ee.ImageCollection.toBands

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.

UtilizzoRestituisce
ImageCollection.toBands()Immagine
ArgomentoTipoDettagli
questo: collectionImageCollectionLa 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.
display('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.
img = col.toBands()
display('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).
band_order = col.sort('DATE_ACQUIRED', False).toBands()
display('Customized band order:', band_order)