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ee.Image.mod
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你可以依據偏好儲存及分類內容。
針對 image1 和 image2 中每個相符的波段組合,計算第一個值除以第二個值所得的餘數。如果 image1 或 image2 只有 1 個頻帶,則會與另一張圖片中的所有頻帶進行比較。如果圖片的波段數量相同,但名稱不同,系統會依自然順序成對使用。輸出頻帶會以較長的輸入命名,如果長度相同,則會以 image1 的順序命名。輸出像素的類型是輸入類型的聯集。
引數 | 類型 | 詳細資料 |
---|
這個:image1 | 圖片 | 用來擷取左運算元頻帶的圖片。 |
image2 | 圖片 | 系統會從這張圖片擷取右運算元頻帶。 |
範例
程式碼編輯器 (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');
Python 設定
請參閱
Python 環境頁面,瞭解 Python API 和如何使用 geemap
進行互動式開發。
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
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上次更新時間:2025-07-26 (世界標準時間)。
[null,null,["上次更新時間:2025-07-26 (世界標準時間)。"],[[["\u003cp\u003e\u003ccode\u003emod()\u003c/code\u003e calculates the remainder when the first image is divided by the second, band-by-band.\u003c/p\u003e\n"],["\u003cp\u003eIt handles single-band images by applying them to all bands of the other image.\u003c/p\u003e\n"],["\u003cp\u003eOutput bands are named based on the input images, prioritizing the longer one's band names.\u003c/p\u003e\n"],["\u003cp\u003eThe output pixel type combines the types of the input images.\u003c/p\u003e\n"],["\u003cp\u003eThe method returns a new \u003ccode\u003eImage\u003c/code\u003e object containing the calculated remainders.\u003c/p\u003e\n"]]],["The `mod()` function calculates the remainder of a division operation between two images (`image1` and `image2`). It pairs bands from each image. If one image has a single band, that band is used against all bands of the other. Otherwise, bands are paired in order. The output image's band names are based on the input images' names, and the output pixel type is a union of the input types. Examples for other operations such as addition, subtraction, division, multiplication, and exponent are provided.\n"],null,["# ee.Image.mod\n\nCalculates the remainder of the first value divided by 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.mod`(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```"]]