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Center for Remote Sensing

Center for Remote Sensing

ABE4034/EEL3042: Remote Sensing in Engineering

Undergraduate Course

ABE 4034/EEL 3042: Remote Sensing in Engineering: Science, Sensors and Applications

Semester Taught: Spring

Catalog Description

Credits: 3

To develop an understanding of remote sensing theory, systems and applications using information obtained from the visible/near infrared, thermal infrared and microwave regions of the EM spectrum.

Pre-requisites/Co-requisites

MAP 2302 or equivalent.

Course Objectives

The main objective of the course is to develop an understanding of remote sensing theory and systems in visible; near-, mid-, and thermal-infrared; and microwave regions of the EM spectrum.

The course is designed for upper division undergraduate students who have a strong background in differential and integral calculus, and preferably, in applied physics. Graduate students from non-ABE departments with similar skills may take this course as well. It is primarily a lecture-based course with two exams, a project, quizzes, and homework assignments. This course is also a pre-requisite to a more application-oriented course, ABE 6262: Remote Sensing in Hydrology, which will be taught during the fall of even year.

Contributions of Course to Meeting the Professional Component for ABET

This elective course counts for 3 credit hours in the ABE and the EE program.

Relationship of Course to Program Outcomes

From the list of (1) through (11) program outcomes listed below, this course addresses the following: (1), (3), (5), (7), (9), and (11).

ABET Program Outcomes

  1. Apply knowledge of mathematics, science, and engineering
  2. Design and conduct experiments, as well as analyze and interpret data
  3. Design a system, component, or process to meet desired needs
  4. Function on multi-disciplinary teams
  5. Identify, formulate, and solve engineering problems
  6. Understand professional and ethical responsibilities
  7. Communicate effectively
  8. Understand the impact of engineering solutions in a global and societal context
  9. Recognize the need for, and engage in life long learning
  10. Understand contemporary engineering issues
  11. Use the techniques, skills, and modern engineering tools necessary for engineering practice

Instructor

Jasmeet Judge
275 Rogers Hall
P.O. Box 110570
Gainesville, FL  32611

(352) 392-1864, ext 299
jasmeet@ufl.edu

 

Material/Supply Fees

None.

Class Materials Required

No Textbook Required. Handouts provided in class.

Recommended Reading

  • Ulaby, F.T., Fundamentals of Applied Electromagnetics, Prentice Hall, 2001.
  • Ulaby F.T., R.K. Moore, and A.K. Fung, Microwave Remote Sensing: Volume I, Fundamentals and Radiometry, Addison-Wesley, 1981
  • Schott, J., Remote Sensing: The Image Change Approach, Oxford University Press, 1997.

Course Outline

PART I: Science and Theory of Remote Sensing
Introduction Electromagnetic (EM) spectrum.
Applications of remote sensing.
Particle theory of radiation interaction.
EM Wave theory and interaction.
Atmospheric interactions.
Radiative transfer theory in VI/IR/Microwave.
PART II: Sensors in Remote Sensing
Sensors used in the Visible, TIR, and microwave regions Mirrors and Lenses.
Antenna design and radiation pattern.
System characteristics of the sensors including key devices used.
Design, calibration and performance issues.
Introduction to satellite and wireless communication.
PART III: Remote Sensing Applications to Engineering
Lectures will be based upon topics of student presentations.

 

Attendance and Expectations

Unless a legitimate reason is provided, homework assignments turned in after the due date will count for 25% less than the scored points. The assignments turned in after the next class past the due date will not be counted at all. Problems assigned are due in my office by 5:00pm on the day specified for full credit (10% deduction/day thereafter. Maximum deduction is 50%).

Cell phone and musical device use is not allowed during class.

Grading

No make-up exams will be given except for valid medical reasons or unless prior arrangements have been made.

Grading Scale
A 91-100% D 61-70%
B 81-90% E <61%
C 71-80%    

 

Grading Method
3 exams 75%  (15% each)
Quizzes  (two lowest scores will not be counted) 10%
Homework 25%
Project 15%

 

Academic Honesty

All students admitted to the University of Florida have signed a statement of academic honesty committing themselves to be honest in all academic work and understanding that failure to comply with this commitment will result in disciplinary action. This statement is a reminder to uphold your obligation as a UF student and to be honest in all work submitted and exams taken in this course and all others.

Accommodation for Students with Disabilities

Students requesting classroom accommodation must first register with the Dean of Students Office. That office will provide the student with documentation that he/she must provide to the course instructor when requesting accommodation.

Use of Library, Personal References, PC Programs & Electronic Databases

These items are university property and should be utilized with other users in mind. Never remove, mark, modify nor deface resources that do not belong to you. If you're in the habit of underlining text, do it only on your personal copy. It is inconsiderate, costly to others, and dishonest to use common references otherwise.

Software Use

All faculty, staff and students of the University are required and expected to obey the laws and legal agreements governing software use. Failure to do so can lead to monetary damages and/or criminal penalties for the individual violator. Because such violations are also against University policies and rules, disciplinary action will be taken as appropriate. We, the members of the University of Florida community, pledge to hold ourselves and our peers to the highest standards of honesty and integrity.

UF Counseling Services

Resources are available on-campus for students having personal problems or lacking clear career and academic goals which interfere with their academic performance. These resources include: