Digital Commons Network^™

Closed-Loop Satellite Planning And Scheduling For Low-Latency Data Collection And Analysis With A Conversational Agent Interface, Neil Dhingra, Sean Kearns, Nathan Evans, Ella Herz, Armin Rezaiyan-Nojani

Small Satellite Conference

We demonstrate a closed-loop geospatial intelligence (GEOINT) Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED) pipeline that provides data and data analyses using commercial satellite imagery. The Cloudbased Automated Satellite Tactical TCPED (CASTT) software platform obtains data through automated interfaces with satellite operators, performs analyses of that data which drive automated re-tasking by Auria’s optimized collection planning software, and then issues those new follow-up tasks to the satellite operators. Automation shortens the timeline from the receipt of data that warrants follow-up data to its actual collection and delivery. CASTT leverages progress across the space industry to providing an integrated solution drawing …

Revolutionizing Space Thermal Control: The Breakthroughs And Applications Of Pulsating Heat Pipes, Matt Schultz, Jimmy Hughes, Mckenzie Sandberg

Small Satellite Conference

The development of Pulsating Heat Pipes (PHP) offers significant advancements in thermal control technologies. This poster reviews the fundamental mechanisms of PHPs, manufacturing processes, and focuses on how PHPs fit into the current thermal architecture for satellite, payload, and instrument thermal control to identify the best use cases and application of the emerging technology.

Big Data Solutions For Cubesat Mission Operations: A Case Study From The Michigan Exploration Lab, Daniil Voloshin, James W. Cutler

Small Satellite Conference

As space missions generate increasingly vast and complex datasets, efficient data management and processing solutions are critical. At the Michigan eXploration Lab (MXL) at the University of Michigan, where we design, build, and operate CubeSats, we have adopted big data technologies, specifically a Hadoop and Spark-based cluster, to address challenges in handling and analyzing large-scale data. These challenges include processing raw I/Q sample recordings from CubeSat satellite passes and suborbital missions, as well as mission-long spacecraft telemetry. The cluster leverages the distributed storage capabilities of the Hadoop Distributed File System (HDFS) and the in-memory data processing power of Apache Spark, …

Exploring Beamed Energy Propulsion: Development And Application Of A Configurable Simulation Tool, Charles Cundiff, Michael Harrington, Victoria Coverstone, John Larosa

Small Satellite Conference

Laser sailing enables propellantless spacecraft propulsion by transferring momentum from a directed energy beam to a reflective sail. Unlike traditional chemical or electric propulsion systems, laser sails decouple propulsion performance from onboard mass and stored energy, presenting an opportunity for lightweight, scalable spacecraft maneuvering. This work develops and applies a simulation framework in FreeFlyer to evaluate the performance of laser sailing across a range of orbital missions, with emphasis on low-mass systems, such as CubeSats.

The simulation model incorporates several critical physical effects, including beam divergence, atmospheric attenuation, sail material reflectivity and emissivity, thermal loading, and realistic station visibility. The …

Mosaic - A Modular Orbital Satellite For Advanced Innovation And Curriculum, Evan Jellison

Small Satellite Conference

This paper presents MOSAIC (Modular Orbital Satellite for Advanced Innovation and Curriculum), an open-source, modular satellite platform designed to advance space technology education and to accelerate satellite mission design. MOSAIC is a demonstrator satellite, or “mocksat” that leverages commercial off-the-shelf (COTS) components and a modular hardware ecosystem to make satellite technology accessible, affordable, and adaptable for educational institutions and research teams. This work details the technical architecture of MOSAIC, its potential educational benefits, cost analysis, and open-source philosophy, demonstrating its goals to democratize access to satellite engineering and foster the next generation of space professionals.

Real-Time Space Weather Event Detection And Attribution Using Fpga-Based Machine Learning On Cubesats, Benjamin Lewis, Shawn Jones, Jonathan Phillips, Charles Swenson, Kade Howes

Small Satellite Conference

Utah State University has been developing hardware accelerators and machine learning algorithms for real-time detection and attribution of space weather events on small satellites. This research, funded under the Low-power Array for CubeSat Edge Computing Architecture, Algorithms, and Applications (LACE-C3A), is a NASA STMD-funded effort as part of the University Smallsat Technology Partnerships (USTP). In this paper, we present an FPGA implementation of an AI/ML algorithm for intelligent decision-making, enabling real-time space weather monitoring and now-casting of Equatorial Plasma Bubbles (EPBs). EPBs are low-density plasma structures that form at low latitudes within the Earth’s ionosphere, rising along magnetic field lines …

Near Real-Time Optimal Trajectory Design For Active Debris Removal With Verification And Validation Using Kompsat-1, Shawn Choi, Taeyeon Choe, Peter Ryu, Hyeongjun Park, Douglas Deok-Soo Kim

Small Satellite Conference

Geospace is getting busier with an increasing amount of debris, and their removal of such debris is becoming important for the safety, efficiency, and sustainability of geospace. The need for safe and sustainable removal has drawn significant attention to Active Debris Removal (ADR). When a chaser performs a fly-around maneuver to approach a target, it should solve the following optimization problem (OPT): (i) Minimize collision risk against other flying space objects, (ii) minimize fuel consumption, and (iii) maximize mission accomplishment. However, solving OPT is known to be very challenging, as it is at least NP-hard. This is because the trajectories …

Predicting Tle Covariance Using Transformer-Based Time Series Forecasting, Thijs Verhaeghe, Bart De Clerk, Ben Lauwens, Tjorven Delabie, Dirk Vandepitte, Bart Vandenbussche

Small Satellite Conference

This paper introduces the notion of using a transformer-inspired time series forecasting model, more specifically IBM’s Tiny Time Mixer (TTM), to predict the covariance of Two-Line Elements (TLEs). The pre-trained compact univariate model is finetuned on a dataset of historical TLEs. Using the well established technique of pairwise differencing, a fixed-interval time series of TLE covariances is generated. This series is merged with exogenous variables extracted from the TLEs themselves, such as the classical orbital elements. The multi-level modeling capabilities of the TTM allow it to capture inter-channel correlations, crucial to capture the complex interactions inherent in the prediction of …

A Radio Payload For In-Space Sub-Terahertz Communications, Andrew Benincasa, Sergi Aliaga, Albert Diez-Comas, Josep Miquel Jornet

Small Satellite Conference

This paper presents the first fully integrated design of a CubeSat-compatible sub-terahertz (sub-THz) radio payload for in-space communications at 225 GHz. Addressing the growing congestion in traditional RF bands and the limitations of Free Space Optical systems, the proposed system leverages recent breakthroughs in compact high-frequency front-ends, horn antenna arrays, and RFSoC-based digital processing to unlock multi-GHz bandwidths in the underutilized sub-THz spectrum. A detailed feasibility study confirms link closure from low Earth orbit using state-of-the-art components, and the payload’s architecture is engineered for real-time high-speed uplink/downlink under stringent CubeSat size, weight, and power (SWaP) constraints. The proposed payload will …

Larkspur Cut Flower Production In Utah, Nick Volesky, Melanie Stock

All Current Publications

Larkspur is an annual crop that provides vertical structure, height, and balance to floral arrangements. Stems also dry well, making them ideal for dried floral designs and other products. Paired with low input costs compared to many other flowers, larkspur is a competitive local crop for small farms. Utah State University (USU) trialed three colors for each Cannes, Fancy, and QIS^TM series (C. ajacis) in 2023 and 2024. This fact sheet covers site preparation, direct sowing and plant density, nutrient management, irrigation, pests and disease, harvest and storage, and economics.

Successful Demonstrations Of The Elroi Satellite License Plate, David M. Palmer, Rebecca M. Holmes Sandoval

Small Satellite Conference

ELROI (Extremely Low Resource Optical Identifier) is a system that attaches a small, cheap, low power, autonomous blinking light to a satellite or other space object to allow it to be unambiguously identified by ground observations using a small telescope. This can provide a resolution to the space object identification problem for future launches at minimal technical and financial costs to the satellite operator. In 2024, two satellites carrying ELROI Space Object Tracking Units were successfully launched on separate rocket launches. As reported here, in both cases ELROI provided the first definitive identification of each satellite, sooner than achieved by …

Vision-Based Dynamic Tasking For Earth-Observing Satellite Constellations, Shreeyam Kacker, Kerri Cahoy, Kiruthika Devaraj, Işıl Demir, Steve Chien

Small Satellite Conference

Unpredictable phenomena such as cloud coverage pose a challenge for conventional Earth observation. Long lead times can cause conditions to change between forecasting, scheduling, and image capture, leading to suboptimal observations. To combat this, dynamic tasking has been proposed as a mission concept, where perception and autonomy are moved onboard the spacecraft in order to quickly respond to changes in the spacecraft’s imaging schedule, leveraging the compute power available in modern Earth-observing spacecraft. In this work, we explore the use of a wide field-of-view body-fixed lookahead sensor, separate from the main imaging payload, to evaluate the real-time utility of upcoming …

Scope-1: On-Orbit Surface Feature-Based Navigation And Timing Mission Overview, Paula Delfin, Lance Lui, Margaret Lambert, Dominic Nguyen, Meenakshi Kalinathabotla, Dylan Mcintyre, Maximilian Roccioli, Riley Vazquez, Yan Zhe Wong, Yulia Meza, Brandon Jones, Renato Zanetti

Small Satellite Conference

The SpaceCraft for Optical-based Position Estimation-1 (SCOPE-1) is a 3U CubeSat developed by the Texas Spacecraft Laboratory (TSL) at The University of Texas at Austin to demonstrate near real-time Position, Navigation, and Timing (PNT) estimation primarily using optical detections of Earth’s islands and archipelagos. The mission adapts algorithms originally developed for lunar crater-based PNT and applies them to terrestrial features for validation in low Earth orbit (LEO). SCOPE-1 features an onboard system combining Mask R-CNN-based surface-feature detection, catalog-based feature identification, and an extended Kalman filter (EKF) to estimate position and timing in near real-time. The SCOPE-1 spacecraft will be built …

Lightsheet Anomaly Resolution And Debris Observation (Larado), Andrew Nicholas, Kenneth Marr, Josh Wolf, Charles Brown, Vanessa Kooi, Ted Finne, Scott Budzien, Cosimos Cendo, Ivan Galysh

Small Satellite Conference

Space objects in the size range of 0.1 mm to 3 cm are not currently trackable but have enough kinetic energy for lethal consequences to spacecraft. Small orbital debris poses a risk to most space missions; the detection of this debris requires a combination of a large sensor area and large time coverage. For example, a sensor with a time area product of 3 m²years can make a significant contribution to our understanding of the near-Earth small debris population. Deploying large sensors like physical witness plates is resource intensive, due to their size and weight. The light sheet …

In-Orbit Commissioning Results Of The Esa Φsat-2 Mission, Nicola Melega, Agnė Paškevičiūtė-Kidron, Nicolas Longepe, Mirko Albani, Louis Dadswell, George Hine, Jacob Bullard, Alessandro Marin

Small Satellite Conference

The commissioning of the ESA Φsat-2 mission marks a significant milestone in the advancement of Earth observation technologies, particularly in the realm of artificial intelligence (AI) and edge computing. Launched on August 16, 2024, aboard the SpaceX Transporter 11 rideshare flight, the Φsat-2 mission aims to demonstrate the feasibility of running an entire data processing chain onboard, from Level 0 to Level 2, showcasing the latest advancements in edge computing and AI. The mission began with the successful separation of the Φsat-2 spacecraft from the launcher, followed by the establishment of communication 90 minutes post-launch over the Troll ground station. …

Reaching Full Operating Capability With The Tomorrow.Io Weather Constellation, Scott Williams, Emma Watson, Jan Wicha, Joe Munchak

Small Satellite Conference

The Tomorrow.io weather constellation leverages advances in small satellite technology and the emergence of affordable rideshare options to provide timely, global weather measurements using a constellation of precipitation radars and passive microwave sounders. The focus of this paper is on the design and deployment of Tomorrow.io’s CubeSats carrying passive microwave radiometers known as Tomorrow.io Microwave Sounders (TMS). The TMS instrument design is based on technology transitioned from the MIT Lincoln Laboratory (MIT LL) with technology insertions to improve performance. TMS will achieve full operating capability (FOC) with 12 satellites in a hybrid mix of sun synchronous and mid inclination orbits. …

Finch Eye: The Optical And Optomechanical Design Of A Grism-Based Swir Hyperspectral Imaging Payload For A 3u Cubesat, Iliya Shofman, Mario Ghio Neto, Theaswanth Ganesh, Kenya He, Aidan Armstrong, Ksenya Narkevich

Small Satellite Conference

Crop residue is an important metric used for agricultural land-use monitoring and climate science research. Estimating crop residue coverage is essential to sustainable agricultural practices. There already exist scientific hyperspectral satellites, such as PRISMA and EnMAP, that can be used for crop residue estimation; however, they are very expensive to build and cannot be monopolized by individual farms. This leaves a gap in satellite remote sensing solutions which can be deployed operationally and at the farm scale. We seek to fill this gap by developing a low-cost satellite solution for crop residue estimation. The University of Toronto Aerospace Team is …

Extremely Low-Cost Optical Receiver For Extremely Low Resource Optical Identifiers, Ashin Alex, Joseph Ashby, Kevin Walker, Brennan Chai, Catherine Qualtrough, John E. Cater, Nicholas J. Rattenbury

Small Satellite Conference

Space object identification (SOI) is essential for space traffic management, situational awareness, and mission operations. The Extremely Low Resource Optical Identifier (ELROI), developed by Los Alamos National Laboratory, provides a persistent and interference-free identification method for small satellites through a self-powered optical beacon. ELROI transmits a unique identification code via low-power laser pulses, enabling ground stations to identify spaceborne assets without relying on traditional radio beacons. However, the efficacy of the ELROI system relies on the widespread availability of highly sensitive and cost-effective ground-based optical receivers. To address this need, we are developing a low-cost optical receiver capable of detecting …

Satellite Navigation With Earth Islands For Scope-1, S. Anand Agrawal, Brandon A. Jones

Small Satellite Conference

Spacecraft optical navigation can deliver autonomous navigation onboard when Earth-based tracking is saturated, obstructed, or impractical. Optical navigation relies on the correspondences between detected and known or mapped features in imagery to extract position and/or velocity, and data-driven methods, which directly leverage collected data to learn, can improve detection performance. This paper presents an initial data-driven Earth-based detection system using islands as landmarks for the SpaceCraft for Optical- based Position Estimation-1 (SCOPE-1) 3U CubeSat, which will be paired on board with a physics-based estimation framework. The system consists of an island detector trained on Earth observation imagery of islands, an …

Simulation-Based Evaluation Of Dual-Mode Propulsion Strategies For Small Satellite Collision Avoidance, Michael Harrigan, Charles Cundiff, Joshua L. Rovey, Victoria Coverstone

Small Satellite Conference

As Low Earth Orbit (LEO) becomes increasingly congested, small satellite missions face growing challenges in executing effective collision avoidance maneuvers under limited time and propellant constraints. Dual-mode propulsion systems, combining high-thrust chemical and high-specific impulse electric modes, offer a promising approach to balance rapid response with propellant conservation. This paper evaluates how such systems can be applied to reduce the Probability of Collision (PC) within constrained maneuver windows using sequential chemical-electric burns.

A FreeFlyer-based simulation framework models dual-mode collision avoidance maneuvers across synthetic LEO scenarios. For each case, user-defined mission parameters, such as lead time, PC threshold, and orbital altitude, …

The University Of South Carolina's Journey To The Launchpad, Patrick Bailey, Wout De Backer

Small Satellite Conference

A student team at the University of South Carolina is currently working to address the state’s needs for astronautics to both students and to the economy through collaborative efforts with other state institutions. This paper intends to cover the mission concept formulation, areas of beneficial technology development in space, and mission objectives that are to be accomplished for both human and technical capabilities within the state throughout the mission duration. The mission concept covers using 3D printing in space for on-orbit manufacturing capabilities, and the need for development of a computer vision algorithm and system for small space debris detection. …

Demonstration Of X-Ray Pulsar-Based Navigation With The Cubesat Astronomical Observatory Ninjasat, N. Ota, T. Takahashi, T. Tamagawa, T. Enoto, T. Kitaguchi, Y. Kato, T. Mihara, W. Iwakiri, M. Numazawa, T. Takeda, H. Takahashi, Y. Zhou, K. Uchiyama, Y. Yoshida, N. Ota, S. Hayashi, S. Watanabe, A. Jujo, A. Aoyama, S. Iwata, K. Yamasaki, H. Sato, C. Hu, H. Odaka, T. Tamba, K. Taniguchi

Small Satellite Conference

This study examines the feasibility of X-ray pulsar navigation with the CubeSat. We developed NinjaSat equipped with gas X-ray detectors sensitive to 2–50 keV with effective area of 16 cm² at 6 keV. We estimate position and velocity of NinjaSat from Crab pulsar observation data by orbital estimation method based on “Significance Enhancement of Pulse-profile with Orbit-dynamics”. As a result, the estimated position accuracy was within 59 km.

Toward Trusted Onboard Ai: Advancing Small Satellite Operations Using Reinforcement Learning, Cannon Whitney, Joseph Melville

Small Satellite Conference

A Reinforcement Learning (RL) algorithm was developed for command automation onboard a 3U CubeSat. This effort focused on the implementation of macro Control Action Reinforcement Learning (CARL), a technique in which an onboard agent is provided with compiled information based on live telemetry as its observation. The agent uses this information to produce high-level actions, such as adjusting attitude to solar pointing, which are then translated into control algorithms and executed through lower-level instructions. Once trust in the onboard agent is established, real-time environmental information can be leveraged for faster response times and reduced reliance on ground control. The approach …

Code Reuse In Cubesat Projects: Analyzing The Adoption Of Open-Source Software From The Birds Program, Husseinat Etti-Balogun, Victor Schulz, Mengu Cho

Small Satellite Conference

Code reuse is a fundamental principle in software engineering, streamlining development processes and reducing costs. In the context of CubeSat development, open-source software frameworks, such as the Open-Source BIRDS CubeSat (OSBC) software, have the potential to enhance collaboration and accelerate mission deployment. However, the ex- tent to which CubeSat teams adopt and adapt these existing software solutions remains underexplored.

This study examines six CubeSat missions derived from the BIRDS satellite bus, assessing their software development strategies and the degree of code reuse from OSBC. By analyzing project documentation, source code repositories, and developer interviews, we investigate key factors influencing software …

Detumbling Analysis And Attitude Stabilization Of Spicesat: A Closed-Loop Control Verification Framework, Spencer Talish, Francesca Fusco

Small Satellite Conference

This study investigates the detumbling capabilities of SPICEsat following an initial angular disturbance imparted by the deployer. SPICEsat, which stands for Sloshing Platform for In Orbit Controller Experimentation, is a 6U CubeSat developed by Rutgers University to investigate the effects of fuel sloshing on spacecraft stability and control. Top level, this research’s objective is to confirm SPICEsat's ability to reduce angular momentum, thereby achieving a stabilized post-deployment attitude. This is referred to as detumbling, or the process of reducing a satellite’s rotational rates following deployment. The system-level focus centers on assessing the control authority of the Blue Canyon Technologies (BCT) …

Robot Swarm: A Test Platform For Spacecraft Formations, Colbren Fujimoto, Scott Ginoza, Yosef Ben Gershom

Small Satellite Conference

Satellite swarms are transforming space exploration by enabling cost-effective missions and distributed onboard intelligence. Precise formation control is critical for optimized data collection, collaborative sensing, and collision avoidance. NASA’s Starling mission demonstrates how scalable, autonomous swarms enable satellites to operate as a coordinated network in low Earth orbit [1]. This research project offers a practical, cost-effective platform for testing agile swarm formation control using physical robots, enabling testing and validation of formation control algorithms and evaluating their effectiveness. This project tests Interstel’s iCOSMOS-Swarm, a software platform designed for autonomous coordination of unmanned vehicle swarms. The formation includes four robots to …

Conceptual Design Of A Low Orbit Dust Detector Powder, Matheus De Carvalho Abelha, Felipe Oliveira Tavares, Marco Antonio Ridenti, Luís Eduardo Vergueiro Loures Da Costa

Small Satellite Conference

The Pulse Observation OWing to Dust impact ExpeRiment (POWDER) instrument is a conceptual lunar orbital dust detector designed to measure and analyze dust impacts at a lunar polar orbit. POWDER operates by detecting electric charges generated during dust collisions on a designated collector surface. This study is focused on analyzing the design feasibility for a collecting surface plate, in terms of generated voltage signal from dust impact in comparison to the base ambient noise level. The low amplitude of the voltage signal presents significant challenges, as measuring such a faint signal requires …

Northern Arizona Ecological Conservation: Assessing Quaking Aspen Health In Northern Arizona Using Earth Observations, Ikram Morso, Luke Collins, Margaret Cox, Melissa Schwan

Aspen Bibliography

Quaking aspen (Populus tremuloides) forests in Northern Arizona provide critical habitat for endangered bird species and support regional tourism and recreation. However, aspen populations are declining due to a combination of abiotic and biotic stressors. In response, land managers implemented strategies, such as ungulate exclusion fencing, prescribed burns, and stand thinning, but efforts are constrained by limited data on where and when to intervene. This project worked in collaboration with the U.S. Forest Service, the National Park Service, the Arizona Department of Forestry and Fire Management, and Northern Arizona University School of Forestry. The team utilized Earth observations …

Tremblings, August 2025, Western Aspen Alliance

Tremblings

Small-stand Challenges in the Northern Rockies

Brytten Steed, PhD, USFS Forest Entomologist (retired) Forest Health Protection - Missoula Field Office

Aspen in the Northern Rocky Mountains exist more often as small, scattered patches or “stringers” than the iconic landscapes of aspen found elsewhere. Like early-season fireflies, they dot the landscape where moisture is present, ringing potholes, lining streams, or clinging to topographies rich in subsurface moisture. Their rarity belies their importance to wildlife, livestock, fire movement, and humans. Aspen are preferred browse for large herbivores, a hotspot for birds, and home to a diversity of plants. People, too, gravitate …

Warming Of The Southern Ocean During The Paleocene-Eocene Thermal Maximum: Inferences From Foraminifera At Site U1580, Samina Anee

All Graduate Reports and Creative Projects, Fall 2023 to Present

The Paleocene-Eocene Thermal Maximum (PETM, ~56 million years ago) represents an ancient episode of rapid global warming, offering critical insights into climate dynamics and the Earth's response to increased greenhouse gases. This project aims to quantify the magnitude of warming across the PETM at newly recovered IODP Site U1580 (Agulhas Plateau, Southern Ocean) through the analysis of Mg/Ca and δ¹⁸O ratios of planktic foraminifera. Understanding the extent of warming at Site U1580 is crucial for comprehending past climate variability and improving future climate predictions. Site U1580 is particularly well-suited to foraminiferal geochemistry because of high carbonate content throughout …