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

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(Created page with " ==Working steps== # Preparing raster data (Converting DN to reflectance) ## Load the multiband raster file ''Subset_S2A_MSIL2A_20170619T.tif'' available in the [[Course data...")
 
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## 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.
 
## 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.
 
## 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...}}
  
 
[[Category:QGIS Tutorial]]
 
[[Category:QGIS Tutorial]]

Revision as of 00:12, 26 November 2017


Working steps

  1. 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...
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