The project has the objective of developing various innovative analytics for enhancing the urban planning and analysis of urban environmental parameters and their impacts on people and infrastructures in urban areas, combining EO and non-EO data.

The EO4Health Resilience project aims to evaluate the suitability of Earth Observation (EO) imagery in supporting public health decision-making, scenario analysis, and impact and risk assessments, by addressing scientific gaps and challenges to conceptualize a practical, long-term initiative that integrates EO technology into health resilience strategies.

The MAFIS project will develop and demonstrate at pre-operational level a service aimed at providing consistent and statistically reliable information on forests, by combining multi-spectral satellite data and SAR data, to monitor natural and planted forests growth and forest losses due to human activities or to natural phenomena.

Powered by the latest Sentinel satellite data, the project provided a perspective on the capabilities of remote sensing to build capacity and resilience against waterborne diseases under extreme weather conditions in coastal regions.

Aim of the project is to develop an innovative, scalable and accurate process to produce West Nile Disease (WND) risk maps, using EO data and specific AI algorithms.

The aim of this activity is to investigate the viability of developing an E. coli Alert Data Service for environmental agencies and local authorities. This will be carried out via the development of an analysis method for the fusion of in-situ and satellite data.