Soil classification in the Sudan Savanna using sentinel products and topographic information with machine learning models

Win Sithu Maung, Ikazaki Kenta, Sakai Toru, Simporé Saïdou, Zerbo Lamine, Kone Nicolas

Open source

DOI
10.1038/s41598-026-46259-6
Published
2026-03-27
Container
Scientific Reports
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-46259-6,
  title = {Soil classification in the Sudan Savanna using sentinel products and topographic information with machine learning models},
  author = {Win Sithu Maung and Ikazaki Kenta and Sakai Toru and Simporé Saïdou and Zerbo Lamine and Kone Nicolas},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-46259-6},
  url = {https://doi.org/10.1038/s41598-026-46259-6}
}

RIS

TY  - JOUR
TI  - Soil classification in the Sudan Savanna using sentinel products and topographic information with machine learning models
AU  - Win Sithu Maung
AU  - Ikazaki Kenta
AU  - Sakai Toru
AU  - Simporé Saïdou
AU  - Zerbo Lamine
AU  - Kone Nicolas
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-46259-6
UR  - https://doi.org/10.1038/s41598-026-46259-6
ER  - 

APA

Maung, W. S., Kenta, I., Toru, S., Saïdou, S., Lamine, Z., & Nicolas, K. (2026). Soil classification in the Sudan Savanna using sentinel products and topographic information with machine learning models. Scientific Reports. https://doi.org/10.1038/s41598-026-46259-6

Source records