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

Bontemps Sophie, Arias Marcela, Cara Cosmin, Dedieu Gérard, Guzzonato Eric, Hagolle Olivier, Inglada Jordi, Matton Nicolas, Morin David, Popescu Ramona, Rabaute Thierry, Savinaud Mickael, Sepulcre Guadalupe, Valero Silvia, Ahmad Ljaz, Bégué Agnès, Bingfang Wu, de Abelleyra Diego, Diarra Alhousseine, Dupuy Stéphane, French Andrew, ul Hassan Akhtar Ibrar, Kussul Nataliia, Lebourgeois Valentine, Le Page Michel, Newby Terrence, Savin Igor, Verón Santiago R., Koetz Benjamin, Defourny Pierre. 2015. Building a data set over 12 globally distributed sites to support the development of agriculture monitoring applications with sentinel-2. Remote Sensing, 7 (12) : 16062-16090.

Quartile : Q1, Sujet : REMOTE SENSING

Résumé : Developing better agricultural monitoring capabilities based on Earth Observation data is critical for strengthening food production information and market transparency. The Sentinel-2 mission 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.

Mots-clés Agrovoc : télédétection, imagerie par satellite, cartographie de l'utilisation des terres, terre agricole, paysage agricole, gestion foncière, production végétale, politique agricole, développement agricole, politique de développement, aide à la décision

Mots-clés géographiques Agrovoc : Viet Nam, République centrafricaine

Classification Agris : U30 - Méthodes de recherche
E10 - Économie et politique agricoles
E11 - Économie et politique foncières

Champ stratégique Cirad : Axe 1 (2014-2018) - Agriculture écologiquement intensive

Auteurs et affiliations

• Bontemps Sophie, UCL (BEL)
• Arias Marcela, CESBIO (FRA)
• Cara Cosmin, CS Romania (ROU)
• Dedieu Gérard, CESBIO (FRA)
• Guzzonato Eric, CS France (FRA)
• Hagolle Olivier, CESBIO (FRA)
• Inglada Jordi, CESBIO (FRA)
• Matton Nicolas, UCL (BEL)
• Morin David, CESBIO (FRA)
• Popescu Ramona, CS Romania (ROU)
• Rabaute Thierry, CS France (FRA)
• Savinaud Mickael, CS France (FRA)
• Sepulcre Guadalupe, UCL (BEL)
• Valero Silvia, CESBIO (FRA)
• Ahmad Ljaz, National Agriculture Information Center Directorat (PAK)
• Bégué Agnès, CIRAD-ES-UMR TETIS (FRA)
• Bingfang Wu, CAS (CHN)
• de Abelleyra Diego, INTA (ARG)
• Diarra Alhousseine, Université Cadi Ayyad (MAR)
• Dupuy Stéphane, CIRAD-ES-UMR TETIS (REU) ORCID: 0000-0002-9710-5364
• French Andrew, ARS (USA)
• ul Hassan Akhtar Ibrar, National Agriculture Information Center Directorat (PAK)
• Kussul Nataliia, Space Research Institute (UKR)
• Lebourgeois Valentine, CIRAD-ES-UMR TETIS (FRA)
• Le Page Michel, CESBIO (FRA)
• Newby Terrence, ARC (ZAF)
• Savin Igor, Dokuchaev Soil Science Institute (RUS)
• Verón Santiago R., INTA (ARG)
• Koetz Benjamin, ESA (ITA)
• Defourny Pierre, UCL (BEL)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/578658/)

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