Rasterization - Rasterization

Rasterize a vector dataset.

Detailed description

This application allows reprojecting and rasterize a vector dataset. The grid of the rasterized output can be set by using a reference image, or by setting all parmeters (origin, size, spacing) by hand. In the latter case, at least the spacing (ground sampling distance) is needed (other parameters are computed automatically). The rasterized output can also be in a different projection reference system than the input dataset.
There are two rasterize mode available in the application. The first is the binary mode: it allows rendering all pixels belonging to a geometry of the input dataset in the foreground color, while rendering the other in background color. The second one allows rendering pixels belonging to a geometry woth respect to an attribute of this geometry. The field of the attribute to render can be set by the user. In the second mode, the background value is still used for unassociated pixels.


This section describes in details the parameters available for this application. Table [1] presents a summary of these parameters and the parameters keys to be used in command-line and programming languages. Application key is Rasterization .

[1]Table: Parameters table for Rasterization.
Parameter Key Parameter Name Parameter Type
in Input vector dataset Input vector data
out Output image Output image
im Input reference image Input image
szx Output size x Int
szy Output size y Int
epsg Output EPSG code Int
orx Output Upper-left x Float
ory Output Upper-left y Float
spx Spacing (GSD) x Float
spy Spacing (GSD) y Float
background Background value Float
mode Rasterization mode Choices
mode binary Binary mode Choice
mode attribute Attribute burning mode Choice
mode.binary.foreground Foreground value Float
mode.attribute.field The attribute field to burn String
ram Available RAM (Mb) Int
inxml Load otb application from xml file XML input parameters file
outxml Save otb application to xml file XML output parameters file

Input vector dataset: The input vector dataset to be rasterized.

Output image: An output image containing the rasterized vector dataset.

Input reference image: A reference image from which to import output grid and projection reference system information.

Output size x: Output size along x axis (useless if support image is given).

Output size y: Output size along y axis (useless if support image is given).

Output EPSG code: EPSG code for the output projection reference system (EPSG 4326 for WGS84, 32631 for UTM31N...,useless if support image is given).

Output Upper-left x: Output upper-left corner x coordinate (useless if support image is given).

Output Upper-left y: Output upper-left corner y coordinate (useless if support image is given).

Spacing (GSD) x: Spacing (ground sampling distance) along x axis (useless if support image is given).

Spacing (GSD) y: Spacing (ground sampling distance) along y axis (useless if support image is given).

Background value: Default value for pixels not belonging to any geometry.

Rasterization mode: Choice of rasterization modes. Available choices are:

  • Binary mode: In this mode, pixels within a geometry will hold the user-defined foreground value.
  • Foreground value: Value for pixels inside a geometry.
  • Attribute burning mode: In this mode, pixels within a geometry will hold the value of a user-defined field extracted from this geometry.
  • The attribute field to burn: Name of the attribute field to burn.

Available RAM (Mb): Available memory for processing (in MB).

Load otb application from xml file: Load otb application from xml file.

Save otb application to xml file: Save otb application to xml file.


To run this example in command-line, use the following:

otbcli_Rasterization -in qb_RoadExtract_classification.shp -out rasterImage.tif -spx 1. -spy 1.

To run this example from Python, use the following code snippet:


# Import the otb applications package
import otbApplication

# The following line creates an instance of the Rasterization application
Rasterization = otbApplication.Registry.CreateApplication("Rasterization")

# The following lines set all the application parameters:
Rasterization.SetParameterString("in", "qb_RoadExtract_classification.shp")

Rasterization.SetParameterString("out", "rasterImage.tif")

Rasterization.SetParameterFloat("spx", 1.)

Rasterization.SetParameterFloat("spy", 1.)

# The following line execute the application




This application has been written by OTB-Team.

See Also

These additional resources can be useful for further information:
For now, support of input dataset with multiple layers having different projection reference system is limited.