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Social and Behavioral Sciences Commons

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Full-Text Articles in Social and Behavioral Sciences

Production, Best Management Practices, And Market Impacts Of Forest Biomass Harvest And Collection In The Mid-Atlantic Region, William E. Smith Jan 2023

Production, Best Management Practices, And Market Impacts Of Forest Biomass Harvest And Collection In The Mid-Atlantic Region, William E. Smith

Graduate Theses, Dissertations, and Problem Reports

Time motion studies were conducted at five mid-Atlantic sites that spanned various operations in West Virginia, Ohio, and Pennsylvania. The harvest systems included integrated harvests where chips were produced in the forest, roundwood systems where only roundwood was produced, and a centralized chipping system. The study collected overall productivity and machine utilization data at the various harvesting operations. The cost per green ton of woody biomass ranged from $18.46 to $39.8 resulting in an average of $30.33 among the five systems. Hauling had the highest average price per green ton at $9.10, while loading had the lowest at $1.73 per …


Lidar And Machine Learning Estimation Of Hardwood Forest Biomass In Mountainous And Bottomland Environments, Bowei Xue Jul 2015

Lidar And Machine Learning Estimation Of Hardwood Forest Biomass In Mountainous And Bottomland Environments, Bowei Xue

Graduate Theses and Dissertations

Light detection and ranging (lidar) has been applied in various forest applications, such as to retrieve forest structural information, to build statistical models for identification of tree species, and to monitor forest growth. However, despite significant progress in these areas, the choice of regression approach and parameter tuning remains an ongoing critical question. This study focused on choosing the right spatial generalization level to transform lidar point clouds to 2D images which can be further processed by mature image processing and pattern recognition approaches. It also compared the prediction ability of popular machine learning algorithms applied to aboveground forest biomass …


Application Of An Imputation Method For Geospatial Inventory Of Forest Structural Attributes Across Multiple Spatial Scales In The Lake States, U.S.A., Ram K. Deo Jan 2014

Application Of An Imputation Method For Geospatial Inventory Of Forest Structural Attributes Across Multiple Spatial Scales In The Lake States, U.S.A., Ram K. Deo

Dissertations, Master's Theses and Master's Reports - Open

Credible spatial information characterizing the structure and site quality of forests is critical to sustainable forest management and planning, especially given the increasing demands and threats to forest products and services. Forest managers and planners are required to evaluate forest conditions over a broad range of scales, contingent on operational or reporting requirements. Traditionally, forest inventory estimates are generated via a design-based approach that involves generalizing sample plot measurements to characterize an unknown population across a larger area of interest. However, field plot measurements are costly and as a consequence spatial coverage is limited. Remote sensing technologies have shown remarkable …