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2026

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Articles 2611 - 2640 of 5390

Full-Text Articles in Engineering

Dried Water Treatment Residuals Might Be An Option To Reduce Soluble Reactive Phosphorus Release From Soils, Katie B. Mckay May 2026

Dried Water Treatment Residuals Might Be An Option To Reduce Soluble Reactive Phosphorus Release From Soils, Katie B. Mckay

Biological and Agricultural Engineering Undergraduate Honors Theses

Nonpoint source pollution from agricultural landscapes contributes to freshwater eutrophication, with legacy phosphorus (P) in soils potentially driving soluble reactive phosphorus (SRP) losses to surface waters. The objectives of this study were to evaluate SRP adsorption by dried water treatment residuals (WTRs) produced by Beaver Water District, quantify reductions in soil SRP release across increasing WTR application rates, and compare dried WTR performance to prior WTR studies.

Dried WTRs (~98% solids) were assessed using batch sorption experiments and soil core incubations. Phosphorus sorption was measured by mixing WTRs with CaCl2 solutions containing increasing SRP concentrations and fitting results to …


Monitoring Streambank Morphology Using Iphone Lidar Technology, Lily C. Stitt May 2026

Monitoring Streambank Morphology Using Iphone Lidar Technology, Lily C. Stitt

Biological and Agricultural Engineering Undergraduate Honors Theses

Monitoring stream morphology is crucial for maintaining the health and safety of fluvial environments, particularly as these naturally dynamic systems are shifted out of equilibrium due to climate and land-use change. Quantifying changes in stream geometry are useful for infrastructure design, water quality assessment, water resource management, and stream restoration, among other applications. Traditional stream surveying methods contain numerous cost limitations that inhibit affordable and accessible stream surveying needed for evaluating stream geometry with high accuracy and larger spatial scales (>100s of ). In recent years, several advancements have been made in the use of Light Detection and Ranging …


Cross-Facility Reliable Deep Learning Based Beef Marbling Assessment Via Unsupervised Domain Adaptation Regression, Samuel Vinson May 2026

Cross-Facility Reliable Deep Learning Based Beef Marbling Assessment Via Unsupervised Domain Adaptation Regression, Samuel Vinson

Biological and Agricultural Engineering Undergraduate Honors Theses

Inconsistent quality grading in beef production leads to inefficiencies, economic disparity, and consumer mistrust. While USDA meat grading traditionally relies on skilled visual inspectors, these human evaluations suffer from cross-facility variability and subjectivity. This paper introduces the first known application of unsupervised domain adaptation regression for cross-facility beef marbling score prediction—an innovation that improves generalization across diverse environments in the beef supply chain. Utilizing numerical scores ranging from 100-900, the research employed convolutional neural networks (CNNs), including ResNet, VGG, and AlexNet architectures. The study specifically introduced and validated a unified unsupervised domain adaptation regression method using the ResNet-50 architecture to …


Uav-Based Sensor Integration For In-Situ Lake Water Quality Monitoring, Alec R. Campbell May 2026

Uav-Based Sensor Integration For In-Situ Lake Water Quality Monitoring, Alec R. Campbell

Biological and Agricultural Engineering Undergraduate Honors Theses

Surface water monitoring is often constrained by limited spatial and temporal coverage due to the labor-intensive nature of traditional sampling methods, particularly in environments that are difficult to access or pose safety risks. Unmanned aerial vehicles (UAVs) offer a promising solution by enabling more frequent, spatially distributed, and cost-effective data collection. This study presented the design, development, and field evaluation of a UAV-based system for real-time, in-situ water quality monitoring. The system integrated multiple sensors, including oxidation-reduction potential (ORP), RGB spectrometry, pH, electrical conductivity (EC), dissolved oxygen (DO), and a multispectral spectrometer within a UAV platform.

Field testing was conducted …


Per- And Polyfluoroalkyl Substances (Pfas) In Cave And Withrow Springs, Arkansas, Luke A. Ahlemeier May 2026

Per- And Polyfluoroalkyl Substances (Pfas) In Cave And Withrow Springs, Arkansas, Luke A. Ahlemeier

Biological and Agricultural Engineering Undergraduate Honors Theses

The class of chemicals known as Per- and Polyfluoroalkyl Substances (PFAS) are believed to be widespread in the natural environment, but the full extent of PFAS prevalence is not well understood, particularly in karst springs. The objectives of this study were to (1) collect water samples from Cave Springs and Withrow Springs, Northwest Arkansas, (2) measure for concentrations of 40 PFAS compounds using EPA Method 1633, and (3) compare differences in PFAS concentrations and discuss potential sources of PFAS for each spring. Each spring was sampled on September 29, 2025, October 13, 2025, and November 10, 2025, and water samples …


A Systems Approach To Nitrogen Fertilizer Management: Modeling Emissions And Runoff Pathways In Arkansas Agriculture, Avonelle Lindon May 2026

A Systems Approach To Nitrogen Fertilizer Management: Modeling Emissions And Runoff Pathways In Arkansas Agriculture, Avonelle Lindon

Biological and Agricultural Engineering Undergraduate Honors Theses

Nitrogen fertilizer management is a critical challenge in modern agriculture. This thesis develops a system dynamics model of nitrogen in Arkansas rice and corn systems to explore barriers to translating agricultural research into practical farmer guidance.  The modeling process revealed key challenges: (1) scarcity of Arkansas-specific factors and best management practice (BMP) effectiveness data; (2) tension between model comprehensiveness and accessibility; (3) misalignments in conservation incentive structures; and (4) difficulty in validating models without field measurements. The resulting model demonstrates basic nitrogen cycle processes and BMP integration, but validation against published literature revealed significant issues with predictive accuracy. These findings …


The Influence Of Composition On Porosity And Strength In Planetary Analog Saline Ices, Tara C. Tomlinson May 2026

The Influence Of Composition On Porosity And Strength In Planetary Analog Saline Ices, Tara C. Tomlinson

Dartmouth College Ph.D Dissertations

This thesis investigates how composition influences the physical structure and mechanical behavior of saline ice, with implications for both terrestrial sea ice and the ice shells of ocean worlds such as Europa and Enceladus. This is done through a multi-pronged approach of both numerical modeling and laboratory experiments. Modeling results re- veal that small-scale parameter variations in porosity, permeability, and permeability fac- tor may produce large discrepancies when extrapolated to planetary scales, underscoring the need for improved experimental constraints on pore connectivity and thermochemical conditions. Laboratory analyses show that while total porosity is relatively uniform with depth, it varies strongly …


Reward Representation Learning, Gregory M. Hyde May 2026

Reward Representation Learning, Gregory M. Hyde

Dartmouth College Ph.D Dissertations

The \emph{Markov decision process} (MDP) has long served as the canonical model for sequential decision-making. However, it assumes that the reward function is Markov with respect to a given state representation---an assumption that often does not hold in practice. Instead, agents typically only perceive streams of observations and actions and must infer the latent structure according to which reward unfolds over time. From this perspective, reward prediction is initially non-Markov, reflecting a mismatch between the agent's current representation and the underlying structure of the environment.

In this thesis, we advance the view that reward is not simply a signal to …


Aerodynamic Parameter Estimation For A Scaled F-16: A Simulation-Based Sensitivity Analysis, Kathle C. Tischner May 2026

Aerodynamic Parameter Estimation For A Scaled F-16: A Simulation-Based Sensitivity Analysis, Kathle C. Tischner

All Graduate Theses and Dissertations, Fall 2023 to Present

The physical motion of an aircraft is determined by the resulting forces and moments acting on the aircraft. These forces and moments can be defined as a mathematical equation where the control deflections, rotation rates, and orientation of the aircraft are multiplied by individual constants and summed together to define the entire force or moment. This method results in a highly accurate model that defines the motion of the aircraft at low angles of attack and sideslip. Initial calculations of the aerodynamic model are created based on analytical estimations based on the physical properties of the aircraft. Additional refinement of …


Design Of A Low-Power Magneto-Inductive Magnetometer, Rowan Antonuccio May 2026

Design Of A Low-Power Magneto-Inductive Magnetometer, Rowan Antonuccio

All Graduate Theses and Dissertations, Fall 2023 to Present

Measuring magnetic fields in space helps scientists understand phenomena that can affect satellite communications and navigation systems on Earth. This research develops a new low-power magnetic field sensor for spacecraft that improves upon existing designs by moving the sensitive parts away from electrical interference and using energy-efficient digital electronics for precise measurements. The sensor’s power-efficient design is particularly important for small satellites, where power is limited and must be carefully managed. It will fly on future NASA missions to study disturbances in Earth’s upper atmosphere that can disrupt radio signals and GPS. This work contributes to our ability to better …


Ionospheric Plasma Electron Density Measurement And Theory Using Impedance Probe Techniques, Justin Wellington May 2026

Ionospheric Plasma Electron Density Measurement And Theory Using Impedance Probe Techniques, Justin Wellington

All Graduate Theses and Dissertations, Fall 2023 to Present

The ionosphere plays a critical role in how radio frequency (RF) signals, like those used in Global Position System (GPS) satellite communications, travel through space. Disturbances in the ionosphere, such as equatorial plasma bubbles (EPB), scatter these signals and cause communication dropouts or navigational errors. To study these conditions, spacecraft use instruments that measure the surrounding plasma directly. One of these instruments is an impedance probe, which applies a small electrical signal to a sensor and determines electron density from the measured impedance.

This thesis improves the modeling and interpretation of impedance probe measurements. A numerical method is developed that …


Exploring Cognitive Load Theory In The Post-Secondary Engineering Classroom, Gabriel Q. Van Dyke May 2026

Exploring Cognitive Load Theory In The Post-Secondary Engineering Classroom, Gabriel Q. Van Dyke

All Graduate Theses and Dissertations, Fall 2023 to Present

Engineering programs often emphasize subject-matter expertise over pedagogical training, which can leave students struggling with course demands and contribute to retention challenges. This study applied Cognitive Load Theory (CLT) to examine how undergraduate engineering students experience the cognitive demands of their coursework compared to non-engineering classes. Using a sequential explanatory mixed methods design, cognitive load surveys were followed by interviews to address two research questions: (1) What are the differences in intrinsic and extraneous cognitive load levels between engineering courses and non-engineering courses taken concurrently by undergraduate engineering students? (2) How do engineering students perceive the unique challenges or benefits …


Development Of A Novel Method For Simultaneously Testing Multiple Specimens To Evaluate Tension-Tension Fatigue Life, Mehedi Hasan Mahfuz May 2026

Development Of A Novel Method For Simultaneously Testing Multiple Specimens To Evaluate Tension-Tension Fatigue Life, Mehedi Hasan Mahfuz

All Graduate Theses and Dissertations, Fall 2023 to Present

The aim of this study is to develop a novel method for rapidly evaluating the tension–tension fatigue life of metals. Fatigue failure, which occurs when materials gradually weaken and fracture under repeated loading, is a critical concern in designing safe and reliable structures such as airplanes, cars, and bridges. Traditional fatigue testing methods are slow, costly, and typically limited to one specimen at a time. To address this, a high-throughput testing method was developed that allows multiple small-scale specimens to be tested simultaneously while following international testing standards. Using stainless steel sub-sized specimens scaled at 1:5 relative to the ASTM …


Relaxed Convex Approximation For Optimal Control In Cislunar Space, Jondavid K. Hertzel May 2026

Relaxed Convex Approximation For Optimal Control In Cislunar Space, Jondavid K. Hertzel

All Graduate Theses and Dissertations, Fall 2023 to Present

This thesis develops a method of optimal control for a spacecraft in the region between the Earth and the Moon known as cislunar space. The optimal control method is developed through a modern optimization technique called “convex relaxation” to achieve a formulation that can be reliably solved by numerical computation tools. The primary research objective is to evaluate the efficacy of this method in accommodating the physical thrust constraints of a spacecraft. This approach is tested in simulation with an unstable halo orbit around the Moon in the circular restricted three-body problem (CR3BP) model. The simulation incorporates realistic disruptions from …


Effects Of Subsurface-Drip-Irrigation On Alfalfa Evapotranspiration In The Intermountain West, Namuna Dhakal May 2026

Effects Of Subsurface-Drip-Irrigation On Alfalfa Evapotranspiration In The Intermountain West, Namuna Dhakal

All Graduate Theses and Dissertations, Fall 2023 to Present

Alfalfa is one of Utah’s most important crops, but it is also the largest agricultural consumer of water. Because the state faces frequent droughts and growing pressure on limited water supplies, farmers and water managers are increasingly interested in irrigation systems that could reduce water use. Subsurface drip irrigation (SDI), which delivers water directly to plant roots through buried drip lines, has shown promising results in other regions, where it often reduces water consumption and increases yield. However, little research has evaluated SDI under Utah’s unique climate, soils, and high-elevation valleys.

This study compared an SDI system with a traditional …


Two Applications Of Lifting-Line Theory For The Design Of Efficient Aircraft, Amanda K. Olsen May 2026

Two Applications Of Lifting-Line Theory For The Design Of Efficient Aircraft, Amanda K. Olsen

All Graduate Theses and Dissertations, Fall 2023 to Present

Numerical lifting-line is a tool that can be used to evaluate the forces and moments of an aircraft wing. This method has limitations but it is beneficial in obtaining a large set of results with relatively little computational power. This research seeks to analyze two different flight scenarios through the use of two numerical lifting-line tools developed at the Utah State University AeroLab. The first scenario involves an aircraft in ground effect flight. When an aircraft flies close to the ground, a phenomenon called ground effect occurs where the lift is increased and the induced drag is decreased. Therefore, flying …


Developing And Improving Digital Image Correlation (Dic) Techniques For Challenging Environments, Prasenjit Dewanjee May 2026

Developing And Improving Digital Image Correlation (Dic) Techniques For Challenging Environments, Prasenjit Dewanjee

All Graduate Theses and Dissertations, Fall 2023 to Present

Understanding how materials and parts deform during testing is crucial for creating safer and more reliable engineering systems. Engineers need to measure not only how much a part deforms, but also where deformation concentrates before any damage or failure happens. Digital image correlation (DIC) is a camera-based, non-contact measurement method that tracks surface motion and deformation across a whole area. It is particularly useful when traditional contact-based measurement techniques cannot withstand harsh conditions or capture enough detail. This dissertation develops optical methods to improve DIC in three challenging measurement situations. First, a shortwave ultraviolet lighting technique is developed to reduce …


Development Of A Laboratory Apparatus For Evaluating Infiltration Performance Of Filter Strips In Utah, Pranish Dahal May 2026

Development Of A Laboratory Apparatus For Evaluating Infiltration Performance Of Filter Strips In Utah, Pranish Dahal

All Graduate Theses and Dissertations, Fall 2023 to Present

Stormwater from Utah’s roadways often carries pollutants such as oil, metals, and sediments, especially during small storms when runoff is not diluted. Vegetated filter strips—areas of soil and vegetation placed alongside roads—are one of the most effective ways to capture and clean this runoff before it reaches rivers and lakes. However, choosing the right combination of topsoil and base soil for these filter strips is difficult, expensive, and traditionally requires multiple field visits.

This thesis introduces a laboratory device that allows engineers to test how different soil combinations absorb and filter water without having to go to the field each …


Examining Motivations And Perceptions In Secondary Technology And Engineering Education: A Gendered Analysis Using The Fit-Choice Scale, Abigail Villanueva May 2026

Examining Motivations And Perceptions In Secondary Technology And Engineering Education: A Gendered Analysis Using The Fit-Choice Scale, Abigail Villanueva

All Graduate Theses and Dissertations, Fall 2023 to Present

This study examined why individuals choose to become secondary technology and engineering education (TEE) teachers and whether motivations differ between men and women. TEE programs help prepare students for careers in science, technology, engineering, and math (STEM), yet schools face teacher shortages and low female representation in the field. Understanding what draws people to this profession can support better recruitment and retention efforts. Sixty-six current TEE teachers completed a survey about the factors that influenced their decision to teach. Overall, the strongest motivations were a personal interest in teaching, enjoyment of working with young people, and the desire to make …


Comparison Of Consumptive Use Of Furrow And Drip Irrigated Onions, Chad C. Withers May 2026

Comparison Of Consumptive Use Of Furrow And Drip Irrigated Onions, Chad C. Withers

All Graduate Theses and Dissertations, Fall 2023 to Present

The State of Utah funded agricultural water optimization studies to determine how agricultural water depletion can be decreased while maintaining or improving yields. Conversion from surface irrigation to drip irrigation is investigated as a method to decrease consumptive use.

Some Utah onion producers are converting from furrow irrigation to drip irrigation to decrease water and fertilizer use and improve profits. This study compares the consumptive use and yield of three drip irrigated onion fields against the consumptive use and yield of three furrow irrigated onion fields.

Arrays of soil moisture sensors at various depths were placed in drip and furrow …


Comparative Analysis Of Secure Messaging Systems: Peer-To-Peer Vs Client-Server Architecture, Maddie Luth May 2026

Comparative Analysis Of Secure Messaging Systems: Peer-To-Peer Vs Client-Server Architecture, Maddie Luth

Theses/Capstones/Creative Projects

This research serves as an honors extension of a capstone project sponsored by Northrop Grumman, focused on the development of a secure messaging application, LockTalk. The study evaluates the performance of peer-to-peer and client-server network architectures within a messaging system. It compares these architectures based on key factors such as security, privacy, and reliability. The results are used to determine the most suitable architecture for implementation in LockTalk, with particular emphasis on protecting sensitive communications. This work highlights the trade-offs involved in selecting a network architecture and provides guidance for developing secure and efficient messaging platforms.


Evaluation Of Radar-Derived Polarimetric Precipitation Estimates For Extreme Rain Events Using A Dense Network Of Rain Gauges, Bong Chul Seo, Witold F. Krajewski, James A. Smith, Alexander V. Ryzhkov May 2026

Evaluation Of Radar-Derived Polarimetric Precipitation Estimates For Extreme Rain Events Using A Dense Network Of Rain Gauges, Bong Chul Seo, Witold F. Krajewski, James A. Smith, Alexander V. Ryzhkov

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The study evaluates radar-based quantitative precipitation estimations (QPEs) for 10 extreme rain events that occurred between 2013 and 2019 in the Kansas City metropolitan area, United States. These precipitation estimates were derived at hourly and approximately 0.5-km scales using two polarimetric QPE algorithms}one based on specific attenuation (A) and the other on specific differential phase (KDP)} for the study area covered by two overlapping radars in Topeka, Kansas, and Kansas City, Missouri. The polarimetric QPE assessment for extreme rain events was motivated by improved flood forecasting and precipitation frequency analysis. The analysis utilizes ground reference observations from a dense network …


Predicting Personalized Myocardial Fibrosis Response Patterns Using A Mechanistic Signaling Network Model, Jared Noel May 2026

Predicting Personalized Myocardial Fibrosis Response Patterns Using A Mechanistic Signaling Network Model, Jared Noel

Chemical Engineering Undergraduate Honors Theses

Myocardial fibrosis is a key driver of heart failure progression and exhibits substantial patient-to-patient variability, complicating the development of effective personalized therapies. In this study, we present an integrated computational framework that combines a mechanistic signaling network model with patient-specific proteomic data to predict individualized fibrotic responses and therapeutic strategies. Using proteomic measurements from the Framingham Heart Study, we generated personalized baseline states and performed systematic in silico perturbation screens to evaluate candidate drug targets across 132 signaling nodes. Results reveal that while global network response structure is conserved, therapeutic efficacy varies widely between patients in both magnitude and breadth, …


Enhancing The Leaning Control And Braking Sensation Of A Virtual Reality Vespa Simulator, Joseph Boccuzzi, Wesley Bleck, Jacob Hannebaum May 2026

Enhancing The Leaning Control And Braking Sensation Of A Virtual Reality Vespa Simulator, Joseph Boccuzzi, Wesley Bleck, Jacob Hannebaum

Honors Capstones

The 71 North Partnership Studio located in Northern Illinois University’s Founders Memorial Library has developed a prototype Vespa simulator featuring an interactive Virtual Reality (VR) game and reactive elements. A previous Mechanical Engineering Senior Design team developed the system and improvements after its original development were sought after over the course of the current school year. The system consists of a stationary bike that allows the rider to lean left and right, which in turn causes their in-game character to turn left and right accordingly, simulating the effect of riding a Vespa scooter within a VR environment. Improvements were made …


Optimization Of Stamped Tool Geometry Using Regression-Based Cost Models And Structural Constraints, Matthew J. Teague May 2026

Optimization Of Stamped Tool Geometry Using Regression-Based Cost Models And Structural Constraints, Matthew J. Teague

Mechanical Engineering Undergraduate Honors Theses

Stamped steel paint can openers are simple tools but still require sufficient strength for the end user and low material consumption for the manufacturer. The goal of this project is to optimize the stamped design of a paint can opener by reducing material cost while maintaining structural rigidity and device performance. This was achieved in part by simplifying the tool’s geometry so that an equation for the mass could be developed analytically and checked against the simulation’s outputs. First, a 25-run design of experiments was created that varied the shaft length and the endloop diameter. Next, a CAD model for …


Mechatronics Rope-Walker Project, Tudor Constantinescu, Mario Andres Ulloa Avila, Issarakvong Un May 2026

Mechatronics Rope-Walker Project, Tudor Constantinescu, Mario Andres Ulloa Avila, Issarakvong Un

Mechatronics Final Projects

Design Summary

The rope-walker robot is a mechatronic system that mechanically moves along a hanging rope. When hung onto the rope, it moves forward until it senses an obstacle in front of it (in this case a monkey placard at the end of the rope). The robot uses its arms to progress through the rope, while sensors detect when it is placed on the rope (so it begins moving along the rope), and when it encounters an obstacle in front of it (so it stops moving). An LCD display attached to the robot shows whether the robot is on the …


Climbing Robot Design, Cali Good, Dawson Durr, Matthew Miller May 2026

Climbing Robot Design, Cali Good, Dawson Durr, Matthew Miller

Mechatronics Final Projects

Design Summary

Our device, shown in Figure 1, is an autonomous rope-walking robot designed to travel across a suspended climbing rope. The robot waits until it is hanging from the rope, moves forward using a walking arm mechanism, and stops when it approaches the marker at the end of the course. The system is fully self-contained, with onboard batteries, sensors, controls, and mechanical components housed inside a laser cut acrylic body. The robot moves using pairs of rotating arms located on both sides of the body. These arms hook around and push against the rope, creating a repeated walking motion …


Design And Verification Of The Multi-Slit Solar Explorer Camera Field Programmable Gate Arrays, Jordan M. Johnson May 2026

Design And Verification Of The Multi-Slit Solar Explorer Camera Field Programmable Gate Arrays, Jordan M. Johnson

All Graduate Reports and Creative Projects, Fall 2023 to Present

The Multi-Slit Solar Explorer, or MUSE, is a NASA mission that will take images of the Sun to study solar flares and the solar corona. The mission will provide insight into the mechanisms behind space weather. The mission consists of two cameras: the Spectrograph (SG), and the Context Imager (CI). The Utah State University Space Dynamics Laboratory is providing both cameras for the mission.

This report describes a part of the design and verification process for a central component on these cameras known as the Field Programmable Gate Arrays (FPGAs). These FPGAs are programmed to acquire, handle, and send images …


Spectral Characterization Of Colorectal Cancer Using Excitation-Scanning Hyperspectral Imaging, Natalie Hadad May 2026

Spectral Characterization Of Colorectal Cancer Using Excitation-Scanning Hyperspectral Imaging, Natalie Hadad

Honors Theses

Colorectal cancer is one of the most common and deadly cancers worldwide, with a lifetime risk of approximately one in twenty-three for men and one in twenty-five for women. Although early detection significantly improves survival, current diagnostic approaches such as tissue biopsy are invasive, reliant on subjective interpretation, have extended turnaround times, and risk missing flat or depressed lesions that are more difficult to detect than raised polyps. These limitations highlight the need for objective, minimally invasive technologies capable of detecting early tissue changes. This study investigates excitation-scanning hyperspectral imaging (Ex-HSI) as a label-free optical approach for identifying colorectal cancer–associated …


Assessment Of Lake Water Quality Parameters Using Uav Hyperspectral Imaging, Hasanul Banna, Taufiqa Tajnin May 2026

Assessment Of Lake Water Quality Parameters Using Uav Hyperspectral Imaging, Hasanul Banna, Taufiqa Tajnin

Publications and Research

Monitoring water quality in lakes is critical for assessing ecosystem health, managing drinking water resources, and detecting harmful algal blooms. Unmanned Aerial Vehicle (UAV)–based hyperspectral imaging provides a promising approach for high-resolution observation of water quality parameters. In this undergraduate research project, hyperspectral imagery collected over sample lakes within the Delaware River Watershed was processed using BaySpec’s CubeStitcher software to assess its capability to detect variations in chlorophyll-a (Chl-a) concentrations. This work was conducted as part of a National Fish and Wildlife Foundation (NFWF)-funded project in collaboration with Princeton Hydro and NYC College of New York. Hyperspectral image cubes were …