Articles | Volume 17, issue 1
https://doi.org/10.5194/ms-17-469-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
17 Apr 2026
Research article |
| 17 Apr 2026
| 17 Apr 2026
Cloud-based mapping of fragmented tobacco fields using multi-source remote sensing to support autonomous agricultural operations
Cited articles
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Awad, M.: Google Earth Engine (GEE) cloud computing based crop classification using radar, optical images and Support Vector Machine Algorithm (SVM), 2021 IEEE 3rd International Multidisciplinary Conference on Engineering Technology, https://doi.org/10.1109/IMCET53404.2021.9665519, 2021.
Bastiaansen, W. G. M., Molden, D. J., and Makin, I. W.: Remote sensing for irrigated agriculture: examples from research and possible applications, Agr. Water Manage., 46, 137–155, 2000.
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Bégué, A., Leroux, L., Soumaré, M., Faure, J.-F., Diouf, A. A., Augusseau, X., Touré, L., and Tonneau, J.-P.: Remote Sensing Products and Services in Support of Agricultural Public Policies in Africa: Overview and Challenges, Front. Sustain. Food Syst., 4, 58, https://doi.org/10.3389/fsufs.2020.00058, 2020.
