GIS and forest remote sensing
Course evaluation
The course evaluation is now closed
SV0012-20057 - Course evaluation report
Once the evaluation is closed, the course coordinator and student representative have 1 month to draft their comments. The comments will be published in the evaluation report.
Additional course evaluations for SV0012
Academic year 2023/2024
GIS and forest remote sensing (SV0012-20036)
2023-10-31 - 2023-11-30
Academic year 2022/2023
GIS and forest remote sensing (SV0012-20079)
2022-11-01 - 2022-12-01
Syllabus and other information
Syllabus
SV0012 GIS and forest remote sensing, 7.5 Credits
GIS och skoglig fjärranalysSubjects
Technology Forestry Science Forestry Science TechnologyEducation cycle
Bachelor’s levelModules
Title | Credits | Code |
---|---|---|
Single module | 7.5 | 0101 |
Advanced study in the main field
First cycle, has less than 60 credits in first-cycle course/s as entry requirementsBachelor’s level (G1F)
Grading scale
The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.
Language
SwedishPrior knowledge
7.5 hp Mathematical statisticsObjectives
The aim of the course is for the student to gain a basic understanding and practical handling of Geographic Information Systems (GIS) with a special focus on forest applications. This through basic GIS theory of: data collection; projections and reference systems; geographic data structures; spatial analyzes and visualization.
After completing the course, the student should be able to
understand basic GIS theory
perform edits in different data structures
make searches (non- / spatial) in large amounts of data
present geographical data in map form
perform simple spatial analyzes
explain basic concepts and approaches in remote sensing,
describe methods for how data is collected with remote sensing and how these methods affect the precision and the type of variables that are generated
explain which data sources are available, their basic properties and products from them.
Content
The course is bases on self study, lectures, practical computer exercises and simple field measurement. The course is structured in five teaching blocks, where each block contains a theory and a practical part. In parallel with these, there will be examples of forest applications and guest lectures, to show important data sources and working methods.
Block 1, Introduction to GIS, theoretical foundations in modeling the world, geodesy and data structures with a focus on vector data. Exercise in digitization and editing as well as map production.
Block 2, Theory vector-based analyzes. Exercise in geodatabase management, spatial and non-spatial searches and spatial analyzes in vector data.
Block 3, Data collection in the field, including Check-out / check-in of data from geodatabase.
Block 4, Theory raster-based analyzes. Exercise in geodatabase management, spatial and non-spatial searches and spatial analyzes in raster data.
Block 5, Theory introduction to remote sensing. Exercise in classification of satellite images and forest estimates based on laser data and presentation of existing data sources of geographical information for forest applications.
The Forestry Science content is divided into sub-areas as follows:
2 credits Objective, planning and policy
2 credits Work processes
3,5 credits Other in Forestry Science
Grading form
The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.Formats and requirements for examination
Approved written exam, approved laboratory reports and written assignments.
If a student has failed an examination, the examiner has the right to issue supplementary assignments. This applies if it is possible and there are grounds to do so.
The examiner can provide an adapted assessment to students entitled to study support for students with disabilities following a decision by the university. Examiners may also issue an adapted examination or provide an alternative way for the students to take the exam.
If this syllabus is withdrawn, SLU may introduce transitional provisions for examining students admitted based on this syllabus and who have not yet passed the course.
For the assessment of an independent project (degree project), the examiner may also allow a student to add supplemental information after the deadline for submission. Read more in the Education Planning and Administration Handbook.
Other information
The right to participate in teaching and/or supervision only applies for the course instance the student was admitted to and registered on.
If there are special reasons, students are entitled to participate in components with compulsory attendance when the course is given again. Read more in the Education Planning and Administration Handbook.
Additional information
The right to take part in teaching and/or supervision only applies to the course date to which the student has been admitted and registered on.If there are special reasons, the student may take part in course components that require compulsory attendance at a later date. For more information on this, please refer to the regulations for education at Bachelor’s and Master’s level.SLU is environmentally certified according to ISO 14001. A large part of our courses cover knowledge and skills that contribute positively to the environment. To further strengthen this, we have specific environmental goals for the education. Students are welcome to suggest actions regarding the course’s content and implementation that lead to improvements for the environment. For more information, see webpage www.slu.se.
Responsible department
Department of Forest Resource Management
Further information
Litterature list
Harrie, L. (red.) 2013. Geografisk Informationsbehandling – teori, metoder och tillämpningar.
Upplaga 7, ISBN 978-91-44-13174-0.
https://www.studentlitteratur.se/kurslitteratur/naturvetenskap-och-
miljo/geovetenskap/geografisk-informationsbehandling/
Sjätte upplagan är också ett alternativ (ISBN 978-91-44-08877-8). Äldre upplagor
fungerar också för delar av denna kurs, men inte för fjärranalysmoment.