FOR-260 Advanced 3D remote sensing of forests (5 op)

    • Period I, course is organized on odd years.
    • Esitiedot: ME-232 Kaukokartoitus 1 or equal basic course in remote sensing, asic course in R-software, e.g. FOR-006, basic knowledge of some GIS-software, such as ArcGIS, ArcGIS Pro or QGIS.


The aim of the course is to get acquainted with in-depth laser scanning and other 3D remote sensing materials, data processing and interpretation methods, and the use of 3D remote sensing in various applications of forest resource management.


Lectures: 3D remote sensing methods: laser scanning, SAR radargrammetry and SAR interferometry, aerial photography, optical wavelength satellite images. Remote sensing data pre-processing and interpretation. 3D remote sensing in forest resource inventory, mapping and monitoring.

An important part of the course is the compulsory exercises: Processing and utilization of 3D remote sensing data, especially laser scanning data, in forest resource management applications.

Software skills: TerraScan, ArcGIS, Lastools & R software for handling 3D point clouds (including laser scanning data).


    1. Holopainen, M., Hyyppä, J. & Vastaranta, M. 2013. Laserkeilaus metsävarojen hallinnassa. Helsingin yliopiston metsätieteiden laitoksen julkaisuja 5.
    2. Shan, J. & Toth, C. (Eds.). 2009. Topographic Laser Ranging and Scanning: Principles and Processing. pp. 335-370.
    3. Maltamo, M., Næsset, E. & Vauhkonen, J. 2014. Forestry applications of airborne laser scanning: Concepts and case studies. Dordrecht ; New York: Springer.
    4. Luennoilla ilmoitettava materiaali.


Lectures, exercises and exam.
K28 – H72 – R0 – I35

Arviointimenetelmät ja -kriteerit

Grading on scale 0-5. The final grade is based on Exam and points from exercises.


Professori Markus Holopainen ja tutkijatohtori Ville Luoma


Teaching in English.

Linkki ilmoittautumiseen