FOR-260 Advanced 3D remote sensing of forests (5 credits)
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- Code: FOR-260
- Timing: period I, odd years.
- Preceding studies: ME-232 Kaukokartoitus 1 or equal basic course in remote sensing, basic course in R-software, e.g. FOR-006, basic knowledge of some GIS-software, such as ArcGIS, ArcGIS Pro or QGIS.
Objective
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.
Content
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).
Study material and literature
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- Holopainen, M., Hyyppä, J. & Vastaranta, M. 2013. Laserkeilaus metsävarojen hallinnassa. Helsingin yliopiston metsätieteiden laitoksen julkaisuja 5.
- Shan, J. & Toth, C. (Eds.). 2009. Topographic Laser Ranging and Scanning: Principles and Processing. pp. 335-370.
- Maltamo, M., Næsset, E. & Vauhkonen, J. 2014. Forestry applications of airborne laser scanning: Concepts and case studies. Dordrecht ; New York: Springer.
- Other material given during the course.
Completion
Lectures, exercises and exam. K28 – H72 – R0 – I35.
Evaluation
Grading on scale 0-5. The final grade is based on exam and points from exercises.
Other information
Teaching in English.
Responsible person
Prof. Markus Holopainen
Link to registration
https://sisu.helsinki.fi/student/courseunit/otm-033e7f05-df25-478c-b7a2-77797dc79c4a/brochure