Course code SKOG305

SKOG305 Sampling-based Forest Inventory

Norsk emneinformasjon

Search for other courses here

Showing course contents for the educational year 2022 - 2023 .

Course responsible: Erik Næsset
Teachers: Lennart Noordermeer
ECTS credits: 5
Faculty: Faculty of Environmental Sciences and Natural Resource Management
Teaching language: NO
(NO=norsk, EN=Engelsk)
Limits of class size:
Minimum 8 students.
Teaching exam periods:
This course starts in Autumn parallel. This course has teaching/evaluation in Autumn parallel.
Course frequency: Even numbered years (2022, 2024, ...)
First time: Study year 2020-2021
Course contents:

Biometry and the registration of forest resources.

1. The basic sampling methods used in forest inventory at various geographical levels (trees, stands, properties, regions).

2. The basic statistical features of these methods.

3. Registration of other phenomena than wood resources, e.g. dead wood.

4. Use of remotely sensed data to support sample surveys - with emphasis on airborne laser.

5. Specific issues related to estimation of forest resources for small areas with limited support in local field data.

Learning outcome:


The student should have knowledge about the most essential sampling methods used in forest inventory and know the statistical basis of the methods.


The student should be able to apply the statistical estimators in question for the sampling methods in order to estimate relevant population parameters (e.g. timber volume) and the uncertainty of these estimates.

General competence

The student should be able to ask critical questions about designs of sample surveys of living trees and other phenomena in the forest, as well as evaluate whether statistically based sample surveys may be relevant for a certain registration problem. The student should also have a balanced attitude towards errors in forest surveys.

Learning activities:
Lectures, exercises, excursion. Problem-based teaching.
Teaching support:
Canvas. Individual supervision through time reserved for exercises in the course plan.
Will be distributed in lecture. Also in Canvas.
Recommended prerequisites:
Mandatory activity:
Exercises. Exercises must be passed/valid in order for the student to pass the course.
Written exam (3 hours).
Nominal workload:
40 hours teaching. 85 hours of self-study, seminars and preparation.
Entrance requirements:
Special requirements in science
Type of course:
40 hours (lectures and exercises)
The external examiner approves and grades the final examination and discusses the teaching arrangements with the person responsible for the course.
Allowed examination aids: C3 All types of calculators, all other aids – including digital aids
Examination details: Written exam: Letter grades