machinalis / Satimg
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Satellite data processing experiments
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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)
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