Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

  • 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.

Credits: 5

Schedule: 04.09.2023 - 07.12.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Jaan Praks

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

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    • 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.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Homework exercises, project work and examination.

Workload
  • valid for whole curriculum period:

    Contact teaching 54 h. Independent work 54 h (exercises). Remote sensing image analysing project 25 h.

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn I - II
    2023-2024 Autumn I - II

    Enrollment :

    Registration for Courses on Sisu (sisu.aalto.fi).