Stockholm university logo, link to start page
Gå till denna sida på svenska webben

Advanced Remote Sensing

  • 15 credits

The course addresses the processing of remote sensing data for applied environment monitoring and analysis.

Included in the course material is enhanced theory regarding remote sensing’s physical basis, data calibration and correction, image processing algorithms and data quality issues including validation. Learning outcomes:

  • Explain the principles of calibration and image processing for satellite and airborne sensors
  • Evaluate and analyse image data from satellites using advanced image processing methods
  • Evaluate data quality in remote sensing products

The course is part of Master's Programme in Geomatics with Remote Sensing and GIS. The course can also be read as a separate course.

A Sentinel-1 radar dataset over Malmö in southern Sweden and the Öresund bridge.
A Sentinel-1 radar dataset over Malmö in southern Sweden and the Öresund bridge. The image shows changes over time. Photo Ian Brown.
  • Course structure

    Modules

    • Theory and Practice, 8 credits
    • Project, 7 hp

    Teaching format

    Instruction consists of seminars, exercises and project work.

    Assessment

    For details see syllabus.

    Examiner

    Ian Brown

  • Schedule

    The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.
  • Course literature

    Note that the course literature can be changed up to two months before the start of the course.
  • More information

    Limitations

    The course may not be included in examinations in combination with course Remote Sensing and Digital Image Processing (GE7031) or equivalent.

  • Contact

    Registration is normally done at the beginning of each semester. 

    Student office
    Kerstin Hörnby
    E-mail: kerstin.hornby@natgeo.su.se

    Study counsellor
    Maria Damberg
    E-mail: maria.damberg@natgeo.su.se

    Course responsible
    Ian Brown
    E-mail: ian.brown@natgeo.su.se