Enhancing Earth Observation data and other Copernicus sectoral services
Posted on 12/10/2020

The H2020 funded PrimeWater project is adding value to Earth Observation data and other Copernicus sectoral services. This is through cross-cutting research, using state of the art process-based and data-driven modelling for predicting hydrological extremes and water quality issues such as Harmful Algae Bloom events in lakes and reservoirs. The aim of the project is to improve the skill of hydro-ecological forecasts and their related impact at different spatial and temporal scales, by integrating satellite imaging spectrometry into the modelling chain through advanced Data Assimilation techniques and Machine Learning algorithms.

In the following interview, find out expected outputs of the PrimeWater project and highlights how PrimeWater plans to bring new knowledges on EO-based technologies closer to end users.