Our Story
SpacEarth is a group of experts with a standing experience in strategic sectors, specifically Aerospace, Environment, Maritime.
We design and develop applications, tools, software, hardware components and products for strategic sectors, in cooperation with the major European and Italian industries, organizations, universities and research centres.
SpacEarth has also completed studies and projects for innovative services, funded by the European Space Agency (ESA).
Enterprise
SpacEarth Technology (SET) was founded on 2014 in Italy, as a spin-off company of a leading research institution in Italy, The National Institute of Geophysics and Volcanology (INGV).
From the very beginning, SET provides a scientifically grounded consulting service a team of engineers, physicists and geologists, in cooperation with major European and Italian public and private organizations, universities and research centers. SET has a long standing experience in tailored services and customize products for strategic sectors, including Aerospace, Environment, Maritime.
SpacEarth Technology designs and develops applications, products and solutions for geomorphological, structural and lithologic investigations, using optical and radar remote sensing data, from satellite and airborne (manned and unmanned) platforms.
Narwhals
NARWHALS aims to realise a service capable of providing high accuracy positioning by monitoring and mitigating the ionospheric impact on GNSS navigation in arctic sea.
In the Arctic area systems of based augmentation like EGNOS, WAAS and SBAS are not accurate for GEO satellite low angle of visibility and ionospheric disturbance. NARWHALS solution will aim at enhancing the positioning accuracy integrating low power systems able to handle, forecast and interpret ionospheric data useful to mitigate the effect of the ionosphere on high accuracy positioning systems.
The idea behind NARWHALS is to provide information useful for the mitigation of ionospheric effects to GNSS service providers operating in Arctic region. This information, consisting in different parameters about the level of ionospheric disruption on the signal coming from each GNSS satellite, will be included in the correction messages sent to the final users.
More information on Narwhals web page on ESA
SpacEarth NAV
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ARISTIDE
Artificial Intelligence based Forecasting of large-scale Travelling Ionospheric Disturbance over Europe - Avviso pubblico Riposizionamento Competitivo Ambito Programma regionale FESR Lazio 2021-2027
Lo scopo di questo progetto è la realizzazione di una piattaforma di Continuous Intelligence basata su modelli di Machine Learning per la previsione di LSTID con alcune ore di anticipo, attraverso l’analisi e interpretazione di un’ampia gamma di osservazioni geomagnetiche della corona solare, del mezzo interplanetario, della magnetosfera, della ionosfera e dell’atmosfera.
In particolare, la piattaforma fornirà uno strumento di monitoraggio real-time, che sfruttando le capacità predittive dei modelli di Machine Learning, attuerà un servizio di Early Warning. Inoltre, i modelli di previsione saranno costruiti utilizzando l’informazione catturata da un ampio ed eterogeneo insieme di segnali dipendenti dal tempo (es. serie storiche) provenienti da varie regioni del geospazio e utilizzando come label di training le serie di dati delle LSTID relative al settore europeo, a disposizione dei partner (es. INGV) grazie alla precedente esperienza maturata in progetti dedicati al rilevamento di LSTID. Questi dati forniscono una solida ed affidabile base su cui costruire modelli robusti e accurati di Machine Learning supervisionato.
FAIR project
FAIR project has the goal to develop a demonstrator of an end to end service enabling the mitigation in real time of ionospheric error, including scintillation at low latitude, and multipath. The demonstrator will be extensively validated and demonstrated in precision agriculture application in Brazil.
The need to be met falls within the field of autonomous navigation of agricultural vehicles with high accuracy. Such systems, based on GNSS, provide for 24-hour navigation in areas where crops are grown over very large areas. Just GNSS technology, in areas close to the equator, is affected by significant ionospheric interference for a few hours a day, such that autonomous navigation is unusable for about 30 percent of the entire day. This limitation evidently results in reduced efficiency.
