Course code RØP320

RØP320 Forest Biometrics

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Showing course contents for the educational year starting in 2014 .

Course responsible: Erik Næsset
Teachers: Ole Martin Bollandsås, Terje Gobakken
ECTS credits: 5
Faculty: Department of Ecology 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: Every second year (2014, 2016, ...)
First time: 2010H
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 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 surevys - with emphasise 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

After completing the course, 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.

Will be distributed in lecture. Also in Fronter.
SKOG205, SKOG300
Recommended prerequisites:
Mandatory activity:
Written final exam (3 hours). Exercises must be passed/valid in order for the student to pass the course.
Nominal workload:
30 hours teaching. 120 selfstudy, seminars, preperation.
Type of course:
16 hours lectures, 10 hours field and lab exercises, 4 hours seminar
Allowed examination aids: All types of calculators, all other aids.
Examination details: One written test: A - E / Ikke bestått