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Filtering by: Committee Member Glenn, Michael D. Committee Member Bailey, John D.

Classification strategies for unbalanced binary maps : finding Ponderosa pine in the Willamette Valley

Creator:

Riddell, Audrey P.

Abstract:

Forest species classifications are becoming increasingly automated as advances are made in machine learning. The algorithms used to identify tree species range from simple decision trees to intricate neural networks, and often excel in accurately delineating tree species. However, complex algorithms can have high input costs, including the cost of...

Resource Type:

Masters Thesis

Full Text:

project, and provided many creative solutions to tangles along the way. Thank you to Dr. Glenn Howe for
Potential effects of climate change and fire management on fire behavior and vegetation patterns on an east Cascades landscape

Creator:

Greaves, Heather E.

Abstract:

Climate exerts considerable control on wildfire regimes, and climate and wildfire are both major drivers of forest growth and succession in interior Northwest forests. Estimating potential response of these landscapes to anticipated changes in climate helps researchers and land managers understand and mitigate impacts of climate change on important ecological...

Resource Type:

Masters Thesis

Full Text:

extracurricular discussions that influenced my thinking about this work. Michael Campana graciously assented to
Modeling air-drying of Douglas-fir and hybrid poplar biomass in Oregon

Creator:

Kim, Dong-Wook

Abstract:

Both transportation costs and market values of woody biomass are strongly linked to the amount of moisture in the woody biomass. Therefore, managing moisture in the woody biomass well can lead to significant advantages in the woody biomass energy business. In this study, two prediction models were developed to estimate...

Resource Type:

Masters Thesis

Full Text:

never have been completed. I would like to thank my committee members, Dr. Michael Wing, Dr. John