Digital Commons Network^™

Building An Open Source Toolkit For Integrating Multiple Datasets For Seafloor Characterization And Habitat Mapping, Massimo Di Stefano

Doctoral Dissertations

Characterizing and mapping the seafloor and its features requires collecting and analyzing datasets of varied types and scales. Remotely-sensed data can increase our understanding of seafloor processes by providing insight into seabed geomorphology, substrate characteristics, etc., over large areas. Collecting direct observations or physical samples of the seafloor, also known as ground-truth data, holds the key to interpreting and validating remote sensing data. In this thesis, the case is made that by concurrently analyzing some or all of these datasets, knowledge about seafloor processes is gained more efficiently and I develop tools for seafloor habitat mapping.

In Paper I, I …

Purpose In Place: Discerning And Forefronting Forgotten Landscapes Using The Methodological Lens Of Augmented Reality, Lindy Westenhoff

Doctoral Dissertations

Augmented reality (AR) is an under-studied tool that deserves more academic attention and gaze. By using the built landscape as its point of orientation, but providing a virtual interface with which to engage, the augmented landscape serves as a departure of the traditional digital-physical divide. This realm raises questions regarding purpose and intention, but also has its own limitations and issues with dynamic, complex spaces that change frequently. Each chapter of this dissertation stands alone as a “part” – they connect, however, through the use of this technology to answer questions unique to their spaces.

Part 1 explores the relationship …

Characterizing Forest Stands Using Unmanned Aerial Systems (Uas) Digital Photogrammetry: Advancements And Challenges In Monitoring Local Scale Forest Composition, Structure, And Health, Benjamin T. Fraser

Doctoral Dissertations

Present-day forests provide a wide variety of ecosystem services to the communities that rely on them. At the same time, these environments face routine and substantial disturbances that direct the need for site-specific, timely, and accurate monitoring/management (i.e., precision forestry). Unmanned Aerial Systems (UAS or UAV) and their associated technologies offer a promising tool for conducting such precision forestry. Now, even with only natural color, uncalibrated, UAS imagery, software workflows involving Structure from Motion (SfM) (i.e., digital photogrammetry) modelling and segmentation can be used to characterize the features of individual trees or forest communities. In this research, we tested the …

Developing A Flexible Disaster Relief Supply Chain Model, Eric Hoffman

Doctoral Dissertations

Archival abstract submitted

Using Spatial Analysis To Evaluate Fire Activity In A Pine Rockland Ecosystem, Big Pine Key, Florida, Usa, Lauren Ashley Stachowiak

Doctoral Dissertations

Pine rocklands are fire-prone ecosystems with limited spatial extent, and have experienced reduced area in the previous decades through habitat conversion and urbanization. The purpose of this dissertation research was to evaluate the historical range of variability of fire activity and spatial patterns of fires in a pine rockland ecosystem in the National Key Deer Refuge (NKDR) on Big Pine Key in the Lower Florida Keys. To investigate the temporal and spatial patterns in fire activity, I (1) evaluated the temporal patterns for fires in my study area in the NKDR, (2) analyzed differences in standard fire history metrics since …

Investigating Historic Human-Land Use Dynamics In Southern New England Using Lidar And Geospatial Analysis, Katharine M. Johnson

Doctoral Dissertations

Archival abstract submitted