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Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2

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Bontemps, Sophie [UCL] Arias, Marcela [CESBIO, CNES, France] Cara, Cosmin [CS Romania S.A., Romania] Dedieu, Gérard [CESBIO, CNES, France] Guzzonato, Eric [CS Systèmes d'Information, France] Matton, Nicolas [UCL] Sepulcre Canto, Guadalupe [UCL] Defourny, Pierre [UCL]

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.

Document type Article de périodique (Journal article) – Article de recherche
Access type Accès restreint
Publication date 2015
Language Anglais
Journal information "Remote Sensing" - Vol. 7 , no.12, p. 16062-16090 (2 December 2015)
Peer reviewed yes
issn 2072-4292
e-issn 2072-4292
Publication status Publié
Affiliation UCL - SST/ELI/ELIE - Environmental Sciences
Keywords agriculture monitoring ; satellite time series ; in situ data ; Sentinel-2 ; SPOT4 (Take 5) ; Landsat 8 ; JECAM ; GEOGLAM
Links
  1. World Food Summit, UN Coordination and MDG Follow-up, 1999http://www.fao.org/3/a-x2051e/index.html
  2. The Millennium Development Goals Report 2012http://mdgs.un.org/unsd/mdg/Resources/Static/Products/Progress2012/English2012.pdf
  3. (2015)
  4. G20 Meetings of Agriculture Ministers. Action Plan on Food Price Volatilityhttp://www.g8.utoronto.ca/g20/agriculture/index.html
  5. G20 Cannes Summit, Final Declaration, Building Our Common Future: Renewed Collective Action for the Benefit of All, 2011https://g20.org/wp-content/uploads/2014/12/Declaration_eng_Cannes.pdf
  6. G20 Leaders Declaration, Mexico Summit, 2012https://g20.org/wp-content/uploads/2014/12/G20_Leaders_Declaration_Final_Los_Cabos.pdf
  7. World Bank Food Price Indexhttp://www.worldbank.org/en/topic/poverty/food-price-crisis-observatory#tabs-3
  8. Whitcraft Alyssa, Becker-Reshef Inbal, Justice Christopher, A Framework for Defining Spatially Explicit Earth Observation Requirements for a Global Agricultural Monitoring Initiative (GEOGLAM), 10.3390/rs70201461
  9. Brown (2005)
  10. Developing a Strategy for Global Agricultural Monitoring in the Framework of Group on Earth Observations (GEO) Workshop Report, 2007http://www.fao.org/gtos/igol/docs/meeting-reports/07-geo-ag0703-workshop-report-nov07.pdf
  11. Strengthening global agriculture monitoring—Improving Sustainable Data for Worldwide Food Security & Commodity Market Transparency Proposalhttp://www.earthobservations.org/documents/cop/ag_gams/201106_g20_global_agricultural_monitoring_initiative.pdf
  12. JECAM—Joint Experiment for Crop Assessment and Monitoringhttp://www.jecam.org/
  13. Progress on GEOGLAM Implementation—First Steps towards Implementation 2013–2014 Phase 1 and 2, Document 10 (Rev1), 2013https://www.earthobservations.org/documents/geoglam/GEOGLAM_Implementation_Plan.pdf
  14. Whitcraft Alyssa, Becker-Reshef Inbal, Killough Brian, Justice Christopher, Meeting Earth Observation Requirements for Global Agricultural Monitoring: An Evaluation of the Revisit Capabilities of Current and Planned Moderate Resolution Optical Earth Observing Missions, 10.3390/rs70201482
  15. Drusch M., Del Bello U., Carlier S., Colin O., Fernandez V., Gascon F., Hoersch B., Isola C., Laberinti P., Martimort P., Meygret A., Spoto F., Sy O., Marchese F., Bargellini P., Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services, 10.1016/j.rse.2011.11.026
  16. Johnson David M., An assessment of pre- and within-season remotely sensed variables for forecasting corn and soybean yields in the United States, 10.1016/j.rse.2013.10.027
  17. Torres Ramon, Snoeij Paul, Geudtner Dirk, Bibby David, Davidson Malcolm, Attema Evert, Potin Pierre, Rommen BjÖrn, Floury Nicolas, Brown Mike, Traver Ignacio Navas, Deghaye Patrick, Duesmann Berthyl, Rosich Betlem, Miranda Nuno, Bruno Claudio, L'Abbate Michelangelo, Croci Renato, Pietropaolo Andrea, Huchler Markus, Rostan Friedhelm, GMES Sentinel-1 mission, 10.1016/j.rse.2011.05.028
  18. Hagolle Olivier, Sylvander Sylvia, Huc Mireille, Claverie Martin, Clesse Dominique, Dechoz Cécile, Lonjou Vincent, Poulain Vincent, SPOT-4 (Take 5): Simulation of Sentinel-2 Time Series on 45 Large Sites, 10.3390/rs70912242
  19. Orfeo ToolBoxhttps://www.orfeo-toolbox.org/
  20. ESA Sentinels—Sentinel-2: Operations Ramp-up Phasehttps://sentinel.esa.int/web/sentinel/missions/sentinel-2/operations-ramp-up-phase
  21. ESA Data User Element—Users Consultation Meetings, S2 Agriculture User Consultation and Presentations (2012-03-29 and 2012-04-25)http://due.esrin.esa.int/page_meetings.php
  22. Sentinel-2 for Agriculture—User Requirement Document, 2014, Version 1.2http://www.esa-sen2agri.org/SitePages/pubs_news.aspx
  23. Inglada Jordi, Arias Marcela, Tardy Benjamin, Hagolle Olivier, Valero Silvia, Morin David, Dedieu Gérard, Sepulcre Guadalupe, Bontemps Sophie, Defourny Pierre, Koetz Benjamin, Assessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery, 10.3390/rs70912356
  24. Matton Nicolas, Canto Guadalupe, Waldner François, Valero Silvia, Morin David, Inglada Jordi, Arias Marcela, Bontemps Sophie, Koetz Benjamin, Defourny Pierre, An Automated Method for Annual Cropland Mapping along the Season for Various Globally-Distributed Agrosystems Using High Spatial and Temporal Resolution Time Series, 10.3390/rs71013208
  25. Valero, Remote Sens. (2015)
  26. ESA Sentinel-2 for Agriculture Projecthttp://www.esa-sen2agri.org/
  27. Food and Agriculture Organization of the United Nations—Global Information and Early Warning System on food and agriculture (GIEWS)http://www.fao.org/giews/english/index.htm
  28. The Monitoring Agricultural ResourceS (MARS) Unit Missionhttp://mars.jrc.ec.europa.eu/
  29. Famine Early Warning System Network (FEWS-Net)http://www.fews.net/
  30. CropWatchhttp://www.cropwatch.com.cn/htm/en/index.shtml
  31. China Agriculture Remote Sensing Monitoring System (CHARMS)http://www.caas.net.cn/engforcaas/index.htm
  32. Russian Academy of Sciences, Space Research Institute (IKI), Remote Sensing Based Agricultural Land Monitoring Systemhttp://www.agrocosmos.gvc.ru/
  33. HAGOLLE O, DEDIEU G, MOUGENOT B, DEBAECKER V, DUCHEMIN B, MEYGRET A, Correction of aerosol effects on multi-temporal images acquired with constant viewing angles: Application to Formosat-2 images, 10.1016/j.rse.2007.08.016
  34. Hagolle O., Huc M., Pascual D. Villa, Dedieu G., A multi-temporal method for cloud detection, applied to FORMOSAT-2, VENµS, LANDSAT and SENTINEL-2 images, 10.1016/j.rse.2010.03.002
  35. Completion of the Processing of LANDSAT 8 Level 2A Products Taken above France in 2013, Blog Communication, 11 May 2014http://www.cesbio.ups-tlse.fr/multitemp/?p=3661
  36. Rapid Eye—Satellite Imagery Product Specifications, v6.1, April 2015http://www.blackbridge.com/rapideye/upload/RE_Product_Specifications_ENG.pdf
  37. Hagolle Olivier, Huc Mireille, Pascual David, Dedieu Gerard, A Multi-Temporal and Multi-Spectral Method to Estimate Aerosol Optical Thickness over Land, for the Atmospheric Correction of FormoSat-2, LandSat, VENS and Sentinel-2 Images, 10.3390/rs70302668
  38. Storey James, Choate Michael, Lee Kenton, Landsat 8 Operational Land Imager On-Orbit Geometric Calibration and Performance, 10.3390/rs61111127
  39. Chander G., Haque M.O., Sampath A., Brunn A., Trosset G., Hoffmann D., Roloff S., Thiele M., Anderson C., Radiometric and geometric assessment of data from the RapidEye constellation of satellites, 10.1080/01431161.2013.798877
  40. Nowak Da Costa (2009)
  41. Holben B.N., Eck T.F., Slutsker I., Tanré D., Buis J.P., Setzer A., Vermote E., Reagan J.A., Kaufman Y.J., Nakajima T., Lavenu F., Jankowiak I., Smirnov A., AERONET—A Federated Instrument Network and Data Archive for Aerosol Characterization, 10.1016/s0034-4257(98)00031-5
  42. Can-Eye Softwarehttp://www6.paca.inra.fr/can-eye
Bibliographic reference Bontemps, Sophie ; Arias, Marcela ; Cara, Cosmin ; Dedieu, Gérard ; Guzzonato, Eric ; et. al. Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2. In: Remote Sensing, Vol. 7 , no.12, p. 16062-16090 (2 December 2015)
Permanent URL http://hdl.handle.net/2078.1/176480