2022
Granell-Canut, Carlos; Mooney, Peter; Jirka, Simon; Rieke, Matthes; Ostermann, Frank O; Broecke, Just Van Den; Sarretta, Alessandro; Verhulst, Stefaan; Dencik, Lina; Oost, Hillen; Micheli, Marina; Minghini, Marco; Kotsev, Alexander; Schade, Sven
Emerging approaches for data-driven innovation in Europe Book
Publications Office of the European Union, Luxemburg, 2022, ISBN: 978-92-76-46937-7.
Abstract | Links | BibTeX | Tags: Data science, Data spaces, Europe, Geographic data
@book{Granell2022a,
title = {Emerging approaches for data-driven innovation in Europe},
author = {Carlos Granell-Canut and Peter Mooney and Simon Jirka and Matthes Rieke and Frank O Ostermann and Just Van Den Broecke and Alessandro Sarretta and Stefaan Verhulst and Lina Dencik and Hillen Oost and Marina Micheli and Marco Minghini and Alexander Kotsev and Sven Schade},
url = {https://publications.jrc.ec.europa.eu/repository/handle/JRC127730},
doi = {https://doi.org/10.2760/630723},
isbn = {978-92-76-46937-7},
year = {2022},
date = {2022-01-15},
number = {JRC127730},
publisher = {Publications Office of the European Union},
address = {Luxemburg},
abstract = {Europe’s digital transformation of the economy and society is one of the priorities of the current Commission and is framed by the European strategy for data. This strategy aims at creating a single market for data through the establishment of a common European data space, based in turn on domain-specific data spaces in strategic sectors such as environment, agriculture, industry, health and transportation. Acknowledging the key role that emerging technologies and innovative approaches for data sharing and use can play to make European data spaces a reality, this document presents a set of experiments that explore emerging technologies and tools for data-driven innovation, and also deepen in the socio-technical factors and forces that occur in data-driven innovation. Experimental results shed some light in terms of lessons learned and practical recommendations towards the establishment of European data spaces.},
keywords = {Data science, Data spaces, Europe, Geographic data},
pubstate = {published},
tppubtype = {book}
}
2017
Busetto, Lorenzo; Casteleyn, Sven; Granell-Canut, Carlos; Pepe, Monica; Barbieri, M.; Campos-Taberner, M.; Casa, R.; Collivignarelli, F.; Confalonieri, R.; Crema, A.; García-Haro, F. J.; Gatti, L.; Gitas, I. Z.; González-Pérez, Alberto; Grau-Muedra, G.; Guarneri, T.; Holecz, F.; Katsantonis, D.; Minakou, C.; Miralles-Tena, Ignacio; Movedi, E.; Nutini, F.; Pagani, V.; Palombo, A.; Paola, F. D.; Pascucci, S.; Pignatti, S.; Rampini, A.; Ranghetti, L.; Ricciardelli, E.; Romano, F.; Stavrakoudis, D. G.; Stroppiana, D.; Viggiano, M.; Boschetti, M.
Downstream Services for Rice Crop Monitoring in Europe: From Regional to Local Scale Journal Article
In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. PP, no. 99, pp. 1-19, 2017, ISSN: 1939-1404.
Links | BibTeX | Tags: Agriculture, Data models, Electronic mail, ERMES, Europe, food industry, FPU_Miralles, Meteorology, modeling, Monitoring, Remote sensing, RyC-Casteleyn, RyC-Granell
@article{7898821,
title = {Downstream Services for Rice Crop Monitoring in Europe: From Regional to Local Scale},
author = {Lorenzo Busetto and Sven Casteleyn and Carlos Granell-Canut and Monica Pepe and M. Barbieri and M. Campos-Taberner and R. Casa and F. Collivignarelli and R. Confalonieri and A. Crema and F. J. García-Haro and L. Gatti and I. Z. Gitas and Alberto González-Pérez and G. Grau-Muedra and T. Guarneri and F. Holecz and D. Katsantonis and C. Minakou and Ignacio Miralles-Tena and E. Movedi and F. Nutini and V. Pagani and A. Palombo and F. D. Paola and S. Pascucci and S. Pignatti and A. Rampini and L. Ranghetti and E. Ricciardelli and F. Romano and D. G. Stavrakoudis and D. Stroppiana and M. Viggiano and M. Boschetti},
doi = {10.1109/JSTARS.2017.2679159},
issn = {1939-1404},
year = {2017},
date = {2017-04-13},
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
volume = {PP},
number = {99},
pages = {1-19},
keywords = {Agriculture, Data models, Electronic mail, ERMES, Europe, food industry, FPU_Miralles, Meteorology, modeling, Monitoring, Remote sensing, RyC-Casteleyn, RyC-Granell},
pubstate = {published},
tppubtype = {article}
}