ee.Image.expression
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Wertet einen arithmetischen Ausdruck für ein Bild aus, wobei möglicherweise zusätzliche Bilder einbezogen werden.
Die Bänder des primären Eingabebilds sind über die integrierte Funktion b() verfügbar, z. B. als b(0) oder b('band_name').
Variablen im Ausdruck werden als zusätzliche Bildparameter interpretiert, die in „opt_map“ angegeben werden müssen. Auf die Bänder jedes solchen Bildes kann über image.band_name oder image[0] zugegriffen werden.
Sowohl b() als auch image[] unterstützen mehrere Argumente, um mehrere Bänder anzugeben, z. B. b(1, 'name', 3). Wenn Sie „b()“ ohne Argumente aufrufen oder eine Variable allein verwenden, werden alle Bänder des Bildes zurückgegeben.
Wenn das Ergebnis eines Ausdrucks ein einzelnes Band ist, kann ihm mit dem Operator „=“ ein Name zugewiesen werden (z.B. x = a + b).
Gibt das Bild zurück, das durch den angegebenen Ausdruck berechnet wird.
Nutzung | Ausgabe |
---|
Image.expression(expression, map) | Bild |
Argument | Typ | Details |
---|
So gehts: image | Bild | Die Image-Instanz. |
expression | String | Der Ausdruck, der ausgewertet werden soll. |
map | Dictionary<Image>, optional | Eine Karte der Eingabebilder, die nach Namen verfügbar sind. |
Beispiele
Code-Editor (JavaScript)
// The following expressions calculate the normalized difference vegetation
// index (NDVI): (NIR - Red) / (NIR + Red).
// NIR is Landsat 8 L2 band 'SR_B5', the 4th band index.
// Red is Landsat 8 L2 band 'SR_B4', the 3rd band index.
// A Landsat 8 L2 surface reflectance image.
var img = ee.Image('LANDSAT/LC08/C02/T1_L2/LC08_044034_20210508');
// Visualization parameters for NDVI.
var ndviVis = {min: 0, max: 0.5};
// Expression using image band indices.
var bandIndexExp = '(b(4) - b(3)) / (b(4) + b(3))';
var bandIndexImg = img.expression(bandIndexExp).rename('NDVI');
Map.setCenter(-122.14, 37.38, 11);
Map.addLayer(bandIndexImg, ndviVis, 'NDVI 1');
// Expression using image band names.
var bandNameExp = '(b("SR_B5") - b("SR_B4")) / (b("SR_B5") + b("SR_B4"))';
var bandNameImg = img.expression(bandNameExp).rename('NDVI');
Map.addLayer(bandNameImg, ndviVis, 'NDVI 2');
// Expression using named variables.
var namedVarsExp = '(NIR - Red) / (NIR + Red)';
var namedVarsImg = ee.Image().expression({
expression: namedVarsExp,
map: {
NIR: img.select('SR_B5'),
Red: img.select('SR_B4')
}
}).rename('NDVI');
Map.addLayer(namedVarsImg, ndviVis, 'NDVI 3');
// Expression using named variables with image band access by dot notation.
var namedVarsDotExp = '(ls8.SR_B5 - ls8.SR_B4) / (ls8.SR_B5 + ls8.SR_B4)';
var namedVarsDotImg = ee.Image().expression({
expression: namedVarsDotExp,
map: {ls8: img}
}).rename('NDVI');
Map.addLayer(namedVarsDotImg, ndviVis, 'NDVI 4');
// Expressions can use arithmetic operators (+ - * / % **), relational
// operators (== != < > <= >=), logical operators (&& || ! ^), the ternary
// operator (condition ? ifTrue : ifFalse), and a subset of JavaScript Math
// functions. Math functions are called by name directly, they are not accessed
// from the Math object (e.g., sqrt() instead of Math.sqrt()).
var jsMathExp = 'c = sqrt(pow(a, 2) + pow(b, 2))';
var jsMathImg = ee.Image().expression({
expression: jsMathExp,
map: {
a: ee.Image(5),
b: img.select('SR_B2')
}
});
Map.addLayer(jsMathImg, {min: 5000, max: 20000}, 'Hypotenuse', false);
Python einrichten
Informationen zur Python API und zur Verwendung von geemap
für die interaktive Entwicklung finden Sie auf der Seite
Python-Umgebung.
import ee
import geemap.core as geemap
Colab (Python)
# The following expressions calculate the normalized difference vegetation
# index (NDVI): (NIR - Red) / (NIR + Red).
# NIR is Landsat 8 L2 band 'SR_B5', the 4th band index.
# Red is Landsat 8 L2 band 'SR_B4', the 3rd band index.
# A Landsat 8 L2 surface reflectance image.
img = ee.Image('LANDSAT/LC08/C02/T1_L2/LC08_044034_20210508')
# Visualization parameters for NDVI.
ndvi_vis = {'min': 0, 'max': 0.5}
# Expression using image band indices.
band_index_exp = '(b(4) - b(3)) / (b(4) + b(3))'
band_index_img = img.expression(band_index_exp).rename('NDVI')
m = geemap.Map()
m.set_center(-122.14, 37.38, 11)
m.add_layer(band_index_img, ndvi_vis, 'NDVI 1')
# Expression using image band names.
band_name_exp = '(b("SR_B5") - b("SR_B4")) / (b("SR_B5") + b("SR_B4"))'
band_name_img = img.expression(band_name_exp).rename('NDVI')
m.add_layer(band_name_img, ndvi_vis, 'NDVI 2')
# Expression using named variables.
named_vars_exp = '(NIR - Red) / (NIR + Red)'
named_vars_img = (
ee.Image()
.expression(
expression=named_vars_exp,
opt_map={'NIR': img.select('SR_B5'), 'Red': img.select('SR_B4')},
)
.rename('NDVI')
)
m.add_layer(named_vars_img, ndvi_vis, 'NDVI 3')
# Expression using named variables with image band access by dot notation.
named_vars_dot_exp = '(ls8.SR_B5 - ls8.SR_B4) / (ls8.SR_B5 + ls8.SR_B4)'
named_vars_dot_img = (
ee.Image()
.expression(expression=named_vars_dot_exp, opt_map={'ls8': img})
.rename('NDVI')
)
m.add_layer(named_vars_dot_img, ndvi_vis, 'NDVI 4')
# Expressions can use arithmetic operators (+ - * / % **), relational
# operators (== != < > <= >=), logical operators (&& || ! ^), the ternary
# operator (condition ? ifTrue : ifFalse), and a subset of JavaScript Math
# functions. Math functions are called by name directly, they are not accessed
# from the Math object (e.g., sqrt() instead of Math.sqrt()).
js_math_exp = 'c = sqrt(pow(a, 2) + pow(b, 2))'
js_math_img = ee.Image().expression(
expression=js_math_exp, opt_map={'a': ee.Image(5), 'b': img.select('SR_B2')}
)
m.add_layer(js_math_img, {'min': 5000, 'max': 20000}, 'Hypotenuse', False)
m
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Zuletzt aktualisiert: 2025-07-25 (UTC).
[null,null,["Zuletzt aktualisiert: 2025-07-25 (UTC)."],[[["\u003cp\u003e\u003ccode\u003eImage.expression()\u003c/code\u003e allows you to perform arithmetic calculations on images using expressions.\u003c/p\u003e\n"],["\u003cp\u003eYou can access image bands within the expression using \u003ccode\u003eb()\u003c/code\u003e with band indices or names, or by defining variables representing images.\u003c/p\u003e\n"],["\u003cp\u003eExpressions can incorporate arithmetic, relational, logical, and ternary operators, along with select JavaScript Math functions.\u003c/p\u003e\n"],["\u003cp\u003eNamed variables representing images can be used in the expression, and accessed by their names or through dot notation if they represent images.\u003c/p\u003e\n"],["\u003cp\u003eThe expression's result is a new image which can be assigned a name using the '=' operator if it is single-banded.\u003c/p\u003e\n"]]],[],null,["# ee.Image.expression\n\n\u003cbr /\u003e\n\nEvaluates an arithmetic expression on an image, possibly involving additional images.\n\n\u003cbr /\u003e\n\nThe bands of the primary input image are available using the built-in function b(), as b(0) or b('band_name').\n\nVariables in the expression are interpreted as additional image parameters which must be supplied in opt_map. The bands of each such image can be accessed like image.band_name or image\\[0\\].\n\nBoth b() and image\\[\\] allow multiple arguments, to specify multiple bands, such as b(1, 'name', 3). Calling b() with no arguments, or using a variable by itself, returns all bands of the image.\n\nIf the result of an expression is a single band, it can be assigned a name using the '=' operator (e.g.: x = a + b).\n\nReturns the image computed by the provided expression.\n\n| Usage | Returns |\n|-----------------------------------------|---------|\n| Image.expression`(expression, `*map*`)` | Image |\n\n| Argument | Type | Details |\n|---------------|-------------------------------|------------------------------------------|\n| this: `image` | Image | The Image instance. |\n| `expression` | String | The expression to evaluate. |\n| `map` | Dictionary\\\u003cImage\\\u003e, optional | A map of input images available by name. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\n// The following expressions calculate the normalized difference vegetation\n// index (NDVI): (NIR - Red) / (NIR + Red).\n// NIR is Landsat 8 L2 band 'SR_B5', the 4th band index.\n// Red is Landsat 8 L2 band 'SR_B4', the 3rd band index.\n\n// A Landsat 8 L2 surface reflectance image.\nvar img = ee.Image('LANDSAT/LC08/C02/T1_L2/LC08_044034_20210508');\n\n// Visualization parameters for NDVI.\nvar ndviVis = {min: 0, max: 0.5};\n\n// Expression using image band indices.\nvar bandIndexExp = '(b(4) - b(3)) / (b(4) + b(3))';\nvar bandIndexImg = img.expression(bandIndexExp).rename('NDVI');\nMap.setCenter(-122.14, 37.38, 11);\nMap.addLayer(bandIndexImg, ndviVis, 'NDVI 1');\n\n// Expression using image band names.\nvar bandNameExp = '(b(\"SR_B5\") - b(\"SR_B4\")) / (b(\"SR_B5\") + b(\"SR_B4\"))';\nvar bandNameImg = img.expression(bandNameExp).rename('NDVI');\nMap.addLayer(bandNameImg, ndviVis, 'NDVI 2');\n\n// Expression using named variables.\nvar namedVarsExp = '(NIR - Red) / (NIR + Red)';\nvar namedVarsImg = ee.Image().expression({\n expression: namedVarsExp,\n map: {\n NIR: img.select('SR_B5'),\n Red: img.select('SR_B4')\n }\n}).rename('NDVI');\nMap.addLayer(namedVarsImg, ndviVis, 'NDVI 3');\n\n// Expression using named variables with image band access by dot notation.\nvar namedVarsDotExp = '(ls8.SR_B5 - ls8.SR_B4) / (ls8.SR_B5 + ls8.SR_B4)';\nvar namedVarsDotImg = ee.Image().expression({\n expression: namedVarsDotExp,\n map: {ls8: img}\n}).rename('NDVI');\nMap.addLayer(namedVarsDotImg, ndviVis, 'NDVI 4');\n\n// Expressions can use arithmetic operators (+ - * / % **), relational\n// operators (== != \u003c \u003e \u003c= \u003e=), logical operators (&& || ! ^), the ternary\n// operator (condition ? ifTrue : ifFalse), and a subset of JavaScript Math\n// functions. Math functions are called by name directly, they are not accessed\n// from the Math object (e.g., sqrt() instead of Math.sqrt()).\nvar jsMathExp = 'c = sqrt(pow(a, 2) + pow(b, 2))';\nvar jsMathImg = ee.Image().expression({\n expression: jsMathExp,\n map: {\n a: ee.Image(5),\n b: img.select('SR_B2')\n }\n});\nMap.addLayer(jsMathImg, {min: 5000, max: 20000}, 'Hypotenuse', false);\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# The following expressions calculate the normalized difference vegetation\n# index (NDVI): (NIR - Red) / (NIR + Red).\n# NIR is Landsat 8 L2 band 'SR_B5', the 4th band index.\n# Red is Landsat 8 L2 band 'SR_B4', the 3rd band index.\n\n# A Landsat 8 L2 surface reflectance image.\nimg = ee.Image('LANDSAT/LC08/C02/T1_L2/LC08_044034_20210508')\n\n# Visualization parameters for NDVI.\nndvi_vis = {'min': 0, 'max': 0.5}\n\n# Expression using image band indices.\nband_index_exp = '(b(4) - b(3)) / (b(4) + b(3))'\nband_index_img = img.expression(band_index_exp).rename('NDVI')\nm = geemap.Map()\nm.set_center(-122.14, 37.38, 11)\nm.add_layer(band_index_img, ndvi_vis, 'NDVI 1')\n\n# Expression using image band names.\nband_name_exp = '(b(\"SR_B5\") - b(\"SR_B4\")) / (b(\"SR_B5\") + b(\"SR_B4\"))'\nband_name_img = img.expression(band_name_exp).rename('NDVI')\nm.add_layer(band_name_img, ndvi_vis, 'NDVI 2')\n\n# Expression using named variables.\nnamed_vars_exp = '(NIR - Red) / (NIR + Red)'\nnamed_vars_img = (\n ee.Image()\n .expression(\n expression=named_vars_exp,\n opt_map={'NIR': img.select('SR_B5'), 'Red': img.select('SR_B4')},\n )\n .rename('NDVI')\n)\nm.add_layer(named_vars_img, ndvi_vis, 'NDVI 3')\n\n# Expression using named variables with image band access by dot notation.\nnamed_vars_dot_exp = '(ls8.SR_B5 - ls8.SR_B4) / (ls8.SR_B5 + ls8.SR_B4)'\nnamed_vars_dot_img = (\n ee.Image()\n .expression(expression=named_vars_dot_exp, opt_map={'ls8': img})\n .rename('NDVI')\n)\nm.add_layer(named_vars_dot_img, ndvi_vis, 'NDVI 4')\n\n# Expressions can use arithmetic operators (+ - * / % **), relational\n# operators (== != \u003c \u003e \u003c= \u003e=), logical operators (&& || ! ^), the ternary\n# operator (condition ? ifTrue : ifFalse), and a subset of JavaScript Math\n# functions. Math functions are called by name directly, they are not accessed\n# from the Math object (e.g., sqrt() instead of Math.sqrt()).\njs_math_exp = 'c = sqrt(pow(a, 2) + pow(b, 2))'\njs_math_img = ee.Image().expression(\n expression=js_math_exp, opt_map={'a': ee.Image(5), 'b': img.select('SR_B2')}\n)\nm.add_layer(js_math_img, {'min': 5000, 'max': 20000}, 'Hypotenuse', False)\nm\n```"]]