AI-generated Key Takeaways
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This method divides the first image by the second, returning 0 for division by 0.
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Band matching is done pairwise, with specific rules for images with different numbers of bands.
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The output bands are named based on the input images' lengths and band names.
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The output pixel type is a combination of the input types.
| Usage | Returns |
|---|---|
Image.
divide
(image2)
|
Image |
| Argument | Type | Details |
|---|---|---|
|
this:
image1
|
Image | The image from which the left operand bands are taken. |
image2
|
Image | The image from which the right operand bands are taken. |
Examples
Code Editor (JavaScript)
// A Sentinel-2 surface reflectance image. var img = ee . Image ( 'COPERNICUS/S2_SR/20210109T185751_20210109T185931_T10SEG' ); // Subset two image bands and display them on the map. var swir1 = img . select ( 'B11' ); var swir2 = img . select ( 'B12' ); Map . setCenter ( - 122.276 , 37.456 , 12 ); Map . addLayer ( swir1 , { min : 0 , max : 3000 }, 'swir1' ); Map . addLayer ( swir2 , { min : 0 , max : 3000 }, 'swir2' ); // The following examples demonstrate ee.Image arithmetic methods using two // single-band ee.Image inputs. var addition = swir1 . add ( swir2 ); Map . addLayer ( addition , { min : 100 , max : 6000 }, 'addition' ); var subtraction = swir1 . subtract ( swir2 ); Map . addLayer ( subtraction , { min : 0 , max : 1500 }, 'subtraction' ); var multiplication = swir1 . multiply ( swir2 ); Map . addLayer ( multiplication , { min : 1.9e5 , max : 9.4e6 }, 'multiplication' ); var division = swir1 . divide ( swir2 ); Map . addLayer ( division , { min : 0 , max : 3 }, 'division' ); var remainder = swir1 . mod ( swir2 ); Map . addLayer ( remainder , { min : 0 , max : 1500 }, 'remainder' ); // If a number input is provided as the second argument, it will automatically // be promoted to an ee.Image object, a convenient shorthand for constants. var exponent = swir1 . pow ( 3 ); Map . addLayer ( exponent , { min : 0 , max : 2e10 }, 'exponent' );
import ee import geemap.core as geemap
Colab (Python)
# A Sentinel-2 surface reflectance image. img = ee . Image ( 'COPERNICUS/S2_SR/20210109T185751_20210109T185931_T10SEG' ) # Subset two image bands and display them on the map. swir_1 = img . select ( 'B11' ) swir_2 = img . select ( 'B12' ) m = geemap . Map () m . set_center ( - 122.276 , 37.456 , 12 ) m . add_layer ( swir_1 , { 'min' : 0 , 'max' : 3000 }, 'swir_1' ) m . add_layer ( swir_2 , { 'min' : 0 , 'max' : 3000 }, 'swir_2' ) # The following examples demonstrate ee.Image arithmetic methods using two # single-band ee.Image inputs. addition = swir_1 . add ( swir_2 ) m . add_layer ( addition , { 'min' : 100 , 'max' : 6000 }, 'addition' ) subtraction = swir_1 . subtract ( swir_2 ) m . add_layer ( subtraction , { 'min' : 0 , 'max' : 1500 }, 'subtraction' ) multiplication = swir_1 . multiply ( swir_2 ) m . add_layer ( multiplication , { 'min' : 1.9e5 , 'max' : 9.4e6 }, 'multiplication' ) division = swir_1 . divide ( swir_2 ) m . add_layer ( division , { 'min' : 0 , 'max' : 3 }, 'division' ) remainder = swir_1 . mod ( swir_2 ) m . add_layer ( remainder , { 'min' : 0 , 'max' : 1500 }, 'remainder' ) # If a number input is provided as the second argument, it will automatically # be promoted to an ee.Image object, a convenient shorthand for constants. exponent = swir_1 . pow ( 3 ) m . add_layer ( exponent , { 'min' : 0 , 'max' : 2e10 }, 'exponent' ) m

