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ESS 421 – Introduction to Geological Remote Sensing Prof: Alan Gillespie (JHN 343) arg3@uw

Learn about remote sensing, image interpretation, and data analysis in geology. Understand spectra, image visualization, and sensors used for geological studies. Join us in analyzing geological data and exploring the physical basis of remote sensing.

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ESS 421 – Introduction to Geological Remote Sensing Prof: Alan Gillespie (JHN 343) arg3@uw

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  1. Tuesday, 5 January 2010 ESS 421 – Introduction to Geological Remote Sensing Prof: Alan Gillespie (JHN 343) arg3@uw.edu Office hours: T, W, Th 1-3 or by arrangement TA: Iryna Danilina (JHN 330) danilina@uw.edu Office hours: Mon-Wed-Fri 2-3 or by arrangement Lectures: Tuesday/Thursday 9:30-10:20 JHN-111 Labs: Tuesday/Thursday 10:30-12:20 JHN-366 Midterm: Tuesday, 9 February 9:30-10:20 JHN-111 Final: Wednesday, 17 March 10:30-12:20 JHN-111 Class website:http://gis.ess.washington.edu/keck/ess421_documents.html

  2. Lectures Labs Lectures Labs Reading Reading Class structure Model 2(ESS 421) Model 1

  3. Lab Exercises° one lab per week, handed out Tuesdays° due the following Tuesday (or as noted in outline) in class ° lab files (e.g., “Lab_1.doc”) are available from the website° print only the “Answers” file of the lab (e.g., “Lab_1-answers.doc”) & turn in only this sheet to TA with your answers late work will be docked 10% per day ° at the beginning of the lab on Tuesdays there will be a short one-page gradedquiz on the lab just turned in, plus reading for the past week. Bring a sheet of paper for the answers and turn in to the TA. ° the labs just handed in will be reviewed after the quiz

  4. Reading Assignments°Text isLillesand, Kiefer, and Chipman “Remote Sensing and Image Interpretation” 6th ed. 2007, John Wiley ° Reading assignments in the text are augmented with other material available on class website

  5. Examinations & Grading°Midterm and Final will both contain questions from the lectures, reading, and labs ° Midterm covers 1st half of class °Final covers whole classwith emphasis on 2nd half Labs - 30%Lab quizzes - 20%Midterm - 20%Final - 30% Failure to turn in all work in each of the 4 categories above will result in an incomplete

  6. Tuesday, 5 January 2010 Lecture 1: Introduction Reading assignment: Lillesand, Kiefer & Chipman: Ch 1.1, 1.2, 1.6, 1.7, 1.10, 1.11 Ch 2.9 – Multiband imaging App. A – Concepts & terminology (p. 727-731) App. B – Data and resources (p. 732-735) 1

  7. What is remote sensing? Measurement from a distance - Hazardous locales - “Denied terrain” Nodong, N. Korea 2

  8. What is an image? X (longitude) Y (latitude) 3

  9. Images in combination with maps add to interpretive power Geographic Information System (GIS) 4

  10. Images can be made at different wavelengths of light l=11.405 mm l=10.755 mm l=10.275 mm l=9.205 mm l=8.735 mm l l=0.870 mm l=0.804 mm l=0.658 mm l=0.542 mm l=0.462 mm Y Image visualizations display only a subset of the data X NASA MASTER airborne 50-band multispectral image 5

  11. and displayed as color pictures l=11.405 mm l=10.755 mm l=10.275 mm l=9.205 mm l=8.735 mm l l=0.870 mm l=0.804 mm l=0.658 mm l=0.542 mm l=0.462 mm Y R=0.658mm G=0.542mm B=0.462mm X NASA MASTER airborne 50-band multispectral image NASA MASTER airborne 50-band multispectral image 6

  12. Only 3 bands at a time can be visualized this way… but there is more information, and can be shown in a spectrum Spectrum l=11.405 mm l=10.755 mm l=10.275 mm l=9.205 mm l=8.735 mm l l=0.870 mm l=0.804 mm l=0.658 mm l=0.542 mm l=0.462 mm Y R=0.658mm G=0.542mm B=0.462mm X 7

  13. Spectra are different and convey information about composition Note the scale change! R=0.658mm G=0.542mm B=0.462mm 8

  14. Images can be made at different wavelengths of light l=11.405 mm l=10.755 mm l=10.275 mm l=9.205 mm l=8.735 mm l l=0.870 mm l=0.804 mm l=0.658 mm l=0.462 mm l=0.542 mm Y X 9

  15. They reveal different information about scene composition THERMAL INFRARED VISIBLE 10

  16. Images are not limited to light reflected or emitted from a surface. They can be made over time, or of derived or calculated parameters. Increasing concentration of CO Carbon monoxide at 500 mB, from NASA’s Terra/Moppitt 12

  17. How do remote sensing and GIS fit together in geospatial analysis? Remote sensing GIS Image processing Analysis & Interpretation Operations & acquisition Engineering Calibration Validation physics of remote sensing Scanners & data project goals scene Knowledge 13

  18. LKC App A: radiometric terminology (p. 742) Radiant energy (J) [Q] Radiant flux (J s-1 = W) [Ф] Radiant intensity (W sr-1) [I] Irradiance (W m-2) [E] Radiance (W m-2 sr-1) [L] Spectral irradiance (W m-2 µm-1) [El] Spectral radiance (W m-2 sr-1 µm-1) [Ll]

  19. The electromagnetic spectrum In the spectrum, energy is dispersed by a grating or prism according to frequency or wavelength Gamma rays <10-4 µm X rays 10-4 - 10-2 µm Ultraviolet 0.01-0.45 µm Visible blue B 0.47-0.48 µm Visible green G 0.51-0.56 µm Visible red R 0.63-0.68 µm Near infrared NIR 0.67-1.4 µm Shortwave infrared SWIR 1.4-2.5 µm Mid-wave infrared MIR 3.5-5.5 µm Longwave thermal infrared LWIR 8-14 µm Microwave (Radar) 0.1mm-1 m Radio 1 m - 10 km Reflected sunlight Thermally emitted radiation Short l High energy High frequency Long l Low energy Low frequency

  20. What topics are covered in ESS 421? • physical basis of remote sensing • spectra • radiative transfer • image processing • radar/lidar • thermal infrared • applications 14

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