Environmental Remote Sensing

Environmental Remote Sensing ERS-186

Winter 2004

Course instructors:

Course listserv:

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Grading: 1st Midterm (20%), 2nd Midterm (30%) and Final (50%)

We will distribute practice questions before each exam – a certain number of the practice questions will be WORD FOR WORD the same as the exam!

Office hours TR, 9:00 to 10:00 am; location: CSTARS Lab, Hart Hall 3124

Basic Text: Jensen, J. R. 2000. Remote Sensing of the Environment: An Earth Resource Perspective. Prentice-Hall, Inc., Upper Saddle River, NJ.

COURSE OUTLINE

1. Introduction

2. Principles of Electromagnetic Radiation

3. Remote sensing technology and terminology

4. Scaling up in remote sensing

· Atoms and Molecules; Geology

· Microscopic particles; Atmospheric Science, Climatology, Hydrology and Soil Science

· Cells; Agriculture and Ecology

· Plant structure; Agriculture and Ecology

· Mixed pixels; Terrestrial and Aquatic Ecology; Urban Landscapes

5. Field methodology and spatial analysis

6. Temporal image analysis and change detection

7. CSTARS guest lectures

Lecture Notes :-

Date	Topic	Powerpoint	Pdf	Suggested Reading
Jan 8^th, Thu	Wave-Particle Physics I	Lecture 1: 15.8 mb	0.7 mb	Chapter 2
Jan 13^th, Tue	Wave-Particle Physics II	Lecture 2: 4.7 mb	0.3 mb	Chapter 2
Jan 15^th, Thu	Remote Sensing Terminology	Lecture 3: 7.6 mb	1.0 mb	Chapter 1,7,8
Jan 20^th, Tue	Passive Sensors – Susan’s Lecture	Lecture 4: 29.5 mb	1.8 mb	Chapter 9
Jan 22^nd, Thu	Midterm Exam I	Midterm I: Answers	StudyQ
Jan 27^th, Tue	Active Sensors	Lecture 5: 3.2 mb	0.8 mb	Chapter 9
Jan 29^th, Thu	Remote Sensing in Geology	Lecture 6: 4.2 mb	0.5 mb	Chapter 13(479-483)
Feb 3^rd, Tue	Remote Sensing of Water	Lecture 7a: 2.3 mb Lecture 7b: 6.5 mb	0.5 mb 1.1 mb	Chapter 2(41-44),11
Feb 5^th, Thu	Remote Sensing of Water (cont)	Lecture 7c: 7.1 mb	2.6 mb
Feb 10^th, Tue	Remote Sensing of Soil	Lecture 8: 2.8 mb	0.9 mb	Chapter 13(471-479)
Feb 12^th, Thu	Remote Sensing of Vegetation	Lecture 9a: 3.3 mb	1.3 mb	Chapter 10
Feb 17^th, Tue	Remote Sensing of Vegetation (cont)	Lecture 9b: 3.2 mb	1.1 mb
Feb 19^th, Thu	Remote Sensing of Vegetation (cont)	Lecture 9c: 1.6 mb	0.4 mb
Feb 24^th, Tue	Midterm Exam 2 (60 points)	Midterm II: Answers	StudyQ
Feb 26^th, Thu	Species Discrimination using RS	Lecture 10: 1.2 mb	0.4 mb
Mar 2^nd, Tue	Continuous & Nominal Variables	Lecture 11: 1.2 mb	0.4 mb
Mar 4^th, Thu	Continuous & Nominal Variables (cont)
Mar 9^th, Tue	Classification Techniques	Lecture 12: 6.5 mb	0.6 mb
Mar 11^th, Thu
Mar 16^th, Tue
Mar 17^th, Wed	Review Session - 4 pm (1120, Hart Hall)
Mar 22^nd, Mon	Final Exam at 1:30 pm	Study Questions	pdf

Extra Handouts :-

1. Q5solution (word document)

Grading scale for Midterm II :-