Quantum-based Simultaneous Inertial Navigator and vector Gravimeter

Funded by Horizon Europe – European Defence Fund (EDF)

The project Q-SiNG will provide a navigation system demonstrator for GNSS-denied areas.


FIeld QUantum Gravity Sensors

Funded by Horizon Europe

The objective of the FIQUgS project is to develop the latest generation of quantum gravity sensors. These devices are used to determine the absolute value of gravitational acceleration by utilizing the phenomenon of cold atom interferometry. These highly advanced instruments are expected to be further improved in the coming years, through the combination of several technologies, including quantum gravimetry and ground penetrating radar


MultidiSciplinary and MultIscale approach for coupLed processes induced by geo-Energies

Funded by Horizon Europe – Marie Skłodowska-Curie Actions (MSCA)

Ambition: SMILE aims at training a new generation of scientists that become experts in coupled processes occurring in the subsurface as a result of fluid injection/extraction to respond to the increasing demand on geo-energy applications.

GReD activities: 1 Executive PhD student, enrolled at Politecnico di Milano, will be employed by GReD. Project title: “Automated analysis of ground deformation time series”. Objectives: “To develop an automated software tool to analyze the ground deformation time series obtained from Galileo-enabled
low-cost GNSS receivers, also in conjunction with area-wise DInSAR monitoring and with a-priori information from ground modeling.


Transformative Environmental Monitoring to Boost Observations in Africa

Funded by Horizon Europe

Ambition: to close the environmental in situ data gap in Africa. To fulfill this ambition, TEMBO’s general objective is to have cost-effective innovative sensor networks that can be financed by the climate services we develop using these sensors.

GReD activities: conceptualization, design and development of the GNSS-based tools and services for dam deformation monitoring, atmospheric water vapor monitoring, and soil moisture monitoring through GNSS reflectometry.


Meteorological Assimilation from Galileo and Drones for Agriculture

Funded by Horizon Europe / EUSPA

Aim: develop a toolchain for atmosphere monitoring, weather forecasting, and severe weather/irrigation/crop monitoring advisory, with GNSS (including Galileo) at its core, to provide useful information to agricultural operators.

GReD activities: project coordination and management. Conceptualization, design and development of the GNSS-based tools for atmospheric water vapor monitoring and soil moisture monitoring through GNSS reflectometry.


eXperimental jOint inveRsioN project

Funded by ESA

Aim: to study, design and develop a joint 3D inversion of gravity and magnetic fields by means of a probabilistic Bayesian approach and apply it to study the Mediterranean Sea area.

GReD activities: project coordination and management. Conceptualization, design and development of the 3D inversion algorithm and its application for the Mediterranean Sea case study.


HYbrid Positioning Engine Running on 5G and GNSS

Funded by ESA

Aim: to study, design and develop the algorithms and software needed to implement a precise positioning engine to jointly use multi-constellation GNSS and 5G observations.

GReD activities: project coordination and management. Conceptualization, design and development of the GNSS positioning engine (leveraging the PPP-RTK technique) and of the hybrid positioning engine.


Rail Track Assignment Inconsistency Detector

Funded by ÖBB

Aim: to study, design and develop software for the automatic detection of changes in a railway track network, based on position data generated by GNSS receivers onboard the trains.

GReD activities: project management. Conceptualization, design and development of the detection algorithm; development of the operational software to be run at the railway operator’s premises; extensive testing and validation based on real input data.


Application of Machine Learning Technology for GNSS IoT Data Fusion

Funded by ESA

Aim: to study and demonstrate the feasibility of exploiting crowdsourced GNSS Big Data to derive information of interest across different fields of application

GReD activities: Pre-processing and processing of smartphone-derived GNSS raw observations to estimate tropospheric and ionospheric delays. Validation of the use cases selected in the project.


Satellite-borne and IN-situ Observations to Predict The Initiation of Convection for ATM

Funded by H2020

Aim: to improve the mathematical models used in the prediction of extreme weather events, in order to support air traffic management

GReD activities: Processing of nation-scale GNSS raw observations to derive tropospheric delays to be assimilated into numerical weather prediction models; deployment of a cost-effective GNSS station near Malpensa airport to monitor the local variations of atmospheric water vapor


Gravity for lIthosphere Architecture Determination and Analysis

Funded by European Space Agency, Business Applications Space Solutions

Aim: GIADA is GIULIA follow-on. The project exploits gravity field observations, mainly derived from GOCE mission, with others in situ data to build maps of main geological provinces and 3D model of the Earth crust at regional scale. The service results help oil & gas and mining companies in the preliminary exploration activities to identify regions with high potential in terms of natural resources exploitation.

GReD activities: Principal investigator

LAMPO project


Gravity Inversion to Understand LItospheric Architecture

Funded by European Space Agency Value Adding Element

Aim: Development of an innovative service in which GOCE gravity data, in terms of global gravity field model, are exploited to estimate the main features of the Earth crust at a regional scale for the oil&gas “Assets and Prospects” operations

GReD activities: Principal investigator

LAMPO project


Lombardy-based Advanced Meteorological Predictions and Observations

Funded by Fondazione Cariplo

Aim: Development of an innovative nowcasting method for heavy rain, based on water vapor measurements performed by low-cost GNSS stations

GReD activities: Deployment of LAMPO stations north of Milan, near-realtime data processing to derive water vapor information to be delivered to ARPA Lombardia for evaluation

LAMPO project


Transforming Weather Water data into value-added Information services for sustainable Growth in Africa

Funded by H2020

Aim: Enabling satellite-based and ground-based geo-services in Africa

GReD activities: Deployment of low-cost GNSS stations in sub-Saharan Africa and data processing to provide water vapor data to meteorologists, for improved forecasts of extreme weather events

LAMPO project


Geodetic Integrated Monitoring System

Funded by H2020

Aim: Build and commercialize an advanced low-cost system based on EGNSS, Copernicus SAR and other in-situ sensors, like inertial measurement units, to monitor ground deformations

GReD activities: Development of new GNSS processing software to process data coming from Galileo-enabled, dual-frequency low-cost receivers. Integration of GNSS, InSAR and accelerometers to provide a complete solution for landslide monitoring

LAMPO project


BRIdging the GAp for Innovations in Disaster resilience

Funded by H2020

Aim: Provide integral support for innovations for climate adaptation, focusing on climate-driven disasters like floods, droughts and extreme weather

GReD activities: Deployment of four low-cost GNSS stations in Rotterdam (The Netherlands) and four more in Monterosso al Mare (Italy); data processing to retrieve water vapor information; study of the relation between water vapor and rain events


SaTellite Earth observation for Atmospheric Modelling

Funded by European Space Agency

Aim: Ingestion of high-resolution remote sensing data products (GNSS, SAR) in high-resolution numerical weather models to improve intense rain forecasts

GReD activities: Processing of data collected all GNSS stations available in Italy to derive water vapor data to be assimilated into numerical weather prediction models to improve the forecast of two rain events


Early Detection of Water-vapor Instabilities by GNSS Estimation


Aim: Development of prototypal low-cost dual-frequency GNSS stations, for atmospheric water vapor monitoring

GReD activities: Deployment of a dense network of prototype stations and data processing to evaluate their performance

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