Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"wildfire hazards"”.
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Heterogeneity of Stand Structure, Fuels, and Wildfire Hazard in Dry and Moist Old-Growth Ponderosa Pine Forests: Case Studies from Western Montana
… ecological function and remediate catastrophic wildfire hazards in old-growth ponderosa pine stands throughout the western United States. However, stand heterogeneity has been inadequately addressed in restoration and fuel treatment planning. In response, we analyzed two old-growth ponderosa …
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Heterogeneity of Stand Structure, Fuels, and Wildfire Hazard in Dry and Moist Old-Growth Ponderosa Pine Forests: Case Studies from Western Montana
… ecological function and remediate catastrophic wildfire hazards in old-growth ponderosa pine stands throughout the western United States. However, stand heterogeneity has been inadequately addressed in restoration and fuel treatment planning. In response, we analyzed two old-growth ponderosa …
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Homeowners' Responses to Wildfire Risks and Hazards in Sothwestern Montana
… of individuals living in these areas to wildfire maybe partially determined by their cognitive and emotional attachments to the landscape. Many of the study participants appeared to have a sufficient understanding of wildfire hazards, possible mitigation actions, and adequate resources to …
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Homeowners' Responses to Wildfire Risks and Hazards in Sothwestern Montana
… of individuals living in these areas to wildfire maybe partially determined by their cognitive and emotional attachments to the landscape. Many of the study participants appeared to have a sufficient understanding of wildfire hazards, possible mitigation actions, and adequate resources to …
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Deep Learning-Based Part Labeling of Tree Components in Point Cloud Data
… role in forest management, remote sensing, and wildfire monitoring and mitigation, necessitating robust computer algorithms and pipelines for segmentation and labeling of tree components. This thesis presents a novel pipeline that employs deep learning models, such as the Point-Voxel Transformer …