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Articles 1 - 6 of 6
Full-Text Articles in Spatial Science
Enhancing Coastal Vulnerability Assessments And Policy Impacts On Socioeconomic And Environmental Equity In Michigan's Great Lakes Communities, Esther N. Acheampong
Enhancing Coastal Vulnerability Assessments And Policy Impacts On Socioeconomic And Environmental Equity In Michigan's Great Lakes Communities, Esther N. Acheampong
Dissertations, Master's Theses and Master's Reports
Accelerating shoreline erosion, fluctuating lake levels, and climate-induced hazards are transforming the Great Lakes’ freshwater coasts, exposing the limitations of static and inequitable management frameworks. This dissertation investigates how Michigan’s coastal governance systems produce and manage vulnerability along the Lake Michigan shoreline by integrating geospatial modeling, institutional policy analysis, and environmental justice theory. It argues that both physical processes and institutional designs co-determine patterns of exposure, protection, and equity. The research begins by developing a refined Coastal Vulnerability Index (CVI) tailored for lacustrine environments, applying it to Muskegon County to assess how shoreline change, armoring, and seasonality influence localized risk. …
Mapping Historical Neighborhoods With Geospatial Viewshed Buffers, James B. Townsend
Mapping Historical Neighborhoods With Geospatial Viewshed Buffers, James B. Townsend
Dissertations, Master's Theses and Master's Reports
The concept of neighborhood has been long studied with little agreement beyond the notion that neighborhoods are somewhat self-contained areas within a wider urban environment. Despite the lack of a finite definition, there is wide agreement of the importance of studying population dynamics at the neighborhood scale. Many attempts have been made to spatially define, measure, and quantify contemporary neighborhoods, but less attention has been given to methods to spatially define historical neighborhoods. In this paper, we utilize a historical spatial data infrastructure for the city of London, Ontario to develop a viewshed methodology that recognizes that ‘neighborhood’ is unique …
Aboveground Biomass Density Estimation Using Deep Learning: Insight From Neon Ground-Truth Data And Simulated Gedi Waveform, Ashish Mahaur
Aboveground Biomass Density Estimation Using Deep Learning: Insight From Neon Ground-Truth Data And Simulated Gedi Waveform, Ashish Mahaur
Dissertations, Master's Theses and Master's Reports
Accurately estimating Aboveground Biomass Density (AGBD) is crucial for managing Earth's carbon cycle and informing climate strategies. NASA's GEDI mission advances global forest mapping, but traditional linear models often yield less reliable AGBD estimates. This study enhances AGBD estimation using deep learning models with NEON ground-truth data and simulated GEDI waveforms. We compared 1D CNNs, LSTMs, and pre-trained CNNs to traditional models. The ResNet152 model outperformed linear regression, achieving an R² of 0.68, demonstrating a 17% improvement. Our experiments also demonstrate the importance of large, diverse datasets, particularly for training deep learning models.
The Influence Of Landforms And Sampling Approaches On Riparian Buffer Area And Complexity, Houjun Ding
The Influence Of Landforms And Sampling Approaches On Riparian Buffer Area And Complexity, Houjun Ding
Dissertations, Master's Theses and Master's Reports
A riparian area is a zone of interaction between aquatic and terrestrial ecosystems. Delineating accurate riparian management zones (RMZs), often utilized in Best Management Practices (BMPs) for wetlands and stream protection, is important. The Riparian Buffer Delineation Model (RBDM) has been used extensively for accurate RMZs delineation. Utilizing the validated RBDM generates additional questions about riparian area form and function, which will ideally lead to an improved understanding of the ecological process within these zones. This study aims to determine how geomorphic landforms and their associated landscape characteristics influence riparian areas in terms of shape and complexity, whether sampling methods …
Perceptions Of Forest Change In The Governmental Region Of Kaffrine, Senegal, Rhiley E. Allbee
Perceptions Of Forest Change In The Governmental Region Of Kaffrine, Senegal, Rhiley E. Allbee
Dissertations, Master's Theses and Master's Reports
Sénégal is a semi-arid West African country with a diverse ethnic makeup and a rapidly growing population that is largely rural, predominantly employed within the agricultural sector, and heavily reliant on the harvesting of forest products within state owned forests where populations have usufruct rights. The country experienced significant changes in land cover throughout the 20th century due to a series of major droughts and large expansions in agriculture. These changes were partially concentrated throughout the region of Kaffrine, where the wooded savannas of the early 20th century were systematically replaced by agriculture and converted to a shrub …
Characterization Of Ecological Water Stress In The U.S. Great Lakes Region Using A Geospatial Modeling Approach, Sara Alian
Dissertations, Master's Theses and Master's Reports
Anthropocentric water resources management affects aquatic habitats by changing streamflow regime. Understanding the impacts of water withdrawal from different sources and consumption by various economic sectors at different spatial and temporal scales is key to characterizing ecologically harmful streamflow disturbances. To this end, we developed a generic, integrative framework to characterize catchment scale water stress at annual and monthly time scales. The framework accounts for spatially cumulative consumptive and non-consumptive use impacts and associated changes in flow due to depletion and return flow along the stream network. Application of the framework to the U.S. Great Lakes Region indicates that a …