This repository includes the support material for the following blog posts:

Python for geospatial data processing

http://www.machinalis.com/blog/python-for-geospatial-data-processing/

To try this code you need to install the packages described in the requirements.txt file and you can use this sample data

Build GDAL from source

This code was developed in Ubuntu (Linux) using the GDAL library, version 2.0.1. You need to install it in your machine before installing the Python bindings. It is all explained in the following links:

• Download: http://download.osgeo.org/gdal/2.0.1/gdal-2.0.1.tar.gz
• Install: https://trac.osgeo.org/gdal/wiki/GdalOgrInPython
• Python bindings: https://trac.osgeo.org/gdal/wiki/BuildingOnUnix
• PyPi: https://pypi.python.org/pypi/GDAL/

Python for Object Based Image Analysis (OBIA)

http://www.machinalis.com/blog/obia/

This post is a continuation of the first one. The development of the subject is in a Jupyter Notebook

To try it out, you can use the same data as in the other post.

Searching for aliens

http://www.machinalis.com/blog/searching-for-aliens/

The development of the subject is in a Jupyter Notebook

It has a couple of specific requirements:

• affine==2.0.0.post1
• OpenCV (which I installed following this: https://gist.github.com/Asymptote/6d95396a1a45b55e3b63c3ee4d2b7c24)