Index Catalog // ScholarsArchive@OSU

Estimating Forest Inventory Attributes Using Airborne LiDAR in Southwestern Oregon

Creator:: Shin, Joonghoon
Abstract:: This thesis mainly consists of two parts: (1) comparing statistical modeling methods based on the area-based approach (ABA) for predicting forest inventory attributes using airborne light detection and ranging (LiDAR) data (Chapter 2), and (2) suggesting a new methodology fusing the individual tree detection (ITD) approach and the ABA for...
Resource Type:: Masters Thesis
Full Text:: ). Chapter 2 compared selected modeling methods used to predict five forest attributes, basal area (BA

Strategies for sampling and estimation of aboveground tree biomass

Creator:: Poudel, Krishna Prasad
Abstract:: The issue of global climate change and an increasing interest in the reduction of fossil fuel carbon dioxide emissions by using forest biomass for energy production has increased the importance of quantifying forest biomass in recent years. The official U.S. forest carbon reporting is based on the forest biomass estimates...
Resource Type:: Dissertation
Full Text:: and biomass components estimation using LiDAR data in a coniferous forest. Forests. 4(4): 984-1002

Examination of imputation methods to estimate status and change of forest attributes from paneled inventory data

Creator:: Eskelson, Bianca N. I.
Abstract:: The Forest Inventory and Analysis (FIA) program conducts an annual inventory throughout the United States. In the western United States, 10% of all plots (one panel) are measured annually, and a moving average is used for estimating current condition and change of forest attributes while alternative methods are sought in...
Resource Type:: Dissertation
Full Text:: variables are randomly and iteratively sampled to generate a large group, or forest, of classification and

Forest Soils and Topography : Decoding the Influence of Physical Site Characteristics on Soil Water and Forest Productivity in Oregon's Coast Ranges

Creator:: Rodman, Henry
Abstract:: Forest soils and topography have long been known to influence forest productivity in complex terrain such as Oregon’s Coast Ranges. Incorporating physical site characteristics into predictions of forest growth and yield, however, has been problematic because of the high spatial variability of soil properties and the challenges associated with representing...
Resource Type:: Masters Thesis
Full Text:: shared his expertise in forest sampling and modeling and introduced me to many influential individuals

Comparison and analysis of small area estimation methods for improving estimates of selected forest attributes

Creator:: Goerndt, Michael E.
Abstract:: One of the most common practices regarding estimation of forest attributes is the partitioning of large forested subpopulations into smaller areas of interest to coincide with specific objectives of present and future forest management. New estimators are needed to improve estimation of selected forest attributes in small areas where the...
Resource Type:: Dissertation
Full Text:: changes in forest cover, specifically with regard to species or species-group classification in forests

Taper, crown, and volume responses of a coastal Oregon Douglas-fir stand to sulfur treatments for control of Swiss needle cast

Creator:: Younger, Nicole L.
Abstract:: For nearly two decades, foresters in the Oregon Coast Range have been witnessing a substantial decease in Douglas-fir (Pseudotsuga menziesii var. menziesii [Mirb.] Franco.) vigor and growth, caused by Swiss needle cast (Phaeocryptopus gaeumannii). Currently, no solutions are in sight but aerially-applied sulfur may alleviate Swiss needle cast and its...
Resource Type:: Masters Thesis
Full Text:: OF Nicole L. Younger for the degree of Master of Science in Forest Resources presented on June

Aerial Laser Scanning for Forest Inventories: Estimation and Uncertainty at Multiple Scales

Creator:: Frank, Bryce M.
Abstract:: As remote sensing data continues to proliferate, development and assessment of methods that generate predictions of forest attributes is needed to inform operational use. For several decades, lidar data collected from aerial platforms has informed assessments of forest resources, but many opportunities remain for the technology. We examine and develop...
Resource Type:: Dissertation
Full Text:: the degree of Doctor of Philosophy in Sustainable Forest Management presented on March 17, 2020

Multi-temporal LiDAR Analysis of Landscape Fire Effects in Southwestern Oregon

Creator:: Hoe, Michael
Abstract:: Quantitative assessments of post-fire effects are key to improving our understanding of ecosystem resilience. While remote sensing technology has allowed us to assess post-fire landscape effects, we are often limited by the lack of information related to pre-fire forest attributes. As a result, our ability to interpret fire effects in...
Resource Type:: Masters Thesis
Full Text:: . Falkowski, A. M. Smith, P. E. Gessler, and P. Morgan (2006). Regression modeling and mapping of coniferous

Quantifying Aboveground Biomass for Common Shrubs in Northeastern California

Creator:: Huff, Steven
Abstract:: Quantifying biomass is important for sustainable forest management. The purpose of this study is to obtain allometric relationships for seven species of shrubs common in northeastern California so that estimates of carbon and fuel loading may be better realized. Although some shrub biomass equations exist, such equations are limited in...
Resource Type:: Masters Thesis
Full Text:: ABSTRACT OF THE THESIS OF Steven Huff for the degree of Master of Science in Sustainable Forest

Error propagation in estimating aboveground biomass using terrestrial LiDAR

Creator:: Shettles, Michael A.
Abstract:: Broad-scale estimates of above ground forest biomass (AGB) are typically produced by applying individual-tree equations to inventory data consisting of measurements from probabilistically or purposively selected trees. The associated uncertainty for these estimates depends primarily on three sources of error that interact and propagate: (1) measurement error, the quality of...
Resource Type:: Masters Thesis
Full Text:: preparatory materials for the FOR 525-Forest Modeling class months in advance. Finally, profound thanks to

ScholarsArchive@OSU

Estimating Forest Inventory Attributes Using Airborne LiDAR in Southwestern Oregon

Strategies for sampling and estimation of aboveground tree biomass

Examination of imputation methods to estimate status and change of forest attributes from paneled inventory data

Forest Soils and Topography : Decoding the Influence of Physical Site Characteristics on Soil Water and Forest Productivity in Oregon's Coast Ranges

Comparison and analysis of small area estimation methods for improving estimates of selected forest attributes

Taper, crown, and volume responses of a coastal Oregon Douglas-fir stand to sulfur treatments for control of Swiss needle cast

Aerial Laser Scanning for Forest Inventories: Estimation and Uncertainty at Multiple Scales

Multi-temporal LiDAR Analysis of Landscape Fire Effects in Southwestern Oregon

Quantifying Aboveground Biomass for Common Shrubs in Northeastern California

Error propagation in estimating aboveground biomass using terrestrial LiDAR

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