Satellite Data Projection and Georeferencing with Satpy
Day 2 Session 2 (1:30PM)
Presenters:
Marouane Temimi (Stevens Institute of Technology)
Baya Cherif (Stevens Institute of Technology)
Jorge Bravo (Stevens Institute of Technology)
This workshop introduces practical methods for transforming raw satellite swath observations into georeferenced, analysis-ready raster products using the Satpy Python library. Participants will learn the fundamentals of satellite sensor geometry, coordinate systems, reprojection, and resampling through hands-on examples.
The session emphasizes building repeatable processing workflows that produce geospatially consistent outputs suitable for hydrologic applications. Examples demonstrate how satellite-derived products can be integrated into precipitation monitoring, flood mapping, and operational forecasting pipelines.
Learning Outcomes:
- Load and inspect satellite swath datasets using Satpy
- Apply reprojection and resampling techniques to satellite data
- Produce georeferenced, analysis-ready raster products
- Integrate satellite-derived products into hydrologic and forecasting workflows