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,

Radar Imagery: Theory and Interpretation, Food and Agriculture Organization of the United Nations,
      Rome, 1993,

J. IIzaka,
      Synthetic Aperture Handbook, Asakura Syoten, 1998 (in Japanese)

W. G. Rees,
      Physical Principles of Remote Sensing (Second Edition), Cambridge University Press, 2001,

K. Ouchi,
      Principles of Synthetic Aperture Radar for Remote Sensing, Toukaidai Publications, 2004 (in Japanese),

I. G. Cumming and F. H. Wong,
      Digital Processing of Synthetic Aperture Radar Data, Artech House Publishers, 2005.


- 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%)