Applied Remote Sensing and GIS for Landscape Analysis
This course will provide you with an understanding of the tools and methods needed for processing geodata for geoscientific and environmental research applications.
The course covers theory and applications of spatial analysis, modeling and visualization in landscape analysis, using remote sensing and GIS. During the course students are trained in software familiarization and methods for processing and visualization in scientific work.
This knowledge is much sought after in the workplace with our alumni working in local government, agencies and consultancies.
The course is part of Master's Programme in Geomatics with Remote Sensing and GIS (period A-B) and Master's Programme in Landscape Ecology period C-D. The course can also be read as a separate course.
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Course structure
Modules
- Remote Sensing, 7.5 credits
- GIS, 7.5 credits
Teaching format
Instruction consists of lectures, seminars, exercises and project work.
Learning outcomes
After the course, students are expected to be able:
- to critically evaluate research findings by reproducing and analyzing selected portions of published research
- to use remote sensing and GIS in physical geographical analyses
- to formulate and carry out independent projects with the use of remote sensing and GIS
- to extract and process quantitative geo- and biophysical measurements from geodata
Assessment
For details see syllabus.
Examiner
Ian Brown
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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.
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Course reports
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Contact
Registration is normally done at the beginning of each semester.
Student office
Kerstin Hörnby
E-mail: kerstin.hornby@natgeo.su.seStudy counsellor
Maria Damberg
E-mail: maria.damberg@natgeo.su.seCourse responsible
Ian Brown
E-mail: ian.brown@natgeo.su.se
