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Syllabus for

Academic year
RRY055 - Remote sensing
 
Syllabus adopted 2013-02-14 by Head of Programme (or corresponding)
Owner: MPWPS
7,5 Credits
Grading: TH - Five, Four, Three, Not passed
Education cycle: Second-cycle
Major subject: Electrical Engineering, Engineering Physics
Department: 75 - EARTH AND SPACE SCIENCES


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

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0107 Examination 7,5 c Grading: TH   7,5 c   12 Mar 2014 pm V,  14 Jan 2014 am M,  18 Aug 2014 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:

Bitr professor  Johan Mellqvist
Docent  Leif Eriksson
Professor  Patrick Eriksson



Eligibility:

For single subject courses within Chalmers programmes the same eligibility requirements apply, as to the programme(s) that the course is part of.

Course specific prerequisites

Basic knowledge about electromagnetic waves and spectroscopy.

Aim

Remote sensing is an important tool for environmental monitoring, numerical weather prediction and other fields. For example, remote sensing has been vital for our understanding of ozone depletion 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 the observation. 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 extraction 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, photometric systems, DOAS, IR sensors, 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 group laboratory work

Literature

"Physical principles of remote sensing" by W.G. Rees (ISBN 0-521-66948-0) and a compendium by the course lecturers.

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: Mon 28 Nov 2016.