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''.
 
* 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.
 
* Click {{button|text=Open}}, the raster layer appears on the QGIS canvas.
 
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# Click {{button|text=Add vector layer}} [[Image:QGIS_2.0_addvect.png|20px]] and select file ''geodata/vector/Subset-Goe_DE021L1_GOTTINGEN_UA2012_UTM32N_reclass.shp'' containing an integer column indicating the land cover class code (result of [[Conditional field calculator]]). 
* In the search engine of the Processing Toolbox, type PCA and select '''DimensionalityReduction(pca)''' under Image Filtering of the Orfeo Toolbox.
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* In the search engine of the Processing Toolbox, type Rasterize and select '''Rasterize (vector to Raster)''' under Conversion of GDAL.
* Under the Parameter tab, select Multispectral band file as the input layer.
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* Select the vector file as the input layer.
* Select '''pca''' under the Algorithm tab.
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* Select '''C_ID''' as Attribute field containing the integer class code.
* Enter 4 as the number of components.
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* Select '''Output size form map resolution per pixel''' from the drop-down list.
* Specify the directory to save the output file.
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* Enter 10 as the number of Horizontal pixel size (in meters).
* Untick output file after running algorithm (inverse output image) option.
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* Enter 10 as the number of Vertical pixel size (in meters).
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* As Raster extent click the button {{button|text=...}} and then '''Use Layer/Canvas extent''' to select the loaded raster file (s. above).
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* Unfold the '''Advanced Parameters'''.
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* Choose '''Byte''' (8bit) as Output Raster Type.
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* Type {{typed|text=0}} as Nodata Value.
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* Specify the directory under '''Rasterized''' and name the file '''C_ID.tif''' for saving.
 
* Click on {{button|text=Run}} to execute the algorithm.
 
* Click on {{button|text=Run}} to execute the algorithm.
 
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[[File:Qgis_rasterize.png|600px]]
  
 
[[category:Working with Vector Data]]
 
[[category:Working with Vector Data]]

Latest revision as of 16:11, 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.
  1. Click Add vector layer QGIS 2.0 addvect.png and select file geodata/vector/Subset-Goe_DE021L1_GOTTINGEN_UA2012_UTM32N_reclass.shp containing an integer column indicating the land cover class code (result of Conditional field calculator).
  • In the search engine of the Processing Toolbox, type Rasterize and select Rasterize (vector to Raster) under Conversion of GDAL.
  • Select the vector file as the input layer.
  • Select C_ID as Attribute field containing the integer class code.
  • Select Output size form map resolution per pixel from the drop-down list.
  • Enter 10 as the number of Horizontal pixel size (in meters).
  • Enter 10 as the number of Vertical pixel size (in meters).
  • As Raster extent click the button ... and then Use Layer/Canvas extent to select the loaded raster file (s. above).
  • Unfold the Advanced Parameters.
  • Choose Byte (8bit) as Output Raster Type.
  • Type 0 as Nodata Value.
  • Specify the directory under Rasterized and name the file C_ID.tif for saving.
  • Click on Run to execute the algorithm.

Qgis rasterize.png

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