Land Cover/Use Classification using the Semi-Automatic Classification Plugin for QGIS

Revision as of 00:41, 26 November 2017

Preparing raster data (Converting DN to reflectance)
1. Load the multiband raster file Subset_S2A_MSIL2A_20170619T.tif available in the course data. This contains all 13 bands of Sentinel-2 scene.
2. Follow Split stack to extract bands 2, 3, 4, 5, 6, 7, 8, 11 and 12, using the multiband raster file Subset_S2A_MSIL2A_20170619T.tif as input layer.
3. In the processing toolbar, type Raster calculator into the search field to find the GDAL\OGR --> Raster calculator tool and open it.

Click the button Run as batch process..., and use Add row button to add enough processing rows.
Click the button ... of Input layer A to select the single extracted bands as input layers (i.e. one per row).

@@ Line 6: / Line 6: @@
 ## Follow [[Split stack]] to extract bands 2, 3, 4, 5, 6, 7, 8, 11 and 12, using the multiband raster file ''Subset_S2A_MSIL2A_20170619T.tif'' as input layer.
 ## In the processing toolbar, type {{typed|text=Raster calculator}} into the search field to find the {{button|text=GDAL\OGR --> Raster calculator}} tool and open it.
-** Click the button {{button|text=Run as batch process...}}
+* Click the button {{button|text=Run as batch process...}}, and use {{button|text=Add row}} [[Image:Add_rows.PNG]] button to add enough processing rows.
+* Click the button {{button|text=...}} of '''Input layer A''' to select the single extracted bands as input layers (i.e. one per row).
+[[File:Convert_DN_to_reflectance.png]]
 [[Category:QGIS Tutorial]]