About

Description:

Remote sensing is a powerful tool for earth observation; it is also a solid scientific
discipline developed from physics and chemistry. The objectives of this course are to help students
understand: (1) What is remote sensing? (2) What are the backbone sciences of remote sensing? (3)
How can remote sensing be utilized to study our environments? The course will focus on remote
sensing theories and applications. Upon completion of this course, students should understand the basic
concepts and theories of remote sensing, and be able to use it to study the environment

Course materials

There are no textbooks for this course but only the instructor’s class notes since course
materials will be substantially updated and revised every semester. Additional reading materials and
data will be provided by the instructor.

Recommended textbooks:

Jensen, J. R. 2004. Introductory digital image processing: A remote sensing prospective. 3rd edition. Prentice Hall, Upper Saddle River, NJ. Schowengerdt, R. A. 1997. Remote sensing: Models and methods for image processing. Academic Press, San Diego, CA.

Evaluation

Quiz 5%  4
Mid-term exam 30%
Final exam 30%
Final group presentation 20%

There will be 6 in-class quizzes and only 4 of them with the highest scores will be counted for your grades. There will be one mid-term and one final exams, and both of them are in-class and close-book exams. The exams may include fill in the blank, multiple-choice, matching and short essay questions. Some of the previous years’ exams can be found on the course website. The answers should be written in English. Only materials covered in the lectures will be included in the exam. If you can’t make it due to medical emergency, you need to provide a doctor’s note, or there is no make-up exam for you

Course Schedule