ee.ImageCollection.mosaic

 // Sentinel-2 image collection for July 2021 intersecting a point of interest. 
 // Reflectance, cloud probability, and scene classification bands are selected. 
 var 
  
 col 
  
 = 
  
 ee 
 . 
 ImageCollection 
 ( 
 'COPERNICUS/S2_SR' 
 ) 
  
 . 
 filterDate 
 ( 
 '2021-07-01' 
 , 
  
 '2021-08-01' 
 ) 
  
 . 
 filterBounds 
 ( 
 ee 
 . 
 Geometry 
 . 
 Point 
 ( 
 - 
 122.373 
 , 
  
 37.448 
 )) 
  
 . 
 select 
 ( 
 'B.*|MSK_CLDPRB|SCL' 
 ); 
 // Visualization parameters for reflectance RGB. 
 var 
  
 visRefl 
  
 = 
  
 { 
  
 bands 
 : 
  
 [ 
 'B11' 
 , 
  
 'B8' 
 , 
  
 'B3' 
 ], 
  
 min 
 : 
  
 0 
 , 
  
 max 
 : 
  
 4000 
 }; 
 Map 
 . 
 setCenter 
 ( 
 - 
 122.373 
 , 
  
 37.448 
 , 
  
 9 
 ); 
 Map 
 . 
 addLayer 
 ( 
 col 
 , 
  
 visRefl 
 , 
  
 'Collection reference' 
 , 
  
 false 
 ); 
 // Reduce the collection to a single image using a variety of methods. 
 var 
  
 mean 
  
 = 
  
 col 
 . 
 mean 
 (); 
 Map 
 . 
 addLayer 
 ( 
 mean 
 , 
  
 visRefl 
 , 
  
 'Mean (B11, B8, B3)' 
 ); 
 var 
  
 median 
  
 = 
  
 col 
 . 
 median 
 (); 
 Map 
 . 
 addLayer 
 ( 
 median 
 , 
  
 visRefl 
 , 
  
 'Median (B11, B8, B3)' 
 ); 
 var 
  
 min 
  
 = 
  
 col 
 . 
 min 
 (); 
 Map 
 . 
 addLayer 
 ( 
 min 
 , 
  
 visRefl 
 , 
  
 'Min (B11, B8, B3)' 
 ); 
 var 
  
 max 
  
 = 
  
 col 
 . 
 max 
 (); 
 Map 
 . 
 addLayer 
 ( 
 max 
 , 
  
 visRefl 
 , 
  
 'Max (B11, B8, B3)' 
 ); 
 var 
  
 sum 
  
 = 
  
 col 
 . 
 sum 
 (); 
 Map 
 . 
 addLayer 
 ( 
 sum 
 , 
  
 { 
 bands 
 : 
  
 [ 
 'MSK_CLDPRB' 
 ], 
  
 min 
 : 
  
 0 
 , 
  
 max 
 : 
  
 500 
 }, 
  
 'Sum (MSK_CLDPRB)' 
 ); 
 var 
  
 product 
  
 = 
  
 col 
 . 
 product 
 (); 
 Map 
 . 
 addLayer 
 ( 
 product 
 , 
  
 { 
 bands 
 : 
  
 [ 
 'MSK_CLDPRB' 
 ], 
  
 min 
 : 
  
 0 
 , 
  
 max 
 : 
  
 1e10 
 }, 
  
 'Product (MSK_CLDPRB)' 
 ); 
 // ee.ImageCollection.mode returns the most common value. If multiple mode 
 // values occur, the minimum mode value is returned. 
 var 
  
 mode 
  
 = 
  
 col 
 . 
 mode 
 (); 
 Map 
 . 
 addLayer 
 ( 
 mode 
 , 
  
 { 
 bands 
 : 
  
 [ 
 'SCL' 
 ], 
  
 min 
 : 
  
 1 
 , 
  
 max 
 : 
  
 11 
 }, 
  
 'Mode (pixel class)' 
 ); 
 // ee.ImageCollection.count returns the frequency of valid observations. Here, 
 // image pixels are masked based on cloud probability to add valid observation 
 // variability to the collection. Note that pixels with no valid observations 
 // are masked out of the returned image. 
 var 
  
 notCloudCol 
  
 = 
  
 col 
 . 
 map 
 ( 
 function 
 ( 
 img 
 ) 
  
 { 
  
 return 
  
 img 
 . 
 updateMask 
 ( 
 img 
 . 
 select 
 ( 
 'MSK_CLDPRB' 
 ). 
 lte 
 ( 
 10 
 )); 
 }); 
 var 
  
 count 
  
 = 
  
 notCloudCol 
 . 
 count 
 (); 
 Map 
 . 
 addLayer 
 ( 
 count 
 , 
  
 { 
 min 
 : 
  
 1 
 , 
  
 max 
 : 
  
 5 
 }, 
  
 'Count (not cloud observations)' 
 ); 
 // ee.ImageCollection.mosaic composites images according to their position in 
 // the collection (priority is last to first) and pixel mask status, where 
 // invalid (mask value 0) pixels are filled by preceding valid (mask value >0) 
 // pixels. 
 var 
  
 mosaic 
  
 = 
  
 notCloudCol 
 . 
 mosaic 
 (); 
 Map 
 . 
 addLayer 
 ( 
 mosaic 
 , 
  
 visRefl 
 , 
  
 'Mosaic (B11, B8, B3)' 
 ); 

 # Sentinel-2 image collection for July 2021 intersecting a point of interest. 
 # Reflectance, cloud probability, and scene classification bands are selected. 
 col 
 = 
 ( 
 ee 
 . 
 ImageCollection 
 ( 
 'COPERNICUS/S2_SR' 
 ) 
 . 
 filterDate 
 ( 
 '2021-07-01' 
 , 
 '2021-08-01' 
 ) 
 . 
 filterBounds 
 ( 
 ee 
 . 
 Geometry 
 . 
 Point 
 ( 
 - 
 122.373 
 , 
 37.448 
 )) 
 . 
 select 
 ( 
 'B.*|MSK_CLDPRB|SCL' 
 ) 
 ) 
 # Visualization parameters for reflectance RGB. 
 vis_refl 
 = 
 { 
 'bands' 
 : 
 [ 
 'B11' 
 , 
 'B8' 
 , 
 'B3' 
 ], 
 'min' 
 : 
 0 
 , 
 'max' 
 : 
 4000 
 } 
 m 
 = 
 geemap 
 . 
 Map 
 () 
 m 
 . 
 set_center 
 ( 
 - 
 122.373 
 , 
 37.448 
 , 
 9 
 ) 
 m 
 . 
 add_layer 
 ( 
 col 
 , 
 vis_refl 
 , 
 'Collection reference' 
 , 
 False 
 ) 
 # Reduce the collection to a single image using a variety of methods. 
 mean 
 = 
 col 
 . 
 mean 
 () 
 m 
 . 
 add_layer 
 ( 
 mean 
 , 
 vis_refl 
 , 
 'Mean (B11, B8, B3)' 
 ) 
 median 
 = 
 col 
 . 
 median 
 () 
 m 
 . 
 add_layer 
 ( 
 median 
 , 
 vis_refl 
 , 
 'Median (B11, B8, B3)' 
 ) 
 min 
 = 
 col 
 . 
 min 
 () 
 m 
 . 
 add_layer 
 ( 
 min 
 , 
 vis_refl 
 , 
 'Min (B11, B8, B3)' 
 ) 
 max 
 = 
 col 
 . 
 max 
 () 
 m 
 . 
 add_layer 
 ( 
 max 
 , 
 vis_refl 
 , 
 'Max (B11, B8, B3)' 
 ) 
 sum 
 = 
 col 
 . 
 sum 
 () 
 m 
 . 
 add_layer 
 ( 
 sum 
 , 
 { 
 'bands' 
 : 
 [ 
 'MSK_CLDPRB' 
 ], 
 'min' 
 : 
 0 
 , 
 'max' 
 : 
 500 
 }, 
 'Sum (MSK_CLDPRB)' 
 ) 
 product 
 = 
 col 
 . 
 product 
 () 
 m 
 . 
 add_layer 
 ( 
 product 
 , 
 { 
 'bands' 
 : 
 [ 
 'MSK_CLDPRB' 
 ], 
 'min' 
 : 
 0 
 , 
 'max' 
 : 
 1e10 
 }, 
 'Product (MSK_CLDPRB)' 
 , 
 ) 
 # ee.ImageCollection.mode returns the most common value. If multiple mode 
 # values occur, the minimum mode value is returned. 
 mode 
 = 
 col 
 . 
 mode 
 () 
 m 
 . 
 add_layer 
 ( 
 mode 
 , 
 { 
 'bands' 
 : 
 [ 
 'SCL' 
 ], 
 'min' 
 : 
 1 
 , 
 'max' 
 : 
 11 
 }, 
 'Mode (pixel class)' 
 ) 
 # ee.ImageCollection.count returns the frequency of valid observations. Here, 
 # image pixels are masked based on cloud probability to add valid observation 
 # variability to the collection. Note that pixels with no valid observations 
 # are masked out of the returned image. 
 not_cloud_col 
 = 
 col 
 . 
 map 
 ( 
 lambda 
 img 
 : 
 img 
 . 
 updateMask 
 ( 
 img 
 . 
 select 
 ( 
 'MSK_CLDPRB' 
 ) 
 . 
 lte 
 ( 
 10 
 )) 
 ) 
 count 
 = 
 not_cloud_col 
 . 
 count 
 () 
 m 
 . 
 add_layer 
 ( 
 count 
 , 
 { 
 'min' 
 : 
 1 
 , 
 'max' 
 : 
 5 
 }, 
 'Count (not cloud observations)' 
 ) 
 # ee.ImageCollection.mosaic composites images according to their position in 
 # the collection (priority is last to first) and pixel mask status, where 
 # invalid (mask value 0) pixels are filled by preceding valid (mask value >0) 
 # pixels. 
 mosaic 
 = 
 not_cloud_col 
 . 
 mosaic 
 () 
 m 
 . 
 add_layer 
 ( 
 mosaic 
 , 
 vis_refl 
 , 
 'Mosaic (B11, B8, B3)' 
 ) 
 m