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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
  • MMNS23
    Forestry 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
  • MMNS22
    Forestry 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