ee.ImageCollection.fromImages

 // A series of images. 
 var 
  
 img1 
  
 = 
  
 ee 
 . 
 Image 
 ( 
 0 
 ); 
 var 
  
 img2 
  
 = 
  
 ee 
 . 
 Image 
 ( 
 1 
 ); 
 var 
  
 img3 
  
 = 
  
 ee 
 . 
 Image 
 ( 
 2 
 ); 
 // Convert the list of images into an image collection. 
 var 
  
 col 
  
 = 
  
 ee 
 . 
 ImageCollection 
 . 
 fromImages 
 ([ 
 img1 
 , 
  
 img2 
 , 
  
 img3 
 ]); 
 print 
 ( 
 'Collection from list of images' 
 , 
  
 col 
 ); 
 // The ee.ImageCollection.fromImages function is intended to coerce the image 
 // list to a collection when the list is an ambiguous, computed object fetched 
 // from the properties of a server-side object. For instance, a list 
 // of images retrieved from a ee.Feature property. Here, we set an image 
 // list as a property of a feature, retrieve it, and convert it to 
 // a collection. Notice that the ee.ImageCollection constructor fails to coerce 
 // the image list to a collection, but ee.ImageCollection.fromImages does. 
 var 
  
 feature 
  
 = 
  
 ee 
 . 
 Feature 
 ( 
 null 
 ). 
 set 
 ( 
 'img_list' 
 , 
  
 [ 
 img1 
 , 
  
 img2 
 , 
  
 img3 
 ]); 
 var 
  
 ambiguousImgList 
  
 = 
  
 feature 
 . 
 get 
 ( 
 'img_list' 
 ); 
 print 
 ( 
 'Coerced to collection' 
 , 
  
 ee 
 . 
 ImageCollection 
 . 
 fromImages 
 ( 
 ambiguousImgList 
 )); 
 print 
 ( 
 'NOT coerced to collection' 
 , 
  
 ee 
 . 
 ImageCollection 
 ( 
 ambiguousImgList 
 )); 
 // A common use case is coercing an image list from a saveAll join to a 
 // image collection, like in this example of building a collection of mean 
 // annual NDVI images from a MODIS collection. 
 var 
  
 modisCol 
  
 = 
  
 ee 
 . 
 ImageCollection 
 ( 
 'MODIS/006/MOD13A2' 
 ) 
  
 . 
 filterDate 
 ( 
 '2017' 
 , 
  
 '2021' 
 ) 
  
 . 
 select 
 ( 
 'NDVI' 
 ) 
  
 . 
 map 
 ( 
 function 
 ( 
 img 
 ) 
  
 { 
 return 
  
 img 
 . 
 set 
 ( 
 'year' 
 , 
  
 img 
 . 
 date 
 (). 
 get 
 ( 
 'year' 
 ))}); 
 var 
  
 distinctYearCol 
  
 = 
  
 modisCol 
 . 
 distinct 
 ( 
 'year' 
 ); 
 var 
  
 joinedCol 
  
 = 
  
 ee 
 . 
 Join 
 . 
 saveAll 
 ( 
 'img_list' 
 ). 
 apply 
 ({ 
  
 primary 
 : 
  
 distinctYearCol 
 , 
  
 secondary 
 : 
  
 modisCol 
 , 
  
 condition 
 : 
  
 ee 
 . 
 Filter 
 . 
 equals 
 ({ 
 'leftField' 
 : 
  
 'year' 
 , 
  
 'rightField' 
 : 
  
 'year' 
 }) 
 }); 
 var 
  
 annualNdviMean 
  
 = 
  
 joinedCol 
 . 
 map 
 ( 
 function 
 ( 
 img 
 ) 
  
 { 
  
 return 
  
 ee 
 . 
 ImageCollection 
 . 
 fromImages 
 ( 
 img 
 . 
 get 
 ( 
 'img_list' 
 )). 
 mean 
 () 
  
 . 
 copyProperties 
 ( 
 img 
 , 
  
 [ 
 'year' 
 ]); 
 }); 
 print 
 ( 
 'Mean annual NDVI collection' 
 , 
  
 annualNdviMean 
 ); 

 # A series of images. 
 img1 
 = 
 ee 
 . 
 Image 
 ( 
 0 
 ) 
 img2 
 = 
 ee 
 . 
 Image 
 ( 
 1 
 ) 
 img3 
 = 
 ee 
 . 
 Image 
 ( 
 2 
 ) 
 # Convert the list of images into an image collection. 
 col 
 = 
 ee 
 . 
 ImageCollection 
 . 
 fromImages 
 ([ 
 img1 
 , 
 img2 
 , 
 img3 
 ]) 
 print 
 ( 
 'Collection from list of images:' 
 , 
 col 
 . 
 getInfo 
 ()) 
 # The ee.ImageCollection.fromImages function is intended to coerce the image 
 # list to a collection when the list is an ambiguous, computed object fetched 
 # from the properties of a server-side object. For instance, a list 
 # of images retrieved from a ee.Feature property. Here, we set an image 
 # list as a property of a feature, retrieve it, and convert it to 
 # a collection. Notice that the ee.ImageCollection constructor fails to coerce 
 # the image list to a collection, but ee.ImageCollection.fromImages does. 
 feature 
 = 
 ee 
 . 
 Feature 
 ( 
 None 
 ) 
 . 
 set 
 ( 
 'img_list' 
 , 
 [ 
 img1 
 , 
 img2 
 , 
 img3 
 ]) 
 ambiguous_img_list 
 = 
 feature 
 . 
 get 
 ( 
 'img_list' 
 ) 
 print 
 ( 
 'Coerced to collection:' 
 , 
 ee 
 . 
 ImageCollection 
 . 
 fromImages 
 ( 
 ambiguous_img_list 
 ) 
 . 
 getInfo 
 (), 
 ) 
 print 
 ( 
 'NOT coerced to collection:' 
 , 
 ee 
 . 
 ImageCollection 
 ( 
 ambiguous_img_list 
 ) 
 . 
 getInfo 
 (), 
 ) 
 # A common use case is coercing an image list from a saveAll join to a 
 # image collection, like in this example of building a collection of mean 
 # annual NDVI images from a MODIS collection. 
 modis_col 
 = 
 ( 
 ee 
 . 
 ImageCollection 
 ( 
 'MODIS/006/MOD13A2' 
 ) 
 . 
 filterDate 
 ( 
 '2017' 
 , 
 '2021' 
 ) 
 . 
 select 
 ( 
 'NDVI' 
 ) 
 . 
 map 
 ( 
 lambda 
 img 
 : 
 img 
 . 
 set 
 ( 
 'year' 
 , 
 img 
 . 
 date 
 () 
 . 
 get 
 ( 
 'year' 
 ))) 
 ) 
 distinct_year_col 
 = 
 modis_col 
 . 
 distinct 
 ( 
 'year' 
 ) 
 joined_col 
 = 
 ee 
 . 
 Join 
 . 
 saveAll 
 ( 
 'img_list' 
 ) 
 . 
 apply 
 ( 
 primary 
 = 
 distinct_year_col 
 , 
 secondary 
 = 
 modis_col 
 , 
 condition 
 = 
 ee 
 . 
 Filter 
 . 
 equals 
 ( 
 leftField 
 = 
 'year' 
 , 
 rightField 
 = 
 'year' 
 ), 
 ) 
 annual_ndvi_mean 
 = 
 joined_col 
 . 
 map 
 ( 
 lambda 
 img 
 : 
 ee 
 . 
 ImageCollection 
 . 
 fromImages 
 ( 
 img 
 . 
 get 
 ( 
 'img_list' 
 )) 
 . 
 mean 
 () 
 . 
 copyProperties 
 ( 
 img 
 , 
 [ 
 'year' 
 ]) 
 ) 
 print 
 ( 
 'Mean annual NDVI collection:' 
 , 
 annual_ndvi_mean 
 . 
 getInfo 
 ())