Multiscale Optical Data
Study Water Quality in Freshwater Reservoir with Multiscale Optical Data
Imaging spectrometry
Study Primary Producers with Satellite Imaging Spectrometry
Take the PrimeWater survey ‘User preferences for Earth Observation services’ now!
The PrimeWater survey ‘User preferences for Earth Observation services’ is now available online! (also in italiano) . The survey is targeted at anyone interested in water monitoring and forecasting services and it will help us study the attitudes of users and stakeholders towards Earth Observation…
Assimilation of Earth Observation products and in-situ data in seasonal hydrological forecasting services
First Evaluation of PRISMA Level 1 Data for Water Applications
Abstract This study presents a first assessment of the Top-Of-Atmosphere (TOA) radiances measured in the visible and near-infrared (VNIR) wavelengths from PRISMA (PRecursore IperSpettrale della Missione Applicativa), the new hyperspectral satellite sensor of the Italian Space Agency in orbit since March 2019. In particular, the…
What Are the Key Drivers Controlling the Quality of Seasonal Streamflow Forecasts?
Abstract Recent technological advances in representation of processes in numerical climate models have led to skillful predictions, which can consequently increase the confidence of hydrological predictions and usability of hydroclimatic services. Given that many water-related stakeholders are affected by seasonal hydrological variations, there is a…
Impact of Satellite and In Situ Data Assimilation on Hydrological Predictions
Abstract The assimilation of different satellite and in situ products generally improves the hydrological model predictive skill. Most studies have focused on assimilating a single product at a time with the ensemble size subjectively chosen by the modeller. In this study, we used the European-scale…
PrimeWater project has kicked-off!
PrimeWater – Delivering Advanced Predictive Tools from Medium to Seasonal Range for Water Dependent Industries Exploiting the Cross-Cutting Potential of EO and Hydro-Ecological Modelling Over the course of the next three years, our consortium of organizations from Europe, North-America and Australia will further advance the…
Employing data-driven models in the optimization of chemical usage in water treatment plants
Abstract One of the most challenging tasks in potable water production is the cost-efficient and consistent operation of water treatment plants (WTPs) that treat raw water of variable quality and quantity. To increase process stability and optimize the usage of resources, two data-driven models simulated…
EURACTIV special report “Can space technologies improve drinking water quality?”
The use of space technologies in different sectors of the EU economy has seen an increase lately. Advocates suggest that satellite data could help improve or even optimise production, from agricultural practices to drinking water processing. Read more in this special report by EURACTIV.com.
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