scipy-notebook with rasterio

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scipy-notebook with rasterio

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Last edited Sep 18, 2017

Created on Sep 18, 2017

This example demonstrates a Docker-based environment for geospatial data analysis in Jupyter, combining the scipy-notebook stack with the rasterio library for raster processing. The Dockerfile builds on the official jupyter/scipy-notebook image, installing system-level GDAL dependencies via apt-get and then using conda to add the gdal package. It also uses pip to install rasterio for the jovyan user, enabling direct access to rasterio’s geospatial raster I/O and analysis APIs within Python notebooks. The setup shows a reproducible workflow for working with satellite or elevation data without requiring manual system configuration.

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