Pattern
32. Element of Interpretation: Pattern
33. Element of Interpretation: Shadow
34. Element of Interpretation: Texture
35. Element of Interpretation: Association
36. Element of Interpretation: Association
37. Element of Interpretation: Site
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