LAITS' Teaching

Spring 2006 EOS 760 Advanced Remote Sensing Applications

Instructor: Dr. Wenli Yang
Laboratory for Advanced Information Technologies and Standards (LAITS)
George Mason University
6301 Ivy Lane, Suite 620
Greenbelt, MD 20770
Tel: 301-230-0370, E-mail:yang@rattler.gsfc.nasa.gov

Guest Lecturer: Dr. Eugene Yu
Laboratory for Advanced Information Technologies and Standards (LAITS)
George Mason University
6301 Ivy Lane, Suite 620
Greenbelt, MD 20770
Tel: 301-220-0353, E-mail:gyu@gmu.edu

Course Discription:

This course will focus on the applications of remote sensing in some important areas of the earth system studies. The first two sessions of the course will be of introduction/review nature. Materials covered in these sessions will include operational remote sensing systems (platforms and sensors), data acquisition techniques, calibration and correction of remote sensing data. The rest of the course will be in-depth discussions of remote sensing applications to such areas as surface radiation budget, land use/cover, forest, agriculture, hydrology, and natural hazards. For each application area, there will be two parts: a) the nature of the problem and the theoretical bases of the applicable algorithms/techniques; and b) review and discussion of actual application examples, including methodology, implementation procedures, results, discussions, and summary/conclusions. The course will be highly interactive.


Course Materials:

The course will primarily use journal articles in the related application areas as discussion materials. No text book is required but students are encouraged to read the following reference books:

1. Quantitative Remote Sensing of Land Surfaces, Shunlin S. Liang, Wiley & Sons, 2003.
2. Theory and Applications of Optical Remote Sensing, Ghassem Asrar, Wiley & Sons, 1989.
3. Remote Sensing of Environment: an Earth Resource Perspective, John Jensen, Prentice Hall, 2000.

Assignments:

1. Critiques: For each of the five application areas, each student will select one article, write a 2- to 3-page critique, and make a 5- to 10-minute presentation.
2. Course project: Each student will design and conduct a project in his/her interested application area, write a 15- to 20-page (double space) project report and give a 20-minute presentation at the end of the semester.

Grading:

Critiques: 40 (8 for each critique)
Course project: 60

A+ : 95-100
A : 90-94
A-: 85-90
B : 80-84
B-: 75-79
C : 70-74
D : 60-69
F : <60

Class Schedule (tentative):

  Week 1: Introduction
    a) Scope of the course
b) Remote sensing as source of information and data acquisition techniques
c) Operational remote sensing systems.
  Week 2: Correction and calibration of optical remote sensing data
    a) Atmospheric effects and corrections
b) Radiometric calibration
c) Geometric distortions and corrections
  Weeks 3 and 4: Radiation budget
    a) Theoretical bases and algorithms
b) Retrieval of albedo and land surface temperature, energy balance modeling
  Weeks 5 and 6: Forest and Agriculture
    a) Theoretical bases and algorithms
b) Forest structure, classification, forest/agriculture production estimation
  Weeks 7 and 8: Land use/cover
    a) Theoretical bases and algorithms
b) Land use/cover classification schema
c) Land use/cover classifications and change detection
  Weeks 9 and 10: Hydrology
    a) Theoretical bases and algorithms
b) Inland and coastal water quality, soil moisture, surface runoff, precipitation
  Weeks 11 and 12: Natural hazards
    a) Theoretical bases and algorithms
b) Landslide, fire, flood (note: flood may be discussed in hydrology session)
  Week 13 Flexible
    This time slot can be any week between 5 and 13. It is primarily to make room for topic(s) that may be of greater interest to the class and need(s) more time to discuss.
  Week 14: Student presentations
     
 

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George Mason University, 6301 Ivy Lane, Suite 620, Greenbelt, MD 20770 USA