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Filtering by: Creator Strimbu, Bogdan M. Remove constraint Creator: Strimbu, Bogdan M. Advisor Strimbu, Bogdan M. Remove constraint Advisor: Strimbu, Bogdan M. Degree Name Master of Science (M.S.) Remove constraint Degree Name: Master of Science (M.S.)

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  • Individual Tree Detection and Measurement from Terrestrial Point Cloud

    Creator:
    Qi, Chu
    Abstract:
    Remote sensing forest inventory gained increased attention in the last decade triggered by the decrease in the price of sensors and the explosion of data availability and formats. Evermore, the constant advances in the hardware processing the data emphasized the necessity to develop algorithms to extract forest relevant information from...
    Resource Type:
    Masters Thesis
    Full Text:
    : ______________________________________________________ Bogdan M. Strimbu Remote sensing forest inventory gained increased attention in the last

  • Estimation of surface canopy water in Pacific Northwest forests by fusing radar, lidar, and climatic data

    Creator:
    Heffernan, Scott A.
    Abstract:
    Surface Canopy Water (SCW) is the intercepted rain water that resides within the tree canopy and plays a significant role in the hydrological cycle. Challenges arise in measuring SCW in remote areas using traditional ground based techniques. Remote sensing in the radio spectrum has the potential to overcome the challenges...
    Resource Type:
    Masters Thesis
    Full Text:
    : ______________________________________________________ Bogdan M Strimbu Surface Canopy Water (SCW) is the intercepted rain water that resides

  • Estimation of Soil Particle Size Distribution using CT Scans

    Creator:
    Boath, Max E.
    Abstract:
    Remote sensing techniques have been applied extensively in geospatial investigations, but their use in measuring soil physical attributes has been far less explored. Soil particle size distributions (PSD) are indispensable in modeling pedological and hydrological processes as well as biodiversity. However, estimation of PSD via gravimetric measurement methods, the standard...
    Resource Type:
    Masters Thesis
    Full Text:
    : ______________________________________________________ Bogdan M. Strimbu ABSTRACT Remote sensing techniques have been applied extensively in

  • 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:
    : ______________________________________________________ Stephen A. Fitzgerald Bogdan M. Strimbu Forest species classifications are becoming