ee.ImageCollection.toBands

Converts 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.
Usage Returns
ImageCollection. toBands () Image
Argument Type Details
this: collection
ImageCollection The input collection.

Examples

Code Editor (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 
 ); 

Python setup

See the Python Environment page for information on the Python API and using geemap for interactive development.

 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 
 ()) 
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