LAITS' Teaching

SCS 759-002 Remote Sensing Applications

Instructor: Wenli Yang
Laboratory for Advanced Information Technologies and Standards (LAITS)
George Mason University
9801 Greenbelt Road, Suite 316-317
Lanham, MD 20706
Tel: 301-552-9360, E-mail:yang@rattler.gsfc.nasa.gov

Guest Lecturer: Ramesh Singh
George Mason University
4400 Universtiy Drive, Room 1080, David Kind, Fairfax Compus
Fairfax, Virginia, MD 22030
Tel: 703-993-8409, E-mail:rsingh3@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 three 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, principle of microwave remote sensing. 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, inland and coastal waters, and soil moisture. 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.


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. Principles and Applications of Imaging Radar, Manual of Remote Sensing, Vol.2, Henderson Lewis, ASPRS, 1998.

Assignments:

1. Critiques: For each of the five application areas, each student will select one article, write a 2-page critique, and make a 3- to 5-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 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 : 90-100
A-: 85-90
B : 80-84
B-: 75-79
C : 70-74
D : 60-69
F : <60

Class Schedule:

  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
  Week 3: Principle of microwave remote sensing
    a) Theoretical base
b) Fundamentals of imaging radar
  Weeks 4 and 5: Radiation budget
    a) Theoretical bases and algorithms
b) Retrieval of albedo and land surface temperature, energy balance modeling
  Weeks 6 and 7: Forest
    a) Theoretical bases and algorithms
b) Forest structure, classification, and productivity
  Weeks 8 and 9: Land use/cover
    a) Theoretical bases and algorithms
b) Land use/cover classification schema
c) Land use/cover classifications and change detection
  Weeks 10 and 11: Inland and Coastal waters
    a) Theoretical bases and algorithms
b) Suspended sediments, chlorophyll, and biomass concentrations
  Weeks 12 and 13: Microwave remote sensing application
    a) Soil moisture
b) Agriculture and forestry
e) Other applications (time permit)
  Week 14: Student presentations
     
 

Copyright Laboratory for Advanced Information Technology and Standards, 2002-2005
George Mason University, 6301 Ivy Lane, Suite 620, Greenbelt, MD 20770 USA