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ESS 421 – Introduction to Geological Remote Sensing Prof: Alan Gillespie (JHN 343) [email protected]

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

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slide1

Wednesday, 5 January 2011

ESS 421 – Introduction to Geological Remote Sensing

Prof: Alan Gillespie (JHN 343) [email protected]

Office hours: Wed - Fri 1 - 3 or by arrangement

TA: Iryna Danilina (JHN 330) [email protected]

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

slide2

What topics are covered in ESS 421?

  • physical basis of remote sensing
  • spectra
  • radiative transfer
  • image processing
  • radar/lidar
  • thermal infrared
  • applications
schedule
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.
slide4

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

slide5

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

slide6

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

slide7

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

slide8

What is remote sensing?

Measurement from a distance -

Hazardous locales -

“Denied terrain”

Nodong, N. Korea

2

slide9

What is an image?

X (longitude)

Y (latitude)

3

slide10

Images in combination with maps

add to interpretive power

Geographic Information System (GIS)

4

slide11

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

slide12

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

slide13

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

slide14

Spectra are different and convey

information about composition

Note the scale change!

R=0.658mm

G=0.542mm

B=0.462mm

8

slide15

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

slide16

They reveal different information

about scene composition

THERMAL INFRARED

VISIBLE

10

slide17

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

slide18

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

lkc app a radiometric terminology p 742
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]

slide20

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

slide21

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

slide22

What will be covered in Friday’s lecture

imaging systems and some of their characteristics

14

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