Full course description
Landscape Level Forest Modeling Data (this is not a self-paced course)
October 28 – November 8, 2024
The second course in this micro-certificate focuses on the data requirements for landscape-level forest modeling data and encourages students to explore the data and critique potential limitations and assumptions. Student will:
- Understand the plethora of measures available for evaluating present values of a forest stand and discuss how spatial data connects to landscape-level forest modeling data
- Evaluate different landscape classification systems, including those commonly used in forest management plans.
- Understand how forests are projected forward through time and the data, limitations and assumptions employed and connected into forest models, including transitions, volumes, and growth and yields.