locationtech/rasterframes
Geospatial Raster support for Spark DataFrames
RasterFrames helps Earth-observation (EO) data analysts work with vast amounts of satellite imagery and other raster data. It allows you to organize geospatial raster data into familiar table structures, perform spatial queries and calculations, and integrate with machine learning tools. This is ideal for scientists, environmental planners, or GIS professionals who need to analyze large datasets from satellites or aerial photography.
255 stars.
Use this if you need to perform scalable analysis on large, complex Earth-observation datasets using familiar data table operations.
Not ideal if your primary need is for simple, localized geospatial data visualization or if you are not working with 'big data' scale raster information.
Stars
255
Forks
48
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Dec 30, 2025
Commits (30d)
0
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