Integrating the HYPSO constellation with the Copernicus Suite
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Project and Master Subjects 2025-2026
- Super-agile operation of small satellites
- Early warning fault detection for satellite operations based on telemetry
- Semi-controlled re-entry for a satellite using attitude control
- System identification of environmental effects for a satellite during re-entry
- Mu-analysis for agile satellite attitude control maneuvers
- 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
- Starlink: Signals of Opportunity positioning, navigation and timing (PNT)
- GNSS-R: Simulator design of a GNSS-Reflectometry simulator
- GNSS-R: Payload and embedded SW design
- GNSS-R: GNSS jamming and spoofing source localization from space
- GNSS-R: Formation flying of small satellites
- GNSS-R: Novel ship-detection methods for GNSS-Reflectometry
- Automatic Satellite Telemetry Anomaly Detection and Trend Analysis
- Which works better, explainable AI or black-box AI?
- Integrating the HYPSO constellation with the Copernicus Suite
- Explainable AI on a GPU
- What can the HYPSO-3 Hyperperspectral Cameras Observe?
- Could a short-wave infrared hyperspectral imager characterize oil spills?
- Coordinated Planning between a satellite constellation and a Autonomous Surface Vehicle
- Calibration of Hyperspectral camera point-spread function
- Past Projects
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Integrating the HYPSO constellation with the Copernicus Suite (F25/S26)
Project Description
The satellite HYPSO-2, launched in August 2024, is operated by the SmallSat Lab. Small satellite can be seen as complementary platforms to biggest satellites, such as those managed by ESA or NASA. The student will investigate how small satellite can be used in synergy to complement and enrich data coming from bigger platforms. The student will explore agile mission planning for HYPSO-2 applied to satellite cooperation and multi-observation in near real time.
Tasks
Literature review on Cubesat-large platforms mission planning integration Analyse a use-case, and propose a possible integration
Supervisor(s)
This project would be advised by Joe Garrett and co-advised by PhD student Corrado Chiatante