PFG0050 Remote sensing and forest inventory, 15.0 Credits
Subjects Forest Management
Pass / Failed
The requirements for attaining different grades are described in the course assessment criteria which are contained in a supplement to the course syllabus. Current information on assessment criteria shall be made available at the start of the course.
Equivalent 120 credits including
- 60 credits forest sciences or
- 60 credits biology
7 credits basic knowledge in GIT
- English 6.
The aim of the course is that the student acquires theoretical and practical knowledge of
working with data from remote sensing and field inventory and how these are combined to
address issues connected to forestry and forest ecosystems.
Intended learning outcomes
On completion of the course, the student should be able to:
- have knowlege of aims and methods for data collection via remote sensing and field inventory
with the aim of addressing issues in forestry and forest ecosystems.
- explain the physical bases of remote sensing of vegetation in general and forests in particular
- understand and carry out the stages in processing of remote sensing data (collect and prepare
data, pre-processing, classification/estimation/discover changes) and estimation of reliability for
different remote data sources and integrated field inventory data.
- choose and explain appropriate data sources and methods with consideration to application,
scale, data quality and cost, and critically evaluate the derived information.
- plan, carry out and analyse, independently, real inventories appropriate for forest companies
and public authorities which are active within forestry and nature conservation
- have an understanding of development trends for remote sensing and forest inventory both in
Sweden and internationally.
The course includes the theories (via lectures and literature) and applications (including
computer exercises) that are used within remote sensing and forest inventory, how these data
sources are integrated and their use in different applications (from the forest companies’
inventories to global inventories of greenhouse gases). Common remote sensing data are air
photos, satellite images and laser scanning data. Furthermore, guest lectures by individuals
from forest companies, student-run seminars for advanced understanding of the course content
and knowledge of research are included in Sweden and internationally via use of scientific
writings and contact with researchers. The focus of the course is on the need of data and
information by forestry and society for different decision making purposes, mainly regarding
forestry measures. The course also includes processing of remote sensing data and data
collection for ecological and environmental applications, connected to Sweden’s environmental
monitoring program (e. g., the National Forest Inventory and National Inventory of Landscapes
in Sweden- NILS). The course is concluded with joint project work regarding remote sensing
and field inventory are combined to retrieve information which highlight special issues.
Compulsory components are exercises, seminars, group assignments, examinations and the
Formats and requirements for examination
Passing the course requires:
- Participation in compulsory parts
- Passed written examination and final examination
- Accomplished and passed project work and oral and written presentation
The course GIT I at SLU or the like course on other universities give sufficient prior knowledge
of GIT. Basic knowledge in statistics and inventory is desirable but no requirement. The course
Inventory and statistics at SLU give sufficient prior knowledge in statistics and inventory and is
Department of Forest Resource Management