Applies a reducer across all of the images in a collection.
If the reducer has a single input, it will be applied separately to each band of the collection; otherwise it must have the same number of inputs as the collection has bands.
The reducer output names determine the names of the output bands: reducers with multiple inputs will use the output names directly, while reducers with a single input will prefix the output name with the input band name (e.g. '10_mean', '20_mean', etc.).
| Usage | Returns |
|---|---|
ImageCollection.reduce(reducer, parallelScale) | Image |
| Argument | Type | Details |
|---|---|---|
this: collection | ImageCollection | The image collection to reduce. |
reducer | Reducer | The reducer to apply to the given collection. |
parallelScale | Float, default: 1 | A scaling factor used to limit memory use; using a larger parallelScale (e.g. 2 or 4) may enable computations that run out of memory with the default. |
Examples
JavaScript
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Python
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