Ermes – GEOTEC

An Earth observation model-based rice information service

The ERMES project (EU-FP7) aims to develop pre-operational downstream services dedicated to rice farming systems based on the assimilation of Earth Observations (EO) products and in-situ data within crop yield modelling. ERMES exploits state-of-the-art of Geospatial Information Infrastructures (GII), also known as Spatial Data Infrastructures (SDI), and smart applications to acquire in-field information and deliver the service information to End-Users.

GEOTEC’c contribution to the project

GEOTEC is leading WP3 Users’ requirements and services’ evaluation, in which coordinates activities with End-User in order to: i) identify their requirements for the design ERMES services at regional and local scale and ii) evaluate their satisfaction after the service demonstration GEOTEC is also leading WP7 Geo-services for information management: Integration and Communication (leader), which consists on i) To design an SDI to integrate existing registered web services for discovering, accessing, visualizing data and information including the new ERMES EO services, and for providing notification of alarms; ii) to build-up, on the basis of the designed SDI, the geo-portal interface; iii) to develop and integrate smart tools applications for the interaction and information exchange with end-users using participative and mobile technology.. The group has a deep involvement in WP4 Service design, WP8 Scientific and technical validation of product and services.

Publications

7 entries « ‹ 1 of 2 › »

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

In: 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

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

In: Agricultural systems, vol. 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}

}

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

In: 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

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