ee.FeatureCollection.distinct

AI-generated Key Takeaways

• The distinct method removes duplicate elements from a FeatureCollection.

• Duplicates are identified by creating a strong hash of the serialized selected properties.

• The method accepts a property name or a list of property names for comparison, including the .geo property for geometry comparison.

Removes duplicates from a collection. Note that duplicates are determined using a strong hash over the serialized form of the selected properties.

Usage	Returns
FeatureCollection.distinct(properties)	FeatureCollection

Argument	Type	Details
this: collection	FeatureCollection	The input collection from which objects will be selected.
properties	Object	A property name or a list of property names to use for comparison. The '.geo' property can be included to compare object geometries.

Examples

Code Editor (JavaScript)

// FeatureCollection of power plants in Belgium.
var fc = ee.FeatureCollection('WRI/GPPD/power_plants')
             .filter('country_lg == "Belgium"');
print('FeatureCollection of power plants in Belgium', fc);

// Remove duplicate features according to property values.
print('Distinct based on a single property', fc.distinct('fuel1'));
print('Distinct based on two properties', fc.distinct(['fuel1', 'source']));
print('Distinct based on geometry', fc.distinct('.geo'));

Python setup

See the Python Environment page for information on the Python API and using geemap for interactive development.

import ee
import geemap.core as geemap

Colab (Python)

# FeatureCollection of power plants in Belgium.
fc = ee.FeatureCollection('WRI/GPPD/power_plants').filter(
    'country_lg == "Belgium"')
display('FeatureCollection of power plants in Belgium:', fc)

# Remove duplicate features according to property values.
display('Distinct based on a single property:', fc.distinct('fuel1'))
display('Distinct based on two properties:',
        fc.distinct(['fuel1', 'source']))
display('Distinct based on geometry', fc.distinct('.geo'))