Granell-Canut, Carlos; Casteleyn, Sven; Busetto, Lorenzo; Pascucci, S; Garcia-Haro, Javier; Gitas, I; Holecz, F; Katsantonis, D; Confalonieri, R; Boschetti, Mirco EO-based agro monitoring system to support regional decision-making. Book Chapter The ever growing use of Copernicus across Europe’s regions: A selection of 99 user stories by local and regional authorities, pp. 72-73, Nereus, Luxembourg, 2018. BibTeX @inbook{Granell-Canut2018b,
title = {EO-based agro monitoring system to support regional decision-making.},
author = {Carlos Granell-Canut and Sven Casteleyn and Lorenzo Busetto and S. Pascucci and Javier Garcia-Haro and I. Gitas and F. Holecz and D. Katsantonis and R. Confalonieri and Mirco Boschetti},
year = {2018},
date = {2018-11-16},
booktitle = {The ever growing use of Copernicus across Europe’s regions: A selection of 99 user stories by local and regional authorities},
pages = {72-73},
publisher = {Nereus},
address = {Luxembourg},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
|
Pagani, Valentina; Guarneri, Tommaso; Busetto, Lorenzo; Ranghetti, Luigi; Boschetti, Mirco; Movedi, Ermes; Campos-Taberner, Manuel; Garcia-Haro, Francisco Javier; Katsantonis, Dimitrios; Stavrakoudis, Dimitris; Ricciardelli, Elisabetta; Romano, Filomena; Holecz, Francesco; Collivignarelli, Francesco; Granell-Canut, Carlos; Casteleyn, Sven; Confalonieri., Roberto A high-resolution, integrated system for rice yield forecasting at district level Journal Article Agricultural systems, 168 , pp. 181-190, 2018, ISSN: 0308-521X, (IF). Abstract | Links | BibTeX @article{Pagani2018,
title = {A high-resolution, integrated system for rice yield forecasting at district level},
author = {Valentina Pagani and Tommaso Guarneri and Lorenzo Busetto and Luigi Ranghetti and Mirco Boschetti and Ermes Movedi and Manuel Campos-Taberner and Francisco Javier Garcia-Haro and Dimitrios Katsantonis and Dimitris Stavrakoudis and Elisabetta Ricciardelli and Filomena Romano and Francesco Holecz and Francesco Collivignarelli and Carlos Granell-Canut and Sven Casteleyn and Roberto Confalonieri. },
doi = {https://doi.org/10.1016/j.agsy.2018.05.007},
issn = {0308-521X},
year = {2018},
date = {2018-07-23},
journal = {Agricultural systems},
volume = {168},
pages = {181-190},
abstract = {To meet the growing demands from public and private stakeholders for early yield estimates, a high-resolution (2 km × 2 km) rice yield forecasting system based on the integration of the WARM model and remote sensing (RS) technologies was developed. RS was used to identify rice-cropped area and to derive spatially distributed sowing dates, and for the dynamic assimilation of RS-derived leaf area index (LAI) data within the crop model. The system—tested for the main European rice production districts in Italy, Greece, and Spain—performed satisfactorily; >66% of the inter-annual yield variability was explained in six out of eight combinations of ecotype × district, with a maximum of 89% of the variability explained for the ‘Tropical Japonica’ cultivars in the Vercelli district (Italy). In seven out of eight cases, the assimilation of RS-derived LAI improved the forecasting capability, with minor differences due to the assimilation technology used (updating or recalibration). In particular, RS data reduced uncertainty by capturing factors that were not properly reproduced by the simulation model (given the uncertainty due to large-area simulations). The system, which is an extension of the one used for rice within the EC-JRC-MARS forecasting system, was used pre-operationally in 2015 and 2016 to provide early yield estimates to private companies and institutional stakeholders within the EU-FP7 ERMES project.},
note = {IF},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
To meet the growing demands from public and private stakeholders for early yield estimates, a high-resolution (2 km × 2 km) rice yield forecasting system based on the integration of the WARM model and remote sensing (RS) technologies was developed. RS was used to identify rice-cropped area and to derive spatially distributed sowing dates, and for the dynamic assimilation of RS-derived leaf area index (LAI) data within the crop model. The system—tested for the main European rice production districts in Italy, Greece, and Spain—performed satisfactorily; >66% of the inter-annual yield variability was explained in six out of eight combinations of ecotype × district, with a maximum of 89% of the variability explained for the ‘Tropical Japonica’ cultivars in the Vercelli district (Italy). In seven out of eight cases, the assimilation of RS-derived LAI improved the forecasting capability, with minor differences due to the assimilation technology used (updating or recalibration). In particular, RS data reduced uncertainty by capturing factors that were not properly reproduced by the simulation model (given the uncertainty due to large-area simulations). The system, which is an extension of the one used for rice within the EC-JRC-MARS forecasting system, was used pre-operationally in 2015 and 2016 to provide early yield estimates to private companies and institutional stakeholders within the EU-FP7 ERMES project. |
Busetto, Lorenzo; Pascucci, S; Garcia-Haro, Javier; Katsantonis, D; Gitas, I; Holecz, F; Confalonieri, R; Miralles-Tena, Ignacio; Boschetti, Mirco Using satellite maps to support variable rate fertilisation Book Chapter The ever growing use of Copernicus across Europe’s regions: A selection of 99 user stories by local and regional authorities, pp. 80-81, Nereus, Luxembourg, 2018. BibTeX @inbook{Busetto2018,
title = {Using satellite maps to support variable rate fertilisation},
author = {Lorenzo Busetto and S. Pascucci and Javier Garcia-Haro and D. Katsantonis and I. Gitas and F. Holecz and R. Confalonieri and Ignacio Miralles-Tena and Mirco Boschetti},
year = {2018},
date = {2018-03-14},
booktitle = {The ever growing use of Copernicus across Europe’s regions: A selection of 99 user stories by local and regional authorities},
pages = {80-81},
publisher = {Nereus},
address = {Luxembourg},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
|
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 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, PP (99), pp. 1-19, 2017, ISSN: 1939-1404. Links | BibTeX @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 = {},
pubstate = {published},
tppubtype = {article}
}
|
González-Pérez, Alberto; Casteleyn, Sven; Rodríguez-Pupo, Luis Enrique; Miralles-Tena, Ignacio; Granell-Canut, Carlos; Huerta-Guijarro, Joaquín Mobile, expert-sourced data collection to enable sustainable agricultural practices and management Inproceedings Mobile Tartu 2016. 29-30 June 2016, 2016. BibTeX @inproceedings{anCastelyn2016,
title = {Mobile, expert-sourced data collection to enable sustainable agricultural practices and management},
author = {Alberto González-Pérez and Sven Casteleyn and Luis Enrique Rodríguez-Pupo and Ignacio Miralles-Tena and Carlos Granell-Canut and Joaquín Huerta-Guijarro},
year = {2016},
date = {2016-06-30},
booktitle = {Mobile Tartu 2016. 29-30 June 2016},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|