Michigan Tech - Department of Geological & Mining Engineering and Sciences

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1 Michigan Tech - Department of Geological & Mining Engineering and Sciences GE 4250 Fundamentals of Remote Sensing Spring semester credits Instructor Info Instructor: Simon A. Carn, Assistant Professor Office: 424 Dow Tel: e: scarn@mtu.edu Office Hours: by appointment ( anytime) Course Identification Course Number: GE4250 Course Name: Fundamentals of Remote Sensing Course Location: 610 Dow Class Times: MWF 2:05-2:55 pm Prerequisites: PH2200 (Electricity and Magnetism), MA2160 (Calculus), or permission from instructor. Labs: In the latter part of the semester we will use a computer lab (TBA) for some classes PDF of this syllabus Course Description/Objectives This course covers the basic physics and applications of remote sensing and remote sensing systems (satellite, airborne and ground-based). We will focus on using remote sensing to derive information about the Earth s atmosphere and surface (commonly termed Earth Observation). Students who are interested in the following questions will benefit from this course: Why use remote sensing for scientific/engineering studies? How does remote sensing work? What features can I see with remote sensing? How do I obtain remote sensing data and analyze it? What are the limitations of remote sensing? How do I validate remote sensing methods and data? How can I design new remote sensing techniques? Course Resources Websites WebCT ( Course Texts (I will have some of these to lend) Bohren, C.F. (2001). Clouds in a Glass of Beer: Simple Experiments in Atmospheric Physics. Dover Publications, ISBN Bohren, C.F. (2006). What Light Through Yonder Window Breaks? Dover Publications, ISBN

2 Other sources (*these books are on course reserve in the library) *Campbell J.B. (2007). Introduction to Remote Sensing. The Guilford Press, ISBN Feynman, R.P., R.B. Leighton, and M. Sands (1963). The Feynman Lectures on Physics. Pearson-Addison-Wesley Publishing Company, ISBN *Jensen, J.R. (2007). Remote Sensing of the Environment: An Earth Resource Perspective. Prentice-Hall, Inc., ISBN Lillesand, T.M., R.W. Keifer and J.W. Chipman (2004). Remote Sensing and Image Interpretation. 5th edition, John Wiley & Sons, ISBN Minnaert, M.G.J. (1974). Light and Color in the Outdoors. Springer-Verlag, ISBN *Rees, W.G. (2001). Physical Principles of Remote Sensing. Cambridge University Press, ISBN Serway, R.A. and R.J. Beichner (2000). Physics for Scientists and Engineers, 5 th edition. Saunders College Publishing, ISBN Stephens, G.L. (1994). Remote Sensing of the Lower Atmosphere: an Introduction. Oxford University Press, ISBN HyperPhysics: NASA Remote Sensing Tutorial: Canada Center for Remote Sensing (CCRS) tutorial: NASA Earth Observatory: There is a vast array of other remote sensing information and data available online exploration is encouraged! Course Fees $50 for computer access and software costs.

3 Course Schedule (tentative; subject to change) W 1 Jan 12 W 2 Jan 19 W 3 Jan 26 W 4 Feb 2 W 5 Feb 9 W 6 Feb 16 W 7 Feb 23 W 8 Mar 2 Course topics Introduction Course objectives Definitions Introduction to Remote Sensing MLK holiday Math review and Electromagnetic theory Math review (derivatives, integrals, matrices) Maxwell s equations Electromagnetic Waves in Space Electromagnetic waves Polarization Diffraction Spectra/Harmonics Emission of EM Radiation Definitions Laws (Planck, Wien, Stefan, Kirchoff) Winter Carnival Emission (cont) Interaction of Radiation with Matter - Absorption Interaction of Radiation with Matter - Scattering Single scattering Multiple scattering Phenomena The Atmosphere Structure Composition Optical thickness Phenomena Primary Readings Rees (2001) ch. 1 Jensen (2007) ch. 1 Campbell (2007) ch. 1 Feynman (1963), Vol II, ch.18 Bohren (2001) ch. 10 Bohren (2001) ch. 19, 20; (2006) ch. 3, 4 Bohren (2001) ch. 17 Bohren (2006) ch. 7, 10, 15 Bohren (2001) ch. 20; (2006) ch. 7 Bohren (2001) ch. 11, 17, 18 Bohren (2001) ch. 14, 15 Bohren (2001) ch. 12 Bohren (2001) ch. 6; (2006) ch. 11 Bohren (2006) ch. 6, 12 Bohren (2001) ch. 16; (2006) ch. 13 Bohren (2001) ch. 13, 21

4 W 9 Mar 9 W 10 Mar 16 W 11 Mar 23 W 12 Mar 30 W 13 Apr 6 W 14 Apr 13 W 15 Apr 20 W 16 SPRING BREAK Applications UV satellite sensors Applications UV camera Applications - FTIR Applications Satellite Data Validation Project presentations and review FINAL EXAMS Grading Scheme Assignments and homework: There will be homework, quizzes and laboratory assignments throughout the class, and one semester project. Participants will be expected to present their work to the class. One late homework is allowed but subsequent late homework will not be graded. Image presentation: Each person will select a remote sensing image for presentation to the class. Details are provided here and as a PDF. Semester project: details TBA. Grading Policy: Final grades will be based on homework, quizzes and labs (30%), mid-term exam (20%), semester project (20%), and final exam (30%). Grading System Letter Grade Percentage Grade points/credit Rating A 93% & above 4.00 Excellent AB 88% 92% 3.50 Very good B 82% 86% 3.00 Good BC 76% 81% 2.50 Above average C 70% 75% 2.00 Average CD 65% 69% 1.50 Below average D 60% - 64% 1.00 Inferior F 59% and below 0.00 Failure I Incomplete; given only when a student is unable to complete a segment of the course because of circumstances beyond the student s control. A grade of incomplete may be given only when approved in writing by the department chair or school dean.

5 X Conditional, with no grade points per credit; given only when the student is at fault in failing to complete a minor segment of a course, but in the judgment of the instructor does not need to repeat the course. It must be made up within the next semester in residence or the grade becomes a failure (F). A (X) grade is computed into the grade point average as a (F) grade. Course Policies Attendance is expected, but will not be factored into the final grade. A reasonable number of justified absences (e.g., due to conference attendance, job interviews, or field work) are permitted. Collaboration/Plagiarism Rules Please refrain from using cell phones, Blackberries, ipods, PDAs, or any other electronic devices in the classroom. A calculator will be useful. Information exchanges on these devices during class are also prohibited and violate the Academic Integrity Code of Michigan Tech. University Policies Academic regulations and procedures are governed by University policy. Academic dishonesty cases will be handled in accordance the University's policies. If you have a disability that could affect your performance in this class or that requires an accommodation under the Americans with Disabilities Act, please see me as soon as possible so that we can make appropriate arrangements. The Affirmative Action Office has asked that you be made aware of the following: Michigan Tech complies with all federal and state laws and regulations regarding discrimination, including the Americans with Disabilities Act of If you have a disability and need a reasonable accommodation for equal access to education or services at Michigan Tech, please call the Dean of Students Office, at For other concerns about discrimination, you may contact your advisor, department head or the Affirmative Action Office, at Academic Integrity: Affirmative Action: Disability Services: Equal Opportunity Statement: