Forest Resources Inventory (4 cr)
Code: MM10030-3002
General information
- Enrollment
- 01.10.2024 - 31.10.2024
- Registration for the implementation has ended.
- Timing
- 13.01.2025 - 25.04.2025
- Implementation has ended.
- Number of ECTS credits allocated
- 4 cr
- Local portion
- 4 cr
- Mode of delivery
- Contact learning
- Unit
- Metsätalousinsinöörikoulutus (MM)
- Campus
- Wärtsilä Campus Karjalankatu 3
- Teaching languages
- Finnish
- Seats
- 20 - 60
- Degree programmes
- Degree Programme in Forestry
- Teachers
- Ari Talkkari
- Teacher in charge
- Ari Talkkari
- Groups
-
MMNS23Forestry Engineer, Full-time Studies, Fall, 2023
- Course
- MM10030
Evaluation scale
H-5
Objective
You know the sampling methods applied in forest inventory, master the methods and devices used in sample plot measurements and understand the principles in calculating the forest inventory results. You know standwise inventory and understand its usage in inventory. You know the properties of relevant remote sensing data and understand their possibilities in monitoring natural resources. You know how lidar data can be utilised in forest inventory and can analyse lidar data. You know the relevant data products of forest inventory, their quality and utilising possibilities.
Content
Core contents:
- Sampling methods and sample plots used in forest inventory
- Standwise inventory
- Multi-source inventory
- Remote sensinm data in inventory
- Airborne Laser Scanning in forest inventory
- Data products of forest inventory