Geography Commons^™

Use Of Unoccupied Aerial Vehicle (Drones) Based Remote Sensing To Model Platform Topography And Identify Human-Made Earthen Barriers In Salt Marshes, Joshua J. Ward

Masters Theses

Elevation is a foundational driver of salt marsh morphology. Elevation governs inundation and hydrological patterns, vegetation distribution, and soil health. Anthropogenic impacts at grand scales (e.g., rising sea levels) and local scales (e.g., infrastructure) have altered the elevation of the salt marsh surface, changing the topography and morphology of these ecosystems. This study establishes and assesses means to document and analyze these impacts using Unoccupied Aerial Vehicle (UAV) based remote sensing to model platform topography. This thesis’s first and primary study presents and compares methods of producing high-resolution digital terrain models (DTMs) with UAV-based Digital Aerial Photogrammetry (DAP) and Light …

Automated Identification And Mapping Of Interesting Mineral Spectra In Crism Images, Arun M. Saranathan

Doctoral Dissertations

The Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) has proven to be an invaluable tool for the mineralogical analysis of the Martian surface. It has been crucial in identifying and mapping the spatial extents of various minerals. Primarily, the identification and mapping of these mineral spectral-shapes have been performed manually. Given the size of the CRISM image dataset, manual analysis of the full dataset would be arduous/infeasible. This dissertation attempts to address this issue by describing an (machine learning based) automated processing pipeline for CRISM data that can be used to identify and map the unique mineral signatures present in …

Migration Patterns Of Young Adults In Nevada, Annie Vong, Caitlin J. Saladino, William E. Brown Jr.

Demography

This fact sheet examines data on young adult migration patterns for two commuting zones in Nevada: Las Vegas, AZ & NV and Reno, NV. The original report published by Opportunity Insights features data from the United States Census Bureau and examines young adult migration patterns for commuting zones across the United States.

Learning To Be Reflexive In Qualitative Research: Improving Training For Doctoral Students In Business Schools, Eun Su Lee

The Qualitative Report

Doctoral education in business schools is focused on a functional approach to research training. While this approach is necessary, it rarely encompasses reflexivity in qualitative research, despite its importance. This paper provides the groundwork for educators in business schools to reconsider the conventional approach to teaching qualitative methods. It draws on my personal and professional experience as a key resource to shape its examination of doctoral education in conducting qualitative research. The paper offers points of reflection on the struggle students may face in conducting rigorous qualitative research without appropriately understanding the influence of self with previous experience, preconceived ideas, …

Homelessness Assessment Of The Mountain West, 2023, Mohit Pande, Miguel Soriano Ralston, Riley Ruff, Zachary Billot, Annie Vong, Caitlin J. Saladino, William E. Brown Jr.

Demography

This fact sheet examines 2023 homelessness assessment data from the U.S. Department of Housing and Urban Development for five Mountain West states: Arizona, Colorado, Nevada, New Mexico, and Utah.

Ground Electric Field, Atmospheric Weather And Electric Grid Variations In Northeast Greece Influenced By The March 2012 Solar Activity And The Moderate To Intense Geomagnetic Storms, Georgios Anagnostopoulos, Anastasios Karkanis, Athanasios Kampatagis, Panagiotis Marhavilas, Sofia-Anna Menesidou, Dimitrios Efthymiadis, Stefanos Keskinis, Dimitar Ouzounov, Nick Hatzigeorgiu, Michael Danakis

Mathematics, Physics, and Computer Science Faculty Articles and Research

In a recent paper, we extended a previous study on the solar solar influence to the generation of the March 2012 heatwave in the northeastern USA. In the present study we check the possible relationship of solar activity with the early March 2012 bad weather in northeast Thrace, Greece. To this end, we examined data from various remote sensing instrumentation monitoring the Sun (SDO satellite), Interplanetary space (ACE satellite), the Earth’s magnetosphere (Earth-based measurements, NOAA-19 satellite), the top of the clouds (Terra and Aqua satellites), and the near ground atmosphere. Our comparative data analysis suggests that: (i) the winter-like weather …

Evaluating The Environmental Impacts Of U.S. Historical Oil Spill Incidents, Yiming Liu, Hua Cai

Graduate Industrial Research Symposium

Exposure to risks associated with the production and usage of products, particularly oil, poses significant threats to both ecological systems and human health. Notable examples include the Gulf War Oil Spill (1991) and the Deepwater Horizon Oil Spill (2010). However, numerous smaller-scale oil spills, which collectively contribute to substantial oil releases, often remain overlooked. To fill this gap, our study first developed a detailed oil spill incidents database, covering 1967 to 2023. We quantified the released amount (RA) of oil spills recorded by the National Oceanic and Atmospheric Administration (NOAA). Subsequently, we utilized life cycle impact indicators in ReCiPe to …

Southern Nevada Regional Industrial Study, Brookings Mountain West, Center For Business And Economic Research, Transportation Research Center

Policy Briefs and Reports

Recognizing the ongoing need to diversify the Southern Nevada economy, in 2023 GOED commissioned Brookings Mountain West, the UNLV Center for Business and Economic Research, and the UNLV Transportation Research Center to evaluate how Southern Nevada can leverage its geography and connectivity to neighboring states and metros at the megapolitan level to pursue industrial opportunities in the face of shifting global supply chains, diminishing developable land, the need for efficient management of the regional water supply, and the availability of unprecedented federal resources to support clean energy development, manufacturing, electrification of transportation systems, and supply-chain resiliency.

The study builds on …

Drivers Of Tree Canopy Loss In A Mid-Sized Growing City: Case Study In Portland, Or (Usa), Yunjae Ock, Vivek Shandas, Fernanda Ribeiro, Noah Young

Geography Faculty Publications and Presentations

The benefits of the urban tree and tree canopy (UTC) are increasingly crucial in addressing urban sustainability. Yet, increasingly evident from earlier research is the distributional inequities of UTC and active efforts to expand tree plantings. Less is known about the dynamics of UTC loss over time and location. This study aims to understand the dynamics of UTC change, especially canopy loss, and to investigate the drivers of the loss. This study draws on a high–resolution dataset of an urban canopy in Portland, Oregon, USA, assessing changes in UTC from 2014 to 2020. By integrating demographic, biophysical, and policy data …

Relocating Lubra Village And Visualizing Himalayan Flood Damages With Remote Sensing, Ronan Wallace, Yungdrung Tsewang Gurung, Ryan Kastner

Journal of Critical Global Issues

As weather patterns change worldwide, isolated communities impacted by climate change go unnoticed and we need community-driven solutions. In Himalayan Mustang, Nepal, indigenous Lubra Village faces threats of increasing flash flooding. After every flood, residual muddy sediment hardens across the riverbed like concrete, causing the riverbed elevation to rise. As elevation increases, sediment encroaches on Lubra’s agricultural fields and homes, magnifying flood vulnerability. In the last monsoon season alone, the Lubra community witnessed floods swallowing several agricultural fields and damaging two homes. One solution considers relocating the village to a new location entirely. However, relocation poses a challenging task, as …

A 20-Year Ecotone Study Of Pacific Northwest Mountain Forest Vulnerability To Changing Snow Conditions, Todd R. Lookingbill, Jack Dupuy, Ellery Jacobs University Of Richmond, Matteo Gonzalez, Tihomir S. Kostadinov

Geography and the Environment Faculty Publications

Background: Global climate change is expected to significantly alter growing conditions along mountain gradients. Landscape ecological patterns are likely to shift significantly as species attempt to adapt to these changes. We evaluated the extent to which spatial (elevation and canopy cover) and temporal (decadal trend and El Niño–Southern Oscillation/Pacific Decadal Oscillation) factors impact seasonal snowmelt and forest community dynamics in the Western Hemlock–True Fir ecotone region of the Oregon Western Cascades, USA. (2) Methods: Tsuga heterophylla and Abies amabilis seedling locations were mapped three times over 20 years (2002–2022) on five sample transects strategically placed to cross the ecotone. Additionally, …

Family Tourism: Understanding The Concept And Improving The Parents - Children Relationship, Anukrati Sharma Anu, Shruti Arora Dr.

Journal of Sustainability and Resilience

Family tourism is driven by the increasing importance placed on promoting family togetherness, keeping family bonds alive and creating family memories. It not only builds life long memories, but also gives break away from the usual routine, opening the minds to new cultures, foods and experiences and even good for health. According to the researchers, positive relationships between parents and children are important for children’s overall development and builds trust. Various articles on family tourism from 2010 to 2023 were gathered from the Web of Sciences, UGC Journals, Scopus indexed journals, books, websites and was reviewed by the researchers.

Examining Crises Resilience In Tourism : A Systematic Review Of Literature, Kanyamwa Lunanga Félix, George Ariya, Priscillah Omagwa

Journal of Sustainability and Resilience

This study is the systematic review of literature on the resilience of tourism businesses. Following the various crises and disasters that shook the World between 2000 and 2020, the interest of researchers in tourism resilience has increased significantly. Despite the interest felt by these scientists, the notion of resilience has remained fragmented in terms of its definition and dimensions. This review presents an overview of the literature on the resilience of tourism businesses from 2013 to June 2023. The study revealed that there is a lack of cohesion in the literature on resilience from the definition to its influencing factors. …

Toward Energy-Efficient Deep Neural Networks For Forest Fire Detection In An Image, Yali Wang, Chuulabat Purev, Hunter Barndt, Henry Toal, Jason Kim, Luke Underwood, Luis Avalo, Arghya Kusum Das

The Geographical Bulletin

Forest fires cause huge losses and are a serious problem facing many countries worldwide, including the USA, Canada, Brazil, Siberia, and Indonesia, to name a few. Automatic identification of forest fires in an image is thus an important field to research in order to minimize disasters while also helping in mitigation planning and designing rescue tactics. Artificial Intelligence technologies, especially deep neural networks, have emerged recently with promises to detect fires with better accuracy from an image. However, the massive energy consumption of deep neural networks thwarts their widespread adoption, especially when it comes to onsite detection of fire utilizing …

Gis-Based Spatial And Temporal Analyses Of Motor Vehicle Crashes In The Atlanta Metropolitan Region 2017-2021, Heyward Stober, Jeong C. Seong

The Geographical Bulletin

Motor vehicle crash analysis is among the most insightful metrics for public safety officials, researchers, and drivers. In this article, geographical information systems (GIS) tools were used to study the spatial and temporal trends of traffic crashes and fatal crashes. The methodology involves collecting spatial crash data over time and using computer-based analysis to overlay the road data against various spatial and temporal parameters in the Atlanta metropolitan region. Results show major crash hotspots in the region, such as the cites of Marietta, Kennesaw, and College Park. Hotspots tend to form on interstate highways, while smaller state highways have fewer …

Modeling The Impact Of Ocean Temperature Increases On The Distribution Of Seagrasses Around The Korean Peninsula Using A Machine Learning Technique, Jina Jang, Seohyeon Kim, Jeong Seong

The Geographical Bulletin

Seagrasses are important resources which form a vital part of the ocean ecosystem. They are also considered blue carbon because of their capability of sequestrating carbon. Seagrass distribution can be affected by many factors including ocean temperature. It is highly likely that recent climate change may increase ocean temperature significantly in East Asia and consequently alter seagrass distribution patterns. This study aims at predicting the impact of ocean temperature increases on seagrass habitats around the Korean Peninsula. Using the Maximum Entropy (MaxEnt) Model, seagrass habitat distributions were modeled when sea temperature rises by 1°C, 2°C, 3°C, and 4°C. Results show …

Recovery Of Microtopography Following Prairie Restoration: Implications For Biodiversity Monitoring, Karli Cich, Scott Powell

The Geographical Bulletin

Tallgrass prairies are often restored from agricultural fields where the natural microtopography has long since been removed. Therefore, our study investigates the degree to which restored prairies recover microtopography. Differences in microtopography were measured using precise elevation data collected from LiDAR to compare differences in microtopography between crop fields, fallow fields, newer restored prairies, and older restored prairies. We also compared plant biodiversity indices between newer and older restored prairies using nested plot vegetation sampling. Our first research question is how microtopography differs between the sites. Our results show that older restored prairies had the most microtopographic variation, followed by …

Predicting Cloud Fraction With Instantaneous Direct And Diffuse Shortwave Solar Irradiance, Jamison Lerma, Emily K. Blackaby, Maosi Chen, Sasha Madronich, Wei Gao

The Geographical Bulletin

The purpose of this study is to compare the different performances of three commonly used models (i.e., linear regression, random forest regression, and deep neural network (DNN)) to predict cloud fraction (CF) using ground-based shortwave solar radiation measurements and analyze the importance of the input features. The CF data are obtained from the Surface Radiation Budget (SURFRAD) and the Atmospheric Radiation Measurement (ARM) and the irradiance data from the USDA UV-B Monitoring and Research Program. The study finds that CF of opaque and total clouds can be best predicted using both Random Forest Regression and DNN with the validation R2 …

Prediction Of Traffic Congestion Using A Time-Series Model And Spatiotemporal Data: A Case Study Of The Atlanta Downtown Connector, Yunsik Kim

The Geographical Bulletin

Traffic congestion poses significant socio-economic challenges, and many urban commuters experience time and cost burdens due to traffic jams. Effectively managing and predicting traffic congestion is crucial for contemporary urban planning and operations. This study aims to predict congestion using time-series deep learning models, focusing on a chronically congested road section. The research area is the Atlanta Downtown Connector, a heavily trafficked route passing through the heart of the city of Atlanta. To address issues often associated with sensor and GPS-based data collection, traffic data was obtained from an open-source online map service, Google Maps. A multivariate time-lagged LSTM model …

A Remote Sensing Investigation Of The 2022 Invasion Of Eastern Ukraine On Agricultural Landcover, Michael S. Agbozo, Luke J. Marzen, Chandana Mitra

The Geographical Bulletin

Ukraine-Russian political relations over the years have alternatively experienced periods of tranquility and turmoil with violent conflicts since 1917, including the events of the 2014 annexation of Crimea and the 2022 Russian invasion of the entirety of Ukraine. These conflicts remain developmental threats and their assessment requires multi-perspective analysis. Understanding the spatial dimensions of such conflicts and their consequences on physical and social spaces at varying scales could provide credible scientific impetuses on which targeted post-conflict remediations could be built. This preliminary study therefore takes advantage of the capabilities of satellite remote sensing, to provide quick and effective spatiotemporal analysis …