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Delivering Advanced Predictive Tools form Medium to Seasonal Range for Water Dependent Industries Exploiting the Cross-Cutting Potential of EO and Hydro-Ecological Modeling

Risultati finali

User requirements inventory

Report on the identification of enduser requirements

Model developments and benchmarking for prediction of water quality variables

Report on the development of water quality modules in the HYPE operational code

Briefings for uptake by EU decision makers

Report on the development of policy briefings for EU decision makers

Data integration report

Report on the use of data integration from satellite imaging spectrometry and multispectral sensors for improving water quality monitoring

Airborne optical data harvesting and geo-processing for water quality

Report on UAVbased water quality mapping

EO Hyper-spectral data processing for improved information

Report on hyperspectral data acquisition for improved water quality mapping

Setup and calibration of the ecological models of the three pilot studies

Report on the set-up and calibration of the physics-based ecological models

User-driven focused report on the advances in the forecast skill of hydrological seasonal predictions through data assimilation

Report on improving predictability of different hydrological variables in the seasonal time scale through data assimilation

Mid-term Dissemination Report - including promotional material, leaflets/brochure, newsletters, posters, webinars and workshop/conference reports

Midterm report on dissemination and communication activities

Final Dissemination Report - including promotional material, leaflets/brochure, newsletters, posters, webinars and workshop/conference reports

Final report on dissemination and communication activities

Machine learning algorithms for improving forecasting performance

Report on the development of machine learning algorithms for the improvement of forecasting power

Report on service implementation in demonstration case studies

Report on he applicability of the operational service line into each case study

First validation report

Initial report on the validation of EOderived products

Scientific experiments set-up

Report on the setup of scientific experiments to be performed in the pilot studies

Report on social and institutional determinants of the decision-making process of EO-based service users

Report on the development of a behavior model the organization of 3 socioengineering workshops and results evaluation

Multi- and hyper-spectral imagery assimilation in physical models for enhancing algae bloom forecasting

Report on EO data assimilation into the physicsbased ecological models of the pilot studies

End-user evaluation report

Enduser evaluation and feedback

Dissemination, communication and exploitation strategy and plan

Report on dissemination and exploitation planning, and communication activities

EO Science Virtual Laboratory

Report on the established EO Science Virtual lab

Final validation report

Final report on the validation of EOderived products

EO Multi-spectral data processing for operational monitoring

Report on on turning data acquired by multispectral sensors into information on water status

Early version of Data Management Plan

Initial version of data management definitions, protocols and conventions

Final version of Data Management Plan

Final version of data management definitions protocols and conventions

Pubblicazioni

First Evaluation of PRISMA Level 1 Data for Water Applications

Autori: Claudia Giardino, Mariano Bresciani, Federica Braga, Alice Fabbretto, Nicola Ghirardi, Monica Pepe, Marco Gianinetto, Roberto Colombo, Sergio Cogliati, Semhar Ghebrehiwot, Marnix Laanen, Steef Peters, Thomas Schroeder, Javier A. Concha, Vittorio E. Brando
Pubblicato in: Sensors, Issue 20/16, 2020, Page(s) 4553, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s20164553

Impact of Satellite and In Situ Data Assimilation on Hydrological Predictions

Autori: Musuuza J., Gustafsson D., Pimentel R., Crochemore L., Pechlivanidis I.
Pubblicato in: Remote Sensing, Issue 12, 2020, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs12050811

Integrating Inland and Coastal Water Quality Data for Actionable Knowledge

Autori: El Serafy, G.Y.H.; Schaeffer, B.A.; Neely, M.-B.; Spinosa, A.; Odermatt, D.; Weathers, K.C.; Baracchini, T.; Bouffard, D.; Carvalho, L.; Conmy, R.N.; Keukelaere, L.D.; Hunter, P.D.; Jamet, C.; Joehnk, K.D.; Johnston, J.M.; Knudby, A.; Minaudo, C.; Pahlevan, N.; Reusen, I.; Rose, K.C.; Schalles, J.; Tzortziou, M.
Pubblicato in: Remote Sensing, 2021, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13152899

Evaluation of Earth Observations and In Situ Data Assimilation for Seasonal Hydrological Forecasting

Autori: Musuuza, Jude L, Crochemore, Louise, Pechlivanidis, Ilias G
Pubblicato in: Water Resources Research, 2023, ISSN 0043-1397
Editore: American Geophysical Union
DOI: 10.1029/2022wr033655

Application of New Hyperspectral Sensors in the Remote Sensing of Aquatic Ecosystem Health: Exploiting PRISMA and DESIS for Four Italian Lakes

Autori: Bresciani, Mariano, Claudia Giardino, Alice Fabbretto, Andrea Pellegrino, Salvatore Mangano, Gary Free, and Monica Pinardi
Pubblicato in: Resources, 2022, ISSN 2079-9276
Editore: MDPI
DOI: 10.3390/resources11020008

Perspectives on user engagement of satellite Earth observation for water quality management

Autori: Lara Agnoli, Erin Urquhart, Nikolaos Georgantzis, Blake Schaeffer, Richard Simmons, Bilqis Hoque, Merrie Beth Neely, Claire Neil, Jacques Oliver, Andrew Tyler
Pubblicato in: Technological Forecasting and Social Change, 2023, ISSN 0040-1625
Editore: Elsevier BV
DOI: 10.1016/j.techfore.2023.122357

Assessing the Accuracy of PRISMA Standard Reflectance Products in Globally Distributed Aquatic Sites

Autori: Pellegrino, Andrea, Alice Fabbretto, Mariano Bresciani, Thainara Munhoz Alexandre de Lima, Federica Braga, Nima Pahlevan, Vittorio Ernesto Brando, Susanne Kratzer, Marco Gianinetto, and Claudia Giardino
Pubblicato in: Remote Sensing, 2023, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs15082163

What Are the Key Drivers Controlling the Quality of Seasonal Streamflow Forecasts?

Autori: I. G. Pechlivanidis, L. Crochemore, J. Rosberg, T. Bosshard
Pubblicato in: Water Resources Research, Issue 56/6, 2020, ISSN 0043-1397
Editore: American Geophysical Union
DOI: 10.1029/2019wr026987

Assessment of PRISMA water reflectance using autonomous hyperspectral radiometry

Autori: Federica Braga, Alice Fabbretto, Quinten Vanhellemont, Mariano Bresciani, Claudia Giardino, Gian Marco Scarpa, Giorgia Manfè, Javier Alonso Concha, Vittorio Ernesto Brando
Pubblicato in: ISPRS Journal of Photogrammetry and Remote Sensing, 2022, ISSN 0924-2716
Editore: Elsevier BV
DOI: 10.1016/j.isprsjprs.2022.08.009

Advancing cyanobacteria biomass estimation from hyperspectral observations: Demonstrations with HICO and PRISMA imagery

Autori: O'Shea, R. E.; Pahlevan, N.; Smith, B.; Bresciani, M.; Egerton, T.; Giardino, C.; & Vaičiūtė, D.
Pubblicato in: Remote Sensing of Environment, 2021, ISSN 0034-4257
Editore: Elsevier BV
DOI: 10.1016/j.rse.2021.112693

What is the impact of earth observation and in-situ data assimilation on seasonal hydrological predictions?

Autori: Pechlivanidis I. and Musuuza J
Pubblicato in: 2021
Editore: International Conference, in CEST 2021: Hydrology and Water Resources

A data-driven approach to predict phytoplankton blooms using satellite-derived water quality and hydrometeorological drivers

Autori: Kandris K., Romas E., Tzimas A., Bresciani M., Giardino C., Bauer P., Pechlivanidis I., Dessena M.
Pubblicato in: 2021
Editore: International Conference on Environmental Science and Technology

Evaluation of PRISMA and DESIS data for water quality mapping: a focus on PrimeWater project study areas

Autori: Fabbretto A , Pellegrino A , Mangano S , Bresciani M , Pinardi M , Giardino C , Tzimas A.
Pubblicato in: 2022
Editore: ASITA Conference

Evaluation of PRISMA Hyperspectral Data for Inland and Coastal Water Applications

Autori: Bresciani et al.
Pubblicato in: 2022
Editore: Ocean Optics Conference

Assessing the suitability of multi-spectral satellite data for the development of data-driven models of phytoplankton dynamics in lakes and reservoirs

Autori: Kandris, K., Romas, E., Tzimas, A., Pechlivanidis, I., Bauer, P., Joehnk, K., Bresciani, M., Giardino, C., Anstee, J., Schaeffer, B. A., and Dessena, M.-A
Pubblicato in: 2022
Editore: EGU2022

The impact of assimilating Earth Observation and in situ data on seasonal hydrological predictions in a snow-dominated river system

Autori: Musuuza J., Crochemore L., Pechlivanidis I.
Pubblicato in: 2022
Editore: EGU2022

The impact of assimilating Earth Observation and in-situ data on seasonal hydrological predictions

Autori: Musuuza J., Crochemore L., Pechlivanidis I.
Pubblicato in: 2022
Editore: IAHS2022

Hyperspectral Prisma Products of Aquatic Systems

Autori: C. Giardino et al.
Pubblicato in: 2021
Editore: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS

Employing data-driven models in the optimization of chemical usage in water treatment plants

Autori: Kandris, Kyriakos, Evangelos D. Romas, Apostolos Tzimas and Eugenia Gavalakis
Pubblicato in: 2020
Editore: Global NEST International Conference on Environmental Science & Technology

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