An Earth Observation Based Rice information service

Short Description

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’s contribution

GEOTEC’s main contribution to the ERMES project consists of three software tools to support the regional and local downstream rice farming services: the smart app, and the local and regional geoportal. The smart app gives local end users (farmers, field workers) the necessary facilities to identify and manage their fields. The local geoportal allows local end users to visualize, interpret and compare in-situ data, sensor data, scientific simulations and satellite data. Finally, the regional geoportal operates on a regional scale, and aims to help regional authorities and agro-business in monitoring larger areas, planning and policymaking. The regional geoportal is developed along the same principles as the local geoportal, and offers sensor data and analysis results of (Sentinel) satellite images at regional scale.


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Busetto, Lorenzo; Casteleyn, Sven; Granell, 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, A; Grau-Muedra, G; Guarneri, T; Holecz, F; Katsantonis, D; Minakou, C; Miralles, 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, PP (99), pp. 1-19, 2017, ISSN: 1939-1404.

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IP: Joaquín Huerta (
Technical contact: Sven Casteleyn  (