Warnell is a leader in silviculture and forest biometrics, artificial intelligence, and remote sensing technologies. Our faculty and graduate students use new and emerging technology to develop ways of measuring and assessing our forests. This work leads to innovations in management practices, pest management, and disaster mitigation.
Areas of expertise and research include:
- Drone technology
- Machine learning
- Forest products and bioenergy
- Planning and harvest scheduling
- Sustainability analysis
- Urban forestry
Graduate Degrees in Forestry
Warnell’s Forestry program combines the principles of ecology, silviculture, mensuration, economics, finance, statistics, and operations research in the decision-making process aimed at achieving the goals and objectives of the forest landowner. In particular, students may focus on GIS/remote sensing, forest inventory and assessment, harvest scheduling methodologies, and artificial intelligence technologies involving LiDAR, satellite imagery, and drone technology.
Through these advanced technologies and methods, our research improves understanding of the growth and development of forest populations and communities. Our graduates are in high demand across a range of forest-related industries.
Forestry can be pursued under the MFR, MS, and PhD degree programs. To pursue Forestry as an official Area of Emphasis (MFR only), the following courses are required:
|FORS 6610/L||Forest Mensuration||4|
|FORS 6620||Timber Management||4|
|Electives:||Forestry graduate coursework||22|
*Total of 34 hours required for the area of emphasis.
For general questions about pursuing a graduate degree at Warnell, contact a member of the graduate team:
Kate deDufour, Graduate Program Administrator
Shira Hersonsky, Graduate Administrative Assistant
Prospective students should also contact faculty members for questions specific to this disciplinary area. Please check faculty members’ personal pages for information about their individual research interests and projects to ensure that you are contacting the most relevant ones.