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Articles 1441 - 1470 of 34011
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Promoting Collaboration And Multi-Directional Reliance By Sharing Mental Model Information For Effective Multi-Agent Teaming, Audrey L. Aldridge
Promoting Collaboration And Multi-Directional Reliance By Sharing Mental Model Information For Effective Multi-Agent Teaming, Audrey L. Aldridge
Theses and Dissertations
Successful human-agent teaming requires teammates to form and maintain a shared or common understanding of several attributes regarding taskwork and teamwork. With enhanced information sharing, mental model development, and team functionality, teammates (human, autonomous) can learn to anticipate each others' behaviors, preferences, and needs as well as understand their capabilities and limitations. In designing a framework to support this type of cooperative teaming, there is a need to determine how sharing knowledge, mental models, and common understandings impacts teaming dynamics and performance. By incorporating each individual's understanding into a human-agent interface, this research enables better team coordination and performance through …
The Teaching Experiences Of Black Women Faculty In Educator Preparation Providers Licensure Programs At Predominantly White Institutions, Tiffiney M. Atterberry
The Teaching Experiences Of Black Women Faculty In Educator Preparation Providers Licensure Programs At Predominantly White Institutions, Tiffiney M. Atterberry
Theses and Dissertations
Understanding the experiences that Black women faculty encounter in instructional spaces of Educator Preparation Providers licensure programs (hereafter referred to as EPPs) at predominantly White institutions are important for institutional change and reform to occur. In spaces of EPPs, Black women faculty are forced to cope and deal with racialized issues such as feelings of social isolation, a lack of inclusion, acts of microaggression from students, disrespectful acts, and students challenging their knowledge and credentials. The purpose of this qualitative study was to explore how Black women faculty narrate their teaching experiences in EPPs at PWIs. The use of Collins’ …
Evaluation Of Plant Growth Regulators On Sweetpotato Slip Propagation, Kerington Lyn Bass
Evaluation Of Plant Growth Regulators On Sweetpotato Slip Propagation, Kerington Lyn Bass
Theses and Dissertations
Sweetpotato production is often impacted by high mortality of slips during transplantation to the field, particularly with greenhouse-grown slips. These slips develop thinner stems, thus being more vulnerable to transplant shock, resulting in reduced establishment. To address this issue, the study evaluated the effects of four plant growth regulators on the morphological and anatomical characteristics of sweetpotato slips. In the first experiment, external growth parameters were recorded over four weeks, followed by post-harvest assessments of plant and root material. In the second experiment, the widths of various stem structures in stained cross-sections of slip stems were measured. Results showed that …
The Influence Of Nature On Design: A Focus On The Flora And Fauna Influence On 18th And 19th Century Decorative Arts, Rachel Ann Bozeman
The Influence Of Nature On Design: A Focus On The Flora And Fauna Influence On 18th And 19th Century Decorative Arts, Rachel Ann Bozeman
Theses and Dissertations
This study aims to assist interior designers and preservationists in enhancing interior decoration by appreciating decorative arts in a historically accurate and visually appealing manner. It places a strong emphasis on the profound influence of nature on design. For centuries, creatives have drawn inspiration from nature, leading to the creation of unique design elements and decorative objects. In the eighteenth and nineteenth centuries, naturalists produced floral and faunal prints that reflected this inspiration. Nature's impact on design extends beyond aesthetics; it also affects how individuals feel within a space. The environment one person inhabits influences his or her state of …
The Effect Of Ultrasound Transducer Type On Diagnosing Medial Meniscal Injury In Dogs With Cranial Cruciate Ligament Injury, Thomas Campbell
The Effect Of Ultrasound Transducer Type On Diagnosing Medial Meniscal Injury In Dogs With Cranial Cruciate Ligament Injury, Thomas Campbell
Theses and Dissertations
Ultrasonography is reported to be accurate in diagnosing meniscus injuries in dogs but the effect of transducer type has not been studied. The aim was to determine the effect of ultrasound transducer type on utility of meniscal ultrasound. We hypothesized that ultrasonography will provide good diagnostic utility for meniscal injury and that linear transducers will perform best. In this prospective study, the ultrasonographic findings of the medial meniscus using three transducers were compared to arthrotomy findings. Thirty-nine stifles were included with an injury prevalence of 23/39 (59%). The standard linear transducer provided the highest negative predictive value (60%). The small …
The Role Of Institutional Image In First-Generation Student Choice To Attend A Rural Southern Community College, Megan Caves Clark
The Role Of Institutional Image In First-Generation Student Choice To Attend A Rural Southern Community College, Megan Caves Clark
Theses and Dissertations
As higher education continues to become more competitive with each passing year, research indicates that a favorable image perception of an institution can be achieved through strategic social media presence. With previous literature primarily discussing the impacts of institutional image at a university level, this dissertation explores the role of institutional image in first-generation student choice to attend a rural Southern community college. Using photo elicitation, this qualitative study sought to understand how a rural community college’s social media influences rural, first-generation student’s perception of the college. Results indicated that institutional image perception through social media may play a role …
Neural Signatures Of Adhd: A Fast Periodic Visual Stimulation Eeg Study, Haleigh Brielle Davidson
Neural Signatures Of Adhd: A Fast Periodic Visual Stimulation Eeg Study, Haleigh Brielle Davidson
Theses and Dissertations
Fast Periodic Visual Stimulation (FPVS) offers an objective approach for investigating neural responses to emotional stimuli. This study explores the use of FPVS to identify neurophysiological markers associated with Attention Deficit Hyperactivity Disorder (ADHD) by comparing brain responses between ADHD and Non-ADHD participants. EEG data were collected while participants viewed sequences of neutral faces mixed with emotional oddball expressions (Angry, Fear, Happy, and Sad). Frequency-domain analyses were performed to compute Baseline-Corrected Amplitudes (BCA) and Signal-to-Noise Ratios (SNR) across occipitoparietal, occipitotemporal, parietal, and frontal regions of interest. Results revealed significantly reduced BCA and SNR values in ADHD participants, particularly in the …
The Effects Of Ataxin-1 Overexpression In The Central Nervous System On Specific Behavioral And Physiological Characteristics Of Drosophila Melanogaster, Sydney Davis
Theses and Dissertations
Spinocerebellar ataxia type 1 (SCA1) is a dominantly inherited neurodegenerative disease caused by a CAG repeat expansion in the ataxin-1 gene, which results in an abnormally long polyglutamine tract. Similarly, overexpression of wildtype Ataxin-1 (wt-Atx-1) in Drosophila melanogaster leads to neurodegeneration, reduced lifespan, and impaired negative geotaxis. Observations include disruptions in sleep-wake cycles, increased oxidative stress biomarkers (like protein carbonyls), and dysregulation of developmental genes such as armadillo (arm) and nemo kinase (nmo). Additionally, elevated expression of SUMOylation-related genes (Aos-1, Uba2, and dSmt3 or dSumo) and increased SUMO protein levels indicate enhanced SUMOylation in the brain. Quantitative analysis of neuronal …
Real-Time Enhanced Tornado Warning Product Guidance Based On Tornado Debris Signature Height And Population Density, Alexander Cooke
Real-Time Enhanced Tornado Warning Product Guidance Based On Tornado Debris Signature Height And Population Density, Alexander Cooke
Theses and Dissertations
This research aims to develop an operational program for enhancing real-time tornado warning capabilities by integrating tornado debris signature (TDS) analysis with population impact assessment. The proposed Python-based tool will ingest Level II radar data to identify and analyze TDS, estimating tornado intensity based on maximum TDS height. For high-intensity tornadoes, the program will project the potential impact area using storm motion vectors and integrate this with population density data. The system will assess whether the situation meets National Weather Service criteria for enhanced warning products, providing forecasters with rapid, objective guidance for critical warning decisions. The program’s performance will …
Optimizing Mars Terrain Segmentation With Weakly Supervised Learning: A Focus On Weighted Loss From Annotation Metadata, Malika Dutta
Optimizing Mars Terrain Segmentation With Weakly Supervised Learning: A Focus On Weighted Loss From Annotation Metadata, Malika Dutta
Theses and Dissertations
The study of planetary surfaces heavily depends upon space rovers that gather detailed images of terrain needed for analysis and navigation. Deep neural networks and other sophisticated machine learning techniques are necessary for autonomous navigation in challenging terrain. However, the inconsistent annotations by citizen scientists frequently hinder the performance of these models. This study seeks to optimize terrain segmentation to improve the autonomous capabilities of future Mars rovers by presenting a novel weakly supervised learning framework to handle noise and unreliability in datasets. Using factors like number of clicks, pixel accuracy, and annotator dependability, the method utilizes annotation metadata in …
Multi-Modal Sensor Fusion Of Radar And Lidar For Enhanced Navigation In Obstacle-Occluded Environments, Kyler Ashton Farrar
Multi-Modal Sensor Fusion Of Radar And Lidar For Enhanced Navigation In Obstacle-Occluded Environments, Kyler Ashton Farrar
Theses and Dissertations
Multi-sensor fusion is a practical and well-researched methodology to combine a variety of incoming sensory data into an enhanced digital representation of a real-world environment. A typical use-case for multi-sensor fusion is the combination of LiDAR and RADAR data to obtain simultaneous 3D positioning and velocity measurements for a particular RoI (Region of Interest). This study investigates LiDAR/RADAR sensor fusion for enhanced navigation information when placed in obstacle-occluded environments such as highly vegetated areas. Specifically, a novel fusion-map approach is designed and evaluated for use with a LiDAR/RADAR sensor suite to produce a fused cost map to determine optimal and …
Atmospheric Turbulence Education Effects On Flight Anxiety, Megan A. Hanna
Atmospheric Turbulence Education Effects On Flight Anxiety, Megan A. Hanna
Theses and Dissertations
This study examines the effect of turbulence education on flight anxiety. A pre-post methodology measured students’ anxiety levels before and after a study abroad flight, using an educational video during the pre-flight survey to change their feelings. The Flight Anxiety Situations (FAS) questionnaire assessed anxiety at three survey points: pre-video, post-video, and post-flight. Qualitative analysis using Friedman’s test and the Wilcoxon Signed-rank test, indicated that turbulence education effectively decreased generalized and anticipatory flight anxiety, particularly in non-phobic students. Text analysis of open-ended responses suggested increased scientific knowledge post-video helped students apply technical atmospheric processes to their feelings. Turbulence education was …
Interactions Between Different Deformation Mechanisms In Magnesium, Ethan T. Holder
Interactions Between Different Deformation Mechanisms In Magnesium, Ethan T. Holder
Theses and Dissertations
Magnesium is a strong and lightweight material with the potential to be used for weight reduction in various industries. However, manufacturing magnesium parts is difficult because magnesium is brittle at room temperature. Understanding the underlying deformation mechanisms in magnesium is critical to improving its ductility. In this work a Rapid Artificial Neural Network (RANN) potential was used to perform a Molecular Dynamics (MD) simulation in Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) to study twin formation and growth as well as interactions between different twin modes in a magnesium bicrystal. This work offers insight into the mechanisms of plastic deformation in …
Corn (Zea Mays L.) Productivity, Profitability, And Environmental Sustainability Responses To Nitrogen Application Strategies, Morgan Hutton
Corn (Zea Mays L.) Productivity, Profitability, And Environmental Sustainability Responses To Nitrogen Application Strategies, Morgan Hutton
Theses and Dissertations
Nitrogen (N) fertilizer is a critical and costly component in mid-southern United States (US) corn (Zea mays L.) production. This study was conducted to determine whether corn productivity, profitability, and environmental sustainability could be manipulated through N application strategies. The effects of N rate, application system, and urea ammonium nitrate (UAN) injection strategies on corn grain yield, N uptake, and runoff N were investigated near Brooksville, MS and Tchula, MS. In 2023 and 2024, N rate nor application system nor trench covering strategies nor UAN injection depth affected corn grain yield. Injecting UAN in two trenches 20 cm from crop …
Over And Under Identification Of Emotional Disturbance (Emd) In Minority Students: Implications For Best Practices In Emd Assessment, Danielle Chanell Jackson
Over And Under Identification Of Emotional Disturbance (Emd) In Minority Students: Implications For Best Practices In Emd Assessment, Danielle Chanell Jackson
Theses and Dissertations
Emotional Disturbance (EmD) remains one of the most inconsistently defined and assessed categories under the Individuals with Disabilities Education Act (IDEA), leading to widespread misidentification that disproportionately affects minority students. This study investigates systemic biases in EmD assessment practices, highlighting how subjective criteria and a heavy reliance on clinical judgment perpetuate disparities in identifying African American and Latino students in special education. To better understand these biases, the study sought to identify which assessment components school psychologists most frequently utilized when making eligibility determinations for EmD. Quantitative analysis revealed that while race was not a statistically significant predictor of EmD …
Designing An Instructional Coaching Model For Residency-Based Alternate Route Teacher Candidates In Mississippi To Improve Instructional Competencies And Self-Efficacy, Lamareshia Daoma Johnson
Designing An Instructional Coaching Model For Residency-Based Alternate Route Teacher Candidates In Mississippi To Improve Instructional Competencies And Self-Efficacy, Lamareshia Daoma Johnson
Theses and Dissertations
Alternate route teachers are adult learners who enter the teaching profession through nontraditional pathways, often without formal training in education. While they bring diverse experiences and a commitment to student success, they frequently face challenges in translating theoretical knowledge into effective classroom practice. Research indicates that instructional coaching serves as a critical bridge between pedagogical theory and practical application, providing job-embedded professional development that enhances instructional competencies. At its core, instructional coaching is a collaborative partnership built on trust and respect, offering teachers a supportive space to reflect on their practice, receive targeted feedback, and develop their professional identity. Alternate …
An In Depth Examination Of Educational, Family, Economic, And Personal Determinants On Academic Performance, Engagement, And Stress: A Comprehensive Study Among Engineering Students, Oumaima Larif
Theses and Dissertations
This study explores the effects of family, education, economic, and personal factors on students’ decisions to pursue engineering as a profession and their long-term impact on performance as engineering students. We adopted a mixed-method approach, collecting data through surveys administered to undergraduate and graduate engineering students at Mississippi State University. The study results revealed that family, education, economic, and personal factors profoundly influence students' decisions to study engineering. We found that parental expectations, background information, and socioeconomic status, in conjunction with cultural norms, values, gender expectations, and religious beliefs, affect students. Additionally, this study identified gaps in the existing literature …
Best Practices In Community College Adult Education: Literature Review And Synthesis, Jon H. Lightsey
Best Practices In Community College Adult Education: Literature Review And Synthesis, Jon H. Lightsey
Theses and Dissertations
This study emphasizes the importance of adult education students and the critical lack of knowledge about promoting their success on satellite campuses in rural and low socioeconomic areas. This study aims to investigate best practices in adult education at community colleges to maintain the number of students enrolled until their program or training is completed. The high School Equivalency Diploma options include the GED, HiSET, and Competency-Based High School Equivalency Option. The results indicate adult education students might be more successful if they received the support services needed, such as counseling, tutoring, time management, and goal setting. This literature review …
Cyber Security Threat Recognition And Preparedness Of Undergraduate Students, Litany Hope Lineberry
Cyber Security Threat Recognition And Preparedness Of Undergraduate Students, Litany Hope Lineberry
Theses and Dissertations
Cybersecurity awareness and preparedness are critical competencies for individuals across academic disciplines and professional sectors. However, undergraduate students often lack sufficient knowledge and skills to recognize and mitigate cybersecurity threats. This dissertation examines cybersecurity threat recognition and preparedness among undergraduate students through a three-phase research approach. Study 1 explores faculty perspectives on students' cybersecurity awareness, identifying gaps in knowledge and preparedness across various fields of study. Study 2 investigates industry professionals' perceptions of new hires’ cybersecurity readiness, assessing the alignment between academic training and industry expectations. Study 3 evaluates the effectiveness of an online intervention designed to enhance students' cybersecurity …
Asphalt Durability Improvements By Way Of Specification Advancements, Jessica V. Lewis
Asphalt Durability Improvements By Way Of Specification Advancements, Jessica V. Lewis
Theses and Dissertations
The objective of this dissertation is to provide content through which industry and agencies can adjust and/or update standards and specifications, as appropriate, to accommodate the present-day needs of the asphalt industry towards producing more durable asphalt. A total of 78 asphalt mixtures and 9 asphalt binders were evaluated for up to 10 years of field aging to provide content that was analyzed to meet this objective. A full-scale aging site in Columbus, Mississippi was the focal point of the aging experiments. A major conclusion from this work was that Cantabro Mass Loss (CML) testing of cores was able to …
Taking Flight: Utilizing Unmanned Aerial Systems To Sample Insects In Soybean, William "Covey" Lockhart
Taking Flight: Utilizing Unmanned Aerial Systems To Sample Insects In Soybean, William "Covey" Lockhart
Theses and Dissertations
Insect scouting in soybean is a labor-intensive task but is needed throughout the season to minimize losses. When soybeans are tall, soils are wet, or soybeans are planted in narrow rows, walking through these fields can be difficult. To overcome these limitations of manual sampling, an unmanned aerial vehicle (UAV) sampling platform was developed that can collect insects in a sweep net attached to the bottom of a UAV. This system has been named the “Drone Insect Net Sampling System” (DINSS). Previous research with this system has shown positive correlations to traditional manual sampling methods. To improve this system, modifications …
A Rapid Artificial Neural Network Interatomic Potential For Bismuth, Lee Michael Mayfield Jr.
A Rapid Artificial Neural Network Interatomic Potential For Bismuth, Lee Michael Mayfield Jr.
Theses and Dissertations
To study molecular dynamics in bismuth, Quantum Espresso was used to create a density functional theory (DFT) database which was then used as the input for rapid artificial neural network (RANN). The RANN interatomic potential that was developed using this database was then validated. Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) was used to create simulations and gather data using the RANN potential. The properties of bismuth, including elastic constants, melting points, and volume change, were calculated and compared to DFT and experimentally observed data. The RANN potential coincided well with these values. The RANN potential shows good predictive capabilities for …
Integration Of Machine Learning Techniques With Computational Fluid Dynamics For Enhanced Backward-Facing Step Flow, Yahya Mekkaoui
Integration Of Machine Learning Techniques With Computational Fluid Dynamics For Enhanced Backward-Facing Step Flow, Yahya Mekkaoui
Theses and Dissertations
This research presents a novel integrated framework combining computational fluid dynamics (CFD) with machine learning techniques to enhance the analysis of backward-facing step flows. A high-fidelity OpenFOAM CFD simulation was developed and validated against experimental data, accurately predicting the reattachment length (��/�� ≈ 6.18) and velocity profiles throughout the domain. Machine learning models, including Random Forest, Gradient Boosting, and Support Vector Regression, were integrated through a robust data pipeline, with the ensemble approach demonstrating superior performance (RMSE of 1.18 m/s, ��2 of 0.951). Feature importance analysis revealed pressure (32%) and turbulent kinetic energy (28%) as the dominant physical parameters governing …
Investing In Your Own: How University Leaders Should Aim To Invest To Retain Quality Staff In Undergraduate Recruitment Offices, Grant Alexander Nerren
Investing In Your Own: How University Leaders Should Aim To Invest To Retain Quality Staff In Undergraduate Recruitment Offices, Grant Alexander Nerren
Theses and Dissertations
This quantitative narrative inquiry study examined the experiences of undergraduate recruitment professionals, and the impact institutional investment can influence staff retention of these professionals within higher education. Using Job Embeddedness Theory often applied within private industry and Bolman and Deal’s (2017) human resource theoretical framework, the research question was: To what extent are specific dimensions (support, compensation, professional advancement) of institutional investment related to the retention of undergraduate recruitment professionals within higher education? Data were collected using an anonymous online survey that was shared with potential participants via email. Responses were analyzed through SPSS software using item-level and composite score …
Machine Learning Classification Of Drones, Birds, And Bird-Like Drones Using Radar Micro-Doppler, Camera Imagery, And Radar-Camera Fusion, Kester Magalong Nucum
Machine Learning Classification Of Drones, Birds, And Bird-Like Drones Using Radar Micro-Doppler, Camera Imagery, And Radar-Camera Fusion, Kester Magalong Nucum
Theses and Dissertations
Counter-drone systems employ sensors such as radars and cameras to detect, track, and identify drones. These systems can confuse birds with drones, and the advent of bird-like drones exacerbates this problem. This thesis explores radar micro-Doppler, camera imagery, and their fusion for drone and bird classification. First, micro-Doppler models of quadcopters, birds, and bird-like drones were developed to generate a dataset of synthetic spectrograms for training support vector machine, k-nearest neighbors, Naïve Bayes, and convolutional neural network (CNN) classifiers. Second, transfer learning was applied on YOLOv10, a recently developed You Only Look Once object detector model, to detect and classify …
Ai Enabled Autonomic, Safe, And Interactive Intrusion Response System, Damodar Panigrahi
Ai Enabled Autonomic, Safe, And Interactive Intrusion Response System, Damodar Panigrahi
Theses and Dissertations
The exponential rise in internet usage has precipitated a corresponding surge in cyber threats, underscoring the urgent need for advanced cybersecurity solutions. While traditional intrusion detection systems (IDS) can identify these threats, their inability to self-recover leaves systems vulnerable. Intrusion response systems (IRS) have been developed to address this, aiming to auto- matically restore systems to their desired state post-security breach. However, current IRSs often necessitate manual intervention and may not be su!ciently robust against sophisticated threats. To overcome these limitations, we propose an AI-powered Autonomic, Safe, and Interactive Intrusion Response System called ‘Intrusion Response System Digital Assistant (IRSDA)’. IRSDA …
Stakeholder Opinions On Design And Management Strategies At The Pharr Mounds Site, Lauryn Elizabeth Polito
Stakeholder Opinions On Design And Management Strategies At The Pharr Mounds Site, Lauryn Elizabeth Polito
Theses and Dissertations
The Pharr Mounds site along the Natchez Trace Parkway is a culturally significant burial location that is visited by thousands each year. This site is home to the remains of an ancient group of individuals that the current Chickasaw Nation are descended. To provide culturally sensitive management strategies, enhance visitor experience, and to analyze the perspectives of others on design solutions, a mixed-method approach including individual interviews and online surveys were used for three main stakeholder groups including members from the Chickasaw Nation, employees from the National Park service, and public site visitors. Questions addressed mound significance, site accessibility, interpretation, …
Faculty Perceptions And Use Of Open Educational Resources In Postsecondary Stem Classrooms, Gabriel Posadas
Faculty Perceptions And Use Of Open Educational Resources In Postsecondary Stem Classrooms, Gabriel Posadas
Theses and Dissertations
This study examined how faculty in Science, Technology, Engineering, and Mathematics (STEM) or STEM-related fields perceive and utilize open educational resources (OER) in their classrooms and how faculty characteristics (e.g., age, teaching experience, OER experience) influence their adoption. A quantitative survey was administered to 48 STEM faculty across 8 colleges at a large, southeastern university. Findings revealed that faculty generally acknowledged OER’s benefits, particularly its cost-saving potential, and all faculty without prior OER experience and 86.5% of faculty with OER experience expressed neutral to positive perceptions regarding OER’s ability to reduce financial burdens. Faculty with OER experience also recognized its …
Design And Evaluation Of Hollow Cross-Laminated Timber With Corrugated Cores: A Structural Perspective, Suman Pradhan
Design And Evaluation Of Hollow Cross-Laminated Timber With Corrugated Cores: A Structural Perspective, Suman Pradhan
Theses and Dissertations
This study investigates the integration of small-diameter trees (SDT) into cross-laminated timber by developing cellular cross-laminated timber (CCLT) with corrugated panels in the transverse mid-layer. This innovation addresses sustainable building material demands while mitigating forest fire risks associated with SDT. The research progressed through three phases. First, parametric linear finite element modelling (FEM) examined corrugated geometry's influence on CCLT flexural stiffness. Based on these findings and manufacturing constraints, an optimal geometry was designed and fabricated. Experimental testing validated the FEM predictions and demonstrated CCLT's superior normalized modulus of elasticity by density compared to conventional cross-laminated timber (CLT). Second, using modified …
An Overview Of Global Navigation Satellite System Reflectometry In Coastal Wetlands, Luke Andrew Redwine
An Overview Of Global Navigation Satellite System Reflectometry In Coastal Wetlands, Luke Andrew Redwine
Theses and Dissertations
With rising global temperatures, increasing sea levels, and the accelerated erosion of coastal wetlands, efficient methods for monitoring this vulnerable ecosystem are crucial. Traditional approaches, such as manual surveys, are labor-intensive, hazardous, and invasive to the environment they are attempting to protect, while current remote sensing methods are cost prohibitive and rely on irregular data collection techniques. To address these challenges, a scalable solution is needed for reliable and frequent data collection. This study explores the use of GNSS Reflectometry (GNSS-R) combined with unmanned aerial vehicles (UAVs) to monitor the shifting topology in wetlands with minimal human invasion. By leveraging …