公告:凡是在 
2025 年 4 月 15 日前註冊使用 Earth Engine 的非商業專案,都必須
驗證非商業用途資格,才能繼續存取。如未在 2025 年 9 月 26 日前完成驗證,存取權可能會暫停。
  
        
 
       
     
  
  
  
    
  
  
  
    
      ee.ImageCollection.getNumber
    
    
      
    
    
      
      透過集合功能整理內容
    
    
      
      你可以依據偏好儲存及分類內容。
    
  
  
      
    
  
  
  
  
  
    
  
  
    
    
    
  
  
從特徵擷取屬性。
| 用量 | 傳回 | 
|---|
| ImageCollection.getNumber(property) | 數字 | 
| 引數 | 類型 | 詳細資料 | 
|---|
| 這個: object | 元素 | 要從中擷取屬性的特徵。 | 
| property | 字串 | 要擷取的屬性。 | 
  
  
  範例
  
    
  
  
    
    
  
  
  
  
    
    
    
      程式碼編輯器 (JavaScript)
    
    
  // A contrived, empty image collection for simple demonstration.
var col = ee.ImageCollection([]);
print('Collection without properties', col);
// Set collection properties using a dictionary.
col = col.set({
  project_name: 'biomass_tracking',
  project_id: 3,
  plot_ids: ee.Array([7, 11, 20])
});
// Set collection properties using a series of key-value pairs.
col = col.set('project_year', 2018,
              'rgb_vis', 'false_color');
print('Collection with properties', col);
// Get a dictionary of collection property keys and values.
print('Property keys and values (ee.Dictionary)', col.toDictionary());
// Get the value of a collection property. To use the result of
// ee.ImageCollection.get in further computation, you need to cast it to the
// appropriate class, for example, ee.Number(result) or ee.String(result).
print('Project ID (ambiguous object)', col.get('project_id'));
// Get the value of a string collection property as an ee.String object.
print('Project name (ee.String)', col.getString('project_name'));
// Get the value of a numeric collection property as an ee.Number object.
print('Project year (ee.Number)', col.getNumber('project_year'));
// Get the value of an ee.Array collection property as an ee.Array object.
print('Plot IDs (ee.Array)', col.getArray('plot_ids'));
  
    
  
  
    
  
  
  
  
    
  
    
  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)
    
    
  from pprint import pprint
# A contrived, empty image collection for simple demonstration.
col = ee.ImageCollection([])
print('Collection without properties:')
pprint(col.getInfo())
# Set collection properties using a dictionary.
col = col.set({
    'project_name': 'biomass_tracking',
    'project_id': 3,
    'plot_ids': ee.Array([7, 11, 20])
})
# Set collection properties using a series of key-value pairs.
col = col.set('project_year', 2018,
              'rgb_vis', 'false_color')
print('Collection with properties:')
pprint(col.getInfo())
# Get a dictionary of collection property keys and values.
print('Property keys and values (ee.Dictionary):')
pprint(col.toDictionary().getInfo())
# Get the value of a collection property. To use the result of
# ee.ImageCollection.get in further computation, you need to cast it to the
# appropriate class, for example, ee.Number(result) or ee.String(result).
print('Project ID (ambiguous object):', col.get('project_id').getInfo())
# Get the value of a string collection property as an ee.String object.
print('Project name (ee.String):', col.getString('project_name').getInfo())
# Get the value of a numeric collection property as an ee.Number object.
print('Project year (ee.Number):', col.getNumber('project_year').getInfo())
# Get the value of an ee.Array collection property as an ee.Array object.
print('Plot IDs (ee.Array):', col.getArray('plot_ids').getInfo())
  
  
  
  
  
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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)。"],[],[]]