Employing K-means clustering to reconstruct missing water surface elevations in LiDAR digital elevation models for hydrodynamic simulation.
- DOI
- 10.1016/j.watres.2026.125409
- Published
- 2026 Apr 1
- Container
- Water research
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.watres.2026.125409,
title = {Employing K-means clustering to reconstruct missing water surface elevations in LiDAR digital elevation models for hydrodynamic simulation.},
author = {Liu L and Koshiba T and Wada K and Chen X and Chang C and Matsui H and Ono S and Kawaike K},
year = {2026},
journal = {Water research},
doi = {10.1016/j.watres.2026.125409},
url = {https://doi.org/10.1016/j.watres.2026.125409}
}RIS
TY - JOUR TI - Employing K-means clustering to reconstruct missing water surface elevations in LiDAR digital elevation models for hydrodynamic simulation. AU - Liu L AU - Koshiba T AU - Wada K AU - Chen X AU - Chang C AU - Matsui H AU - Ono S AU - Kawaike K PY - 2026 JO - Water research DO - 10.1016/j.watres.2026.125409 UR - https://doi.org/10.1016/j.watres.2026.125409 ER -
APA
L, L., T, K., K, W., X, C., C, C., H, M., S, O., & K, K. (2026). Employing K-means clustering to reconstruct missing water surface elevations in LiDAR digital elevation models for hydrodynamic simulation.. Water research. https://doi.org/10.1016/j.watres.2026.125409
Source records
- pubmed · retrieved 2026-11-10T12:21:24.698Z