GitHub - wburt/dnbr: Uses python / esri arcpy to classify post wilfire burn severity from landsat imagery

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Uses python / esri arcpy to classify post wilfire burn severity from landsat imagery

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
BARC.tbx		BARC.tbx
BARC4_maker.py		BARC4_maker.py
Burn Severity Mapping using dNBR BARC toolbox.docx		Burn Severity Mapping using dNBR BARC toolbox.docx
DNBR_maker.py		DNBR_maker.py
Landsat.py		Landsat.py
README.txt		README.txt
barc_module.py		barc_module.py

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This tool will take a fire perimeter and use pre and post fire Landsat images to detect burn severity of vegetation. The images are compared and a severity polygon layer is created based on the fire perimeter.
Generally Post fire Landsat images are Landsat  7 or Landsat  8 with 8 being the most prefered. Pre fire Landsat images being 5, 7 or 8 with the most preferred being Landsat 8.
Required: 
1.	USGS Landsat account to browse and download  Landsat Data
2.	Fire perimeter shapefile
3.	Post fire Landsat Image placed in separate folder
4.	Pre fire Landsat Image placed in separate folder