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Advanced Remote Sensing

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

Information for admitted students Spring 2021

Congratulations! You have been admitted at Stockholm University and we hope that you will enjoy your studies with us.

In order to ensure that your studies begin as smoothly as possible we have compiled a short checklist for the beginning of the semester.

Follow the instructions on wether you have to reply to your offer or not.
universityadmissions.se

 

Checklist for admitted students

  1. Activate your university account

    The first step in being able to register and gain access to all the university's IT services.

  2. Register at your department

    Registration can be done in different ways. Read the instructions from your department below.

  3. Read all the information on this page

    Here you will find what you need to know before your course or programme starts.

IMPORTANT

Your seat may be withdrawn if you do not register according to the instructions provided by your department.

Information from your department

On this page you will shortly find information on registration, learning platform, etc.

Welcome activities

Stockholm University organises a series of welcome activities that stretch over a few weeks at the beginning of each semester. The programme is voluntary (attendance is optional) and includes Arrival Service at the airport and an Orientation Day, see more details about these events below.
Your department may also organise activities for welcoming international students. More information will be provided by your specific department. 

su.se/welcomeactivities 


Find your way on campus

Stockholm University's main campus is in the Frescati area, north of the city centre. While most of our departments and offices are located here, there are also campus areas in other parts of the city.

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For new international students

Pre-departure information

New in Sweden

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.

Planned teaching (methods) for the course, linked to Covid-19 and the Swedish Public Health Agency's recommendations, will be presented at the Department's website on December 15. 

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