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ee.Image.remap
使用集合让一切井井有条
根据您的偏好保存内容并对其进行分类。
从输入值到输出值的映射,由两个并行列表表示。如果输入值未包含在输入列表中,则会将其设置为 defaultValue(如果已提供),否则会将其屏蔽。请注意,由于浮点精度误差,包含浮点值的输入有时可能无法匹配。
用法 | 返回 |
---|
Image.remap(from, to, defaultValue, bandName) | 图片 |
参数 | 类型 | 详细信息 |
---|
此:image | 图片 | 应用重映射的图片。 |
from | 列表 | 源值(数字或 ee.Array)。此列表中的所有值都将映射到“to”中的相应值。 |
to | 列表 | 目标值(数字或 ee.Array)。用于替换“from”中的相应值。必须具有与“from”相同数量的值。 |
defaultValue | 对象,默认值:null | 用于替换“from”中没有匹配的值的默认值。如果未指定,则会屏蔽不匹配的值。 |
bandName | 字符串,默认值:null | 要重新映射的频段的名称。如果未指定,则使用图片中的第一个波段。 |
示例
代码编辑器 (JavaScript)
// A land cover image.
var img = ee.Image('ESA/WorldCover/v100/2020');
// A list of pixel values to replace.
var fromList = [10, 20, 30, 40, 50, 60, 70, 80, 90, 95, 100];
// A corresponding list of replacement values (10 becomes 1, 20 becomes 2, etc).
var toList = [ 1, 2, 2, 2, 3, 2, 4, 5, 6, 6, 2];
// Replace pixel values in the image. If the image is multi-band, only the
// remapped band will be returned. The returned band name is "remapped".
// Input image properties are retained in the output image.
var imgRemap = img.remap({
from: fromList,
to: toList,
defaultValue: 0,
bandName: 'Map'
});
// Display the original and remapped images. Note that similar land cover
// classes in the original image are grouped into aggregate classes by
// from → to value mapping.
Map.addLayer(img, null, 'Original image');
Map.addLayer(imgRemap, {
min: 1, max: 6,
palette:'darkgreen, lightgreen, red, white, blue, lightblue'
}, 'Remapped image');
Python 设置
如需了解 Python API 和如何使用 geemap
进行交互式开发,请参阅
Python 环境页面。
import ee
import geemap.core as geemap
Colab (Python)
# A land cover image.
img = ee.Image('ESA/WorldCover/v100/2020')
# A list of pixel values to replace.
from_list = [10, 20, 30, 40, 50, 60, 70, 80, 90, 95, 100]
# A corresponding list of replacement values (10 becomes 1, 20 becomes 2, etc).
to_list = [1, 2, 2, 2, 3, 2, 4, 5, 6, 6, 2]
# Replace pixel values in the image. If the image is multi-band, only the
# remapped band will be returned. The returned band name is "remapped".
# Input image properties are retained in the output image.
img_remap = img.remap(from_list, to_list, defaultValue=0, bandName='Map')
# Display the original and remapped images. Note that similar land cover
# classes in the original image are grouped into aggregate classes by
# from → to value mapping.
m = geemap.Map()
m.add_layer(img, None, 'Original image')
m.add_layer(
img_remap,
{
'min': 1,
'max': 6,
'palette': [
'darkgreen',
'lightgreen',
'red',
'white',
'blue',
'lightblue',
],
},
'Remapped image',
)
m
如未另行说明,那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可,并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情,请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
最后更新时间 (UTC):2025-07-26。
[null,null,["最后更新时间 (UTC):2025-07-26。"],[],["The `Image.remap` function replaces pixel values in an image based on two parallel lists: `from` and `to`. Values in `from` are mapped to corresponding values in `to`. Unmatched values are set to `defaultValue` if provided, otherwise they are masked. The function allows users to specify a `bandName`. It is designed to aggregate similar classes by mapping original values to new values, the remapped band name is \"remapped\".\n"],null,[]]