SV0012, GIS and forest remote sensing, 7.5 Hp
Print syllabus

Syllabus

Finalized by: PN - S, 2021-11-17
Valid from : Autumn semester 2022 (2022-08-29)

Level

First cycle (G1F)

Main field of study

Forestry Science, Technology

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.

Course language

Swedish

Entry Requirements

Objectives

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

Examination Formats and Requirements for Passing the Course

Approved written exam, approved laboratory reports and written assignments.

Responsible Department/Equivalent

Department of Forest Resource Management

Supplementary information

Included in program

• Forest Science (BSc)

Module set

Title	Credits	Code
Single module	7.5	0101

Other 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.