autumn 2016 BIO-3111 GIS and remote sensing - 10 ECTS
Admission requirements
Local admission , application code 9371 - - Master`s level singular course.
Admission requires a Bachelor`s degree (180 ECTS) or equivalent qualification, with a major in biology of minimum 80 ECTS.
Recommended prerequisites: Students should have some familiarity with geographic information systems (GIS), basic statistics and general knowledge of practical use of computers.
Course overlap
If you pass the examination in this course, you will get an reduction in credits (as stated below), if you previously have passed the following courses:
BIO-3111 GIS and Landscape Ecology 10 stpMILJØ-310 Quantitative ecology 9 stp
BIO-8102 Geographical information systems (GIS) and remote sensing data 10 stp
Course content
An important tool when performing ecological and environmental analysis is GIS and satellites as providers of spatial data. The theory and application of satellite remote sensing will be covered in the course. The lectures focus on the fundamentals of electromagnetic radiation, reflection and absorption, satellite and sensor technology, map projections, and digital image analysis. The main features and principles of raster GIS will be covered. In addition the theoretical background of geographical positioning systems (GPS) and its integration with GIS will be given. The course emphasizes practical GIS computer lab PC- exercises. Exercises focus on basic GIS-operation, image processing and the use of remote sensing data. At the end of the course students will be given a data set and complete a GIS project with a written report.Objectives of the course
Give students the necessary theoretical background and practical skill to be able to work independently with GIS, GPS technology and remote sensing data. Make the students understand the analytic potential that GIS and remote sensed data represent in ecological an environmental studies.Recommended reading/syllabus
For a general introduction to remote sensing Lillesand, T.M. et al. (2008) is recommended as a reference book (Lillesand, T. M., Kiefer, R. W. and Chipman, J.W. 2008. Remote sensing and image interpretation. 6th ed. New York, Chichester, Brisbane, Toronto, Singapore: John Wiley & Sons, Inc.).Error rendering component
- About the course
- Campus: Tromsø |
- ECTS: 10
- Course code: BIO-3111
- Responsible unit
- Institutt for arktisk og marin biologi