Activity Map from space: supporting mine clearance with Python

Removing UneXploded Ordnance (UXO) from minefields at the end of a conflict is a very time-consuming and expensive operation. Advanced satellite image processing can detect changes and activities on the ground and represent them on a map that can be used by operators to classify more dangerous zones and safer areas, potentially reducing the time spent on field surveys.

We exploit space-borne radar Earth images together with thematic data for mapping activities on the ground using numpy, scipy and gdal. The Activity Map generation process to be shown will be implemented using IPython Notebook.