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    Welcome to LISTEN-E

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DeveLoping new awareness and Innovative toolS to support efficient waTer rEsources maNagement Exploiting geoinformatiOn technologies
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This project has received funding from the European Union’s Next Generation EU and Hellenic Foundation for Research and Innovation programme under Project Number 015898 

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About LISTEN-EO

LISTEN-EO - Developing new Awareness and Innovative tools to support efficient water resources management exploiting geoinformation technologies is a two-year (2023 - 2025) project (ID 015898) funded by the Hellenic Foundation for  Research and Innovation programme.  

LISTEN-EO addresses a critical need to understand and manage natural Earth System processes, especially related to water resources. The project advances the synergy of EO with land biosphere models, specifically Soil Vegetation Atmosphere Transfer models for better understanding of Land Surface Interactions. The goal of LISTEN-EO is to develop innovative methods that combine ground instrumentation, process models, and ΕΟ data, aiming to evaluate key environmental and climatic factors related to water resources management with significant impacts on the environment.

Research Team

Assistant Professor


Department of Informatics and Telematics, Harokopio University of Athens

Vasileios Anagnostopoulos

 Software engineer


Researcher Grade A

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PhD student


Department of Geography, Harokopio University of Athens 

PhD student  


Department of Geography, Harokopio University of Athens 

Research Associate

 

Dep. of Surveying and Geoinformatics Engineering, University of West Attica

 Project  PI


Assistant Professor
Department of Geography, Harokopio University of Athens , Greece

Professor

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Department of Geography, Harokopio University of Athens 

Professor

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Department of Geography,  Harokopio University of Athens 

Objectives

LISTEN-EO OBJECTIVES

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Perform a series of cutting-edge inventions to the SimSphere LBM through a multifaceted approach, expanding the functionalities and usability of this land surface modeling tool.

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Refine the 'triangle' inversion modeling approach to gain a deeper understanding of physical properties within the EO-derived Ts/VI feature space. 

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Establish the downscaling of existing soil moisture EO products, improving the usablity of those products for watershed to regional studies. 

Objectives

Work Packages 

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Communication & Dissemination

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Project Coordinator:  


Dept. of Geography, Harokopio University of Athens, Greece

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Principal Investigator:      

 

Dr. George P. Petropoulos

listen_eo@hua.gr 

(gpetropoulos@hua.gr)

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