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Remote Sensing and Cropping Practices: A Review

Agnès BéguéCIRAD, UMR TETIS, Maison de la Télédétection, 500 rue J.-F. Breton, 34093 Montpellier, FranceDamien ArvorCNRS, UMR 6554 LETG-Univ. Rennes 2, 35043 Rennes, FranceBeatriz BellónCIRAD, UMR TETIS, Maison de la Télédétection, 500 rue J.-F. Breton, 34093 Montpellier, FranceJulie BetbederCIRAD, UPR Forests & Societies, 34398 Montpellier, FranceDiego de AbelleyraR. P. D. FerrazEMBRAPA Embrapa Solos, Rio de Janeiro 22460-000, BrazilValentine LebourgeoisCIRAD, UMR TETIS, Maison de la Télédétection, 500 rue J.-F. Breton, 34093 Montpellier, FranceCamille LelongTerritoiresMargareth SimõesEMBRAPA Embrapa Solos, Rio de Janeiro 22460-000, BrazilSantiago R. VerónFacultad de Agronomia—Universidad de Buenos Aires and CONICET, Buenos Aires 1417, Argentina
2018en
ABI

Аннотация

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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