ArcGIS Pro Automate Georeference Control Points using python code

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09-02-2023 10:17 PM
DerickTrinidad
New Contributor II

Is there a way to use python to add Georeference Control Points to a raster?
Currently, I manually add control points to a raster that doesn't have a coordinate system.
I usually highlight select the Raster Layer in the contents table > Imagery Tab > Georeference Tool > Open the Control Point Table > and lastly Import the control points .txt file (already calculated).
How can I access Georeferencing tools using arcgis python libraries?

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RhettZufelt
MVP Frequent Contributor

Warp, or Warp From File might do what you need.

R_

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zooapk
by
New Contributor

 

Yes, you can use ArcGIS Python libraries to automate the process of adding Georeference Control Points to a raster. The ArcGIS Python library, also known as ArcPy, provides a wide range of geospatial tools for working with GIS data, including georeferencing.

Here's a general outline of how you can use ArcPy to automate the process of adding control points to a raster:

  1. Import the necessary ArcPy modules:

     

    pythonCopy code
    import arcpy

     

     
    1. Set up your workspace and specify the raster dataset you want to georeference:

       

      pythonCopy code
      arcpy.env.workspace = r"C:\Path\To\Your\Workspace" # Set your workspace directory raster_path = "your_raster.tif" # Replace with the path to your raster dataset

       

       
      1. Create a control points table and add control points programmatically. You can use the arcpy.management.CreateTable() method to create a table and then populate it with control points:

         

        pythonCopy code
        control_points_table = arcpy.management.CreateTable(workspace, "ControlPointsTable.dbf") # Define the fields in the control points table arcpy.management.AddField(control_points_table, "Input_X", "DOUBLE") arcpy.management.AddField(control_points_table, "Input_Y", "DOUBLE") arcpy.management.AddField(control_points_table, "Output_X", "DOUBLE") arcpy.management.AddField(control_points_table, "Output_Y", "DOUBLE") # Populate the table with control points - you can read your .txt file and insert the data here with arcpy.da.InsertCursor(control_points_table, ["Input_X", "Input_Y", "Output_X", "Output_Y"]) as cursor: # Loop through your .txt file and insert control points for line in your_txt_file_lines: # Parse the line and insert the values into the table input_x, input_y, output_x, output_y = parse_control_point_line(line) cursor.insertRow((input_x, input_y, output_x, output_y))

         

         
        1. Use the arcpy.GeoReferencePoints_management() tool to apply the control points to your raster:

           

          pythonCopy code
          arcpy.GeoReferencePoints_management(raster_path, control_points_table, "Input_X", "Input_Y", "Output_X", "Output_Y")

           

           
          1. Optionally, you can set the coordinate system for your raster if it doesn't have one:

             

            pythonCopy code
            # Define the coordinate system you want to assign to the raster spatial_reference = arcpy.SpatialReference("path_to_prj_file.prj") # Replace with your desired spatial reference # Set the coordinate system for the raster arcpy.management.DefineProjection(raster_path, spatial_reference)
             

            This code demonstrates how to use ArcPy to create a control points table, populate it with control points from your .txt file, and apply the georeferencing to your raster dataset. Be sure to replace the file paths and field names with your specific data.

            Before running this script, make sure you have the ArcGIS Pro or ArcMap software installed and properly configured with Python and ArcPy.

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DerickTrinidad
New Contributor II

The arcpy.GeoReferencePoints_management() doesn't seem to exist in the arcpy library. I am currently using ArcGIS Pro 3.1. Is there a function that can add control points to my raster?

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RhettZufelt
MVP Frequent Contributor

Warp, or Warp From File might do what you need.

R_

DerickTrinidad
New Contributor II

This work beautifully! 
Thank you very much!

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