Projects2021-11-23T12:11:16+01:00

CAMALIOT

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.

SINOPTICA

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

GIADA

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

GIULIA

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

LAMPO

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

TWIGA

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

GIMS

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

BRIGAID

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

STEAM

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

EDWIGE

Early Detection of Water-vapor Instabilities by GNSS Estimation

Funded by EUROSTARS-EUREKA

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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