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Bibliographic Details
Main Authors:	Akinade, Basit A., Amanambu, Amobichukwu C., Davis, M. A. Lisa
Format:	Recurso digital
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Published:	Zenodo 2026
Subjects:	flood detection early warning sensor network design greedy submodular optimization HUC10 watersheds National Water Model USGS streamgages hydrometric network hydrology water resources
Online Access:	https://doi.org/10.5281/zenodo.20389784
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Reproducible Python codebase for a basin-by-basin, multi-sensor flood detection network design framework. Implements greedy submodular optimization for sensor placement across HUC10 watersheds, USGS gage integration analysis (Sentinel / Cascade Sentinel / Gap-Filler / Validator classification), and validation against NOAA National Water Model Retrospective v3.0 streamflow records.