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

Remote Sensing

Sophie Bontemps¹¹  Marcela Arias¹  Cosmin Cara⁴  Gérard Dedieu¹  Eric Guzzonato¹⁴  Olivier Hagolle¹  Jordi Inglada¹  Nicolas Matton¹¹  David Morin¹  Ramona Popescu⁴  Thierry Rabaute¹⁴  Mickael Savinaud¹⁴  Guadalupe Sepulcre¹¹  Silvia Valero¹  Ijaz Ahmad⁶  Agnès Bégué⁹  Wu Bingfang⁷  Diego de Abelleyra⁸  Alhousseine Diarra¹⁰  Stéphane Dupuy⁹  Andrew French^5,11  Ibrar ul Hassan Akhtar⁶  Nataliia Kussul^11,15  Valentine Lebourgeois⁹  Michel Le Page¹  Terrence Newby^2,11  Igor Savin^11,12  Santiago R. Verón⁸  Benjamin Koetz^11,13  Pierre Defourny¹¹  Olivier Arino^3,11  Sylvia Sylvander^3,11  Clement Atzberger^3,11 

[1] Centre d’Etudes Spatiales de la BIOsphère CESBIO, Université de Toulouse, CNES/CNRS/IRD/UPS, 18 Avenue Edouard Belin, 31401 Toulouse, France;Agricultural Research Council (South Africa), Private Bag X79, 0001 Pretoria, South Africa;;Earth and Life Institute, Université Catholique de Louvain, 2 Croix du Sud bte L7.05.16, 1348 Louvain-la-Neuve, BelgiumCS Romania S.A., 29 Strada Pacii, 200692 Craiova, Romania;U.S. Arid Land Agricultural Research Center, ARS-USDA, Maricopa, 85138 AZ, USA;National Agriculture Information Center Directorate, Space Applications Research Complex, Pakistan Space and Upper Atmosphere Research Commission, 44000 Islamabad, Pakistan;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, West Beichen Road, Chaoyang, Beijing 100101, China;Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA), Repetto y de Los Reseros s/n, 1686 Hurlingham, Argentina;Maison de la télédétection (CIRAD-UMR TETIS), 500 rue J.-F. Breton, 34093 Montpellier, France;Faculté des Sciences Semlalia, Université Cadi Ayyad, BP 2390, 40000 Marrakech, Morocco;Earth and Life Institute, Université Catholique de Louvain, 2 Croix du Sud bte L7.05.16, 1348 Louvain-la-Neuve, Belgium;V.V. Dokuchaev Soil Science Institute, PFUR, 119017 Moscow, Russia;European Space Agency, European Space Agency, Via Galileo Galilei, Casella Postale 64, 00044 Frascati (Rome), Italy;CS Systèmes d’Information, 5 rue Brindejonc des Moulinais, 31506 Toulouse, France;Space Research Institute of National Academy of Sciences of Ukraine and State Space Agency of Ukraine,40 prosp. Glushkov, build.4/1, 03680 Kyiv, Ukraine;

关键词: agriculture monitoring;    satellite time series;    in situ data;    Sentinel-2;    SPOT4 (Take 5);    Landsat 8;    JECAM;    GEOGLAM;   

DOI  :  10.3390/rs71215815

来源: mdpi

【 摘 要 】

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 “Sentinel­2 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 dataset, 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 “Sentinel­2 for Agriculture” system.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.