Forest Resources InventoryLaajuus (4 cr)
Code: MM10030
Credits
4 op
Teaching language
- Finnish
Responsible person
- Ari Talkkari
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
Enrollment
01.10.2024 - 31.10.2024
Timing
13.01.2025 - 25.04.2025
Number of ECTS credits allocated
4 op
Mode of delivery
Contact teaching
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
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
Evaluation scale
H-5
Enrollment
01.10.2023 - 31.10.2023
Timing
15.01.2024 - 26.04.2024
Number of ECTS credits allocated
4 op
Mode of delivery
Contact teaching
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
-
MMNS22Forestry Engineer, Full-time Studies, Fall, 2022
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
Evaluation scale
H-5