Earth Observation (EO) products are increasingly used in operational contexts thanks to their wide range of applications. In this contribution we show how EO derived data are integrated with in-situ measurements and hydrological modelling for the development of a Decision Support Tool (DST) designed for hydropower plant managers all around the world. The framework of this contribution is the European H2020 HYdro-POwer-Suite (HYPOS) Project, which is born in support of the hydropower sector. By integrating diverse data, it aims at providing dam managers with spatialized and recurrent information on waters flowing within a specific watershed. An innovative and easily accessible on-line DST is purposely designed to hold all these multi-source data and offers interoperability options for visualizing, analysing and downloading the data of interest. The HYPOS DST stores high-quality historical and near-real time Earth Observation data for different purposes, e.g. assessing baseline environmental conditions of a watershed, monitoring water optical properties, understanding the water cycle and the sedimentation processes inside a reservoir. Different EO derived data can efficiently support the decisions of dam managers in a more conscious perspective: among all information provided in the HYPOS DST, we present here Land Cover (LC), Water Quality (WQ) and Evaporation (Ev) products for some of the HYPOS test sites.

Integration of EO derived data in a decision support tool for hydropower managers

Erica Matta;Marina Amadori;Mariano Bresciani;Claudia Giardino;
2022

Abstract

Earth Observation (EO) products are increasingly used in operational contexts thanks to their wide range of applications. In this contribution we show how EO derived data are integrated with in-situ measurements and hydrological modelling for the development of a Decision Support Tool (DST) designed for hydropower plant managers all around the world. The framework of this contribution is the European H2020 HYdro-POwer-Suite (HYPOS) Project, which is born in support of the hydropower sector. By integrating diverse data, it aims at providing dam managers with spatialized and recurrent information on waters flowing within a specific watershed. An innovative and easily accessible on-line DST is purposely designed to hold all these multi-source data and offers interoperability options for visualizing, analysing and downloading the data of interest. The HYPOS DST stores high-quality historical and near-real time Earth Observation data for different purposes, e.g. assessing baseline environmental conditions of a watershed, monitoring water optical properties, understanding the water cycle and the sedimentation processes inside a reservoir. Different EO derived data can efficiently support the decisions of dam managers in a more conscious perspective: among all information provided in the HYPOS DST, we present here Land Cover (LC), Water Quality (WQ) and Evaporation (Ev) products for some of the HYPOS test sites.
2022
Earth Observation
Data integration
HYPOS Project
Decision Support Tool
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/447999
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