Supporting weather forecast with crowdsourced GNSS data. Please register for the Final Presentation of NAVISP EL1-038 bis "CAMALIOT: Application of Machine Learning Technology for GNSS IoT Data Fusion" project

GNSS infrastructure has been growing significantly in recent years, in the space segment as well as on ground. Millions of Internet-of-things (IoT) devices, including smartphones, use GNSS for positioning. Due to the large number of devices, IoT data offer great potential for GNSS science exploitations, with unprecedented spatio-temporal resolution. However, access to IoT data for scientific purposes is currently limited and the data processing challenging. 

To address these challenges, ESA has launched two parallel contracts. In this final presentation, an overall description of the CAMALIOT project carried out with ETH Zurich, Switzerland, and the International Institute for Applied Systems Analysis (IIASA), Austria, will be given. The other project will be presented at this event.

In this project, an Android app was developed for the collection of raw GNSS data from smartphones. A crowdsourcing campaign was launched, based on the concept of citizen science. In the course of the project, more than 12,000 users from all over the world provided raw GNSS data. In order to cope with the large amounts of GNSS data of heterogeneous quality, new processing methods were developed based on machine learning algorithms. Two scientific use cases were studied, the first focusing on the determination of tropospheric parameters to support weather forecasts on Earth, and the second one concerning the monitoring of space weather, important for satellite operations and communication. The findings of CAMALIOT, among the others, will extend the capabilities of the GNSS Science Support Centre (GSSC) by ESA, which offers GNSS data and processing services for various domains. 

EL1-038 bis "CAMALIOT: Application of Machine Learning Technology for GNSS IoT Data Fusion" was funded by NAVISP Element 1, which is dedicated to technology innovation of the European industry in the wide PNT sector.

Please follow the links to the Agenda and to the event registration.