Remote sensing and cropping practices: a review

Autores
Bégue, Agnes; Arvor, Damian; Bellon, Beatriz; Betbeder, Julie; De Abelleyra, Diego; Ferraz, Rodrigo; Lebourgeois, Valentine; Lelong, Camille; Simoes, Margareth; Veron, Santiago Ramón
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
For agronomic, environmental, and economic reasons, the need for spatialized information about agricultural practices is expected to rapidly increase. In this context, we reviewed the literature on remote sensing for mapping cropping practices. The reviewed studies were grouped into three categories of practices: crop succession (crop rotation and fallowing), cropping pattern (single tree crop planting pattern, sequential cropping, and intercropping/agroforestry), and cropping techniques (irrigation, soil tillage, harvest and post-harvest practices, crop varieties, and agro-ecological infrastructures). We observed that the majority of the studies were exploratory investigations, tested on a local scale with a high dependence on ground data, and used only one type of remote sensing sensor. Furthermore, to be correctly implemented, most of the methods relied heavily on local knowledge on the management practices, the environment, and the biological material. These limitations point to future research directions, such as the use of land stratification, multi-sensor data combination, and expert knowledge-driven methods. Finally, the new spatial technologies, and particularly the Sentinel constellation, are expected to improve the monitoring of cropping practices in the challenging context of food security and better management of agro-environmental issues
Inst. de Clima y Agua
Fil: Bégue, Agnes. CIRAD, UMR TETIS; Francia. CIRAD, Université Montpellier, Francia
Fil: Arvor, Damian. Centre National de la Recherche Scientifique (CNRS); Francia
Fil: Bellon, Beatriz. CIRAD, UMR TETIS; Francia. CIRAD, Université Montpellier, Francia
Fil: Betbeder, Julie. CIRAD, Université Montpellier, Francia. CIRAD, UPR Forests & Societies; Francia
Fil: De Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Ferraz, Rodrigo. EMBRAPA Solos; Brasil
Fil: Lebourgeois, Valentine. CIRAD, UMR TETIS; Francia. CIRAD, Université Montpellier, Francia
Fil: Lelong, Camille. CIRAD, UMR TETIS; Francia. CIRAD, Université Montpellier, Francia
Fil: Simoes, Margareth. EMBRAPA Solos; Brasil. Rio de Janeiro State University; Brasil
Fil: Verón, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Universidad de Buenos Aires. Facultad de Agronomía; Argentina
Fuente
Remote Sensing 10 (1) : 99 (2018)
Materia
Teledetección
Sistemas de Cultivo
Ordenación de Cultivos
Remote Sensing
Cropping Systems
Cropping Patterns
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/2158
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spelling Remote sensing and cropping practices: a reviewBégue, AgnesArvor, DamianBellon, BeatrizBetbeder, JulieDe Abelleyra, DiegoFerraz, RodrigoLebourgeois, ValentineLelong, CamilleSimoes, MargarethVeron, Santiago RamónTeledetecciónSistemas de CultivoOrdenación de CultivosRemote SensingCropping SystemsCropping PatternsFor agronomic, environmental, and economic reasons, the need for spatialized information about agricultural practices is expected to rapidly increase. In this context, we reviewed the literature on remote sensing for mapping cropping practices. The reviewed studies were grouped into three categories of practices: crop succession (crop rotation and fallowing), cropping pattern (single tree crop planting pattern, sequential cropping, and intercropping/agroforestry), and cropping techniques (irrigation, soil tillage, harvest and post-harvest practices, crop varieties, and agro-ecological infrastructures). We observed that the majority of the studies were exploratory investigations, tested on a local scale with a high dependence on ground data, and used only one type of remote sensing sensor. Furthermore, to be correctly implemented, most of the methods relied heavily on local knowledge on the management practices, the environment, and the biological material. These limitations point to future research directions, such as the use of land stratification, multi-sensor data combination, and expert knowledge-driven methods. Finally, the new spatial technologies, and particularly the Sentinel constellation, are expected to improve the monitoring of cropping practices in the challenging context of food security and better management of agro-environmental issuesInst. de Clima y AguaFil: Bégue, Agnes. CIRAD, UMR TETIS; Francia. CIRAD, Université Montpellier, FranciaFil: Arvor, Damian. Centre National de la Recherche Scientifique (CNRS); FranciaFil: Bellon, Beatriz. CIRAD, UMR TETIS; Francia. CIRAD, Université Montpellier, FranciaFil: Betbeder, Julie. CIRAD, Université Montpellier, Francia. CIRAD, UPR Forests & Societies; FranciaFil: De Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; ArgentinaFil: Ferraz, Rodrigo. EMBRAPA Solos; BrasilFil: Lebourgeois, Valentine. CIRAD, UMR TETIS; Francia. CIRAD, Université Montpellier, FranciaFil: Lelong, Camille. CIRAD, UMR TETIS; Francia. CIRAD, Université Montpellier, FranciaFil: Simoes, Margareth. EMBRAPA Solos; Brasil. Rio de Janeiro State University; BrasilFil: Verón, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Universidad de Buenos Aires. Facultad de Agronomía; Argentina2018-04-03T17:26:13Z2018-04-03T17:26:13Z2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/2158http://www.mdpi.com/2072-4292/10/1/992072-4292https://doi.org/10.3390/rs10010099Remote Sensing 10 (1) : 99 (2018)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-29T13:44:17Zoai:localhost:20.500.12123/2158instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:17.339INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Remote sensing and cropping practices: a review
title Remote sensing and cropping practices: a review
spellingShingle Remote sensing and cropping practices: a review
Bégue, Agnes
Teledetección
Sistemas de Cultivo
Ordenación de Cultivos
Remote Sensing
Cropping Systems
Cropping Patterns
title_short Remote sensing and cropping practices: a review
title_full Remote sensing and cropping practices: a review
title_fullStr Remote sensing and cropping practices: a review
title_full_unstemmed Remote sensing and cropping practices: a review
title_sort Remote sensing and cropping practices: a review
dc.creator.none.fl_str_mv Bégue, Agnes
Arvor, Damian
Bellon, Beatriz
Betbeder, Julie
De Abelleyra, Diego
Ferraz, Rodrigo
Lebourgeois, Valentine
Lelong, Camille
Simoes, Margareth
Veron, Santiago Ramón
author Bégue, Agnes
author_facet Bégue, Agnes
Arvor, Damian
Bellon, Beatriz
Betbeder, Julie
De Abelleyra, Diego
Ferraz, Rodrigo
Lebourgeois, Valentine
Lelong, Camille
Simoes, Margareth
Veron, Santiago Ramón
author_role author
author2 Arvor, Damian
Bellon, Beatriz
Betbeder, Julie
De Abelleyra, Diego
Ferraz, Rodrigo
Lebourgeois, Valentine
Lelong, Camille
Simoes, Margareth
Veron, Santiago Ramón
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Teledetección
Sistemas de Cultivo
Ordenación de Cultivos
Remote Sensing
Cropping Systems
Cropping Patterns
topic Teledetección
Sistemas de Cultivo
Ordenación de Cultivos
Remote Sensing
Cropping Systems
Cropping Patterns
dc.description.none.fl_txt_mv For agronomic, environmental, and economic reasons, the need for spatialized information about agricultural practices is expected to rapidly increase. In this context, we reviewed the literature on remote sensing for mapping cropping practices. The reviewed studies were grouped into three categories of practices: crop succession (crop rotation and fallowing), cropping pattern (single tree crop planting pattern, sequential cropping, and intercropping/agroforestry), and cropping techniques (irrigation, soil tillage, harvest and post-harvest practices, crop varieties, and agro-ecological infrastructures). We observed that the majority of the studies were exploratory investigations, tested on a local scale with a high dependence on ground data, and used only one type of remote sensing sensor. Furthermore, to be correctly implemented, most of the methods relied heavily on local knowledge on the management practices, the environment, and the biological material. These limitations point to future research directions, such as the use of land stratification, multi-sensor data combination, and expert knowledge-driven methods. Finally, the new spatial technologies, and particularly the Sentinel constellation, are expected to improve the monitoring of cropping practices in the challenging context of food security and better management of agro-environmental issues
Inst. de Clima y Agua
Fil: Bégue, Agnes. CIRAD, UMR TETIS; Francia. CIRAD, Université Montpellier, Francia
Fil: Arvor, Damian. Centre National de la Recherche Scientifique (CNRS); Francia
Fil: Bellon, Beatriz. CIRAD, UMR TETIS; Francia. CIRAD, Université Montpellier, Francia
Fil: Betbeder, Julie. CIRAD, Université Montpellier, Francia. CIRAD, UPR Forests & Societies; Francia
Fil: De Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Ferraz, Rodrigo. EMBRAPA Solos; Brasil
Fil: Lebourgeois, Valentine. CIRAD, UMR TETIS; Francia. CIRAD, Université Montpellier, Francia
Fil: Lelong, Camille. CIRAD, UMR TETIS; Francia. CIRAD, Université Montpellier, Francia
Fil: Simoes, Margareth. EMBRAPA Solos; Brasil. Rio de Janeiro State University; Brasil
Fil: Verón, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Universidad de Buenos Aires. Facultad de Agronomía; Argentina
description For agronomic, environmental, and economic reasons, the need for spatialized information about agricultural practices is expected to rapidly increase. In this context, we reviewed the literature on remote sensing for mapping cropping practices. The reviewed studies were grouped into three categories of practices: crop succession (crop rotation and fallowing), cropping pattern (single tree crop planting pattern, sequential cropping, and intercropping/agroforestry), and cropping techniques (irrigation, soil tillage, harvest and post-harvest practices, crop varieties, and agro-ecological infrastructures). We observed that the majority of the studies were exploratory investigations, tested on a local scale with a high dependence on ground data, and used only one type of remote sensing sensor. Furthermore, to be correctly implemented, most of the methods relied heavily on local knowledge on the management practices, the environment, and the biological material. These limitations point to future research directions, such as the use of land stratification, multi-sensor data combination, and expert knowledge-driven methods. Finally, the new spatial technologies, and particularly the Sentinel constellation, are expected to improve the monitoring of cropping practices in the challenging context of food security and better management of agro-environmental issues
publishDate 2018
dc.date.none.fl_str_mv 2018-04-03T17:26:13Z
2018-04-03T17:26:13Z
2018
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/20.500.12123/2158
http://www.mdpi.com/2072-4292/10/1/99
2072-4292
https://doi.org/10.3390/rs10010099
url http://hdl.handle.net/20.500.12123/2158
http://www.mdpi.com/2072-4292/10/1/99
https://doi.org/10.3390/rs10010099
identifier_str_mv 2072-4292
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv 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)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Remote Sensing 10 (1) : 99 (2018)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.559606

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