Course Name	Fundamentals of Remote Sensing for Agriculture
Credits	3
Professor(s)	Name	Min Won Jang
	Affiliation	Dept. of Agricultural Engineering

COURSE DESCRIPTION

Course Objectives

Remote Sensing is the science and art of acquiring information (spectral, spatial, temporal) about material objects, area, or phenomenon, without physical contact. This course aims to provide students with a working knowledge as well as the theory of remote sensing. The course is comprised of lectures, hands-on exercises and term projects. Throughout the course,  students will have the foundation for advanced applications with remotely sensed data.

MAIN TEXTBOOK and FURTHER READINGS

Lillesand, T., R. W. Kiefer, and J. Chipman, 2007, Remote Sensing and Image Interpretation

Jensen, J. R., 2006, Remote Sensing of the Environment

ASSIGNMENTS AND GRADING

Assignments: Term Project

Grading Scheme: Homework 20%, Term Project 40%, Midterm Exam 20%, Attendance 10%, Etc. 10%

COURSE SCHEDULE

Course Outline

1st: Introduction to Remote Sensing for Agriculture. Review the course curriculum

2nd: Introduction to IMAGINE (ERDAS) and the concepts of remote sensing

3rd: Reviewing the applications of remote sensing technology for agriculture

Homework#1 - surveying the successful applications of RS for agriculture

4th: Basic principles of remote sensing: electromagnetic radiation

5th: Introduction to land observation satellites

Homework#2 - surveying the current satellite systems

6th: Image preprocessing 1/2

Exercise#1 - importing, subset, and enhancement of satellite images

7th: Image preprocessing 2/2

Exercise#2 - radiometric/geometric correction, registration, data fusion

Midterm exam

8th: Vegetation indices

Exercise#3 - mapping vegetation indices

9th: Image classification: unsupervised classification

Exercise#4 - unsupervised classification and layout making

10th: Image classification: supervised classification

Exercise#5 - supervised classification

11th: Change detection

Exercise#6 - change detection of land-cover, vegetation, etc.

12th: Field data in remote sensing and accuracy assessment

Term project 1/3

13th: Basic principles of high resolution sensing, internet services

Term project 2/3

Homework#3: googling satellite-based map services

14th: Basic principles of microwave and lidar sensing

Term project 3/3

15th: Final presentation of term project

Discussion - consideration for the future

CONTACT DETAILS

Tel: 055-751-5432                           e-mail: mwjang@gnu.ac.kr