Building a data set over 12 globally distributed sites to support the development of agriculture monitoring applications with Sentinel-2

Developing better agricultural monitoring capabilities based on Earth Observation data is critical for strengthening food production information and market transparency. The Sentinel-2mission has the optimal capacity for regional to global agriculture monitoring in terms of resolution (10-20 meter), revisit frequency (five days) and coverage (global). In this context, the European Space Agency launched in 2014 the "Sentinel-2 for Agriculture" project, which aims to prepare the exploitation of Sentinel-2 data for agriculture monitoring through the development of open source processing chains for relevant products. The project generated an unprecedented data set, made of "Sentinel-2 like" time series and in situ data acquired in 2013 over 12 globally distributed sites. Earth Observation time series were mostly built on the SPOT4 (Take 5) data set, which was specifically designed to simulate Sentinel-2. They also included Landsat 8 and RapidEye imagery as complementary data sources. Images were pre-processed to Level 2A and the quality of the resulting time series was assessed. In situ data about cropland, crop type and biophysical variables were shared by site managers, most of them belonging to the "Joint Experiment for Crop Assessment and Monitoring" network. This data set allowed testing and comparing across sites the methodologies that will be at the core of the future "Sentinel-2 for Agriculture" system. © 2015 by the authors.

Bontemps S.1 , Arias M.2 , Cara C.3 , Dedieu G.2 , Guzzonato E.4 , Hagolle O.2 , Inglada J.2 , Matton N.1 , Morin D.2 , Popescu R.3 , Rabaute T.4 , Savinaud M.4 , Sepulcre G.1 , Valero S.2 , Ahmad I.5 , Bégué A.6 , Wu B.7 , De Abelleyra D. , Diarra A.9, 10 , Dupuy S.6 , French A.11 , Akhtar I.H.5 , Kussul N.12 , Lebourgeois V.6 , Page M.L.2, 10 , Newby T.13 , Savin I. 14 , Verón S.R.8 , Koetz B.15 , Defourny P.1
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  • 1 Earth and Life Institute, Université Catholique de Louvain, 2 Croix du Sud bte L7.05.16, Louvain-la-Neuve, 1348, Belgium
  • 2 Centre d'Etudes Spatiales de la BIOsphère CESBIO, Université de Toulouse, CNES/CNRS/IRD/UPS, 18 Avenue Edouard Belin, Toulouse, 31401, France
  • 3 CS Romania S.A., 29 Strada Pacii, Craiova, 200692, Romania
  • 4 CS Systèmes d'Information, 5 rue Brindejonc des Moulinais, Toulouse, 31506, France
  • 5 National Agriculture Information Center Directorate, Space Applications Research Complex, Pakistan Space and Upper Atmosphere Research Commission, Islamabad, 44000, Pakistan
  • 6 Maison de la télédétection (CIRAD-UMR TETIS), 500 rue J.-F. Breton, Montpellier, 34093, France
  • 7 Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, West Beichen Road, Chaoyang, Beijing, 100101, China
  • 8 Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA), Repetto y de Los Reseros s/n, Hurlingham, 1686, Argentina
  • 9 Faculté des Sciences Semlalia, Université Cadi Ayyad, BP 2390, Marrakech, 40000, Morocco
  • 10 Laboratoire Mixte International TREMA, Centre Geber, Faculté des Sciences de Semlalia, Marrakech, 40000, Morocco
  • 11 U.S. Arid Land Agricultural Research Center, ARS-USDA, Maricopa, AZ 85138, United States
  • 12 Space Research Institute of National, Academy of Sciences of Ukraine and State Space Agency of Ukraine, 40 prosp. Glushkov, build.4/1, Kyiv, 03680, Ukraine
  • 13 Agricultural Research Council (South Africa), Private Bag X79, Pretoria, 0001, South Africa
  • 14 V.V. Dokuchaev Soil Science Institute, PFUR, Moscow, 119017, Russian Federation
  • 15 European Space Research Institute, European Space Agency, Via Galileo Galilei, Casella Postale 64, Frascati (Rome), 00044, Italy
Agriculture monitoring; GEOGLAM; In situ data; JECAM; Landsat 8; Satellite time series; Sentinel-2; SPOT4 (Take 5)
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