Agile Earth Observation Satellite simulation studies
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Project and Master Subjects 2024-2025
- Improving Images for Climate Action
- Every Variable Everywhere All at Once
- Protecting Water Resources through Machine Learning and Hyperspectral Imaging in Remote Sensing CubeSats
- More Effective Earth Observation for Climate Action Through Learned Data Compression in CubeSats
- Mitigating Camera Artifacts in HYPSO Data for Improved Climate Monitoring
- Characterization of High-resolution Spectral Imager
- A Foundational Unmixing Model for the HYPSO satellites
- Hyper/Multispectral image fusion with HYPSO-2
- Game theory applied to energy optimal satellite attitude control
- Mu-analysis for agile satellite attitude control maneuvers
- Randomized optimization applied to super-agile satellite operations
- Modelling super-agile satellite operations for optimization
- Enabling high-accuracy HYPSO image georeferencing by high-accuracy satellite pose estimation through postprocessing of satelitte sensor data
- High-accuracy attitude determination of Earth observation satellites
- Agile Earth Observation Satellite simulation studies
- Multi-angle image analysis and what we can learn about the atmosphere
- GNSS-R: Simulator design of a GNSS-Reflectometry small satellite
- GNSS-R: GNSS jamming and spoofing source localization from a small satellite
- GNSS-R: Maritime Surveillance using GNSS-Reflectometry
- Past Projects
Agile Earth Observation Satellite simulation studies
Background
Earth Observation Satellites (EOSs) equipped with sensors that have a small field of view need active pointing to observe targets of interest. Agile EOS are EOS that possess fast and flexible pointing capabilities. As the number of ways that an EOS can turn and point, and the number of potential targets of interest increases, the scheduling of imaging of the targets becomes a complex problem to solve.
Impact
Space technology plays a crucial role in achieving various Sustainable Development Goals set by the UN. The NTNU SmallSat Lab's HYPSO satellites, HYPSO-1 launched in 2022 and with a successor planned for summer 2024, utilize hyperspectral imagers to capture detailed information beyond the visible. This data allows us to detect and monitor water bodies like oceans, fjords, and lakes, including vital yet potentially harmful algae. The HYPSO satellites also contribute to climate change studies by imaging the Arctic region. Ultimately, HYPSO aims to play a role in achieving Climate Action, Preserving Life Below Water, and ensure access to Clean Water and Sanitation. This project will improve the way we collect data with the HYPSO satellites.
Project Focus
The aim of this project is to develop tools and generate insight into the imaging scheduling of Agile EOS systems. The candidate will answer questions like how to optimally cover the most interesting targets while considering the operational constraints of one or more EOS. NTNU's HYPSO-1 and HYPSO-2 satellites can be used as a case study for applying the imaging scheduling algorithm developed during this project work.
Tasks and Expected Outcomes
The candidate will learn about orbital prediction tools, how typical agile and non-agile EOS work, and review literature about Agile EOS imaging scheduling algorithms. As the project progresses, the candidate can define their own tasks and goals, which may include implementing one or more imaging scheduling algorithm and apply them for use on the HYPSO satellites. The work will most likely be carried out using python. Further, the candidate could compare the new scheduling methods with the previously used methods for HYPSO-1 and quantify the improvement, which would be a particular interesting result for the thesis.
Who We Are Looking For
We are seeking a highly motivated final year student in Cybernetics, Electronics, or a related field with an interest in satellite geometry (orbits, reference frames etc.), programming, and telling a satellite what to do. Previous experience is not mandatory. The project will be adapted to the student's background and goals.
How we work
At the NTNU SmallSat Lab we encourage collaboration and try to get our group to help each other. To facilitate this, we encourage the students to meet us in the lab as well as arrange common lunches and workshops where the students and supervisors can learn from each other.
For further information, please contact the following.
Dennis D. Langer - https://www.ntnu.no/ansatte/dennis.d.langer
Sivert Bakken - https://www.ntnu.no/ansatte/sivert.bakken