Convert vector to raster

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# Click the {{button|text=Add raster layer}} [[Image:QGIS_2.0_addrast.png|20px]] and select the file  ''C:/OSGeo4W64/geodata/raster/s2/Subset_S2A_MSIL2A_20170619T.tif''.
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* Click the {{button|text=Add raster layer}} [[Image:QGIS_2.0_addrast.png|20px]] and select the file  ''C:/OSGeo4W64/geodata/raster/s2/Subset_S2A_MSIL2A_20170619T.tif''.
# Click {{button|text=Open}}, the raster layer appears on the QGIS canvas.
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* Click {{button|text=Open}}, the raster layer appears on the QGIS canvas.
# Open the raster calculator and apply the following formula:
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[[File:Qgis_rastercalc_zero.png]]
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* In the search engine of the Processing Toolbox, type PCA and select '''DimensionalityReduction(pca)''' under Image Filtering of the Orfeo Toolbox.
# Define path and name for the single band output layer.
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* Under the Parameter tab, select Multispectral band file as the input layer.
# Click on the ‘OK-button’.
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* Select '''pca''' under the Algorithm tab.
# In the processing toolbar, type {{typed|text=Translate}} into the search field to find the {{button|text=GDAL\OGR --> Translate (Convert format)}} tool and open it.
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* Enter 4 as the number of components.
** Type in the textbox '''Nodata value''': {{typed|text=0}}
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* Specify the directory to save the output file.
** Unfold the '''Advanced parameters''' and change the output data format to unsigned 16bit integer): {{typed|text=-ot UInt16}}
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* Untick output file after running algorithm (inverse output image) option.
** Click the button {{button|text=...}} of '''Converted''' to select path and name of output file.
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* Click on {{button|text=Run}} to execute the algorithm.
** Click {{button|text=Run}}.
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[[category:Working with Vector Data]]
 
[[category:Working with Vector Data]]

Revision as of 12:23, 26 November 2017

  • Click the Add raster layer QGIS 2.0 addrast.png and select the file C:/OSGeo4W64/geodata/raster/s2/Subset_S2A_MSIL2A_20170619T.tif.
  • Click Open, the raster layer appears on the QGIS canvas.
  • In the search engine of the Processing Toolbox, type PCA and select DimensionalityReduction(pca) under Image Filtering of the Orfeo Toolbox.
  • Under the Parameter tab, select Multispectral band file as the input layer.
  • Select pca under the Algorithm tab.
  • Enter 4 as the number of components.
  • Specify the directory to save the output file.
  • Untick output file after running algorithm (inverse output image) option.
  • Click on Run to execute the algorithm.
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