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  • Seamless Topobathymetric River Mapping Through Multi-Sensor Data Integration: Lidar, Sonar, RTK GNSS and Structure from Motion

    Creator:
    Kellum, Kory and Kellum, Kory E.
    Abstract:
    Seamless, high-resolution topobathymetric digital elevation models (DEMs) of rivers are important for generating hydrodynamic models, studying water quality and related ecological issues, modeling flood vulnerability, and numerous other applications. However, such DEMs can be difficult to generate, due to a lack of topographic and bathymetric source data. Even where the...
    Resource Type:
    Capstone Project
    Full Text:
    project of Kory E. Kellum presented on May 15, 2017. APPROVED: Dr. Christopher Parrish

  • Enhancing Detection of Marine Debris with Polarimetric Imagery

    Creator:
    Herrera, Frederick Kyle
    Abstract:
    Marine debris is a chronic and increasingly pervasive problem for coastal regions around the world. Debris poses environmental risks, threats to wildlife, and degradation of the natural environment. Recent research has shown the advantages of uncrewed aircraft systems (UAS) for detection and recognition of marine debris, including the ability to...
    Resource Type:
    Masters Thesis
    Full Text:
    : ___________________________________________________ Christopher E. Parrish Marine debris is a chronic and increasingly pervasive problem

  • New Simulation and Fusion Techniques for Assessing and Enhancing UAS Topographic and Bathymetric Point cloud Accuracy

    Creator:
    Slocum, Richard K.
    Abstract:
    Imagery acquired from unmanned aircraft systems (UAS) and processed with structure from motion (SfM) – multi-view stereo (MVS) algorithms provides transformative new capabilities for surveying and mapping. Together, these new tools are leading to a democratization of airborne surveying and mapping by enabling similar capabilities (including similar or better accuracies,...
    Resource Type:
    Dissertation
    Full Text:
    : _____________________________________________________ Christopher E. Parrish Imagery acquired from unmanned aircraft systems (UAS) and

  • Mapping Nearshore Bathymetry with Spaceborne Data Fusion and State Space Modeling

    Creator:
    Forfinski-Sarkozi, Nicholas A.
    Abstract:
    Despite numerous techniques for measuring and estimating water depth, bathymetry in the nearshore zone is notoriously difficult to map. Dangerous sea states, noisy environmental conditions, and expensive survey operations, particularly in remote areas, contribute to the difficulties of obtaining data along the coast. Global datasets, derived mainly from satellite altimetry...
    Resource Type:
    Dissertation
    Full Text:
    : ______________________________________________________ Christopher E. Parrish Despite numerous techniques for measuring and estimating water

  • Of Planes and Plumblines: Map Projections and Differential Leveling in a GNSS-based 3D Geodetic Framework

    Creator:
    Dennis, Michael L.
    Abstract:
    Modern geospatial data are frequently represented in some type of three-dimensional (3D) coordinate system, for example geodetic latitude, longitude, and ellipsoid height (φ, λ, h) derived from Global Navigation Satellite Systems (GNSS). But for engineering and surveying work, φ, λ, h coordinates are usually converted to a topocentric system consisting...
    Resource Type:
    Dissertation
    Full Text:
    Christopher E. Parrish Modern geospatial data are frequently represented in some type of three

  • A Multivariate Comparison of Drone-Based Structure from Motion and Drone-Based Lidar for Dense Topographic Mapping Applications

    Creator:
    Simpson, Chase H.
    Abstract:
    Unmanned aircraft systems (UAS), also known as drones, are an increasingly popular method of collecting surveying and mapping data. Two common drone-based mapping techniques are lidar and structure from motion (SfM) photogrammetry, and a frequently-heard (yet nearly impossible to answer) question is: “which is better?” The most common metric for...
    Resource Type:
    Masters Thesis
    Full Text:
    : ______________________________________________________ Christopher E. Parrish Unmanned aircraft systems (UAS), also known as drones, are an

  • Radiometric Calibration of EAARL‐B Bathymetric Lidar Data

    Creator:
    Wilson, Nicholas C.
    Abstract:
    The Experimental Advanced Airborne Research Lidar ‐ B (EAARL‐B), which was built and deployed by the U.S. Geological Survey (USGS) in 2014, is a novel topographic‐bathymetric lidar system. While retaining a number of features that were pioneered in the original National Aeronautics and Space Administration (NASA) EAARL system (e.g., low...
    Resource Type:
    Masters Thesis
    Full Text:
    .    Abstract approved: ______________________________________________________  Christopher E. Parrish  The

  • Remote Sensing Tools for Evaluating Climate Change Impacts in Coastal Environments

    Creator:
    Herrmann, Joan F.
    Abstract:
    Climate change has pervasive impacts on Earth’s diverse ecosystems. Observed and projected effects that impact coastal environments pose unique challenges. Coastal regions provide numerous ecosystem services (e.g., fisheries, nursery habitats, erosion control, and water filtering and detoxification), house 40% of the US population, and contribute to 58% of the national...
    Resource Type:
    Masters Thesis
    Full Text:
    Christopher Parrish Climate change has pervasive impacts on Earth’s diverse ecosystems. Observed and

  • An Efficient Workflow and Accuracy Assessment for ICESat-2 and Multispectral Imagery Fusion for Bathymetric Mapping

    Creator:
    Babbel, Benjamin J.
    Abstract:
    Interest in mapping bathymetry from multispectral satellite imagery has grown steadily since the 1970s. Notwithstanding the significant advancements made during this time, one limitation is that the group of algorithms collectively referred to as Satellite Derived Bathymetry (SDB) generally require “seed depths,” hindering their use for areas lacking reliable reference...
    Resource Type:
    Masters Thesis
    Full Text:
    Christopher E. Parrish Interest in mapping bathymetry from multispectral satellite imagery has grown