Activity Map from space: supporting mine clearance with Python
summary
Shows how space-borne radar Earth images plus thematic data are used to detect ground changes and map human activity to prioritise UXO/mine-clearance surveys. Implements the processing pipeline with numpy, scipy and GDAL, demonstrated through an IPython Notebook.
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chapters (10)
- 0:00Start
- 1:26Mine Clearance is slow
- 2:38Mine Clearance is dangerous
- 4:00Space is remote sensing
- 6:27Activity Map supports demining analysis
- 7:22Activity Map Amplitude 1
- 8:14Activity Map Interferometric Coherence
- 9:04Activity Map Coherent Changes
- 11:17Activity Map Steps
- 16:58Final Remarks
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