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Filtering by: Creator Jeroue, Lacey M. Remove constraint Creator: Jeroue, Lacey M. Advisor Hailemariam, Temesgen Remove constraint Advisor: Hailemariam, Temesgen

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  • Predicting urban tree attributes for major species in urbanized areas of the western Pacific states

    Creator:
    Jeroue, Lacey M.
    Abstract:
    Urban forests are an essential green infrastructure of our cities. Due to the proximity of urban trees to more than 250 million people and the grey infrastructure within United States cities, urban forests are uniquely positioned to provide a host of social, environmental and economic benefits. Careful management that maximizes...
    Resource Type:
    Masters Thesis
    Full Text:
    Urbanized Areas of the Western Pacific States AN ABSTRACT OF THE THESIS OF Lacey M. Jeroue

  • 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:
    Forest Measurement and Biometrics lab mates including Jacob Strunk, Mike Shettles, Lacey Jeroue

  • 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:
    , especially during my hectic first term while we were a trio of TA’s. Thanks to Lacey Jeroue for being an

  • 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:
    Kralicek, Bryce Frank, Al Pancoast, Ty Nietupski, Mike Shettles, Lacey Jeroue, Elijah Allensworth, Steve