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本頁面由 Cloud Translation API 翻譯而成。

ee.Image.sampleRegions

將與一或多個區域相交的圖片像素 (以指定比例) 轉換為特徵，並以 FeatureCollection 形式傳回。每個輸出特徵都會有輸入圖片每個波段的屬性，以及從輸入特徵複製的任何指定屬性。

請注意，幾何圖形會對齊像素中心。

用量	傳回
`Image.sampleRegions(collection, properties, scale, projection, tileScale, geometries)`	FeatureCollection

引數	類型	詳細資料
這個：`image`	圖片	要取樣的圖片。
`collection`	FeatureCollection	要取樣的區域。
`properties`	清單，預設值為空值	要從每個輸入特徵複製的屬性清單。預設為所有非系統屬性。
`scale`	浮點值，預設值為空值	投影的公尺名義比例，用於取樣。如未指定，系統會使用圖片第一個波段的比例。
`projection`	投影，預設值：null	要取樣的投影。如未指定，系統會使用圖片第一個波段的投影。如果除了比例外還指定了其他值，系統會重新調整為指定比例。
`tileScale`	浮點值，預設值為 1	用於縮小聚合圖塊大小的縮放比例因數；使用較大的 tileScale (例如 2 或 4) 可能會啟用運算，導致記憶體不足。
`geometries`	布林值，預設值為 false	如果設為 true，結果會包含每個取樣像素的點幾何。否則系統會省略幾何圖形 (節省記憶體)。

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');
Map.setCenter(-122.503881, 37.765588, 18);
Map.addLayer(img, {bands: ['B11', 'B8', 'B3'], min: 100, max: 4500}, 'img');

// A feature collection with two polygon regions each intersecting 36
// pixels at 10 m scale.
var fcPolygon = ee.FeatureCollection([
  ee.Feature(ee.Geometry.Rectangle(
    -122.50620929, 37.76502806, -122.50552264, 37.76556663), {id: 0}),
  ee.Feature(ee.Geometry.Rectangle(
    -122.50530270, 37.76565568, -122.50460533, 37.76619425), {id: 1})
]);
Map.addLayer(fcPolygon, {color: 'yellow'}, 'fcPolygon');

var fcPolygonSamp = img.sampleRegions({
  collection: fcPolygon,
  scale: 10,
  geometries: true
});
// Note that 7 pixels are missing from the sample. If a pixel contains a masked
// band value it will be excluded from the sample. In this case, the TCI_B band
// is masked for each unsampled pixel.
print('A feature per pixel (at given scale) in each region', fcPolygonSamp);
Map.addLayer(fcPolygonSamp, {color: 'purple'}, 'fcPolygonSamp');

// A feature collection with two points intersecting two different pixels.
// This example is included to show the behavior for point geometries. In
// practice, if the feature collection is all points, ee.Image.reduceRegions
// should be used instead to save memory.
var fcPoint = ee.FeatureCollection([
  ee.Feature(ee.Geometry.Point([-122.50309256, 37.76605006]), {id: 0}),
  ee.Feature(ee.Geometry.Point([-122.50344661, 37.76560903]), {id: 1})
]);
Map.addLayer(fcPoint, {color: 'cyan'}, 'fcPoint');

var fcPointSamp = img.sampleRegions({
  collection: fcPoint,
  scale: 10
});
print('A feature per point', fcPointSamp);

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')
m = geemap.Map()
m.set_center(-122.503881, 37.765588, 18)
m.add_layer(
    img, {'bands': ['B11', 'B8', 'B3'], 'min': 100, 'max': 4500}, 'img'
)
display(m)

# A feature collection with two polygon regions each intersecting 36
# pixels at 10 m scale.
fc_polygon = ee.FeatureCollection([
    ee.Feature(
        ee.Geometry.Rectangle(
            -122.50620929, 37.76502806, -122.50552264, 37.76556663
        ),
        {'id': 0},
    ),
    ee.Feature(
        ee.Geometry.Rectangle(
            -122.50530270, 37.76565568, -122.50460533, 37.76619425
        ),
        {'id': 1},
    ),
])
m.add_layer(fc_polygon, {'color': 'yellow'}, 'fc_polygon')

fc_polygon_samp = img.sampleRegions(
    collection=fc_polygon, scale=10, geometries=True
)
# Note that 7 pixels are missing from the sample. If a pixel contains a masked
# band value it will be excluded from the sample. In this case, the TCI_B band
# is masked for each unsampled pixel.
display('A feature per pixel (at given scale) in each region', fc_polygon_samp)
m.add_layer(fc_polygon_samp, {'color': 'purple'}, 'fc_polygon_samp')

# A feature collection with two points intersecting two different pixels.
# This example is included to show the behavior for point geometries. In
# practice, if the feature collection is all points, ee.Image.reduceRegions
# should be used instead to save memory.
fc_point = ee.FeatureCollection([
    ee.Feature(ee.Geometry.Point([-122.50309256, 37.76605006]), {'id': 0}),
    ee.Feature(ee.Geometry.Point([-122.50344661, 37.76560903]), {'id': 1}),
])
m.add_layer(fc_point, {'color': 'cyan'}, 'fc_point')

fc_point_samp = img.sampleRegions(collection=fc_point, scale=10)
display('A feature per point', fc_point_samp)

ee.Image.sampleRegions 透過集合功能整理內容 你可以依據偏好儲存及分類內容。

範例

程式碼編輯器 (JavaScript)

Colab (Python)

ee.Image.sampleRegions