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

Wednesday, 5 January 2011. ESS 421 – Introduction to Geological Remote Sensing Prof: Alan Gillespie (JHN 343) arg3@uw.edu Office hours: Wed - Fri 1 - 3 or by arrangement TA: Iryna Danilina (JHN 330) danilina@uw.edu Office hours: Wed/Fri 12:30 - 2 or by arrangement

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

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  1. Wednesday, 5 January 2011 ESS 421 – Introduction to Geological Remote Sensing Prof: Alan Gillespie (JHN 343) arg3@uw.edu Office hours: Wed - Fri 1 - 3 or by arrangement TA: Iryna Danilina (JHN 330) danilina@uw.edu Office hours: Wed/Fri 12:30 - 2 or by arrangement Lectures: Wednesday/Friday 9:30-10:20 JHN-021 Labs: Wednesday/Friday 10:30-12:20 JHN-366 NO LAB TODAY – LAB 1 on FRIDAY Midterm: Wednesday, 9 February 9:30-10:20 JHN-021 Final: Wednesday, 16 March 10:30-12:20 JHN-021 Class website: http://gis.ess.washington.edu/keck/ess421_documents.html

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

  3. Schedule Class structure • LECTURES LABS • Jan 05 1. Intro • Jan 07 2. Images 1 • Jan 12 3. Photointerpretation 2 • Jan 14 4. Color theory • Jan 19 5. Radiative transfer 3 • Jan 21 6. Atmospheric scattering • Jan 26 7. Lambert’s Law 4 • Jan 28 8. Volume interactions • Feb 02 9. Spectroscopy 5 • Feb 04 10. Satellites & Review • Feb 09 11. Midterm 6 • Feb 11 12. Image processing • Feb 16 13. Spectral mixture analysis 7 • Feb 18 14. Classification • Feb 23 15. Radar & Lidar 8 • Feb 25 16. Thermal infrared • Mar 02 17. Mars spectroscopy (Matt Smith) 9 • Mar 04 18. Forest remote sensing (Van Kane) • Mar 09 19. Thermal modeling (Iryna Danilina) • Mar 11 20. Review • Mar 16 Final Exam Lectures Labs Reading • Ethics policy statement • UW now requires an ethics policy statement. • In ESS 421, we expect you to adhere to the following: • Labs: collaborative work in lab exercises is encouraged, • but please write up the results yourself • Homework: Any homework assigned should be your own • Quizzes, Midterm, Final: All work should be your own • All assignments must be turned in. If some problem arises, • please discuss with the TA or instructor • Grades: grading is on a curve.

  4. Lab Exercises° 9 lab exercises ° one lab per week, handed out Wednesdays (except today) ° due the following Wednesday, beginning of Lab period ° 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 Unexcused late work will be docked 10% per day ° at the beginning of the lab on Wednesdays 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

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

  6. 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

  7. Lecture 1: Introduction Reading assignment: Lillesand, Kiefer & Chipman: Ch 1.1, 1.2 radiation Ch 1.6 reference data Ch 1.7 GPS Ch 1.10 GIS Ch 2.9 Multiband imaging For your reference App. A Concepts & terminology App. B Data and resources 1

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

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

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

  11. 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

  12. 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

  13. 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

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

  15. 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

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

  17. 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 pressure (elevation), from NASA’s Terra/Moppitt http://gis.ess.washington.edu/keck/lectures_ESS_421/mopit.MPE 12

  18. 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

  19. 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]

  20. 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 Thermal radiation Short l High energy High frequency Long l Low energy Low frequency

  21. What was covered in today’s lecture? • Remote sensing • Images, maps, & pictures • Images and spectra • Time series images • Geospatial analysis framework • Useful parameters and units • The spectrum 14

  22. What will be covered in Friday’s lecture imaging systems and some of their characteristics 14

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