Published April 13, 2017 | Version v1
Journal article Open

Downstream Services for Rice Crop Monitoring in Europe: From Regional to Local Scale

  • 1. Institute on Remote Sensing of Environment, Italian National Research Council
  • 2. Geospatial Technologies Research Group (GEOTech), Institute of New Imaging Technologies (INIT), University Jaime I, 12071 Castellón,  Spain
  • 3. sarmap SA, 6989 Purasca, Switzerland
  • 4. Department de Física de la Terra i Termodinàmica, Facultat de Física, Universitat de València 46100, València, Spain
  • 5. Department of Agricultural and Forestry scieNcEs (DAFNE), Universita' della Tuscia, 01100 Viterbo, Italy
  • 6. University of Milan, Cassandra lab, via Celoria 2, 20133 Milan,  Italy
  • 7. Laboratory of Forest Management and Remote Sensing, School of Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece
  • 8. University of Milan, Cassandra lab, via Celoria 2, 20133 Milan,  Ital
  • 9. Hellenic Agricultural Organization, Plant Breeding and Genetic Resources Institute, 57001Thermi-Thessalonikis, Greece
  • 10. Institute on Remote Sensing of Environment, Italian National Research Council (CNR-IREA), 20133 Milano, Italy
  • 11. Institute of Methodologies for Environmental Analysis, Italian National Research Council (CNR-IMAA), I-85050Tito Scalo, Italy
  • 12. Institute of Methodologies for Environmental Analysis, Italian National Research Council (CNR-IMAA), I-85050Tito Scalo, Ital

Description

Abstract:

The ERMES agromonitoring system for rice cultivations integrates EO data at different resolutions, crop models, and user-provided in situ data in a unified system, which drives two operational downstream services for rice monitoring. The first is aimed at providing information concerning the behavior of the current season at regional/rice district scale, while the second is dedicated to provide farmers with field-scale data useful to support more efficient and environmentally friendly crop practices. In this contribution, we describe the main characteristics of the system, in terms of overall architecture, technological solutions adopted, characteristics of the developed products, and functionalities provided to end users. Peculiarities of the system reside in its ability to cope with the needs of different stakeholders within a common platform, and in a tight integration between EO data processing and information retrieval, crop modeling, in situ data collection, and information dissemination. The ERMES system has been operationally tested in three European rice-producing countries (Italy, Spain, and Greece) during growing seasons 2015 and 2016, providing a great amount of near-real-time information concerning rice crops. Highlights of significant results are provided, with particular focus on real-world applications of ERMES products and services. Although developed with focus on European rice cultivations, solutions implemented in the ERMES system can be, and are already being, adapted to other crops and/or areas of the world, thus making it a valuable testing bed for the development of advanced, integrated agricultural monitoring systems.

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Additional details

Funding

ERMES – ERMES: An Earth obseRvation Model based RicE information Service 606983
European Commission