Geographic Information Sciences Commons^™

Using Remote Sensing Technology To Develop A Framework For Improving Hydrologic Models, Marissa Cook

Theses, Dissertations and Capstones

With increased storm intensity due to climate change and urbanization, flash flooding has become an increasingly significant issue globally and regionally. Although the factors influencing urban flash flooding are well-known, there is a growing need for technology to accurately and remotely predict the chance of a flash flood occurring from any given rain event to give people time to prepare. This study aims to use multispectral satellite imagery to provide a framework for improving near real-time flood predictions in an urban area of a high gradient, fourth order stream impacted by flooding. Specifically, we utilize satellite imagery to create the …

Assessing Flood Resilience In West Virginia Communities: Integrating Physical, Institutional, Socioeconomic, And Environmental Dimensions, Anahita Mahmoudi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Flooding is one of the most frequent and damaging natural hazards in the United States, with impacts expected to intensify under changing climate conditions. In regions such as West Virginia, complex terrain, development patterns along river corridors, and socioeconomic disparities contribute to elevated flood risk. Traditional approaches to flood risk assessment often focus on single dimensions of vulnerability or rely on binary floodplain maps, which do not fully capture the spatial variability and multidimensional nature of flood resilience.

This dissertation develops an integrated, community-scale framework for assessing flood resilience in West Virginia by combining physical, environmental, institutional, and socioeconomic dimensions …

Gis Is A Tool, Not The Story: The Journey Towards An Ethnographically Informed Gis Analysis Of Frenchman Coulee, Eastern Washington, Joseph T. Gambino

All Master's Theses

Geographic Information Systems (GIS) have seen increased use in ethnographic and archaeological studies over the last several decades. Though revolutionary in their ability to predict and document sites of archaeological or cultural significance, they remain limited in their capacity to communicate the full extent of potential values certain geographies offer to both cultural specialists and their communities. These limitations are amplified when attempting to represent how the landscape is experienced within GIS’s statistical framework. In this manuscript I present different approaches to GIS modeling that attempt to identify some of the advantages Frenchman Coulee could have offered to the Indigenous …

Model Data Of "Aerial Imagery Resolution Optimization And Machine Learning Model Comparison For Land Cover Classification", Jessica Suoja

Research Data Sets

Downloadable zip file contents:

• 1MeterModel.csv (CSV file, 8.5 KB)
• 1MeterPrediction.csv (CSV file, 81.4 MB)
• 2MeterModel.csv (CSV file, 9.6 KB)
• 2MeterPrediction.csv (CSV file, 20.8 MB)
• 5MeterModel.csv (CSV file, 9.1 KB)
• 5MeterPrediction.csv (CSV file, 2.4 MB)
• 50CentimeterModel.csv (CSV file, 9.7 KB)
• 50CentimeterPrediction.csv (CSV file, 333.3 MB)
• 75CentimeterModel.csv (CSV file, 9.6 KB)
• 75CentimeterPrediction.csv (CSV file, 147.0 MB)
• 1125MeterModel.csv (CSV file, 9.0 KB)
• 1125MeterPrediction.csv (CSV file, 65.8 MB)
• 125MeterModel.csv (CSV file, 9.6 KB)
• 125MeterPrediction.csv (CSV file, 53.1 MB)
• 1375MeterModel.csv (CSV file, 9.5 KB)
• 1375MeterPrediction.csv (CSV file, 44.1 MB)
• 150MeterModel.csv (CSV file, 9.0 KB)
• 150MeterPrediction.csv (CSV file, 37.0 MB)
• 175MeterModel.csv (CSV file, 9.6 KB)
• 175MeterPrediction.csv …

Model Data Of "Land Cover Classification Of A Desert Riparian Ecosystem Using A Basic Stacked Ensemble Modeling Approach", Jessica Suoja

Research Data Sets

Downloadable zip file contents:

• CARTscript.R (R script, 2.2 KB)
• ForModel.csv (CSV file, 9.5 KB) 
• ForPrediction.csv (CSV file, 44.1 MB)

Improving Flood Risk Mapping By Incorporating Local-Scale Calibration Data Derived From Stakeholder Input, Jennifer M. Holifield, Wei Wu, Patrick D. Biber, Margo Posten, Dennis Mcgrury, Stephen C. Deal, Alexandria Hancock

Gulf and Caribbean Research

Globally, flooding is the most frequent and costly natural hazards, disproportionately affecting populations based on environmental, social, and economic factors. Understanding the spatial variability of flood risk as well as the respective flood drivers is essential for informing cost-effective mitigation strategies and enhancing community resilience. Here we mapped flood risk that combines flood hazards and vulnerability in an under-resourced coastal community prone to compound flooding. Our approach integrates stakeholder engagement with GIS-based analysis using open-access datasets.

We first developed an initial flood hazard map using an equal-weight combination of factors commonly associated with flood occurrence/prevention, including upslope area, impervious surface …

Identifying Mobility Hub Suitability In The Mid-Sized United States Urban Area Using Weighted Overlay And Percentile Based Local Peak Analysis, Eric Asplund

Theses and Dissertations

IDENTIFYING MOBILITY HUB SUITABILITY IN THE MID-SIZED UNITED STATES URBAN AREA USING WEIGHTED OVERLAY AND PERCENTILE‑BASED LOCAL PEAK ANALYSIS

By Eric Asplund

A thesis submitted in partial fulfillment of the requirements for the degree of Master of Urban and Regional Planning at Virginia Commonwealth University.

Virginia Commonwealth University, 2026.

Major Director: Dr. Ivan Suen, Ph. D., Associate Professor, Faculty of Urban and Regional Studies and Planning

Shared mobility hubs are increasingly posited in transportation planning as interventions supporting multimodality, sustainability, and equitable access, but guidance on evaluation of potential hub locations remains uneven, particularly in mid-sized United States cities where …

A Proposed Conceptual Framework For Assessing Quality Of Life In The United Arab Emirates: Application To Ras Al Khaimah Emirate, Aaesha Saif Al Shehhi

Dissertations

Quality of Life (QoL) has become a central concern in urban planning and sustainable development, particularly in rapidly transforming contexts such as the United Arab Emirates. This dissertation proposes and empirically validates a comprehensive framework for assessing urban QoL, with a focused application to the Emirate of Ras Al Khaimah. A mixed-methods approach integrates objective indicators and residents' subjective perceptions, aligned with national strategies including UAE Vision 2030, the National Strategy for Wellbeing 2031, and UAE Centennial 2071.

The methodology combines Geographic Information Systems (GIS), the Analytic Hierarchy Process (AHP), and statistical analyses to evaluate seven key sectors: environment, infrastructure …

Modeling Inundation Susceptibility, Dengue Fever Risk, And Social, Ecological, And Technological Vulnerability To Climate Change At Small Geographic Scale In Thailand, Zachary Alan Zoet

Graduate Research Theses & Dissertations

The climate is changing, and the livelihoods of more than 3.3 billion people are presumed to be vulnerable to a climate altered significantly from historical norms. Despite international concerns that ramifications of climate change may affect environmental conditions in ways that could exacerbate inundation, dengue fever incidence, and social vulnerability in large areas of the planet, research focused on revealing the roots of these problems tends to cover small areas at large geographic scales. Inconsistencies in research design elements that may ramify from data classification regimen and misappropriation of variable selection, non-consensus about unit of analysis or scale, and disagreement …

Climate Change In Gilgit-Baltistan: Satellite-Based Land Use/Land Cover Change Detection, Socio-Economic Dimensions, And Adaptation Strategies, Ali Muhammad

Graduate Theses/Dissertations

Climate change is increasingly transforming the cryosphere, hydrology, and human landscape of Gilgit-Baltistan, a highly climate-sensitive mountain region in northern Pakistan. This thesis investigates these transformations through satellite-based land use/land cover (LULC) change detection in four representative tehsils of Gilgit-Baltistan—Ali Abad, Gilgit, Nagar, and Sikander Abad—selected to span a gradient of human pressure and cryospheric exposure within the region. Using summer, cloud-free (< 10%) imagery from USGS Landsat 7 (2000) and Landsat 8 (2025), it conducts a multi-temporal comparison of environmental and socio-spatial change. After atmospheric correction and band compositing, the imagery is classified in ArcGIS Pro into six classes—Water, Barren land, Vegetation, Snow, Glacier, and Built-up—using a Support Vector Machine (SVM) classifier, with Maximum Likelihood Classification and Random Forest also tested but found less suitable for the final workflow. The analysis detects a pronounced reduction in mapped glacier-class area alongside a comparatively stable snow class, together with built-up expansion, while examining how temperature, precipitation, tourism, and population dynamics relate to observed LULC transitions. The results reveal a pattern of cryospheric decline and urban growth, with implications for water availability, ecological stability, hazard exposure, and settlement pressure. By integrating geospatial change detection with climatic and socio-economic interpretation, the thesis moves beyond mapping to explain interacting environmental and human drivers of landscape transformation and provides a reproducible remote-sensing baseline for monitoring land-surface change in heterogeneous mountainous terrain. It recommends integrated water-resource management, climate-resilient land-use planning, watershed and glacier monitoring, and sustainable tourism governance, supporting evidence-based decision-making by the Government of Gilgit-Baltistan and organizations working on climate adaptation, disaster risk reduction, and sustainable regional development.

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 …

Geospatial Analysis Of Wildfire Ignitions And Proximity To Electric Transmission Lines In Arizona’S National Forests, Shane Ishmael, Ronny Schroeder

Student Works

The number of wildfires in Arizona rose by 18% from 2023 to 2024. Wildfires hit the Western United States hard, especially in states like Arizona and California, where vast national forests often fall victim to the biggest blazes. According to the Western Fire Chiefs Association, 19% of wildfires from 2016 to 2020 were sparked by electrical transmission lines.

This study explores whether wildfire start-location hotspots line up with power transmission routes running through Arizona’s Coconino and Tonto National Forests. The main hypothesis is that areas near power lines are more likely to become wildfire hotspots than other regions.

We used …

Beyond Discrete Indicators: Modeling Intersectional Flood Vulnerability, Sina Razzaghi Asl, Eric Tate, Christopher T. Emrich, Md Asif Rahman, Kaeleb Royster

Political Science & Geography Faculty Publications

Social vulnerability to flooding is shaped by intersectional social marginalization, yet most quantitative assessments employ indicators of single populations. This study applies spatial machine learning to examine how the intersectional social vulnerability indicators of poverty-race, poverty-housing tenure, and race-housing tenure compare with traditional discrete indicators of single populations in predicting flood exposure in California. Using geographically weighted random forests and partial dependence plots, we model spatial heterogeneity and non-linear relationships between social vulnerability and exposure. We quantified flood exposure using a population-adjusted measure derived from building footprints and modeled 500-year fluvial and pluvial flood hazard. The results reveal distinct explanatory …

Global Evidence On Scaling Nature-Based Solutions For Compound Hazards, Sina Razzaghi Asl, Anahita Azadgar

Political Science & Geography Faculty Publications

Nature-based solutions (NbS) are increasingly promoted for climate adaptation to compound hazards, but systematic evidence of their effectiveness is still scarce. We address this gap with a systematic review of 38 studies. Each study was sorted by what its measurement design can support, not by what its authors claim. This produced four groups. Direct studies attribute a measured hazard reduction to the intervention, proxy studies infer protection from ecosystem condition, prioritization studies map suitable locations without estimating performance, and qualitative studies describe effectiveness without measuring it. We detect trends in geographic distribution, hazard combinations, intervention types, methodological approaches, and strength …

Validating Uas Lidar With Airborne Lidar For Precision Streamline Generation In Del Rio Springs, Arizona, Brad Rudy, Colton Weeks, Hank Vincent, Ronny Schroeder

Student Works

Accurate streamline delineation and high-resolution topographic products are essential across numerous disciplines, including hydrological analysis, environmental monitoring, construction, and erosion modeling. Products derived from high-accuracy elevation data provide greater reliability and improved decision-making outcomes for all fields that depend on them. A 2018 USGS airborne LiDAR dataset covering the Del Rio Springs riparian area north of Chino Valley, Arizona, offers a valuable opportunity to evaluate the relative accuracy of the DJI L1 LiDAR sensor when mounted on a Matrice 300 RTK UAV platform. Compared to traditional manned airborne systems, the UAV-mounted L1 provides high-accuracy, high-density point cloud data over small …

High-Resolution Mapping Of Soil Moisture Variation Using Uas Thermal And Multispectral Imagery, Jackline Amma Timah

Theses and Dissertations

In agricultural landscapes, soil moisture regulates hydrologic partitioning, nutrient transport and water quality, land-atmosphere energy exchange that shapes local climate, and ecosystem resilience. However, traditional monitoring approaches, such as in-situ sensors and satellite imagery, often lack the spatial resolution required to capture fine-scale soil moisture variability. This study evaluated whether unmanned aerial system (UAS)-derived thermal, multispectral, and terrain variables can capture fine-scale spatial variability in volumetric water content (VWC) within an SRB in central Illinois.

High-resolution imagery was collected and paired with 50 field-measured VWC observations. Land surface temperature (LST), vegetation indices (NDVI and NDRE), spectral bands, and slope were …

Walking In The Footsteps Of My Ancestors: A Deep Map Of Cherokee Forced Removal, Deborah Lyn Kirk

Graduate Theses, Dissertations, and Problem Reports (ETD)

In this study of the place of Cherokee forced removal, I use a Third Space approach to blend Indigenous Methodologies, Deep Mapping, Geospatial mapping and analysis, and 3D Geography. Using a hybrid platform that provides a mélange of media types, storytelling forms, and interactive tools, I reimagine and retell the story of the Cherokee “Trail of Tears.”

In accordance with Cherokee philosophies of duyuktv, harmony, and “a good mind” I first sought out Cherokee sponsorship from community respected and culturally knowledgeable Cherokee citizens; partnered with the National Trail of Tears Association (NTOTA); submitted my research proposal to the Cherokee …

Geospatial Investigations Of Big Buckhead Cemetery, Millen, Ga, Audrey E. Popard

College of Graduate Studies: Theses & Dissertations

Geospatial investigations of burials are increasingly recognized as the most efficient and ethical means of determining grave locations in forensic and bioarchaeological research. A methodology of multi-tiered geospatial investigation has been applied to the Big Buckhead Baptist Church cemetery in Millen, GA. Using the systematic layering of geospatial technologies, the present study seeks to identify ground surface anomalies, with the objective of delineating known and potential unknown burial locations. It is hypothesized that the layered use of Light Detection and Ranging (LiDAR), Geographic Information Systems (GIS), and Ground Penetrating Radar (GPR), will allow for the most efficient and accurate demarcation …

Mapping Climate Risks & Building Resilience: A Participatory Approach To Harvester Safety In Kakisa, Nwt., Susan Kerubo Ombwori

Theses and Dissertations (Comprehensive)

The Ka’a’gee Tu First Nation (KTFN) community in the Northwest Territories is experiencing rapid environmental changes which are driven by climate change. These changes are threatening the community’s food security. The community is seeing a disruption to its traditional land-based food systems due to increasing climate risks such as unpredictable weather, thawing permafrost, wildfires, and flooding. These changes are reducing access to traditional foods and intensifying threats to harvester safety. Building on the existing relationship with the community through previous projects, this thesis examines the impacts of climate risks on the availability and access of the KTFN’s on the land …

Gis Librarians' Involvement In Critical Information Literacy Instruction, Melissa Chomintra, Pete E. Pascuzzi

Libraries Faculty and Staff Scholarship and Research

Critical information literacy (CIL) is a theory and practice that considers the sociopolitical dimensions of information and knowledge production. As the field of geospatial information evolves, equipping librarians with the skills to critically engage with geospatial information becomes integral to facilitating informed research, promoting spatial literacy, and strengthening the accessibility of geospatial data for their user communities. To understand geospatial data librarians’ current involvement in CIL, librarians were surveyed to examine if they incorporate CIL into their instruction, how they incorporate CIL into their instruction, and what are the benefits and challenges of doing so. The survey gathered both quantitative …