Geog 418/518, Fundamentals of Remote Sensing

Geog 418/518: Winter, 2007

Fundamentals of Remote Sensing
Lecture: 12:00 - 12:50 Tues, Thurs. McKenzie 240B
Lab: 1:00 - 1:50 Tues, Thurs. McKenzie 442 (SSIL Lab)

Instructor: W. Andrew Marcus, 109 Condon Hall

Office: 109 Condon Phone: 346-5709

Office Hours: Tuesday 2-3, W 1-2

GTF: Christine Bowman
Office: 246 Columbia Phone: 346-2699

Office Hours: Thursday, 2-3

A 1 m resolution image of the Lamar River, Yellowstone National Park collected with the Probe-1, 128 band hyperspectral sensor on August 3, 1999. Processed by W. Andrew Marcus to enhance within-stream variations in microhabitats. See Marcus, 2002 and Marcus et al., 2003 for detailed descriptions of how these riparian habitat maps were created. Pdf files of recent PowerPoint presentations on the topic can be accessed from the Marcus home page.

Syllabus
Study Guide, 1st Midterm (NOTE: Andrew will be available on Monday, Mar 9, from 7:30-8 a.m. if you have questions before the test)
Key to first midterm
Study Guide, Final Exam

Andrew Marcus home page

Dept of Geography home page

University of Oregon home page

Weekly Exercises:

Week	Lab Exercise	Lab Answer Sheets	Lab Key	Reading in Text	Additional Readings (NOTE: only the one web page the link takes you to is required. If you click to next page from each link you will learn more, but this is not required)
1	Introduction to the SSIL facilities, Components of NASA tutorials.	NA	NA	Chap 1	NASA Tutorial: Brief History - Launch Vehicles EM Spectrum For fun - how air photos were collected with kites
2	Introduction to ERDAS Imagine	NA	NA	Chap 2	NASA Tutorial: Multispectral filters and color - focus on understanding the filtered images
3	Comparison of images - with different perspectives, spectra, and scales	sheet03	Lab03	Chap 4 & skim 6	In chapter 6, focus on orbital paths, broad categories of satellite types and their purpose. Do not memorize all the different satellites and their characteristics. No additional readings.
4	Displaying and understanding a digital image	sheet04	Lab04	Chap 10 in 4^th ed., Chap 9 in 3^rded.	no additional readings
5	Image Enhancement 1: Band combinations, image drapes	sheet05	Lab05		ERDAS Imagine Field Guide, Chapter 10 on Georectification (available through the ERDAS Help menu) - required for week 6 lab and Chapter 6, 145-148.
6	Geometric Rectification	sheet06	Lab06	Chap 11 (Chap 10 in 3rd ed.)	Midterm Tuesday, Feb 13 ERDAS Imagine Field Guide, Chapter 6, pages 149-165 on spatial and radiometric enhancements (available through the ERDAS Help menu) - required for week 7 lab
7	Image Enhancement 2: Radiometric and spatial enhancements	sheet07	Lab07		ERDAS Imagine Field Guide, Chapter 6, pages 171-183 on spectral enhancements (available through the ERDAS Help menu) - required for week 8 lab
8	Image Enhancement 3: Spectral enhancements	sheet08	Lab08	Chap 12 (Chap 11 in 3rd ed.)	Marcus, 2002 - example of sensitivity analysis, error analysis with hyperspectral mapping
9	Image Classification	sheet09	Lab09	Chap 14 & 15 (Chap 13&14 in 3rd ed.)	Marcus et al., 2003 - example of new applications of hyperspectral mapping - focus on ground truthing, error analysis, issues with accuracy assessment raised by high resolution imagery
10	Lidar imagery			Chap 7, 8 (Chap 7 only in 3rd edition)	no extra readings

Useful Web Resources:

The Remote Sensing Tutorial, an in-depth review of remote sensing concepts sponsored by NASA, with great detailed explanation, review questions and answers, and 100s of useful links.
Getting started with Hyperspectral Imagery - a good, brief overview of how hyperspectral differs from standard multispectral imagery