Terrain-aware solar illumination modeling using DEMs and orbital sun geometry.
Project description
solshade is a Python toolkit for simulating solar radiation across landscapes, accounting for terrain shadows, solar angles, and orbital geometry. It’s designed for interdisciplinary research at the intersection of astronomy, glaciology, botany, and geology.
What does solshade do?
- Computes per-pixel solar exposure over time from a DEM
- Generates terrain-aware horizon maps to determine shadowing
- Uses precise solar ephemerides (via Skyfield)
- Calculates:
- Total annual insolation
- Date of maximum sunlight
- Mean solar incidence angle
- Terrain shading based on real orbital paths
Example Applications
- Modeling plant growing seasons across topography
- Studying microhabitats in extreme environments
- Predicting snowmelt timing in complex terrain
- Understanding glacial melt and shadowed regions
Project Status
This project is in early development.
Expect breaking changes, experiments, and rapid iteration.
License
MIT License — see LICENSE file.
Acknowledgments
Inspired by many interesting conversations with Anna O'Flynn, Anthony Zerafa & Chris Omelon at the McGill Arctic Research Station (MARS) on Axel Heiberg Island, 2025.
Project details
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