ee.Image.remap

Maps from input values to output values, represented by two parallel lists. Any input values not included in the input list are either set to defaultValue if it is given or masked if it isn't. Note that inputs containing floating point values might sometimes fail to match due to floating point precision errors.
Usage Returns
Image. remap (from, to, defaultValue , bandName ) Image
Argument Type Details
this: image
Image The image to which the remapping is applied.
from
List The source values (numbers or ee.Array). All values in this list will be mapped to the corresponding value in 'to'.
to
List The destination values (numbers or ee.Array). These are used to replace the corresponding values in 'from'. Must have the same number of values as 'from'.
defaultValue
Object, default: null The default value to replace values that weren't matched by a value in 'from'. If not specified, unmatched values are masked out.
bandName
String, default: null The name of the band to remap. If not specified, the first band in the image is used.

Examples

Code Editor (JavaScript)

 // A land cover image. 
 var 
  
 img 
  
 = 
  
 ee 
 . 
 Image 
 ( 
 'ESA/WorldCover/v100/2020' 
 ); 
 // A list of pixel values to replace. 
 var 
  
 fromList 
  
 = 
  
 [ 
 10 
 , 
  
 20 
 , 
  
 30 
 , 
  
 40 
 , 
  
 50 
 , 
  
 60 
 , 
  
 70 
 , 
  
 80 
 , 
  
 90 
 , 
  
 95 
 , 
  
 100 
 ]; 
 // A corresponding list of replacement values (10 becomes 1, 20 becomes 2, etc). 
 var 
  
 toList 
  
 = 
  
 [ 
  
 1 
 , 
  
 2 
 , 
  
 2 
 , 
  
 2 
 , 
  
 3 
 , 
  
 2 
 , 
  
 4 
 , 
  
 5 
 , 
  
 6 
 , 
  
 6 
 , 
  
 2 
 ]; 
 // Replace pixel values in the image. If the image is multi-band, only the 
 // remapped band will be returned. The returned band name is "remapped". 
 // Input image properties are retained in the output image. 
 var 
  
 imgRemap 
  
 = 
  
 img 
 . 
 remap 
 ({ 
  
 from 
 : 
  
 fromList 
 , 
  
 to 
 : 
  
 toList 
 , 
  
 defaultValue 
 : 
  
 0 
 , 
  
 bandName 
 : 
  
 'Map' 
 }); 
 // Display the original and remapped images. Note that similar land cover 
 // classes in the original image are grouped into aggregate classes by 
 // from → to value mapping. 
 Map 
 . 
 addLayer 
 ( 
 img 
 , 
  
 null 
 , 
  
 'Original image' 
 ); 
 Map 
 . 
 addLayer 
 ( 
 imgRemap 
 , 
  
 { 
  
 min 
 : 
  
 1 
 , 
  
 max 
 : 
  
 6 
 , 
  
 palette 
 : 
 'darkgreen, lightgreen, red, white, blue, lightblue' 
  
 }, 
  
 'Remapped image' 
 ); 

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 land cover image. 
 img 
 = 
 ee 
 . 
 Image 
 ( 
 'ESA/WorldCover/v100/2020' 
 ) 
 # A list of pixel values to replace. 
 from_list 
 = 
 [ 
 10 
 , 
 20 
 , 
 30 
 , 
 40 
 , 
 50 
 , 
 60 
 , 
 70 
 , 
 80 
 , 
 90 
 , 
 95 
 , 
 100 
 ] 
 # A corresponding list of replacement values (10 becomes 1, 20 becomes 2, etc). 
 to_list 
 = 
 [ 
 1 
 , 
 2 
 , 
 2 
 , 
 2 
 , 
 3 
 , 
 2 
 , 
 4 
 , 
 5 
 , 
 6 
 , 
 6 
 , 
 2 
 ] 
 # Replace pixel values in the image. If the image is multi-band, only the 
 # remapped band will be returned. The returned band name is "remapped". 
 # Input image properties are retained in the output image. 
 img_remap 
 = 
 img 
 . 
 remap 
 ( 
 from_list 
 , 
 to_list 
 , 
 defaultValue 
 = 
 0 
 , 
 bandName 
 = 
 'Map' 
 ) 
 # Display the original and remapped images. Note that similar land cover 
 # classes in the original image are grouped into aggregate classes by 
 # from → to value mapping. 
 m 
 = 
 geemap 
 . 
 Map 
 () 
 m 
 . 
 add_layer 
 ( 
 img 
 , 
 None 
 , 
 'Original image' 
 ) 
 m 
 . 
 add_layer 
 ( 
 img_remap 
 , 
 { 
 'min' 
 : 
 1 
 , 
 'max' 
 : 
 6 
 , 
 'palette' 
 : 
 [ 
 'darkgreen' 
 , 
 'lightgreen' 
 , 
 'red' 
 , 
 'white' 
 , 
 'blue' 
 , 
 'lightblue' 
 , 
 ], 
 }, 
 'Remapped image' 
 , 
 ) 
 m 
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