KML To Layer

• This tool creates a file geodatabase containing a feature class within a feature dataset. The feature class name will be named point, line, polygon, or multipatches, dependent on the original features of the KML file. At the same folder level as the file geodatabase will be a layer file which can be added to a map to draw the features. This layer file draws features based on their schema of point, line, or polygon, while maintaining the original KML symbology.

  Each feature class created will have attributes which maintain information about the original KML file. The original folder structure, name, and pop-up information, as well as fields that help define how the features sit on a surface, all make up the attributes of each feature.

• Rasters, or ground overlays, will be converted into a raster catalog inside the file geodatabase. The source raster in its native format is available in a folder of GroundOverlays at the same level as the output file geodatabase. Ground overlays are not converted by default. Use the Include Ground Overlay option to create rasters.

  Converting overlays using the KML To Layer tool may take a long time, depending on source data. All available rasters and overlays inside the KML will be converted. All of the imagery will be converted if a KML references a service that provides imagery. Highly detailed imagery may take a long time to convert due its file size.

• Output will be generated in the WGS84 coordinate system. The output features can be reprojected to another coordinate system, if desired, using the Project tool.

• Input up to KMZ version 2.2 of the OGC KML standard is mostly supported. Point locations that use the address tag (by way of geocoding) are not supported. A valid latitude and longitude location is required inside the source KML.

Converts a KMZ file into a file geodatabase from the Python window.

import arcpy

arcpy.KMLToLayer_conversion(r'C:\kmls\earthquakes.kml',r'C:\gisdata\fromkmls','earthquake_09')
                    

The following script will convert a folder of KMZ and KML files into their respective file geodatabase. The feature classes inside these file geodatabases will then be consolidated into a single file geodatabase.

# Name: BatchKML_to_GDB.py
# Description: Converts a directory of KMLs and copies the output into a single fGDB.
#              A 2 step process: first convert the KML files, and then copy the featureclases

# Import system models
import arcpy, os

# Set workspace (where all the KMLs are)
arcpy.env.workspace="C:/VancouverData/KML"

# Set local variables and location for the consolidated file geodatabase
outLocation = "C:/WorkingData/fGDBs"
MasterGDB = 'AllKMLLayers.gdb'
MasterGDBLocation = os.path.join(outLocation, MasterGDB)

# Create the master FileGeodatabase
arcpy.CreateFileGDB_management(outLocation, MasterGDB)

# Convert all KMZ and KML files found in the current workspace
for kmz in arcpy.ListFiles('*.KM*'):
  print ("CONVERTING: {0}".format(os.path.join(arcpy.env.workspace, kmz)))
  arcpy.KMLToLayer_conversion(kmz, outLocation)


# Change the workspace to fGDB location
arcpy.env.workspace = outLocation

# Loop through all the FileGeodatabases within the workspace
wks = arcpy.ListWorkspaces('*', 'FileGDB')
# Skip the Master GDB
wks.remove(MasterGDBLocation)

for fgdb in wks:  
     
  # Change the workspace to the current FileGeodatabase
  arcpy.env.workspace = fgdb    

  # For every Featureclass inside, copy it to the Master and use the name from the original fGDB  
  featureClasses = arcpy.ListFeatureClasses('*', '', 'Placemarks')
  for fc in featureClasses:
    print ("COPYING: {0} FROM: {1}".format(fc, fgdb))    
    fcCopy = os.path.join(fgdb, 'Placemarks', fc)
    arcpy.FeatureClassToFeatureClass_conversion(fcCopy, MasterGDBLocation, fgdb[fgdb.rfind(os.sep)+1:-4])
  

# Clean up
del kmz, wks, fc, featureClasses, fgdb
                    

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