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ee.ImageCollection.toBands
Mantieni tutto organizzato con le raccolte
Salva e classifica i contenuti in base alle tue preferenze.
Converte una raccolta in un'unica immagine multibanda contenente tutte le bande di ogni immagine della raccolta. Le bande di output vengono denominate anteponendo ai nomi delle bande esistenti l'ID immagine da cui provengono (ad es. 'image1_band1'). Nota: il numero massimo di band è 5000.
Utilizzo | Resi |
---|
ImageCollection.toBands() | Immagine |
Argomento | Tipo | Dettagli |
---|
questo: collection | ImageCollection | La raccolta di input. |
Esempi
Editor di codice (JavaScript)
// A Landsat 8 TOA image collection (2 months of images at a specific point).
var col = ee.ImageCollection('LANDSAT/LC08/C02/T1_TOA')
.filterBounds(ee.Geometry.Point(-90.70, 34.71))
.filterDate('2020-07-01', '2020-09-01')
.select('B[4-5]'); // Get NIR and SWIR1 bands only.
print('Collection', col);
// Convert the image collection to a single multi-band image. Note that image ID
// ('system:index') is prepended to band names to delineate the source images.
var img = col.toBands();
print('Collection to bands', img);
// Band order is determined by collection order. Here, the collection is
// sorted in descending order of the date of observation (reverse of previous).
var bandOrder = col.sort('DATE_ACQUIRED', false).toBands();
print('Customized band order', bandOrder);
Configurazione di Python
Consulta la pagina
Ambiente Python per informazioni sull'API Python e sull'utilizzo di
geemap
per lo sviluppo interattivo.
import ee
import geemap.core as geemap
Colab (Python)
# A Landsat 8 TOA image collection (2 months of images at a specific point).
col = (
ee.ImageCollection('LANDSAT/LC08/C02/T1_TOA')
.filterBounds(ee.Geometry.Point(-90.70, 34.71))
.filterDate('2020-07-01', '2020-09-01')
.select('B[4-5]')
) # Get NIR and SWIR1 bands only.
print('Collection:', col.getInfo())
# Convert the image collection to a single multi-band image. Note that image ID
# ('system:index') is prepended to band names to delineate the source images.
img = col.toBands()
print('Collection to bands:', img.getInfo())
# Band order is determined by collection order. Here, the collection is
# sorted in descending order of the date of observation (reverse of previous).
band_order = col.sort('DATE_ACQUIRED', False).toBands()
print('Customized band order:', band_order.getInfo())
Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java è un marchio registrato di Oracle e/o delle sue consociate.
Ultimo aggiornamento 2025-07-26 UTC.
[null,null,["Ultimo aggiornamento 2025-07-26 UTC."],[[["\u003cp\u003e\u003ccode\u003etoBands()\u003c/code\u003e transforms an ImageCollection into a single multi-band image, combining all bands from each image within the collection.\u003c/p\u003e\n"],["\u003cp\u003eBand names in the output image are prefixed with the original image ID to identify their source.\u003c/p\u003e\n"],["\u003cp\u003eThe band order in the output image reflects the order of images within the input collection, which can be controlled using \u003ccode\u003esort()\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eThere is a limit of 5000 bands for the output multi-band image.\u003c/p\u003e\n"]]],["The `toBands()` method converts an ImageCollection into a single multi-band Image. Each band in the resulting image corresponds to a band from an image in the collection. The output band names are prefixed with the source image's ID. The order of bands in the output image matches the order of images in the collection. Users can sort the collection to customize the band order, however the maximum band limit is 5000.\n"],null,["# ee.ImageCollection.toBands\n\nConverts a collection to a single multi-band image containing all of the bands of every image in the collection. Output bands are named by prefixing the existing band names with the image id from which it came (e.g., 'image1_band1'). Note: The maximum number of bands is 5000.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|-----------------------------|---------|\n| ImageCollection.toBands`()` | Image |\n\n| Argument | Type | Details |\n|--------------------|-----------------|-----------------------|\n| this: `collection` | ImageCollection | The input collection. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\n// A Landsat 8 TOA image collection (2 months of images at a specific point).\nvar col = ee.ImageCollection('LANDSAT/LC08/C02/T1_TOA')\n .filterBounds(ee.Geometry.Point(-90.70, 34.71))\n .filterDate('2020-07-01', '2020-09-01')\n .select('B[4-5]'); // Get NIR and SWIR1 bands only.\nprint('Collection', col);\n\n// Convert the image collection to a single multi-band image. Note that image ID\n// ('system:index') is prepended to band names to delineate the source images.\nvar img = col.toBands();\nprint('Collection to bands', img);\n\n// Band order is determined by collection order. Here, the collection is\n// sorted in descending order of the date of observation (reverse of previous).\nvar bandOrder = col.sort('DATE_ACQUIRED', false).toBands();\nprint('Customized band order', bandOrder);\n```\nPython setup\n\nSee the [Python Environment](/earth-engine/guides/python_install) page for information on the Python API and using\n`geemap` for interactive development. \n\n```python\nimport ee\nimport geemap.core as geemap\n```\n\n### Colab (Python)\n\n```python\n# A Landsat 8 TOA image collection (2 months of images at a specific point).\ncol = (\n ee.ImageCollection('LANDSAT/LC08/C02/T1_TOA')\n .filterBounds(ee.Geometry.Point(-90.70, 34.71))\n .filterDate('2020-07-01', '2020-09-01')\n .select('B[4-5]')\n) # Get NIR and SWIR1 bands only.\nprint('Collection:', col.getInfo())\n\n# Convert the image collection to a single multi-band image. Note that image ID\n# ('system:index') is prepended to band names to delineate the source images.\nimg = col.toBands()\nprint('Collection to bands:', img.getInfo())\n\n# Band order is determined by collection order. Here, the collection is\n# sorted in descending order of the date of observation (reverse of previous).\nband_order = col.sort('DATE_ACQUIRED', False).toBands()\nprint('Customized band order:', band_order.getInfo())\n```"]]