Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2
- Autores
- 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; Verón, Santiago Ramón; Koetz, Benjamin; Defourny, Pierre
- Año de publicación
- 2015
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
Fil: Bontemps, Sophie. Université Catholique de Louvain; Bélgica
Fil: Arias, Marcela. Universite de Toulose - Le Mirail; Francia
Fil: Cara, Cosmin. CS Romania S.A.; Rumania
Fil: Dedieu, Gérard. Universite de Toulose - Le Mirail; Francia
Fil: Guzzonato, Eric. CS Systèmes d’Information; Francia
Fil: Hagolle, Olivier. Universite de Toulose - Le Mirail; Francia
Fil: Inglada, Jordi. Universite de Toulose - Le Mirail; Francia
Fil: Matton, Nicolas. Université Catholique de Louvain; Bélgica
Fil: Morin, David. Universite de Toulose - Le Mirail; 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; Bélgica
Fil: Valero, Silvia. Universite de Toulose - Le Mirail; 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; República de China
Fil: de Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; Argentina
Fil: Diarra, Alhousseine. Université Cadi Ayyad; 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; 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; Ucrania
Fil: Lebourgeois, Valentine. Centre de Coopération Internationale en Recherche Agronomique pour le Développerment; Francia
Fil: Le Page, Michel. Université Cadi Ayyad; Marruecos. Universite de Toulose - Le Mirail; Francia
Fil: Newby, Terrence. Agricultural Research Council; Sudáfrica
Fil: Savin, Igor. V.V. Dokuchaev Soil Science Institute; Rusia
Fil: Verón, Santiago Ramón. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; Argentina
Fil: Koetz, Benjamin. European Space Agency. European Space Research Institute; Italia
Fil: Defourny, Pierre. Université Catholique de Louvain; Bélgica - Materia
-
AGRICULTURE MONITORING
SATELLITE TIME SERIES
SENTINEL-2
JECAM
IN SITU DATA
SPOT4
LANDSAT 8
GEOGLAM - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/44293
Ver los metadatos del registro completo
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Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2Bontemps, SophieArias, MarcelaCara, CosminDedieu, GérardGuzzonato, EricHagolle, OlivierInglada, JordiMatton, NicolasMorin, DavidPopescu, RamonaRabaute, ThierrySavinaud, MickaelSepulcre, GuadalupeValero, SilviaAhmad, IjazBégué, AgnèsWu, Bingfangde Abelleyra, DiegoDiarra, AlhousseineDupuy, StéphaneFrench, AndrewAkhtar, Ibrar ul HassanKussul, NataliiaLebourgeois, ValentineLe Page, MichelNewby, TerrenceSavin, IgorVerón, Santiago RamónKoetz, BenjaminDefourny, PierreAGRICULTURE MONITORINGSATELLITE TIME SERIESSENTINEL-2JECAMIN SITU DATASPOT4LANDSAT 8GEOGLAMhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Developing 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.Fil: Bontemps, Sophie. Université Catholique de Louvain; BélgicaFil: Arias, Marcela. Universite de Toulose - Le Mirail; FranciaFil: Cara, Cosmin. CS Romania S.A.; RumaniaFil: Dedieu, Gérard. Universite de Toulose - Le Mirail; FranciaFil: Guzzonato, Eric. CS Systèmes d’Information; FranciaFil: Hagolle, Olivier. Universite de Toulose - Le Mirail; FranciaFil: Inglada, Jordi. Universite de Toulose - Le Mirail; FranciaFil: Matton, Nicolas. Université Catholique de Louvain; BélgicaFil: Morin, David. Universite de Toulose - Le Mirail; FranciaFil: Popescu, Ramona. CS Romania S.A.; RumaniaFil: Rabaute, Thierry. CS Systèmes d’Information; FranciaFil: Savinaud, Mickael. CS Systèmes d’Information; FranciaFil: Sepulcre, Guadalupe. Université Catholique de Louvain; BélgicaFil: Valero, Silvia. Universite de Toulose - Le Mirail; FranciaFil: Ahmad, Ijaz. Pakistan Space and Upper Atmosphere Research Commission. Space Applications Research Complex. National Agriculture Information Center Directorate; PakistánFil: Bégué, Agnès. Centre de Coopération Internationale en Recherche Agronomique pour le Développerment; FranciaFil: Wu, Bingfang. Chinese Academy of Sciences; República de ChinaFil: de Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; ArgentinaFil: Diarra, Alhousseine. Université Cadi Ayyad; MarruecosFil: Dupuy, Stéphane. Centre de Coopération Internationale en Recherche Agronomique pour le Développerment; FranciaFil: French, Andrew. United States Department of Agriculture. Agricultural Research Service; ArgentinaFil: Akhtar, Ibrar ul Hassan. Pakistan Space and Upper Atmosphere Research Commission. Space Applications Research Complex. National Agriculture Information Center Directorate; PakistánFil: Kussul, Nataliia. National Academy of Sciences of Ukraine; UcraniaFil: Lebourgeois, Valentine. Centre de Coopération Internationale en Recherche Agronomique pour le Développerment; FranciaFil: Le Page, Michel. Université Cadi Ayyad; Marruecos. Universite de Toulose - Le Mirail; FranciaFil: Newby, Terrence. Agricultural Research Council; SudáfricaFil: Savin, Igor. V.V. Dokuchaev Soil Science Institute; RusiaFil: Verón, Santiago Ramón. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; ArgentinaFil: Koetz, Benjamin. European Space Agency. European Space Research Institute; ItaliaFil: Defourny, Pierre. Université Catholique de Louvain; BélgicaMDPI AG2015-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/44293Bontemps, 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; MDPI AG; Remote Sensing; 7; 12; 12-2015; 16062-160902072-42922072-4292CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/2072-4292/7/12/15815info:eu-repo/semantics/altIdentifier/doi/10.3390/rs71215815info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:23:50Zoai:ri.conicet.gov.ar:11336/44293instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:23:50.65CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
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 |
spellingShingle |
Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2 Bontemps, Sophie AGRICULTURE MONITORING SATELLITE TIME SERIES SENTINEL-2 JECAM IN SITU DATA SPOT4 LANDSAT 8 GEOGLAM |
title_short |
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_sort |
Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2 |
dc.creator.none.fl_str_mv |
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 Verón, Santiago Ramón Koetz, Benjamin Defourny, Pierre |
author |
Bontemps, Sophie |
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 Verón, Santiago Ramón Koetz, Benjamin Defourny, Pierre |
author_role |
author |
author2 |
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 Verón, Santiago Ramón Koetz, Benjamin Defourny, Pierre |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
AGRICULTURE MONITORING SATELLITE TIME SERIES SENTINEL-2 JECAM IN SITU DATA SPOT4 LANDSAT 8 GEOGLAM |
topic |
AGRICULTURE MONITORING SATELLITE TIME SERIES SENTINEL-2 JECAM IN SITU DATA SPOT4 LANDSAT 8 GEOGLAM |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
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. Fil: Bontemps, Sophie. Université Catholique de Louvain; Bélgica Fil: Arias, Marcela. Universite de Toulose - Le Mirail; Francia Fil: Cara, Cosmin. CS Romania S.A.; Rumania Fil: Dedieu, Gérard. Universite de Toulose - Le Mirail; Francia Fil: Guzzonato, Eric. CS Systèmes d’Information; Francia Fil: Hagolle, Olivier. Universite de Toulose - Le Mirail; Francia Fil: Inglada, Jordi. Universite de Toulose - Le Mirail; Francia Fil: Matton, Nicolas. Université Catholique de Louvain; Bélgica Fil: Morin, David. Universite de Toulose - Le Mirail; 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; Bélgica Fil: Valero, Silvia. Universite de Toulose - Le Mirail; 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; República de China Fil: de Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; Argentina Fil: Diarra, Alhousseine. Université Cadi Ayyad; 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; 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; Ucrania Fil: Lebourgeois, Valentine. Centre de Coopération Internationale en Recherche Agronomique pour le Développerment; Francia Fil: Le Page, Michel. Université Cadi Ayyad; Marruecos. Universite de Toulose - Le Mirail; Francia Fil: Newby, Terrence. Agricultural Research Council; Sudáfrica Fil: Savin, Igor. V.V. Dokuchaev Soil Science Institute; Rusia Fil: Verón, Santiago Ramón. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; Argentina Fil: Koetz, Benjamin. European Space Agency. European Space Research Institute; Italia Fil: Defourny, Pierre. Université Catholique de Louvain; Bélgica |
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 “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. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-12 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/44293 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; MDPI AG; Remote Sensing; 7; 12; 12-2015; 16062-16090 2072-4292 2072-4292 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/44293 |
identifier_str_mv |
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; MDPI AG; Remote Sensing; 7; 12; 12-2015; 16062-16090 2072-4292 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/2072-4292/7/12/15815 info:eu-repo/semantics/altIdentifier/doi/10.3390/rs71215815 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
MDPI AG |
publisher.none.fl_str_mv |
MDPI AG |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844614234248314880 |
score |
13.070432 |