ATOC 5235 - SPRING(!) 2004

Remote Sensing of Atmospheres and Oceans


Meeting: Tuesday, Thursday; 12:30-1:45 pm; Benson 185

Instructor:  Prof. Darin Toohey x5-0002; Stadium 255 (Gate 7); toohey@colorado.edu 

Course web page:  http://paos.colorado.edu/~toohey/ATOC5235.html

Office hours: By appointment, preferably Tuesday, Thursday: 2:00 – 3:00
 
Required text: Graeme L. Stephens, Remote Sensing of the Lower Atmosphere, An Introduction, Oxford University Press, 1994.

Optional Text: John R. Jensen, Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall, 2nd ed., 2000.
 
What is this course about?
The objective of this course is to apply principles of radiative transfer to remote sensing of the earth. The first two-thirds of this course emphasizes physical and mathematical understanding of those basic principles and addresses a breadth of applications in both passive and active remote sensing. The last third will examine other applications that are important for understanding the Earth system. The goal of the course is to provide a broad conceptual framework for understanding the methodology and applications of remote sensing.

Students who take this class have a wide range of backgrounds, including atmospheric and planetary sciences, aerospace engineering, geology, mathematics, and physics. The course used to have a formal prerequisite of ATOC/ASEN 5225: Thermodynamics of Atmospheres and Oceans; however, this course is no longer offered. Thus, it is important that students have a strong mathematics background (calculus is essential with some esposure to differential equations and linear algebra) and it is desirable to have some knowledge of atmospheric physics and chemistry. Students who have taken a course in radiative transfer will find some overlap in material. This is a good thing! It allows you to focus your efforts on principles of remote sensing moreso than on solving equations. Should you find that the material is too redundant (and so becomes boring!) you should take the additional time to work on a project (see below).

This class is highly technical, so that students will spend a significant amount of time outside of class working through the equations and physical principles. There will be weekly homework assignments from each of the 8 chapters of the required textbook designed to reinforce the principles taught in class and give some examples of applications of the material.  You are encouraged to work in groups, but please hand in your own work.

Course organization:

Details of the material to be covered are given in the schedule below. We will cover the entire Stephens book by Spring break (about a chapter per week). While this sounds intense, when I first taught this class at UC Irvine in 1996 I covered the same material in 8 weeks, and I found that this was a good pace for really learning the material. The book isn't particularly difficullt to read, so that if one goes slower it can become boring! My lectures will emphasize the main concepts, and I will go through difficult derivations. I will either hand out my notes OR (most likely) post them on the web. Therefore, you might wish to refrain from taking detailed notes unless I indicate otherwise. Sometimes it is better to listen and understand, then go back and review my notes, than to spend your time jotting down everything that I say.


Work and Grading:  

Grades will be based on homework, an exam, and course projects/presentations, as follows:  

Homework (50%): Homework will be lots of problem-solving. It is designed to make you use your brain until you can't think anymore, and then some! Hopefully, some of the stuff will stick (and this is what will be on the Comps I exam next year!). There will be one assignment for each Chapter, more or less, and the problems are of varying difficulty. You are encouraged to work together with your classmates to formulate approaches to the homework problems, but please turn in your own work.  If you haven't completed an entire assignment, turn in what you can on time for full credit - you'll just have to take your chances on what you turn in late, as I will post answers to all assignments shortly after they are due. Since I hand out answers, I won't write lots of comments on your papers, so please ask me if you have any questions! From experience, students who do all the homework on time usually do very well in my classes (A or A-). Those who slog along (slog: To walk or progress with a slow heavy pace; plod) usually do much worse (B or lower). So if you plan on slogging, please take along a guide!
 

Exam (25%): One exam will cover the material from the first 5 chapters of the book. It will be based primarily on homework.


Project/presentation (25%):  Pick a remotely sensed data product (past, present, or future) that interests you. (1) Discuss the main principle behind the measurement. (2) Discuss the main characteristics of the observation strategy. (3) Discuss other potential ways to measure the same properties and why this method is preferred. (4) Show some results (real or expected). (5) Present the salient points of your project to the class (oral and via development of web pages with pretty pictures!). If you work in the area of remote sensing, please pick something that isn't your particular area of expertise.


Expectations:  

Come to class: I have a huge insecurity problem. If you don't come to class, my deepest insecurities will resurface and I will start applying to be a contestant on programs like Fear Factor, where people will at least buy beer based on commercials aired in between segments in which I make a complete and utter fool of myself!

Seriously, this stuff isn't trivial, and the textbook has some important gaps. I will try hard not to just repeat all the boring stuff that appears in the book, but rather try to motivate the material. We will also work on the homework problems, so that if you miss a class you will probably have to work that much harder on your own (or cheat!). Please come prepared to participate (and bring a calculator!). 

 

Read the book!!: It is not practical for me to cover every detail of the phenomena we will study during this class. Therefore, I am going to go out on a limb here and assume that you will read the book on your own to fill in the details. In fact, you will probably learn to dislike this course if you don't read (plus, it will make me look a lot more intelligent than I really am!). If you just can't bring yourself to read the book to learn, at the very least, read it to find the typos! As a bonus, if you find any errors that I have missed (I will bring my book with me at all times for proof) I will award you extra credit (only to the first person who identifies the mistake!).

 

Ask questions: I encourage you to ask questions during class. If you are polite and don't call me Homer Simpson, I don’t mind being interrupted. This is especially important if I have made a mistake or have said something that isn’t clear (even though I have never done either in 20+ years of teaching!).  If you’re not comfortable asking a question during class, please do so afterwards or during office hours. I will try to maintain a "frequently asked questions" section on the course web site, but my best intentions are often foiled by other issues. If someone wants to help me with this, please volunteer (for extra credit!).

 

Participate and interact: I like to have an interactive classroom. I find it terribly boring to talk at students for a whole class period, and I can recall how dull it is for students to be lectured at (remember, I am horribly insecure!). So, I will ask questions of the class; we’ll work on problems; I'll probably call on you from time to time.  Please participate! Note that civility and cooperation are essential elements in the classroom. This means encouraging one another during discussions and working together on problems.
 

 

Policies:  (the CU boiler plate stuff!) 
If you qualify for accommodations because of a disability, please submit to me a letter from Disability Services in a timely manner so that your needs may be addressed. Disability Services determines accommodations based on documented disabilities. (303-492-8671, Willard 322)
 

Please inform the instructor if you observe religious holidays and may miss class of scheduled exam dates. Alternative arrangements will be made in such cases. Campus policies can be found at http://www.colorado.edu/policies/fac_relig.html
 

It should go without saying that dishonesty will not be tolerated. Your work on assignments and exams must be your own. Cheating in any form will not be tolerated and will be dealt with according to the rules of the College of Arts and Sciences. You are also encouraged to view the new honor code information at www.colorado.edu/academics/honorcode/
 

Schedule
(I said it looks ambitious!)

Week 1 (Jan 13/15) - Introduction (Chapter 1, p 3-34)

Week 2
(Jan 20/22) - Electromagnetic Radiation and Polarization (Chapter 2, p 35-80)



Week 3
(Jan 27/29) - Spectroscopy and Radiative Transfer (Chapter 3, p 81-115)


Week 4 (Feb 3/5) - Absorbers and Spectrometers (Chapter 3, p 115-142)


Week 5 (Feb 10/12) - Finish Chapter 3


Week 6 (Feb 17/19) - Macroscopic Properties  - (Chapter 4, p 143-163)


Week 7 (Feb 24/26) Macroscopic Properties (con't)


Week 8
  (Mar 2) Intro to Scattering (Chapter 5, p 190-260)


Week 9
  (Mar 9/11) Scattering (Con't)


Week 10
(Mar 16/18) Sensing by Scattering
(Chapter 6, p 261-327)


Week 11 - Spring Break


Week 12
(Mar 30/Apr 1) Sensing by Scattering (cont)


Week 13
(Apr 6/8) Sensing by
Absorption and Emission (Chapter 7, p 328-394)


Week 14
(Apr 13/15) Applications

Week 15 (Apr 20/22) More Sensing by Emission and Introduction to Active Sensing (Chapter 8, p 395-465)

Week 16 (Apr 27/29) - Presentations
  


Week 17 - A written report on your project will be due by finals week.