Credits: 5

Schedule: 09.09.2019 - 12.12.2019

Contact information for the course (applies in this implementation): 

Jaan Praks
Assistant Professor 
Room: 2153 (TUAS)

Teaching Period (valid 01.08.2018-31.07.2020): 

I-II 2018 - 2019 (autumn)
I-II 2019 - 2020 (autumn)

Learning Outcomes (valid 01.08.2018-31.07.2020): 

  • After the course the student is ready to work with microwave remote sensing data in a research project. 
  • He/she can classify microwave instruments used in remote sensing, explain their functioning principles, sketch the structure, and calculate key performance parameters. 
  • The student understands the physics of microwave interaction with natural medium and can interpret target properties based on measured microwave signatures. 
  • He/she can distinguish between electrical properties of snow, water and soil. The student can make a basic interpretation of typical features in microwave radar and radiometer images.

Content (valid 01.08.2018-31.07.2020): 

  • Microwave interaction with nature. Dielectric properties of natural media. 
  • Blackbody radiation, emission, scattering, absorption, backscattering.
  • Radiative transfer, radar equation.
  • Microwave radiometer and radar; components, structure and performance parameters. 
  • Synthetic aperture radar, interferometric radiometer, image formation.
  • Interferometry, polarimetry, polarimetric interferometry. 
  • Image interpretation and applications. 
  • Missions and sensors.

Details on the course content (applies in this implementation): 

  • Microwave remote sensing, passive and active, wave propagation physics 
  • Radiometer, different radiometer types, brightness temperature, radiometer images, radiometer applications
  • Radar, radar equation, radar measurement physics, imaging radar, measured quantities
  • Synthetic Aperture Radar (SAR), principles, image formation
  • SAR Interferometry, measurement types, application areas
  • SAR polarimetry, measurement, polarimetric decompositions, application areas 
  • Practical SAR image processing skills
  • Practical measurements with simple radar, simple signal processing

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

Laboratory work, workshop, homework exercises and examination.

Elaboration of the evaluation criteria and methods, and acquainting students with the evaluation (applies in this implementation): 

Evaluation is based on 5% of lecture participation, 40% on homework results, 20% on project work 35% on examination results. 

Workload (valid 01.08.2018-31.07.2020): 

Contact teaching 28 h. Independent work 72 h (exercises). Group work 15 h. Studying for exam 20 h.

Details on calculating the workload (applies in this implementation): 28 hours of contact teaching, lectures and workshops. Independent work on homework and projects. 

Details on the course materials (applies in this implementation): 

The course is partly based on, and we recommend the wonderful book by Fawwaz T. Ulaby and David G. Long, "MICROWAVE RADAR AND RADIOMETRIC REMOTE SENSING". The book has also rich selection of background material available at:

Substitutes for Courses (valid 01.08.2018-31.07.2020): 

S-92.3132 Remote Sensing

Course Homepage (valid 01.08.2018-31.07.2020):

Prerequisites (valid 01.08.2018-31.07.2020): 

ELEC-E4210 Introduction to space

Electromagnetics, engineering mathematics, radio engineering basics.

Grading Scale (valid 01.08.2018-31.07.2020): 


Registration for Courses (valid 01.08.2018-31.07.2020): 


Further Information (valid 01.08.2018-31.07.2020): 

language class 3: English

Details on the schedule (applies in this implementation): 

One lecture and one workshop every week.


Registration and further information