ExtremeEarth is a three-year H2020 ICT research and innovation project. Its main objective is to develop Artificial Intelligence and big data technologies that scale to the large volumes of big Copernicus data, information and knowledge, and apply these technologies in two of the European Space Agency (ESA) Thematic Exploitation Platforms (TEP): Food Security and Polar.

Artificial Intelligence and big data technologies for Copernicus data: The EXTREMEEARTH project / Koubarakis, Manolis; Stamoulis, George; Bilidas, Dimitris; Ioannidis, Theofilos; George Mandilaras, George; Pantazi, George; Papadakis, George; Vlassov, Vladimir; Payberah, Amir H.; Wang, Tianze; Sheikholeslami, Sina; Haileselassie Hagos, Desta; Bruzzone, Lorenzo; Paris, Claudia; Weikmann, Giulio; Marinelli, Daniele; Eltoft, Torbjørn; Marinoni, Andrea; Kræmer, Thomas; Khaleghian, Salman; Ullah, Habib; Troumpoukis, Antonis; Kostopoulou, Nefeli Prokopaki; Konstantopoulos, Stasinos; Karkaletsis, Vangelis; Dowling, Jim; Kakantousis, Theofilos; Datcu, Mihai; Yao, Wei; Dumitru, Corneliu Octavian; Appel, Florian; Migdall, Silke; Muerth, Markus; Bach, Heike; Hughes, Nick; Everett, Alistair; Kiærbech, Ashild; Pedersen, Joakim Lillehaug; Arthurs, David; Fleming, Andrew; Cziferszky, Andreas. - (2021). (Intervento presentato al convegno Big Data from Space tenutosi a Virtual Meeting nel 18-20 May 2021) [10.2760/125905].

Artificial Intelligence and big data technologies for Copernicus data: The EXTREMEEARTH project

Bruzzone, Lorenzo;Paris, Claudia;Giulio Weikmann, Giulio;Marinelli, Daniele;Ullah, Habib;
2021-01-01

Abstract

ExtremeEarth is a three-year H2020 ICT research and innovation project. Its main objective is to develop Artificial Intelligence and big data technologies that scale to the large volumes of big Copernicus data, information and knowledge, and apply these technologies in two of the European Space Agency (ESA) Thematic Exploitation Platforms (TEP): Food Security and Polar.
2021
Proceedings of the 2021 conference on Big Data from Space
Luxembourg: Publications Office of the European Union, 2021
Publications Office of the European Union
978-92-76-37661-3
Koubarakis, Manolis; Stamoulis, George; Bilidas, Dimitris; Ioannidis, Theofilos; George Mandilaras, George; Pantazi, George; Papadakis, George; Vlasso...espandi
Artificial Intelligence and big data technologies for Copernicus data: The EXTREMEEARTH project / Koubarakis, Manolis; Stamoulis, George; Bilidas, Dimitris; Ioannidis, Theofilos; George Mandilaras, George; Pantazi, George; Papadakis, George; Vlassov, Vladimir; Payberah, Amir H.; Wang, Tianze; Sheikholeslami, Sina; Haileselassie Hagos, Desta; Bruzzone, Lorenzo; Paris, Claudia; Weikmann, Giulio; Marinelli, Daniele; Eltoft, Torbjørn; Marinoni, Andrea; Kræmer, Thomas; Khaleghian, Salman; Ullah, Habib; Troumpoukis, Antonis; Kostopoulou, Nefeli Prokopaki; Konstantopoulos, Stasinos; Karkaletsis, Vangelis; Dowling, Jim; Kakantousis, Theofilos; Datcu, Mihai; Yao, Wei; Dumitru, Corneliu Octavian; Appel, Florian; Migdall, Silke; Muerth, Markus; Bach, Heike; Hughes, Nick; Everett, Alistair; Kiærbech, Ashild; Pedersen, Joakim Lillehaug; Arthurs, David; Fleming, Andrew; Cziferszky, Andreas. - (2021). (Intervento presentato al convegno Big Data from Space tenutosi a Virtual Meeting nel 18-20 May 2021) [10.2760/125905].
File in questo prodotto:
File Dimensione Formato  
proceedings of the 2021 conference on big data from-KJNA30697ENN-1-26.pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Creative commons
Dimensione 3.58 MB
Formato Adobe PDF
3.58 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/330197
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact