Sub-monthly time scale forecasting of harmful algal blooms intensity in Lake Erie using remote sensing and machine learning
- DOI
- 10.1016/j.scitotenv.2023.165781
- Published
- 2023-11
- Container
- Science of The Total Environment
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.scitotenv.2023.165781,
title = {Sub-monthly time scale forecasting of harmful algal blooms intensity in Lake Erie using remote sensing and machine learning},
author = {Abhinav Gupta and Mohamed M. Hantush and Rao S. Govindaraju},
year = {2023},
journal = {Science of The Total Environment},
doi = {10.1016/j.scitotenv.2023.165781},
url = {https://doi.org/10.1016/j.scitotenv.2023.165781}
}RIS
TY - JOUR TI - Sub-monthly time scale forecasting of harmful algal blooms intensity in Lake Erie using remote sensing and machine learning AU - Abhinav Gupta AU - Mohamed M. Hantush AU - Rao S. Govindaraju PY - 2023 JO - Science of The Total Environment DO - 10.1016/j.scitotenv.2023.165781 UR - https://doi.org/10.1016/j.scitotenv.2023.165781 ER -
APA
Gupta, A., Hantush, M. M., & Govindaraju, R. S. (2023). Sub-monthly time scale forecasting of harmful algal blooms intensity in Lake Erie using remote sensing and machine learning. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2023.165781
Source records
- crossref · retrieved 2026-09-26T15:15:24.759Z