A reproducible pipeline for generating analysis-ready paddy-field segmentation datasets from cadastral vectors and Pléiades very-high-resolution imagery
- DOI
- 10.1016/j.mex.2026.104070
- Published
- 2026-12
- Container
- MethodsX
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.mex.2026.104070,
title = {A reproducible pipeline for generating analysis-ready paddy-field segmentation datasets from cadastral vectors and Pléiades very-high-resolution imagery},
author = {Herman Setiadi and Muhammad Zarlis and Edy Irwansyah and Yulyani Arifin},
year = {2026},
journal = {MethodsX},
doi = {10.1016/j.mex.2026.104070},
url = {https://doi.org/10.1016/j.mex.2026.104070}
}RIS
TY - JOUR TI - A reproducible pipeline for generating analysis-ready paddy-field segmentation datasets from cadastral vectors and Pléiades very-high-resolution imagery AU - Herman Setiadi AU - Muhammad Zarlis AU - Edy Irwansyah AU - Yulyani Arifin PY - 2026 JO - MethodsX DO - 10.1016/j.mex.2026.104070 UR - https://doi.org/10.1016/j.mex.2026.104070 ER -
APA
Setiadi, H., Zarlis, M., Irwansyah, E., & Arifin, Y. (2026). A reproducible pipeline for generating analysis-ready paddy-field segmentation datasets from cadastral vectors and Pléiades very-high-resolution imagery. MethodsX. https://doi.org/10.1016/j.mex.2026.104070
Source records
- crossref · retrieved 2026-09-25T10:40:28.026Z