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Remote sensing and cropping practices : a review

Colaborador(es): Bégué, Agnès. Maison de la Télédétection. CIRAD. UMR TETIS. Montpellier, France. Univ. Montpellier. CIRAD. Montpellier, France | Arvor, Damien. Univ. Rennes. CNRS. Rennes, France | Bellon, Beatriz. Maison de la Télédétection. CIRAD. UMR TETIS. Montpellier, France. Univ. Montpellier. CIRAD. Montpellier, France | Betbeder, Julie. Univ. Montpellier. CIRAD. Montpellier, France. UPR Forests & Societies. CIRAD. Montpellier, France | Abelleyra, Diego de. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua. Hurlingham, Buenos Aires, Argentina | Ferraz, Rodrigo P. D. EMBRAPA Embrapa Solos. Rio de Janeiro, Brazil | Lebourgeois, Valentine. Maison de la Télédétection. CIRAD. UMR TETIS. Montpellier, France. Univ. Montpellier. CIRAD. Montpellier, France | Verón, Santiago R. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua. Hurlingham, Buenos Aires, Argentina. Universidad de Buenos Aires. Facultad de Agronomia. Buenos Aires, Argentina. CONICET - Universidad de Buenos Aires. Buenos Aires, Argentina | Lelong, Camille. Maison de la Télédétection. CIRAD. UMR TETIS. Montpellier, France. Univ. Montpellier. CIRAD. Montpellier, France | Simões, Margareth. EMBRAPA Embrapa Solos. Rio de Janeiro, Brazil. Rio de Janeiro State University (UERJ/FEN/DESC/PPGMA). Rio de Janeiro, Brazil.
ISSN: 2072-4292.Tipo de material: Artículos y capítulos. Recurso electrónico.Tema(s): CROPPING SYSTEM | CROP SUCCESSION | ROTATION | CROPPING PATTERN | MULTIPLE CROPPING | AGROFORESTRY | IRRIGATION | SOIL TILLAGE | HARVEST | INTERCROPPING | FALLOW | Recursos en línea: Haga clic para acceso en línea | LINK AL EDITOR En: Remote Sensing Vol.10, no.1 (2018), p.2-32, grafs., fot.Resumen: 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.
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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.

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