1. Developing a Velocity Field Visualization Environment for GNSS Observations: A Digital Navigation Project.

 

ESA supervisor: Vicente Navarro
Collaborator(s): Jordi Prados

Site: ESAC

Are you passionate about cutting-edge technologies and eager to contribute to geohazard monitoring using state-of-the-art GNSS data? Join our exciting trainee project at the GNSS Science Support Centre (GSSC) and be part of a transformative initiative that enhances the accessibility of up-to-date GNSS observations for critical geohazard services.

What is the project use case, goal and impact? The primary objective of this trainee project is to integrate GSSC Now's repository with other Navigation repositories to ensure timely availability of high-quality GNSS observations (RINEX data) from a relatively dense network. The goal is to create a dataset aligned with the global coverage of Earth Observation (EO)-based Geohazard services. The velocity field, a critical product derived from the integrated dataset, could play a pivotal role in supporting Earth Observation Platforms (EOP) with comprehensive monitoring and estimation of terrain deformations. Geohazard professionals, scientists, and decision-makers will rely on this essential information for assessing geological risks, ensuring public safety, and making informed infrastructure-related decisions.

How would you achieve it? You will work closely with our experienced team to establish seamless integration between GSSC Now and other Navigation repositories, optimizing data retrieval processes for real-time updates. By harmonizing the GNSS observations, the resulting dataset will support the development of a powerful visualization environment within GSSC Now. This environment will enable the generation of the velocity field of a given station network over a provided time series.

Project duration: 6 months.

Desirable expertise or programming language:

We are looking for a proactive trainee with a background in space science data processing, global navigation satellite systems,  geodesy, remote sensing  or a related field. Proficiency in programming languages such as Python, experience in data integration, and a strong interest in geohazard monitoring and digital platforms are highly desirable.

 

To apply for this project please fill in an online application form through the following link.