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-2 mission has the optimal capacity for regional to global agriculture monitoring in terms of resolution (10–20 meter)...

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Main Authors: 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, Ijaz, Bégué, Agnès, Wu, Bingfang, De Abelleyra, Diego, Diarra, Alhousseine, Dupuy, Stéphane, French, Andrew, Akhtar, Ibrar ul Hassan, Kussul, Nataliia, Lebourgeois, Valentine, Le Page, Michel, Newby, Terrence, Savin, Igor, Veron, Santiago Ramón, Koetz, Benjamin, Defourny, Pierre
Format: info:ar-repo/semantics/artículo
Language:Inglés
Published: MDPI 2019
Subjects:
Online Access:https://www.mdpi.com/2072-4292/7/12/15815
http://hdl.handle.net/20.500.12123/5524
https://doi.org/10.3390/rs71215815
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author 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, Ijaz
Bégué, Agnès
Wu, Bingfang
De Abelleyra, Diego
Diarra, Alhousseine
Dupuy, Stéphane
French, Andrew
Akhtar, Ibrar ul Hassan
Kussul, Nataliia
Lebourgeois, Valentine
Le Page, Michel
Newby, Terrence
Savin, Igor
Veron, Santiago Ramón
Koetz, Benjamin
Defourny, Pierre
author_browse Ahmad, Ijaz
Akhtar, Ibrar ul Hassan
Arias, Marcela
Bontemps, Sophie
Bégué, Agnès
Cara, Cosmin
De Abelleyra, Diego
Dedieu, Gérard
Defourny, Pierre
Diarra, Alhousseine
Dupuy, Stéphane
French, Andrew
Guzzonato, Eric
Hagolle, Olivier
Inglada, Jordi
Koetz, Benjamin
Kussul, Nataliia
Le Page, Michel
Lebourgeois, Valentine
Matton, Nicolas
Morin, David
Newby, Terrence
Popescu, Ramona
Rabaute, Thierry
Savin, Igor
Savinaud, Mickael
Sepulcre, Guadalupe
Valero, Silvia
Veron, Santiago Ramón
Wu, Bingfang
author_facet 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, Ijaz
Bégué, Agnès
Wu, Bingfang
De Abelleyra, Diego
Diarra, Alhousseine
Dupuy, Stéphane
French, Andrew
Akhtar, Ibrar ul Hassan
Kussul, Nataliia
Lebourgeois, Valentine
Le Page, Michel
Newby, Terrence
Savin, Igor
Veron, Santiago Ramón
Koetz, Benjamin
Defourny, Pierre
author_sort Bontemps, Sophie
collection INTA Digital
description 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 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 “Sentinel­2 for Agriculture” system.
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id INTA5524
institution Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina)
language Inglés
publishDate 2019
publishDateRange 2019
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publisherStr MDPI
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spelling INTA55242019-07-18T13:25:12Z 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, Ijaz Bégué, Agnès Wu, Bingfang De Abelleyra, Diego Diarra, Alhousseine Dupuy, Stéphane French, Andrew Akhtar, Ibrar ul Hassan Kussul, Nataliia Lebourgeois, Valentine Le Page, Michel Newby, Terrence Savin, Igor Veron, Santiago Ramón Koetz, Benjamin Defourny, Pierre Imágenes por Satélites Agricultura Sensores Vigilancia Satellite Imagery Agriculture Sensors Monitoring Sensores Remotos Sentinel-2 Landsat 8 SPOT4 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 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 “Sentinel­2 for Agriculture” system. Instituto de Clima y Agua Fil: Bontemps, Sophie. Université Catholique de Louvain. Earth and Life Institute; Bélgica Fil: Arias, Marcela. Universite de Toulose - Le Mirail. Centre d’Etudes Spatiales de la BIOsphère; Francia Fil: Cara, Cosmin. CS Romania S.A.; Rumania Fil: Dedieu, Gérard. Universite de Toulose - Le Mirail. Centre d’Etudes Spatiales de la BIOsphère; Francia Fil: Guzzonato, Eric. CS Systèmes d’Information; Francia Fil: Hagolle, Olivier. Universite de Toulose - Le Mirail. Centre d’Etudes Spatiales de la BIOsphère; Francia Fil: Inglada, Jordi. Universite de Toulose - Le Mirail. Centre d’Etudes Spatiales de la BIOsphère; Francia Fil: Matton, Nicolas. Université Catholique de Louvain. Earth and Life Institute; Bélgica Fil: Morin, David. Universite de Toulose - Le Mirail. Centre d’Etudes Spatiales de la BIOsphère; Francia Fil: Popescu, Ramona. CS Romania S.A.; Rumania Fil: Rabaute, Thierry. CS Systèmes d’Information; Francia Fil: Savinaud, Mickael. CS Systèmes d’Information; Francia Fil: Sepulcre, Guadalupe. Université Catholique de Louvain. Earth and Life Institute; Bélgica Fil: Valero, Silvia. Universite de Toulose - Le Mirail. Centre d’Etudes Spatiales de la BIOsphère; Francia Fil: Ahmad, Ijaz. Pakistan Space and Upper Atmosphere Research Commission. Space Applications Research Complex. National Agriculture Information Center Directorate; Pakistán Fil: Bégué, Agnès. Centre de Coopération Internationale en Recherche Agronomique pour le Développerment; Francia Fil: Wu, Bingfang. Chinese Academy of Sciences. Institute of Remote Sensing and Digital Earth; República de China Fil: De Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Diarra, Alhousseine. Université Cadi Ayyad. Faculté des Sciences Semlalia; Marruecos Fil: Dupuy, Stéphane. Centre de Coopération Internationale en Recherche Agronomique pour le Développerment; Francia Fil: French, Andrew. United States Department of Agriculture. Agricultural Research Service. Arid Land Agricultural Research Center; Argentina Fil: Akhtar, Ibrar ul Hassan. Pakistan Space and Upper Atmosphere Research Commission. Space Applications Research Complex. National Agriculture Information Center Directorate; Pakistán Fil: Kussul, Nataliia. National Academy of Sciences of Ukraine. Space Research Institute and State Space Agency of Ukraine; Ucrania Fil: Lebourgeois, Valentine. Centre de Coopération Internationale en Recherche Agronomique pour le Développerment; Francia Fil: Le Page, Michel. Université Cadi Ayyad. Faculté des Sciences Semlalia. Laboratoire Mixte International TREMA; Marruecos. Universite de Toulose - Le Mirail. Centre d’Etudes Spatiales de la BIOsphère; Francia Fil: Newby, Terrence. Agricultural Research Council; Sudáfrica Fil: Savin, Igor. V.V. Dokuchaev Soil Science Institute; Rusia Fil: Verón, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Koetz, Benjamin. European Space Agency. European Space Research Institute; Italia Fil: Defourny, Pierre. Université Catholique de Louvain. Earth and Life Institute; Bélgica 2019-07-18T13:22:08Z 2019-07-18T13:22:08Z 2015-12 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://www.mdpi.com/2072-4292/7/12/15815 http://hdl.handle.net/20.500.12123/5524 2072-4292 https://doi.org/10.3390/rs71215815 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf MDPI Remote Sensing 7 (12) : 16062-16090 (December 2015)
spellingShingle Imágenes por Satélites
Agricultura
Sensores
Vigilancia
Satellite Imagery
Agriculture
Sensors
Monitoring
Sensores Remotos
Sentinel-2
Landsat 8
SPOT4
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, Ijaz
Bégué, Agnès
Wu, Bingfang
De Abelleyra, Diego
Diarra, Alhousseine
Dupuy, Stéphane
French, Andrew
Akhtar, Ibrar ul Hassan
Kussul, Nataliia
Lebourgeois, Valentine
Le Page, Michel
Newby, Terrence
Savin, Igor
Veron, Santiago Ramón
Koetz, Benjamin
Defourny, Pierre
Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2
title Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2
title_full Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2
title_fullStr Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2
title_full_unstemmed Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2
title_short Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2
title_sort building a data set over 12 globally distributed sites to support the development of agriculture monitoring applications with sentinel 2
topic Imágenes por Satélites
Agricultura
Sensores
Vigilancia
Satellite Imagery
Agriculture
Sensors
Monitoring
Sensores Remotos
Sentinel-2
Landsat 8
SPOT4
url https://www.mdpi.com/2072-4292/7/12/15815
http://hdl.handle.net/20.500.12123/5524
https://doi.org/10.3390/rs71215815
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