使用python在Google Earth引擎中查询大型FeatureCollection

我正在尝试处理从下载的坦桑尼亚形状文件

将

self.scale

更改为10会引发以下行错误：

featureCollection.getInfo（）

ee.ee_exception.EEException:服务器返回的HTTP代码：413

将

self.scale

更改为1000会引发此错误：

ee.ee_exception.EEException:计算超时

---

处理具有较大区域的形状文件的正确方法是什么？

请注意，对地球引擎API的请求是。因此，您的代码对解决问题没有多大作用。这些错误是如何从您发布的代码中产生的并不明显，但在任何一种情况下，答案都可能是相同的：导出结果。例如：

import ee
ee.Initialize()
image = ee.Image('srtm90_v4')
geometry = ee.Geometry.Polygon([[[-113.64, 39.97], [-113.64, 38.13],[-109.42, 38.13],[-109.42, 39.97]]], None, False)
dict = image.reduceRegion(reducer=ee.Reducer.mean(), geometry=geometry, scale=1000)
featureCollection = ee.FeatureCollection([ee.Feature(None, dict)])
task = ee.batch.Export.table.toDrive(collection=featureCollection, description='foo', fileNamePrefix='foo', fileFormat='CSV')
task.start()
print task.status()

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导出的输出将在您的Google Drive文件夹中具体化。要了解有关scale的更多信息，请参阅。

鉴于此问题是关于地理空间处理的，它似乎更适合于特定领域的gis.stackexchange.com，而不是一般的stackoverflow.com。

def getInfo_werrorcontrol(featureCollection, errorcontrolon=True):
    """
    Wrapper to add error control to GEE evaluations.

    For large computations GEE sometimes times out and needs to be
    restarted. This does so in a controlled manner with out 
    interrrupting the program flow.
    """
    if errorcontrolon:
        i=0
        while True:
            try:
                with timeout.timeout(10*60):
                    return featureCollection.getInfo() # In this line I am getting exception.
            except NameError:
                exc_type, exc_value, exc_traceback = sys.exc_info()
                lines = traceback.format_exception(exc_type, exc_value, exc_traceback)
                print ''.join('!! ' + line for line in lines)
                i+=1
                print 'attempts: '+str(i)
                if i > 20:
                    raise ValueError('to many attempts') 
                elif i > 10:
                    print 'waiting 2 minutes'
                    time.sleep(60*2)
    else:
        return featureCollection.getInfo()

import ee
ee.Initialize()
image = ee.Image('srtm90_v4')
geometry = ee.Geometry.Polygon([[[-113.64, 39.97], [-113.64, 38.13],[-109.42, 38.13],[-109.42, 39.97]]], None, False)
dict = image.reduceRegion(reducer=ee.Reducer.mean(), geometry=geometry, scale=1000)
featureCollection = ee.FeatureCollection([ee.Feature(None, dict)])
task = ee.batch.Export.table.toDrive(collection=featureCollection, description='foo', fileNamePrefix='foo', fileFormat='CSV')
task.start()
print task.status()