Remote sensing and cropping practices : a review

Autores
Bégué, Agnès; Arvor, Damien; Bellon, Beatriz; Betbeder, Julie; Abelleyra, Diego de; Ferraz, Rodrigo P. D.; Lebourgeois, Valentine; Verón, Santiago R.; Lelong, Camille; Simões, Margareth
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Bégué, Agnès. Maison de la Télédétection. CIRAD. UMR TETIS. Montpellier, France.
Fil: Arvor, Damien. Univ. Rennes. CNRS. Rennes, France.
Fil: Bellon, Beatriz. Maison de la Télédétection. CIRAD. UMR TETIS. Montpellier, France.
Fil: Betbeder, Julie. Univ. Montpellier. CIRAD. Montpellier, France.
Fil: Abelleyra, Diego de. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua. Hurlingham, Buenos Aires, Argentina.
Fil: Ferraz, Rodrigo P. D. EMBRAPA Embrapa Solos. Rio de Janeiro, Brazil.
Fil: Lebourgeois, Valentine. Maison de la Télédétection. CIRAD. UMR TETIS. Montpellier, France.
Fil: Verón, Santiago R. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua. Hurlingham, Buenos Aires, Argentina.
Fil: Lelong, Camille. Maison de la Télédétection. CIRAD. UMR TETIS. Montpellier, France.
Fil: Simões, Margareth. EMBRAPA Embrapa Solos. Rio de Janeiro, Brazil.
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.
grafs., fot.
Fuente
Remote Sensing
Vol.10, no.1
2-32
http://www.mdpi.com
Materia
CROPPING SYSTEM
CROP SUCCESSION
ROTATION
CROPPING PATTERN
MULTIPLE CROPPING
AGROFORESTRY
IRRIGATION
SOIL TILLAGE
HARVEST
INTERCROPPING
FALLOW
Nivel de accesibilidad
acceso abierto
Condiciones de uso
acceso abierto
Repositorio
FAUBA Digital (UBA-FAUBA)
Institución
Universidad de Buenos Aires. Facultad de Agronomía
OAI Identificador
snrd:2018begue

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oai_identifier_str snrd:2018begue
network_acronym_str FAUBA
repository_id_str 2729
network_name_str FAUBA Digital (UBA-FAUBA)
spelling Remote sensing and cropping practices : a reviewBégué, AgnèsArvor, DamienBellon, BeatrizBetbeder, JulieAbelleyra, Diego deFerraz, Rodrigo P. D.Lebourgeois, ValentineVerón, Santiago R.Lelong, CamilleSimões, MargarethCROPPING SYSTEMCROP SUCCESSIONROTATIONCROPPING PATTERNMULTIPLE CROPPINGAGROFORESTRYIRRIGATIONSOIL TILLAGEHARVESTINTERCROPPINGFALLOWFil: Bégué, Agnès. Maison de la Télédétection. CIRAD. UMR TETIS. Montpellier, France.Fil: Arvor, Damien. Univ. Rennes. CNRS. Rennes, France.Fil: Bellon, Beatriz. Maison de la Télédétection. CIRAD. UMR TETIS. Montpellier, France.Fil: Betbeder, Julie. Univ. Montpellier. CIRAD. Montpellier, France.Fil: Abelleyra, Diego de. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua. Hurlingham, Buenos Aires, Argentina.Fil: Ferraz, Rodrigo P. D. EMBRAPA Embrapa Solos. Rio de Janeiro, Brazil.Fil: Lebourgeois, Valentine. Maison de la Télédétection. CIRAD. UMR TETIS. Montpellier, France.Fil: Verón, Santiago R. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua. Hurlingham, Buenos Aires, Argentina.Fil: Lelong, Camille. Maison de la Télédétection. CIRAD. UMR TETIS. Montpellier, France.Fil: Simões, Margareth. EMBRAPA Embrapa Solos. Rio de Janeiro, Brazil.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.grafs., fot.2018info:eu-repo/semantics/articlepublishedVersioninfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfdoi:10.3390/rs10010099issn:2072-4292http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2018begueRemote SensingVol.10, no.12-32http://www.mdpi.comreponame:FAUBA Digital (UBA-FAUBA)instname:Universidad de Buenos Aires. Facultad de Agronomíaenginfo:eu-repo/semantics/openAccessopenAccesshttp://ri.agro.uba.ar/greenstone3/library/page/biblioteca#section42025-09-29T13:42:05Zsnrd:2018begueinstacron:UBA-FAUBAInstitucionalhttp://ri.agro.uba.ar/Universidad públicaNo correspondehttp://ri.agro.uba.ar/greenstone3/oaiserver?verb=ListSetsmartino@agro.uba.ar;berasa@agro.uba.ar ArgentinaNo correspondeNo correspondeNo correspondeopendoar:27292025-09-29 13:42:06.455FAUBA Digital (UBA-FAUBA) - Universidad de Buenos Aires. Facultad de Agronomíafalse
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
CROPPING SYSTEM
CROP SUCCESSION
ROTATION
CROPPING PATTERN
MULTIPLE CROPPING
AGROFORESTRY
IRRIGATION
SOIL TILLAGE
HARVEST
INTERCROPPING
FALLOW
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
Abelleyra, Diego de
Ferraz, Rodrigo P. D.
Lebourgeois, Valentine
Verón, Santiago R.
Lelong, Camille
Simões, Margareth
author Bégué, Agnès
author_facet Bégué, Agnès
Arvor, Damien
Bellon, Beatriz
Betbeder, Julie
Abelleyra, Diego de
Ferraz, Rodrigo P. D.
Lebourgeois, Valentine
Verón, Santiago R.
Lelong, Camille
Simões, Margareth
author_role author
author2 Arvor, Damien
Bellon, Beatriz
Betbeder, Julie
Abelleyra, Diego de
Ferraz, Rodrigo P. D.
Lebourgeois, Valentine
Verón, Santiago R.
Lelong, Camille
Simões, Margareth
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv CROPPING SYSTEM
CROP SUCCESSION
ROTATION
CROPPING PATTERN
MULTIPLE CROPPING
AGROFORESTRY
IRRIGATION
SOIL TILLAGE
HARVEST
INTERCROPPING
FALLOW
topic CROPPING SYSTEM
CROP SUCCESSION
ROTATION
CROPPING PATTERN
MULTIPLE CROPPING
AGROFORESTRY
IRRIGATION
SOIL TILLAGE
HARVEST
INTERCROPPING
FALLOW
dc.description.none.fl_txt_mv Fil: Bégué, Agnès. Maison de la Télédétection. CIRAD. UMR TETIS. Montpellier, France.
Fil: Arvor, Damien. Univ. Rennes. CNRS. Rennes, France.
Fil: Bellon, Beatriz. Maison de la Télédétection. CIRAD. UMR TETIS. Montpellier, France.
Fil: Betbeder, Julie. Univ. Montpellier. CIRAD. Montpellier, France.
Fil: Abelleyra, Diego de. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua. Hurlingham, Buenos Aires, Argentina.
Fil: Ferraz, Rodrigo P. D. EMBRAPA Embrapa Solos. Rio de Janeiro, Brazil.
Fil: Lebourgeois, Valentine. Maison de la Télédétection. CIRAD. UMR TETIS. Montpellier, France.
Fil: Verón, Santiago R. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua. Hurlingham, Buenos Aires, Argentina.
Fil: Lelong, Camille. Maison de la Télédétection. CIRAD. UMR TETIS. Montpellier, France.
Fil: Simões, Margareth. EMBRAPA Embrapa Solos. Rio de Janeiro, Brazil.
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.
grafs., fot.
description Fil: Bégué, Agnès. Maison de la Télédétection. CIRAD. UMR TETIS. Montpellier, France.
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
publishedVersion
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 doi:10.3390/rs10010099
issn:2072-4292
http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2018begue
identifier_str_mv doi:10.3390/rs10010099
issn:2072-4292
url http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2018begue
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
openAccess
http://ri.agro.uba.ar/greenstone3/library/page/biblioteca#section4
eu_rights_str_mv openAccess
rights_invalid_str_mv openAccess
http://ri.agro.uba.ar/greenstone3/library/page/biblioteca#section4
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Remote Sensing
Vol.10, no.1
2-32
http://www.mdpi.com
reponame:FAUBA Digital (UBA-FAUBA)
instname:Universidad de Buenos Aires. Facultad de Agronomía
reponame_str FAUBA Digital (UBA-FAUBA)
collection FAUBA Digital (UBA-FAUBA)
instname_str Universidad de Buenos Aires. Facultad de Agronomía
repository.name.fl_str_mv FAUBA Digital (UBA-FAUBA) - Universidad de Buenos Aires. Facultad de Agronomía
repository.mail.fl_str_mv martino@agro.uba.ar;berasa@agro.uba.ar
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