confidence-duku/bakaano-hydro
A distributed hydrology-guided neural network model for streamflow prediction
Bakaano-Hydro helps hydrologists and water resource managers predict streamflow, especially in areas with limited measurement data. It takes in basin shapefiles, historical streamflow observations, and satellite data (like NDVI and tree cover) to produce reliable, spatially detailed streamflow predictions. This tool is for professionals who need accurate river flow forecasts for flood risk management, water allocation, and environmental monitoring.
Available on PyPI.
Use this if you need accurate, spatially-aware streamflow predictions in ungauged or data-scarce river basins, and you want predictions grounded in hydrological principles.
Not ideal if you require very rapid, real-time streamflow forecasts for immediate operational decisions without any computational setup, or if you prefer traditional lumped hydrological models exclusively.
Stars
13
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
Dependencies
29
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