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Adds the first value to the second for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.
Usage
Returns
Image.add(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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06 UTC."],[[["\u003cp\u003e\u003ccode\u003eImage.add()\u003c/code\u003e performs pixel-wise addition between two images, adding the values of corresponding bands.\u003c/p\u003e\n"],["\u003cp\u003eIf the input images have different numbers of bands, the single-band image is applied to all bands of the multi-band image.\u003c/p\u003e\n"],["\u003cp\u003eOutput band names and data types are determined based on the input images, prioritizing the longer or first image.\u003c/p\u003e\n"],["\u003cp\u003eNumerical inputs are automatically converted to images, allowing for operations with constants.\u003c/p\u003e\n"],["\u003cp\u003eThis function is commonly used for arithmetic calculations on raster data, such as combining spectral bands or applying offsets.\u003c/p\u003e\n"]]],["The `add()` method combines two images by adding corresponding band values. If one image has a single band, it's applied to all bands of the other. When both images have multiple bands with different names, bands are added pairwise. Output band names are taken from the longer input image, or the first if they are equal in length, with output pixel type being the union of the two inputs.\n"],null,["# ee.Image.add\n\nAdds the first value to the second for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|---------------------|---------|\n| Image.add`(image2)` | Image |\n\n| Argument | Type | Details |\n|----------------|-------|---------------------------------------------------------|\n| this: `image1` | Image | The image from which the left operand bands are taken. |\n| `image2` | Image | The image from which the right operand bands are taken. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\n// A Sentinel-2 surface reflectance image.\nvar img = ee.Image('COPERNICUS/S2_SR/20210109T185751_20210109T185931_T10SEG');\n\n// Subset two image bands and display them on the map.\nvar swir1 = img.select('B11');\nvar swir2 = img.select('B12');\nMap.setCenter(-122.276, 37.456, 12);\nMap.addLayer(swir1, {min: 0, max: 3000}, 'swir1');\nMap.addLayer(swir2, {min: 0, max: 3000}, 'swir2');\n\n// The following examples demonstrate ee.Image arithmetic methods using two\n// single-band ee.Image inputs.\nvar addition = swir1.add(swir2);\nMap.addLayer(addition, {min: 100, max: 6000}, 'addition');\n\nvar subtraction = swir1.subtract(swir2);\nMap.addLayer(subtraction, {min: 0, max: 1500}, 'subtraction');\n\nvar multiplication = swir1.multiply(swir2);\nMap.addLayer(multiplication, {min: 1.9e5, max: 9.4e6}, 'multiplication');\n\nvar division = swir1.divide(swir2);\nMap.addLayer(division, {min: 0, max: 3}, 'division');\n\nvar remainder = swir1.mod(swir2);\nMap.addLayer(remainder, {min: 0, max: 1500}, 'remainder');\n\n// If a number input is provided as the second argument, it will automatically\n// be promoted to an ee.Image object, a convenient shorthand for constants.\nvar exponent = swir1.pow(3);\nMap.addLayer(exponent, {min: 0, max: 2e10}, 'exponent');\n```\nPython setup\n\nSee the [Python Environment](/earth-engine/guides/python_install) page for information on the Python API and using\n`geemap` for interactive development. \n\n```python\nimport ee\nimport geemap.core as geemap\n```\n\n### Colab (Python)\n\n```python\n# A Sentinel-2 surface reflectance image.\nimg = ee.Image('COPERNICUS/S2_SR/20210109T185751_20210109T185931_T10SEG')\n\n# Subset two image bands and display them on the map.\nswir_1 = img.select('B11')\nswir_2 = img.select('B12')\nm = geemap.Map()\nm.set_center(-122.276, 37.456, 12)\nm.add_layer(swir_1, {'min': 0, 'max': 3000}, 'swir_1')\nm.add_layer(swir_2, {'min': 0, 'max': 3000}, 'swir_2')\n\n# The following examples demonstrate ee.Image arithmetic methods using two\n# single-band ee.Image inputs.\naddition = swir_1.add(swir_2)\nm.add_layer(addition, {'min': 100, 'max': 6000}, 'addition')\n\nsubtraction = swir_1.subtract(swir_2)\nm.add_layer(subtraction, {'min': 0, 'max': 1500}, 'subtraction')\n\nmultiplication = swir_1.multiply(swir_2)\nm.add_layer(multiplication, {'min': 1.9e5, 'max': 9.4e6}, 'multiplication')\n\ndivision = swir_1.divide(swir_2)\nm.add_layer(division, {'min': 0, 'max': 3}, 'division')\n\nremainder = swir_1.mod(swir_2)\nm.add_layer(remainder, {'min': 0, 'max': 1500}, 'remainder')\n\n# If a number input is provided as the second argument, it will automatically\n# be promoted to an ee.Image object, a convenient shorthand for constants.\nexponent = swir_1.pow(3)\nm.add_layer(exponent, {'min': 0, 'max': 2e10}, 'exponent')\nm\n```"]]
