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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

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


Ess 421 introduction to geological remote sensing prof alan gillespie jhn 343 arg3 uw

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.


Ess 421 introduction to geological remote sensing prof alan gillespie jhn 343 arg3 uw

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


Ess 421 introduction to geological remote sensing prof alan gillespie jhn 343 arg3 uw

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


Ess 421 introduction to geological remote sensing prof alan gillespie jhn 343 arg3 uw

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


Ess 421 introduction to geological remote sensing prof alan gillespie jhn 343 arg3 uw

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


Ess 421 introduction to geological remote sensing prof alan gillespie jhn 343 arg3 uw

What is remote sensing?

Measurement from a distance -

Hazardous locales -

“Denied terrain”

Nodong, N. Korea

2


Ess 421 introduction to geological remote sensing prof alan gillespie jhn 343 arg3 uw

What is an image?

X (longitude)

Y (latitude)

3


Ess 421 introduction to geological remote sensing prof alan gillespie jhn 343 arg3 uw

Images in combination with maps

add to interpretive power

Geographic Information System (GIS)

4


Ess 421 introduction to geological remote sensing prof alan gillespie jhn 343 arg3 uw

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


Ess 421 introduction to geological remote sensing prof alan gillespie jhn 343 arg3 uw

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


Ess 421 introduction to geological remote sensing prof alan gillespie jhn 343 arg3 uw

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


Ess 421 introduction to geological remote sensing prof alan gillespie jhn 343 arg3 uw

Spectra are different and convey

information about composition

Note the scale change!

R=0.658mm

G=0.542mm

B=0.462mm

8


Ess 421 introduction to geological remote sensing prof alan gillespie jhn 343 arg3 uw

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


Ess 421 introduction to geological remote sensing prof alan gillespie jhn 343 arg3 uw

They reveal different information

about scene composition

THERMAL INFRARED

VISIBLE

10


Ess 421 introduction to geological remote sensing prof alan gillespie jhn 343 arg3 uw

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


Ess 421 introduction to geological remote sensing prof alan gillespie jhn 343 arg3 uw

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) analysis?

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]


Ess 421 introduction to geological remote sensing prof alan gillespie jhn 343 arg3 uw

The electromagnetic spectrum analysis?

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


Ess 421 introduction to geological remote sensing prof alan gillespie jhn 343 arg3 uw

  • What was covered in today’s lecture? analysis?

  • Remote sensing

  • Images, maps, & pictures

  • Images and spectra

  • Time series images

  • Geospatial analysis framework

  • Useful parameters and units

  • The spectrum

14


Ess 421 introduction to geological remote sensing prof alan gillespie jhn 343 arg3 uw

What will be covered in Friday’s lecture analysis?

imaging systems and some of their characteristics

14