ee.Image.updateMask
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Met à jour le masque d'une image à toutes les positions où le masque existant n'est pas nul. L'image de sortie conserve les métadonnées et l'empreinte de l'image d'entrée.
Utilisation | Renvoie |
---|
Image.updateMask(mask) | Image |
Argument | Type | Détails |
---|
ceci : image | Image | Image d'entrée. |
mask | Image | Nouveau masque pour l'image, sous la forme d'une valeur à virgule flottante comprise entre 0 et 1 (0 = non valide, 1 = valide). Si cette image comporte une seule bande, elle est utilisée pour toutes les bandes de l'image d'entrée. Sinon, elle doit comporter le même nombre de bandes que l'image d'entrée. |
Exemples
Éditeur de code (JavaScript)
// A Sentinel-2 surface reflectance image.
var img = ee.Image('COPERNICUS/S2_SR/20210109T185751_20210109T185931_T10SEG');
var trueColorViz = {
bands: ['B4', 'B3', 'B2'],
min: 0,
max: 2700,
gamma: 1.3
};
print('Sentinel-2 image', img);
Map.setCenter(-122.36, 37.47, 10);
Map.addLayer(img, trueColorViz, 'Sentinel-2 image');
// Create a Boolean land mask from the SWIR1 band; water is value 0, land is 1.
var landMask = img.select('B11').gt(100);
print('Land mask', landMask);
Map.addLayer(landMask, {palette: ['blue', 'lightgreen']}, 'Land mask');
// Apply the single-band land mask to all image bands; pixel values equal to 0
// in the mask become invalid in the image.
var imgMasked = img.updateMask(landMask);
print('Image, land only', imgMasked);
Map.addLayer(imgMasked, trueColorViz, 'Image, land only');
// Masks are band-specific. Here, a multi-band mask image is used to update
// corresponding input image band masks.
var imgBandSubset = img.select(['B4', 'B3', 'B2']);
var bandSpecificMasks = imgBandSubset.gt(200);
var imgBandSubsetMasked = imgBandSubset.updateMask(bandSpecificMasks);
print('Multi-band mask image', bandSpecificMasks);
print('Image, variable band masks', imgBandSubsetMasked);
Map.addLayer(bandSpecificMasks, null, 'Multi-band mask image');
Map.addLayer(imgBandSubsetMasked, trueColorViz, 'Image, variable band masks');
// Note that there is only a single alpha channel for visualization, so when
// the ee.Image is rendered as an RGB image or map tiles, a masked pixel in any
// band will result in transparency for all bands.
// Floating point mask values between 0 and 1 will be used to define opacity
// in visualization via Map.addLayer and ee.Image.visualize.
var landMaskFloat = landMask.add(0.65);
var imgMaskedFloat = img.updateMask(landMaskFloat);
print('Image, partially transparent', imgMaskedFloat);
Map.addLayer(imgMaskedFloat, trueColorViz, 'Image, partially transparent');
Configuration de Python
Consultez la page
Environnement Python pour en savoir plus sur l'API Python et sur l'utilisation de geemap
pour le développement interactif.
import ee
import geemap.core as geemap
Colab (Python)
# A Sentinel-2 surface reflectance image.
img = ee.Image('COPERNICUS/S2_SR/20210109T185751_20210109T185931_T10SEG')
true_color_viz = {
'bands': ['B4', 'B3', 'B2'],
'min': 0,
'max': 2700,
'gamma': 1.3,
}
display('Sentinel-2 image', img)
m = geemap.Map()
m.set_center(-122.36, 37.47, 10)
m.add_layer(img, true_color_viz, 'Sentinel-2 image')
# Create a Boolean land mask from the SWIR1 band water is value 0, land is 1.
land_mask = img.select('B11').gt(100)
display('Land mask', land_mask)
m.add_layer(land_mask, {'palette': ['blue', 'lightgreen']}, 'Land mask')
# Apply the single-band land mask to all image bands pixel values equal to 0
# in the mask become invalid in the image.
img_masked = img.updateMask(land_mask)
display('Image, land only', img_masked)
m.add_layer(img_masked, true_color_viz, 'Image, land only')
# Masks are band-specific. Here, a multi-band mask image is used to update
# corresponding input image band masks.
img_band_subset = img.select(['B4', 'B3', 'B2'])
band_specific_masks = img_band_subset.gt(200)
img_band_subset_masked = img_band_subset.updateMask(band_specific_masks)
display('Multi-band mask image', band_specific_masks)
display('Image, variable band masks', img_band_subset_masked)
m.add_layer(band_specific_masks, None, 'Multi-band mask image')
m.add_layer(
img_band_subset_masked, true_color_viz, 'Image, variable band masks'
)
# Note that there is only a single alpha channel for visualization, so when
# the ee.Image is rendered as an RGB image or map tiles, a masked pixel in any
# band will result in transparency for all bands.
# Floating point mask values between 0 and 1 will be used to define opacity
# in visualization via m.add_ee_layer and ee.Image.visualize.
land_mask_float = land_mask.add(0.65)
img_masked_float = img.updateMask(land_mask_float)
display('Image, partially transparent', img_masked_float)
m.add_layer(img_masked_float, true_color_viz, 'Image, partially transparent')
m
Sauf indication contraire, le contenu de cette page est régi par une licence Creative Commons Attribution 4.0, et les échantillons de code sont régis par une licence Apache 2.0. Pour en savoir plus, consultez les Règles du site Google Developers. Java est une marque déposée d'Oracle et/ou de ses sociétés affiliées.
Dernière mise à jour le 2025/07/26 (UTC).
[null,null,["Dernière mise à jour le 2025/07/26 (UTC)."],[[["\u003cp\u003e\u003ccode\u003eupdateMask()\u003c/code\u003e modifies an image's mask, making pixels with a mask value of 0 invalid.\u003c/p\u003e\n"],["\u003cp\u003eIt accepts a single or multi-band image as a mask, applying it to corresponding bands in the input image.\u003c/p\u003e\n"],["\u003cp\u003eThe input image's metadata and footprint are preserved in the output.\u003c/p\u003e\n"],["\u003cp\u003eFloating point mask values (0-1) control pixel opacity during visualization.\u003c/p\u003e\n"]]],["The `updateMask()` function modifies an image's existing mask. It takes a new mask as input, a floating-point image where 0 denotes invalid and 1 denotes valid pixels. When applied, the function updates all image pixels where the current mask is non-zero. The new mask can be single-band, affecting all input image bands, or multi-band, updating bands individually. Mask values between 0 and 1 indicate partial transparency. The output image keeps the input image's metadata and footprint.\n"],null,["# ee.Image.updateMask\n\nUpdates an image's mask at all positions where the existing mask is not zero. The output image retains the metadata and footprint of the input image.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|--------------------------|---------|\n| Image.updateMask`(mask)` | Image |\n\n| Argument | Type | Details |\n|---------------|-------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| this: `image` | Image | Input image. |\n| `mask` | Image | New mask for the image, as a floating-point value in the range \\[0, 1\\] (invalid = 0, valid = 1). If this image has a single band, it is used for all bands in the input image; otherwise, must have the same number of bands as the input image. |\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');\nvar trueColorViz = {\n bands: ['B4', 'B3', 'B2'],\n min: 0,\n max: 2700,\n gamma: 1.3\n};\nprint('Sentinel-2 image', img);\nMap.setCenter(-122.36, 37.47, 10);\nMap.addLayer(img, trueColorViz, 'Sentinel-2 image');\n\n// Create a Boolean land mask from the SWIR1 band; water is value 0, land is 1.\nvar landMask = img.select('B11').gt(100);\nprint('Land mask', landMask);\nMap.addLayer(landMask, {palette: ['blue', 'lightgreen']}, 'Land mask');\n\n// Apply the single-band land mask to all image bands; pixel values equal to 0\n// in the mask become invalid in the image.\nvar imgMasked = img.updateMask(landMask);\nprint('Image, land only', imgMasked);\nMap.addLayer(imgMasked, trueColorViz, 'Image, land only');\n\n// Masks are band-specific. Here, a multi-band mask image is used to update\n// corresponding input image band masks.\nvar imgBandSubset = img.select(['B4', 'B3', 'B2']);\nvar bandSpecificMasks = imgBandSubset.gt(200);\nvar imgBandSubsetMasked = imgBandSubset.updateMask(bandSpecificMasks);\nprint('Multi-band mask image', bandSpecificMasks);\nprint('Image, variable band masks', imgBandSubsetMasked);\nMap.addLayer(bandSpecificMasks, null, 'Multi-band mask image');\nMap.addLayer(imgBandSubsetMasked, trueColorViz, 'Image, variable band masks');\n// Note that there is only a single alpha channel for visualization, so when\n// the ee.Image is rendered as an RGB image or map tiles, a masked pixel in any\n// band will result in transparency for all bands.\n\n// Floating point mask values between 0 and 1 will be used to define opacity\n// in visualization via Map.addLayer and ee.Image.visualize.\nvar landMaskFloat = landMask.add(0.65);\nvar imgMaskedFloat = img.updateMask(landMaskFloat);\nprint('Image, partially transparent', imgMaskedFloat);\nMap.addLayer(imgMaskedFloat, trueColorViz, 'Image, partially transparent');\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')\ntrue_color_viz = {\n 'bands': ['B4', 'B3', 'B2'],\n 'min': 0,\n 'max': 2700,\n 'gamma': 1.3,\n}\ndisplay('Sentinel-2 image', img)\nm = geemap.Map()\nm.set_center(-122.36, 37.47, 10)\nm.add_layer(img, true_color_viz, 'Sentinel-2 image')\n\n# Create a Boolean land mask from the SWIR1 band water is value 0, land is 1.\nland_mask = img.select('B11').gt(100)\ndisplay('Land mask', land_mask)\nm.add_layer(land_mask, {'palette': ['blue', 'lightgreen']}, 'Land mask')\n\n# Apply the single-band land mask to all image bands pixel values equal to 0\n# in the mask become invalid in the image.\nimg_masked = img.updateMask(land_mask)\ndisplay('Image, land only', img_masked)\nm.add_layer(img_masked, true_color_viz, 'Image, land only')\n\n# Masks are band-specific. Here, a multi-band mask image is used to update\n# corresponding input image band masks.\nimg_band_subset = img.select(['B4', 'B3', 'B2'])\nband_specific_masks = img_band_subset.gt(200)\nimg_band_subset_masked = img_band_subset.updateMask(band_specific_masks)\ndisplay('Multi-band mask image', band_specific_masks)\ndisplay('Image, variable band masks', img_band_subset_masked)\nm.add_layer(band_specific_masks, None, 'Multi-band mask image')\nm.add_layer(\n img_band_subset_masked, true_color_viz, 'Image, variable band masks'\n)\n# Note that there is only a single alpha channel for visualization, so when\n# the ee.Image is rendered as an RGB image or map tiles, a masked pixel in any\n# band will result in transparency for all bands.\n\n# Floating point mask values between 0 and 1 will be used to define opacity\n# in visualization via m.add_ee_layer and ee.Image.visualize.\nland_mask_float = land_mask.add(0.65)\nimg_masked_float = img.updateMask(land_mask_float)\ndisplay('Image, partially transparent', img_masked_float)\nm.add_layer(img_masked_float, true_color_viz, 'Image, partially transparent')\nm\n```"]]