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ee.ImageCollection.toBands
Organiza tus páginas con colecciones
Guarda y categoriza el contenido según tus preferencias.
Convierte una colección en una sola imagen multibanda que contiene todas las bandas de cada imagen de la colección. Las bandas de salida se nombran agregando un prefijo a los nombres de las bandas existentes con el ID de la imagen de la que provienen (p.ej., 'image1_band1'). Nota: La cantidad máxima de bandas es 5,000.
| Uso | Muestra |
|---|
ImageCollection.toBands() | Imagen |
| Argumento | Tipo | Detalles |
|---|
esta: collection | ImageCollection | Es la colección de entrada. |
Ejemplos
Editor de código (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);
Configuración de Python
Consulta la página
Entorno de Python para obtener información sobre la API de Python y el uso de geemap para el desarrollo interactivo.
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 que se indique lo contrario, el contenido de esta página está sujeto a la licencia Atribución 4.0 de Creative Commons, y los ejemplos de código están sujetos a la licencia Apache 2.0. Para obtener más información, consulta las políticas del sitio de Google Developers. Java es una marca registrada de Oracle o sus afiliados.
Última actualización: 2025-07-26 (UTC)
[null,null,["Última actualización: 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```"]]
