Geographic Information Sciences Commons^™

Development Of Al Ain Flash Flood Risk Maps Utilizing High-Resolution And Accurate Remote Sensing Data, Khaled Khamis Al Arfati

Thesis/ Dissertation Defenses

Al Ain City has undergone significant land use transformations from 1992 to 2022, marked by a population increase of over 50% and extensive development activities. This period has seen the construction of new residential areas, infrastructure, and commercial establishments, as well as enhancements to green spaces. An analysis of the Digital Terrain Model (DTM) revealed an 83% alteration in the terrain due to urbanization and shifting sand dunes, with most elevation changes under 5 meters. The primary aim of this dissertation is to develop accurate flash flood risk maps for Al Ain using high-resolution remote sensing data. This research highlights …

Territorio Anfibio Y Agroalimentario. La Ruralidad Cenagosa, Cristan Abad Restrepo

Educación

Las comunidades que habitan los ecosistemas cenagosos gestionan su vida en conjunto con el agua. Existe un espacio relacional donde todo es interacción, de allí que el bienestar de las poblaciones depende de la calidad del agua de las ciénagas, de la producción del pescado y de la biodiversidad. Sin estas condiciones, los territorios anfibios no pueden reproducir la vida. Cuando el río, el caño y la ciénaga no realiza el intercambio hídrico, las comunidades entran en crisis, porque materialmente depende de esta para sobrevivir. Gestionar esta relación es fundamental para garantizar la vida local. Esta cartografía social del corregimiento …

Exploring The Right To Food Advocacy Landscape In The United States, Andrew Indomenico, Peppi Delliquadri, Chelsea Marshall, Alison Cohen, Josh Lohnes

CRC Research Symposium

The National Right to Food (RtF) Community of Practice (CoP) is a membership-based national coalition of advocates and organizations working to advance the RtF in our cities, towns, and states. This research project sought to understand (1) how a membership based organization like the CoP grows into a social movement defined by the visions and needs of its participants, and (2) what the added value is of weaving together existing local and state efforts into a national movement. Through surveys (n= 54) and interviews (n=20) of CoP members, this research sought to understand individual perceptions of RtF principles, and food …

Establishing The Creative Network: Wv's Arts Entrepreneur Ecosystem Project, Mckayla R. Braun, Domenica Queen

CRC Research Symposium

The Tamarack Foundation for the Arts’ (TFA) the fellowship for the arts is an art foundation committed to nurturing the next generation of artists by providing a comprehensive support system designed to promote both creative and professional development. Through its fellowship program, TFA provides artists with access to critical resources, including financial literacy education, mentorship, and structured opportunities for artistic and professional growth. Recognizing that creative talent alone is not always sufficient to sustain a long-term artistic practice, TFA’s mission is to equip fellows with the knowledge and tools necessary to thrive both within and beyond the studio. As part …

Transforming Our Communities: Studying The Impact Of The Wvhub Coaching Program, Haley Mosley, Audrey Bennett, Bradley Wilson, Olivia Mcconnell

CRC Research Symposium

Since Fall 2024, the WVU Center for Resilient Communities and WV Community Development Hub (WVHUB) have worked in partnership to advance action research on their unique community coaching program in West Virginia. Now celebrating 15 years of operation, the Hub is the only statewide community economic development organization in West Virginia. Its purpose is to help communities locate and obtain local, regional, and federal funding resources for various projects. The Hub works with isolated, marginalized communities, especially in rural areas. The Hub seeks to evaluate its community coaching programs. During the past few months, countless organizations have seen financial cuts …

Impacts Of Extreme Weather Conditions On Coastal Fisheries Near Bayou Teche, Louisiana From 2019–2023, Georgia C. Davis

LSU Master's Theses

The region of Southcentral Louisiana, particularly around Bayou Teche, thrives on its commercial and recreational fisheries. These fisheries are occasionally subject to events like extreme weather that cause sudden and unexpected losses (NOAA Fisheries, 2024a). Between 2019 and 2023, a series of extreme weather events impacted southcentral Louisiana near Bayou Teche. This series of extreme events includes Hurricane Barry (2019), Hurricane Laura (2020), Hurricane Delta (2020), Hurricane Zeta (2020), Hurricane Ida (2021), and a United States Drought Monitor (USDM) D4 drought (2023). This study analyzes the impacts of the extreme weather series on coastal fish observed species richness (SR) in …

Prenatal Exposure To Pm2.5 Concentration And Risk Of Preterm Birth In New Mexico; A Seasonal Pattern And Spatio-Temporal Modeling., Onyedikachi J. Okeke

Mathematics & Statistics ETDs

This study investigates the association between prenatal PM2.5 exposure and preterm birth risk in New Mexico (2014–2021). Using descriptive statistics, time series models, and spatial analyses, findings show an average preterm birth rate of 14.87 per 1,000 live births, with moderate correlation (r = 0.727) between PM2.5 levels and very preterm births. While traditional models revealed no significant global effect, spatial methods such as Geographically Weighted Regression (GWR) and Multiscale GWR uncovered strong spatial heterogeneity. PM2.5 effects varied by county (coefficients: -0.00154 to 0.00150), with clustering evident in 2018–2019 (Moran’s I = 0.155–0.174). Results highlight the limitations of global models …

Flood Risk Assessment In Humanitarian Contexts: A Remote Sensing And Gis Methodology Applied To Nyarugusu Refugee Camp, Tanzania, Carolyne Vincent Mbirika

Theses

Flooding is a global challenge, with effects mostly experienced in developing countries due to insufficient data for effective flood risk assessment and management. Refugee settlements are particularly vulnerable to flooding due to their remote locations, high population density, and temporary shelters, necessitating flood susceptibility mapping to effectively mitigate risks and minimize damage prior to flooding events. This study assessed flood susceptibility in the Nyarugusu refugee camp, Tanzania, through Multi-criteria Decision Analysis (MCDA) and Analytical Hierarchy Process using remote sensing and Geographic Information Systems (GIS) approaches. The flood susceptibility map that resulted from this process categorizes flood-prone areas into three classes: …

Development Of Al Ain Flash Flood Risk Maps\ Utilizing High-Resolution And Accurate Remote Sensing Data, Khaled Khamis Al Arfati

Dissertations

Al Ain City has undergone significant land use transformations from 1992 to 2022, marked by a population increase of over 50% and extensive development activities. This period has seen the construction of new residential areas, infrastructure, and commercial establishments, as well as enhancements to green spaces. An analysis of the Digital Terrain Model (DTM) revealed an 83% alteration in the terrain due to urbanization and shifting sand dunes, with most elevation changes under 5 meters.

The primary aim of this dissertation is to develop accurate flash flood risk maps for

Al Ain using high-resolution remote sensing data. This research highlights …

Geo-Ai For Wetland Classification And Evolutionary Analysis, Lirong Yin

LSU Doctoral Dissertations

Wetlands, as a crucial component of the Earth's ecosystem, play a vital role in maintaining ecological balance and preserving biodiversity. However, wetlands are currently facing severe challenges, as both natural and human-induced factors are contributing to their global degradation. Gaining a deep understanding of the species composition and biodiversity within wetland-covered areas and accurately analyzing their changing trends not only helps assess the current and future state of wetlands but also provides strong support for the formulation of scientifically sound wetland conservation strategies. In recent years, the rapid development of geospatial intelligence and remote sensing technologies has brought new opportunities …

Erosion Of Coastal Beaches And Dunes During The Highest Water Level On Record In Southern Maine, Usa (Data Files), Katelyn Dewater, Matthew Pittsley, Johanna Birchem, Ruth Ellis, Tyler Janik, Paige-Marie Merrill, William Kochtitzky

Geographic Information Systems Data Projects

Maine experienced its highest water level ever recorded on January 13, 2024, just two days after another winter storm with an even higher storm surge on a smaller tide. In this study, we aimed to quantify the impact of these storms along five shorelines in York County, Goose Rocks Beach in Kennebunkport, Fortunes Rocks, Middle, Biddeford Pool, and Hills, in Biddeford, and Camp Ellis, Ferry, and Bayview beaches in Saco. We used aerial and unoccupied aerial vehicle (UAV/drone) imagery to analyze the changes in area and volume of dunes and sand along the beaches before, after, and during recovery due …

Locational Data And The Public Interest, William A. Herbert, Micahel Goodchild, Richard Appelbaum, Jeremy Crampton, Gary Langham, Krzysztof Janowicz, Mei-Po Kwan, Katina Michael, Lisa Schamess

Publications and Research

This article presents a paper developed by the AAG Organizing Committee on Locational Information and the Public Interest through a summit held in Santa Barbara, California in June 2022. The summit resulted in goals and ideas for addressing the issues that arise from the present environment for geodata, whereby public, private, and third-sector entities can tap into publicly available locational information with relatively little regulation on its access or use. The Committee articulates four goals: (1) develop a research agenda extending across disciplines, (2) outline educational resources and strategies to guide ethical practice, (3) devise a pathway to increase public …

Integration Of Data Sets For Modelling Gender Violence And Perception Of Insecurity, Sandra Lucia Hernandez Zetina, Ana Belen Anquela Julian, Angel Esteban Martin Furones, Carlos Martinez Montes, Santos Fernandez Noguerol

Articles

The dataset offers a comprehensive information to analyse cities and neighbourhood that are potentially unsafe for women, this information has been collected for four cities: Toluca (Mexico), Valencia (Spain), Dublin (Ireland) and San Francisco (USA). The collection includes quantitative and qualitative variables obtained and processed from open data, georeferenced publications from a social media platform, and points located through participatory mapping sessions.

The data is structured in raw format, organized by country and city, and categorized according to the data source used while processing, which allows unrestricted access with most data analysis software and it does not depend on specific …

Virginia Heat Watch: Collaboration To Assess Climate Vulnerability At Local To Regional Scales, Todd R. Lookingbill, Karin P. Warren, J. Christopher Haley, Elizabeth G. Malcolm, Lisa Jordan Powell, Scott M. Starr, Srarah Melissa Witiak, Michael J. Wolyniak, Beth Zizzamia

Geography and the Environment Faculty Publications

Systematic studies of temperature using consistent, field-validated methods are needed to make inter- and intra-urban heat comparisons and to prioritize resources and mitigation strategies. This study investigated spatial patterns of heat hazard across 10 small- to medium- sized cities in Virginia, USA, using a community science approach. Air temperature data were collected on a high-heat day in July 2021, employing a network of 213 volunteers. Geolocated one-second temperature and humidity measurements were used to create and validate 10-m resolution temperature models for each locality. Results indicate substantial intra-urban temperature differentials even in the smallest localities, averaging 3.2 °C for …

Assessing Vegetation Changes And Ecosystem Impacts Of Invasive Species In Florida's Water Conservation Area 3a (2004–2024) Using Landsat Data, Gideon Tandoh

Research, Papers & Creative Work

The spread of invasive species is a concrete problem, threatening biodiversity, ecosystem integrity, and the functional status of wetlands. As these species continue to advance, it is crucial to assess their spread as well as management success through the more sophisticated invasive monitoring methodologies. This research examines the change in vegetation communities and the spread of invasive plants in the Water Conservation Area 3A (WCA-3A) using Object-Based Image Analysis (OBIA) and Support Vector Machine (SVM) classifiers on time series Landsat images. Unlike traditional pixel-based methods, OBIA enhances classification accuracy by incorporating spatial, spectral, and contextual information, enabling precise differentiation between …

Towards The Next Generation Of Geospatial Artificial Intelligence, Gengchen Mai, Yiqun Xie, Xiaowei Jia, Ni Lao, Jinmeng Rao, Qing Zhu, Zeping Liu, Yao-Yi Chiang, Jiao, Junfeng

Research Collection College of Integrative Studies

Geospatial Artificial Intelligence (GeoAI), as the integration of geospatial studies and AI, has become one of the fastest-developing research directions in spatial data science and geography. This rapid change in the field calls for a deeper understanding of the recent developments and envision where the field is going in the near future. In this work, we provide a quantitative analysis of the GeoAI literature from the spatial, temporal, and semantic aspects. We briefly discuss the history of AI and GeoAI by highlighting some pioneering work. Then we discuss the current landscape of GeoAI by selecting five representative subdomains including remote …

An Analysis Of Green Water Footprint In Java Island Using The Cropwat Model, Emilya Nurjani, Anggun Nur Zahwa, Husnul Khotimah Setiacahyandari, Rofiana Budi Ayumi Sita Dewi, Isna Pujiastuti

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

Every human activity requires water, so if the water needs cannot be met from the natural availability of the region itself, then the water needs must be met from other regions. This concept is the basis for calculating virtual water flow and water footprint. Inequality or imbalance between the availability and demand for water in an area will make water a scarce commodity. From an economic point of view, it will become an economic good. This study aims to analyze agricultural water needs and the green water footprint in each region of Java Island. Calculate crop water requirements for the …

Gis-Based Student Geographic Data Mapping: Islamic University Strategy For Incoming Students, Hasna Tuddar Putri, Laiyina Ukhti, Mahdi Mahdi, Yuli Damayanti

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

IAIN Lhokseumawe is one of the Islamic universities in Aceh that is situated in a location conducive to attracting more students. Nevertheless, this has kept the number of students enrolling at IAIN Lhokseumawe. Over the past five years, the number of students at IAIN Lhokseumawe has fluctuated. The data indicate a need for more linearity in the fan and subscriber trends. Following the implementation of the promotional strategy, the outcome remained unchanged. Consequently, IAIN Lhokseumawe must re-examine the rationale behind student decision-making processes when selecting educational institutions. This approach will allow IAIN Lhokseumawe to develop innovative strategies to increase student …

Analysis Of Knowledge, Utilization, And Technology Adoption Of Digital Learning Resource By Geography Teachers In Sragen And Karanganyar, Indonesia, Wahyu Widiyatmoko, Ratih Puspita Dewi, Siti Azizah Susilawati, Muhammad Musiyam, Devi Nurhalimah, Muslihah Juwita Hapsari, Dias Aziz Pramudita

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

Digital competence is essential for all teachers, including geography teachers. This research aims to analyze the knowledge, utilization, and level of technology adoption of digital learning resources among geography teachers in Sragen and Karanganyar. This study is quantitative research with a survey design. The population of this study consists of all geography teachers in Sragen and Karanganyar, totaling 65 teachers, and this population is used as the sample. The variables used in this research are the level of knowledge, utilisation, and adoption of digital learning resources for teaching GIS material. Data collection was carried out using questionnaires completed by respondents …

Student’S Disaster Preparedness Of Merapi Volcano, Indonesia Using Learning Simulation Virtual Reality (Lsvr) Model, Andi Irwan Benardi, Sumarmi Sumarmi, Syamsul Bachri, Erni Suharini, Atta Ur Rahman, Sriyono Sriyono, Saiful Amin, Joshua Vincent Gerar Yametis

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

This study evaluates the effectiveness of the Learning Simulation Virtual Reality (LSVR) model in enhancing disaster preparedness for Merapi Volcano and examines the relationship between disaster preparedness and student learning outcomes. Conducted with 120 students from two senior high schools located in disaster-prone areas near Merapi Volcano in Sleman Regency, Yogyakarta Province, Indonesia, the research employed a quasi-experimental design with a pretest-posttest control group setup. Essay-based assessments measured learning outcomes, while surveys gauged disaster preparedness levels. The analysis utilized an independent sample t-test and descriptive statistics, revealing the LSVR model’s strengths in delivering innovative and effective content, appealing design, and …

Analysis Of Erosion Rates In North Jakarta For Predicting The Ages Of North Sunter And Pluit Reservoirs, Listyo Yudha Irawan, Ghairandi Al Abrar, Mohammad Tahir B Mapa, Adi Jafar, Shafi Noor Islam, Siti Nur Farihah, Febrian Eka Ardiansyah

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

The Pluit and North Sunter Reservoirs play a critical role in the city’s hydrological infrastructure, particularly in meeting the increasing water demands driven by population growth. However, continuous population shifts, deforestation, and changes in land use have led to sediment accumulation, affecting both water quality and the reservoirs’ operational lifespan. This study aims to evaluate the erosion rate and predict the potential lifespans of the Sunter Utara and Pluit Reservoirs. This research was conducted by integrating Geographic Information Systems and remote sensing using Sentinel-2 datasets and the Universal Soil Loss Equation (USLE) method to calculate sediment accumulation. The findings indicate …

The Role Of Visual Analytics In Remote Sensing Spatial Data Interpretation, Iswari Nur Hidayati, R Suharyadi, Andhika Wisnu Pratama, Herdiansyah Herdiansyah

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

In remote sensing spatial data analysis, various methods are used to understand and evaluate the information obtained. The approach used so far is remote sensing visual analysis which offers various advantages compared to other methods. Visual analysis utilizes visualization techniques to facilitate the identification and interpolation of highly complex patterns of presented spatial data. The main advantage of this analysis is that it presents information that is easy to understand with an approach to spatial data interpretation elements. Another advantage of visual analysis is that it presents intuitive data that allows it to be analyzed quickly, observing relationships and changes …

Groundwater Conservation Zone Model To Support Sustainable Tourism In Coastal Areas: A Case Study In Parangtritis Village, Yogyakarta, Indonesia, Sadewa Purba Sejati, Rivi Neritarani, Mohd Hairy Ibrahim

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

This study aims to determine the environmental characteristics in coastal areas and determine the groundwater conservation zone model in coastal regions. The research was conducted in Parangtritis Village, Bantul Regency, Yogyakarta. The data includes aquifer types, aeration zone materials, and groundwater depth. The data was processed and analysed using Arc GIS Pro software version 2.5. The data were processed by plotting and spatial interpolation techniques to produce thematic maps of environmental characteristics, namely aquifer-type maps, aeration zone material maps, groundwater depth maps, and land use maps. The thematic maps that have been generated are then classified and scored. The classification …

Geospatial Machine Learning Approaches For Studying Urbanization Impact, Surface Reflectance Patterns, And Groundwater Health Risks, Bibhash Nath

Theses and Dissertations

Geospatial machine learning techniques have been used to study: the impact of urbanization on land use and land cover change, surface reflectance patterns in boreal regions, and groundwater health risks from arsenic in India. These studies combined spatial data, remote sensing, and predictive models to gain valuable insights for sustainable living and protecting human health.

Using Spatial Network Analysis To Explore Migration Of Extended Families In Historical Research, Rock Miller

Theses and Dissertations

This project proposes a geoinformatics approach for understanding the migration of extended families in historical contexts. It uses full-count longitudinal census data (developed by the Minnesota Population Center) and graph methods to define multi-generational extended family relationships and to model the locational structures of these families as a spatial network. Graph algorithms and mapping methods are used to interrogate these structures as reflections of the patterns of family outmigration and extension over time. The study is based on a set of extended families resident in a 15-county study area in the Bluegrass region of Kentucky in 1870, and their evolution …

Forest Above-Ground Biomass Estimation Using Nasa Gedi Lidar Waveforms And Global Tree Allometry, Ian Grant

Theses and Dissertations

Above-ground forest biomass plays a crucial role in global carbon cycles, yet accurately estimating biomass at global scales remains challenging. This thesis addresses two key challenges in processing NASA’s Global Ecosystem Dynamics Investigation (GEDI) space-borne lidar data to estimate above-ground biomass density (AGBD): accounting for global variation in forest structure and developing robust physical interpretations of lidar returns. The first component of the thesis analyzes global patterns of tree allometry using the Tallo tree allometry dataset, examining relationships between tree dimensions across biomes, continents, and plant functional types. This analysis reveals consistent allometry across continents for some biomes (e.g., tropical …

Changes In Small Area Flow Accumulation And Watershed Creation In Fredericksburg, Virginia, Jacob P. Lohr

Research and Creativity Symposium

This study explores the application of watershed analysis tools—including the Flow Accumulation, Flow Direction, and Fill tools—on small-scale areas within the rapidly developing City of Fredericksburg. By applying these GIS tools to high-resolution LiDAR-derived Digital Elevation Models (DEMs), the study examines water flow patterns before and after urban development. Results from two primary study sites demonstrate that, when properly utilized, these tools can effectively delineate small-scale hydrological changes from urban development. However, analysis of a third site reveals challenges associated with DEM cleaning. Particularly, the limitations of the Fill tool, highlighting the need for manual editing and further refinement for …

Unlocking Organizational Potential For Gis Collaboration In Higher Education, Charidy Paige

CGU Theses & Dissertations

Hardware, performance, and complex interface issues are just a few barriers that Geographic Information Systems (GIS) instructors must overcome when collaborative efforts extend beyond their classrooms. As GIS technologies evolve, instructors must adapt quickly to new tools and methods to maintain effective collaboration and ensure students achieve positive learning outcomes. Successful cooperation between departments, institutions, and other organizations requires preparation and sustainability throughout the semester to foster meaningful partnerships and support institutional goals. This dissertation applies the Resource Dependency Theory (RDT) to identify and define the challenges faced by GIS instructors, examining how they navigate these barriers by leveraging internal …

Predictive Analysis Of Arizona Dust Storms (1996–2023): Gis, Artificial Intelligence (Maxent), And Spatiotemporal Data, Soheil Bouzari

CGU Theses & Dissertations

This dissertation looks at how well Maximum Entropy (MaxEnt) model can predict duststorms in Arizona, United States. MaxEnt is a machine learning tool that was first developed to predict where different species might live. MaxEnt uses presence-only data which makes it especially useful in environments where reliable absence data is hard to find or unavailable. This study analyzes if the combination of MaxEnt within Geographic Information Systems (ArgGIS Pro) and spatiotemporal data can provide data-driven and reliable predictions of dust storms susceptibility in Arizona. The framework that was used for this study is Design Science Research because of its problem-solving …

Spatial Implications Of Potential Treeline Campfire Restrictions In Selected Usfs-Managed Colorado Wildernesses, Rebecca Hippensteel

Masters Projects

High-elevation ecosystems in Colorado’s Wilderness areas are ecologically sensitive and particularly vulnerable to campfire impacts, which can damage vegetation, alter soil chemistry, and degrade wilderness character. This study presents a preliminary proof of concept evaluating the spatial implications of banning campfires at or above 11,000 feet—used here as a proxy for treeline—in twelve U.S. Forest Service-managed Wilderness areas. Using 30-meter resolution Digital Elevation Models from the USGS National Map and Earth Explorer, a raster-based analysis in ArcGIS Pro identified and quantified acreage above 11,000 feet. Across the twelve Wilderness areas, 268,601 acres were found to lie above treeline, representing an …