Design and implementation of Tip &Cue Architectures with Satellite and HAPS

Operational scenarios such as Tip&Cue are gaining significant attention in modern technology, aiming to improve process efficiency and continue advancing technological evolution. In this context, High- Altitude Pseudo-Satellites (HAPS) have emerged, offering a transformative approach to traditional satellite station-keeping by providing platforms closer to Earth with reduced deployment costs. This thesis focuses on the development and implementation of a multi-platform cross-cueing system that leverages the capabilities of both satellite and HAPS platforms. The system integrates the various actors within the cross-cueing scenario, defining their roles and corresponding functions, as well as the necessary software implementations. The work is conducted within the framework of the Cross-Flight project led by Stratobotic, which proposes automatic coordination between satellite platforms, stratospheric platforms, or a combination of both. From the satellite observation side, the thesis will present the satellite imagery services offered by EUMETSAT, detailing which specific data and services will be utilized for the thesis work. For the mission control segment, the analysis methodologies for satellite imagery will be discussed, as well as the mission planning for the HAPS platforms. A key focus will be on how the HAPS platforms execute their missions, including the different operational modes they can employ to carry out specific tasks. Additionally, a chapter will be dedicated to the communication protocols between the different actors in the cross-cueing scenario. This will explore how the various platforms coordinate and exchange information. The presented use case revolves around clouds observation, aligning with the current drive to enhance meteorological forecasting models to better address the increasing intensity of atmospheric phenomena. The data used during the thesis work and virtual testing phase were derived from flights conducted by the platform developed by Stratobotic. This research demonstrates how cross-cueing can optimize environmental monitoring and forecasting, offering valuable insights into future advancements in atmospheric observation technologies.