AI-generated Key Takeaways
- 
          The FeatureCollection.bounds()method constructs a bounding box around the geometries within a collection.
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          The method can optionally accept maxErrorandprojarguments to control reprojection error tolerance and the output projection.
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          It returns a Geometryobject representing the calculated bounding box.
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          Examples are provided demonstrating its use in both JavaScript and Python. 
| Usage | Returns | 
|---|---|
| FeatureCollection.bounds(maxError, proj) | Geometry | 
| Argument | Type | Details | 
|---|---|---|
| this: collection | FeatureCollection | The collection whose bounds will be constructed. | 
| maxError | ErrorMargin, optional | The maximum amount of error tolerated when performing any necessary reprojection. | 
| proj | Projection, optional | If specified, the result will be in this projection. Otherwise it will be in EPSG:4326. | 
Examples
Code Editor (JavaScript)
// FeatureCollection of power plants in Belgium. var fc = ee.FeatureCollection('WRI/GPPD/power_plants') .filter('country_lg == "Belgium"'); print('Bounds of Belgium power plants:', fc.bounds()); // ee.Geometry
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('Bounds of Belgium power plants:', fc.bounds()) # ee.Geometry