dc.creatorBégué, Agnès
dc.creatorArvor, Damien
dc.creatorBellon, Beatriz
dc.creatorBetbeder, Julie
dc.creatorde Abelleyra, Diego
dc.creatorFerraz, Rodrigo P. D.
dc.creatorLebourgeois, Valentine
dc.creatorLelong, Camille
dc.creatorSimões, Margareth
dc.creatorVerón, Santiago Ramón
dc.date.accessioned2020-02-05T19:20:56Z
dc.date.accessioned2022-10-15T00:14:08Z
dc.date.available2020-02-05T19:20:56Z
dc.date.available2022-10-15T00:14:08Z
dc.date.created2020-02-05T19:20:56Z
dc.date.issued2018-01
dc.identifierBégué, 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
dc.identifier2072-4292
dc.identifierhttp://hdl.handle.net/11336/96765
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4323505
dc.description.abstractFor 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.
dc.languageeng
dc.publisherMDPI AG
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/rs10010099
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/10/1/99
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAGROFORESTRY
dc.subjectCROP SUCCESSION
dc.subjectCROPPING PATTERN
dc.subjectCROPPING SYSTEM
dc.subjectFALLOW
dc.subjectHARVEST
dc.subjectINTERCROPPING
dc.subjectIRRIGATION
dc.subjectMULTIPLE CROPPING
dc.subjectROTATION
dc.subjectSOIL TILLAGE
dc.titleRemote sensing and cropping practices: A review
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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