Remote sensing and cropping practices: A review
- Autores
- Bégué, Agnès; Arvor, Damien; Bellon, Beatriz; Betbeder, Julie; de Abelleyra, Diego; Ferraz, Rodrigo P. D.; Lebourgeois, Valentine; Lelong, Camille; Simões, Margareth; Verón, 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.
Fil: Bégué, Agnès. Institut National de la Recherche Agronomique; Francia. Université Montpellier II; Francia
Fil: Arvor, Damien. Centre National de la Recherche Scientifique; Francia
Fil: Bellon, Beatriz. Institut National de la Recherche Agronomique; Francia. Université Montpellier II; Francia
Fil: Betbeder, Julie. Institut National de la Recherche Agronomique; Francia
Fil: de Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina. Instituto de Clima y Agua; Argentina
Fil: Ferraz, Rodrigo P. D.. Ministerio da Agricultura Pecuaria e Abastecimento de Brasil. Empresa Brasileira de Pesquisa Agropecuaria; Brasil
Fil: Lebourgeois, Valentine. Institut National de la Recherche Agronomique; Francia
Fil: Lelong, Camille. Institut National de la Recherche Agronomique; Francia
Fil: Simões, Margareth. Universidade do Estado de Rio do Janeiro; Brasil. Ministerio da Agricultura Pecuaria e Abastecimento de Brasil. Empresa Brasileira de Pesquisa Agropecuaria; Brasil
Fil: Verón, Santiago Ramón. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina - Materia
-
AGROFORESTRY
CROP SUCCESSION
CROPPING PATTERN
CROPPING SYSTEM
FALLOW
HARVEST
INTERCROPPING
IRRIGATION
MULTIPLE CROPPING
ROTATION
SOIL TILLAGE - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/96765
Ver los metadatos del registro completo
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CONICET Digital (CONICET) |
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Remote sensing and cropping practices: A reviewBégué, AgnèsArvor, DamienBellon, BeatrizBetbeder, Juliede Abelleyra, DiegoFerraz, Rodrigo P. D.Lebourgeois, ValentineLelong, CamilleSimões, MargarethVerón, Santiago RamónAGROFORESTRYCROP SUCCESSIONCROPPING PATTERNCROPPING SYSTEMFALLOWHARVESTINTERCROPPINGIRRIGATIONMULTIPLE CROPPINGROTATIONSOIL TILLAGEhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1For 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.Fil: Bégué, Agnès. Institut National de la Recherche Agronomique; Francia. Université Montpellier II; FranciaFil: Arvor, Damien. Centre National de la Recherche Scientifique; FranciaFil: Bellon, Beatriz. Institut National de la Recherche Agronomique; Francia. Université Montpellier II; FranciaFil: Betbeder, Julie. Institut National de la Recherche Agronomique; FranciaFil: de Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina. Instituto de Clima y Agua; ArgentinaFil: Ferraz, Rodrigo P. D.. Ministerio da Agricultura Pecuaria e Abastecimento de Brasil. Empresa Brasileira de Pesquisa Agropecuaria; BrasilFil: Lebourgeois, Valentine. Institut National de la Recherche Agronomique; FranciaFil: Lelong, Camille. Institut National de la Recherche Agronomique; FranciaFil: Simões, Margareth. Universidade do Estado de Rio do Janeiro; Brasil. Ministerio da Agricultura Pecuaria e Abastecimento de Brasil. Empresa Brasileira de Pesquisa Agropecuaria; BrasilFil: Verón, Santiago Ramón. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; ArgentinaMDPI AG2018-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/96765Bégué, Agnès; Arvor, Damien; Bellon, Beatriz; Betbeder, Julie; de Abelleyra, Diego; et al.; Remote sensing and cropping practices: A review; MDPI AG; Remote Sensing; 10; 1; 1-2018; 1-322072-4292CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3390/rs10010099info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/10/1/99info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:39:35Zoai:ri.conicet.gov.ar:11336/96765instacron: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 09:39:35.611CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
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 Bégué, Agnès AGROFORESTRY CROP SUCCESSION CROPPING PATTERN CROPPING SYSTEM FALLOW HARVEST INTERCROPPING IRRIGATION MULTIPLE CROPPING ROTATION SOIL TILLAGE |
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 |
Bégué, Agnès Arvor, Damien Bellon, Beatriz Betbeder, Julie de Abelleyra, Diego Ferraz, Rodrigo P. D. Lebourgeois, Valentine Lelong, Camille Simões, Margareth Verón, Santiago Ramón |
author |
Bégué, Agnès |
author_facet |
Bégué, Agnès Arvor, Damien Bellon, Beatriz Betbeder, Julie de Abelleyra, Diego Ferraz, Rodrigo P. D. Lebourgeois, Valentine Lelong, Camille Simões, Margareth Verón, Santiago Ramón |
author_role |
author |
author2 |
Arvor, Damien Bellon, Beatriz Betbeder, Julie de Abelleyra, Diego Ferraz, Rodrigo P. D. Lebourgeois, Valentine Lelong, Camille Simões, Margareth Verón, Santiago Ramón |
author2_role |
author author author author author author author author author |
dc.subject.none.fl_str_mv |
AGROFORESTRY CROP SUCCESSION CROPPING PATTERN CROPPING SYSTEM FALLOW HARVEST INTERCROPPING IRRIGATION MULTIPLE CROPPING ROTATION SOIL TILLAGE |
topic |
AGROFORESTRY CROP SUCCESSION CROPPING PATTERN CROPPING SYSTEM FALLOW HARVEST INTERCROPPING IRRIGATION MULTIPLE CROPPING ROTATION SOIL TILLAGE |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
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. Fil: Bégué, Agnès. Institut National de la Recherche Agronomique; Francia. Université Montpellier II; Francia Fil: Arvor, Damien. Centre National de la Recherche Scientifique; Francia Fil: Bellon, Beatriz. Institut National de la Recherche Agronomique; Francia. Université Montpellier II; Francia Fil: Betbeder, Julie. Institut National de la Recherche Agronomique; Francia Fil: de Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina. Instituto de Clima y Agua; Argentina Fil: Ferraz, Rodrigo P. D.. Ministerio da Agricultura Pecuaria e Abastecimento de Brasil. Empresa Brasileira de Pesquisa Agropecuaria; Brasil Fil: Lebourgeois, Valentine. Institut National de la Recherche Agronomique; Francia Fil: Lelong, Camille. Institut National de la Recherche Agronomique; Francia Fil: Simões, Margareth. Universidade do Estado de Rio do Janeiro; Brasil. Ministerio da Agricultura Pecuaria e Abastecimento de Brasil. Empresa Brasileira de Pesquisa Agropecuaria; Brasil Fil: Verón, Santiago Ramón. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; 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 |
2018-01 |
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/11336/96765 Bégué, Agnès; Arvor, Damien; Bellon, Beatriz; Betbeder, Julie; de Abelleyra, Diego; et al.; Remote sensing and cropping practices: A review; MDPI AG; Remote Sensing; 10; 1; 1-2018; 1-32 2072-4292 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/96765 |
identifier_str_mv |
Bégué, Agnès; Arvor, Damien; Bellon, Beatriz; Betbeder, Julie; de Abelleyra, Diego; et al.; Remote sensing and cropping practices: A review; MDPI AG; Remote Sensing; 10; 1; 1-2018; 1-32 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/doi/10.3390/rs10010099 info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/10/1/99 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/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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1844613252767547392 |
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13.070432 |