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Articles | Volume XLII-3/W6
https://doi.org/10.5194/isprs-archives-XLII-3-W6-91-2019
https://doi.org/10.5194/isprs-archives-XLII-3-W6-91-2019
26 Jul 2019
 | 26 Jul 2019

SENTINEL FOR APPLICATIONS IN AGRICULTURE

M. A. Gomarasca, A. Tornato, D. Spizzichino, E. Valentini, A. Taramelli, G. Satalino, M. Vincini, M. Boschetti, R. Colombo, L. Rossi, E. Borgogno Mondino, L. Perotti, W. Alberto, and F. Villa

Keywords: Copernicus, Sentinel, Agriculture, Earth Observation, Geo-information, Geomatics

Abstract. The European Union and the European Space Agency (EU/ESA) have promoted since 1998 (Baveno Manifesto*) the GMES Programme (Global Monitoring for Environment and Security), nowadays called Copernicus (www.copernicus.eu). In the agriculture domain, the use of Copernicus Sentinel imagery and its services are providing several new opportunities. The knowledge of fundamentals of Earth Observation/Geographic Information EO/GI, namely Geomatics, for the development of innovative strategies for professional skills adequacy and capacity building, supporting Copernicus user uptake, becomes mandatory (Gomarasca, 2009). The target is to help bridging gaps between supply and demand of education and training for geospatial sector (www.eo4geo.eu). The innovative and strategical novelties are the complete free access to Sentinel time series imagery and digital image processing software “Sentinel toolboxes” such as SNAP (Sentinel Application Platform) for different environments (Windows, Mac, Unix). The paper introduce topics as crop mapping and monitoring, biophysical parameters, phenology and yield estimations, through several concluded or ongoing international projects such as: ERMES -FP7 (http://www.ermes-fp7space.eu/it/homepage/, Busetto et al. 2017) and SATURNO (https://www.progettosaturno.it/, Nutini et al., 2018) devoted to the regional agricultural monitoring. As conclusion, SNAP software for image processing of Sentinel data was demonstrated and tested together with Earth Engine software for specific vertical agriculture applications. The topics reported in this paper have been part of the Summer School ‘Sentinel for Applications in Agriculture’ supported by the Copernicus programme, several scientific associations (AIT, ASITA, EARSeL - European Association of Remote Sensing Laboratories), the European Erasmus+ project EO4GEO, University Departments and Geo-Information Companies.