Semester Offering: August
 

This course is designed to provide fundamental knowledge and theories of microwave remote sensing. After reviewing the fundamentals of electromagnetics, both real aperture and synthetic aperture radar systems are to be introduced including physical principles.

 

Fundamental knowledge of electromagnetics at undergraduate level.

 

I.            Introduction & Preparation
1.    Introduction
2.    Vector
3.    Divergence
4.    Rotation
5.    Electromagnetics

II.          Interaction of electromagnetic radiation with matter
1.    Maxwell’s equations
2.    Helmholtz equation
3.    Dielectric constant
4.    Scattering
- Geometric scattering
- Volume scattering
- Rayleigh roughness criterion
- Models for microwave scattering
5.    Polarization
 
III.       Active microwave remote sensing
1.    Real Aperture Radar (RAR)
2.    Synthetic Aperture Radar (SAR)
- Range compression
- Azimuth compression
- Distortion
- Speckle noise
- Interferometry
 
IV.       Passive microwave remote sensing
1.     Radiative transfer equation
2.     Emissivity
3.     Brightness temperature
4.     Soil moisture estimation

 

Lecture notes provided by the instructor

 

Fawwaz T. Ulaby, Richard K. Moore, Adrian K. Fung, Microwave Remote Sensing: Active and Passive, Volume I: Fundamentals and Radiometry, Artech House Publishers, 1986,

Fawwaz T. Ulaby, Richard K. Moore, Adrian K. Fung, Microwave Remote Sensing: Active and Passive, Volume II: Radar Remote Sensing and Surface Scattering and Emission Theory, Artech House Publishers, 1986,

C. Elachi, J. van Zyl
Introduction to the Physics and Techniques of Remote Sensing (2nd Ed.),
Wiley-Interscience, 2006.

G. Franceschetti, R. Lanari, Synthetic Aperture RADAR PROCESSING, CRC Press, 1999.

J.C.Curlander, R.N.McDonough,
Synthetic Aperture Rader: Systems and Signal Processing (Wiley Series in Remote Sensing and Image Processing), 1991.

C. Elachi,
Spaceborne Radar Remote Sensing: Applications and Techniques, IEEE Press, 1988.

 

• IEEE Transaction on Geoscience and Remote Sensing
• International Journal of Remote Sensing
• Journal of Geophysical Research
• Journal of Hydrology

 

The final grade will be computed according to the following weight distribution:

Mid-semester Exam (40%)
Final Exam (40%)
Assignments (20%).