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Graduate courses

Departments' graduate courses for PhD-students.

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Syllabus for

Academic year
RRY055 - Remote sensing  
 
Syllabus adopted 2015-02-11 by Head of Programme (or corresponding)
Owner: MPWPS
7,5 Credits
Grading: TH - Five, Four, Three, Fail
Education cycle: Second-cycle
Major subject: Electrical Engineering, Engineering Physics
Department: 70 - SPACE, EARTH AND ENVIRONMENT


Teaching language: English
Open for exchange students
Block schedule: C

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0107 Examination 7,5c Grading: TH   7,5c   14 Mar 2018 pm M,  05 Jun 2018 am SB,  20 Aug 2018 am M

In programs

MPCOM COMMUNICATION ENGINEERING, MSC PROGR, Year 1 (compulsory elective)
MPPAS PHYSICS AND ASTRONOMY, MSC PROGR, Year 2 (elective)
MPWPS WIRELESS, PHOTONICS AND SPACE ENGINEERING, MSC PROGR, Year 1 (compulsory elective)

Examiner:

Professor  Patrick Eriksson



Eligibility:


In order to be eligible for a second cycle course the applicant needs to fulfil the general and specific entry requirements of the programme that owns the course. (If the second cycle course is owned by a first cycle programme, second cycle entry requirements apply.)
Exemption from the eligibility requirement: Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling these requirements.

Course specific prerequisites

Basic knowledge about electromagnetic waves and spectroscopy.

Aim

Remote sensing is an important tool for environmental monitoring, meteorology and other fields. For example, remote sensing is vital for our understanding of the depletion of the ozone layer and global climate changes, and this role will continue to increase in importance. The research field is multi-disciplinary and encompasses instrument techniques, physics, mathematical methods as well as the geophysical applications. The objective of the course is to give an integrated overview of these system components, with a special emphasis on the basic physical and instrument principles of remote sensing observations. The aim is to give a fundamental understanding of possibilities and limitations of different observation techniques used in remote sensing, and their main applications. This knowledge shall allow simpler usage of remote sensing data and continued studies in the field.

Learning outcomes (after completion of the course the student should be able to)

  • discern and explain the physical processes that have a significant influence on different observations. This includes quantitative calculations on simple model systems.
  • simulate the radiative transfer for situations restricted to specular surface reflections and no scattering within the atmosphere.
  • select possible observation techniques.
  • describe the complete data flow, from actual observation to final geophysical analysis. Give examples of useful supporting data. Show an understanding of how the data retreival can be performed.
  • discuss basic measurements characteristics, such as coverage and resolution in space and time, and main random and systematic error sources.

Content

The physical principles / concepts and observation techniques discussed in the course include: the Stokes vector, complex refractive index, absorption, emission, particle / surface / volume scattering, radiative transfer equations, basic properties of the atmosphere and common materials, pressure broadening, passive / active techniques, DOAS, radiometers, laser profilers, altimeters, radars, SAR, main applications and limitations of discussed techniques, observation platforms, satellite orbits, spatial / wavelength / temporal coverage and resolution, precision, accuracy, thermal noise, calibration, atmospheric correction, image processing, weighting functions, inversion methods, and error propagation.

Organisation

The course includes lectures, problem solving classes and laboratory work.

Literature

Latest edition of "Physical principles of remote sensing" by W.G. Rees, as well as handouts and compendia that are provided free of charge.

Examination

Written exam and laboratory exercises. The later requires approved reports on performed work. Grading is based solely on the written exam.


Page manager Published: Thu 04 Feb 2021.