Disentangling spectral and environmental controls on inland river–lake water quality using satellite earth observation-driven optimized machine learning
- DOI
- 10.82444/warw.34304082.v1
- Published
- 2026
- Container
- Not recorded
- Publisher
- University of Warwick
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.82444/warw.34304082.v1,
title = {Disentangling spectral and environmental controls on inland river–lake water quality using satellite earth observation-driven optimized machine learning},
author = {Bazel Al-Shaibah and Xingpeng Liu and Ali R Al-Aizari and Zhijun Tong and Jiquan Zhang and Soroush Abolfathi and Hassan Alzahrani},
year = {2026},
doi = {10.82444/warw.34304082.v1},
url = {https://doi.org/10.82444/warw.34304082.v1}
}RIS
TY - JOUR TI - Disentangling spectral and environmental controls on inland river–lake water quality using satellite earth observation-driven optimized machine learning AU - Bazel Al-Shaibah AU - Xingpeng Liu AU - Ali R Al-Aizari AU - Zhijun Tong AU - Jiquan Zhang AU - Soroush Abolfathi AU - Hassan Alzahrani PY - 2026 DO - 10.82444/warw.34304082.v1 UR - https://doi.org/10.82444/warw.34304082.v1 ER -
APA
Al-Shaibah, B., Liu, X., Al-Aizari, A. R., Tong, Z., Zhang, J., Abolfathi, S., & Alzahrani, H. (2026). Disentangling spectral and environmental controls on inland river–lake water quality using satellite earth observation-driven optimized machine learning. https://doi.org/10.82444/warw.34304082.v1
Source records
- datacite · retrieved 2026-11-07T22:41:16.156Z