ee.FeatureCollection.merge Stay organized with collections Save and categorize content based on your preferences.
Page Summary
FeatureCollection.merge() combines two collections into one, including all elements from both.
Elements from the first collection have IDs prefixed with "1*" and the second with "2*".
For merging many collections, using FeatureCollection.flatten() is recommended over repeated merging for better performance.
Elements from the first collection will have IDs prefixed with "1" and elements from the second collection will have IDs prefixed with "2".
Note: If many collections need to be merged, consider placing them all in a collection and using FeatureCollection.flatten() instead. Repeated use of FeatureCollection.merge() will result in increasingly long element IDs and reduced performance.| Usage | Returns |
|---|---|
FeatureCollection.merge(collection2) | FeatureCollection |
| Argument | Type | Details |
|---|---|---|
this:collection1 | FeatureCollection | The first collection to merge. |
collection2 | FeatureCollection | The second collection to merge. |
Examples
Code Editor (JavaScript)
// FeatureCollection of points representing forest cover.varfcForest=ee.FeatureCollection([ee.Feature(ee.Geometry.Point([-122.248,37.238]),{'id':0,'cover_class':'forest'}),ee.Feature(ee.Geometry.Point([-122.204,37.222]),{'id':1,'cover_class':'forest'}),ee.Feature(ee.Geometry.Point([-122.110,37.199]),{'id':2,'cover_class':'forest'})]);// FeatureCollection of points representing urban cover.varfcUrban=ee.FeatureCollection([ee.Feature(ee.Geometry.Point([-121.953,37.372]),{'id':0,'cover_class':'urban'}),ee.Feature(ee.Geometry.Point([-121.861,37.308]),{'id':1,'cover_class':'urban'}),ee.Feature(ee.Geometry.Point([-121.984,37.372]),{'id':2,'cover_class':'urban'})]);// Merge the two FeatureCollections into one.varfcMerged=fcForest.merge(fcUrban);// Display FeatureCollections on the map.Map.setCenter(-122.034,37.296,11);Map.addLayer(fcForest,{color:'green'},'Forest points');Map.addLayer(fcUrban,{color:'grey'},'Urban points');Map.addLayer(fcMerged,{color:'yellow'},'Protected areas merged');
Python setup
See the Python Environment page for information on the Python API and usinggeemap for interactive development.
importeeimportgeemap.coreasgeemap
Colab (Python)
# FeatureCollection of points representing forest cover.fc_forest=ee.FeatureCollection([ee.Feature(ee.Geometry.Point([-122.248,37.238]),{'id':0,'cover_class':'forest','id':0,'cover_class':'forest',},),ee.Feature(ee.Geometry.Point([-122.204,37.222]),{'id':1,'cover_class':'forest','id':1,'cover_class':'forest',},),ee.Feature(ee.Geometry.Point([-122.110,37.199]),{'id':2,'cover_class':'forest','id':2,'cover_class':'forest',},),])# FeatureCollection of points representing urban cover.fc_urban=ee.FeatureCollection([ee.Feature(ee.Geometry.Point([-121.953,37.372]),{'id':0,'cover_class':'urban','id':0,'cover_class':'urban'},),ee.Feature(ee.Geometry.Point([-121.861,37.308]),{'id':1,'cover_class':'urban','id':1,'cover_class':'urban'},),ee.Feature(ee.Geometry.Point([-121.984,37.372]),{'id':2,'cover_class':'urban','id':2,'cover_class':'urban'},),])# Merge the two FeatureCollections into one.fc_merged=fc_forest.merge(fc_urban)# Display FeatureCollections on the map.m=geemap.Map()m.set_center(-122.034,37.296,11)m.add_layer(fc_forest,{'color':'green'},'Forest points')m.add_layer(fc_urban,{'color':'grey'},'Urban points')m.add_layer(fc_merged,{'color':'yellow'},'Protected areas merged')m
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Last updated 2023-10-06 UTC.