Build reproducible watershed modeling pipelines in Python.

What you'll find here

Watershed Modeling is a focused reference for automating hydrologic workflows in Python. Every page is built around concrete, reproducible patterns: which library to reach for, why a routing algorithm behaves the way it does on a given terrain, and how to wrap it in a defensible pipeline with logging, idempotency, and topology validation.

Whether you're moving from desktop GIS to a code-driven pipeline, integrating LiDAR into an operational workflow, or scaling watershed delineation across a continent of tiles, the content here favours the algorithmic depth and engineering rigor that production agency-grade work demands — not surface-level tutorials.

Browse the content

Three pillar areas cover the full hydrologic pipeline from raw elevation data through hydrologically sound catchments. Each section drills down into specific implementation guides with code, validation strategies, and operational pitfalls.