[英]METADATA of images from earth-engine by Python 2.7
我正在尝试获取有关图片,云状态,太阳角度以及我可以获得的任何其他信息的信息。
我想在图片上找到METADATA。
为了说明,我使用CLOUD_COVER作为云的百分比,但我没有得到任何数值。
我的代码:
import ee
import ee.mapclient
ee.Initialize()
# Get a download URL for an image.
image1 = ee.Image('COPERNICUS/S2_SR/20190205T082129_20190205T082130_T36SYB');
#Get information about the bands as a list.
bandNames = image1.bandNames();
print ("Band names: " + str(bandNames)) #ee.List of band names
#Get projection information from band 1
b1proj = image1.select('B1').projection()
print('Band 1 projection: ' + str(b1proj))#ee.Projection object
#Get scale (in meters) information from band 1.
b1scale = image1.select('B1').projection().nominalScale()
print('Band 1 scale: ' + str(b1scale))#ee.Number
#Note that different bands can have different projections and scale.
b8scale = image1.select('B8').projection().nominalScale()
print('Band 8 scale: ' + str(b8scale))#ee.Number
#Get a list of all metadata properties.
properties = image1.propertyNames()
print('Metadata properties: ' + str(properties))#ee.List of metadata properties
#Get a specific metadata property.
cloudiness = image1.get('CLOUD_COVER')
print('CLOUD_COVER: ' + str(cloudiness))#ee.Number
这是输出:
Band names: ee.List({
"type": "Invocation",
"arguments": {
"image": {
"type": "Invocation",
"arguments": {
"id": "COPERNICUS/S2_SR/20190205T082129_20190205T082130_T36SYB"
},
"functionName": "Image.load"
}
},
"functionName": "Image.bandNames"
})
Band 1 projection: ee.Projection({
"type": "Invocation",
"arguments": {
"crs": {
"type": "Invocation",
"arguments": {
"image": {
"type": "Invocation",
"arguments": {
"bandSelectors": [
"B1"
],
"input": {
"type": "Invocation",
"arguments": {
"id": "COPERNICUS/S2_SR/20190205T082129_20190205T082130_T36SYB"
},
"functionName": "Image.load"
}
},
"functionName": "Image.select"
}
},
"functionName": "Image.projection"
}
},
"functionName": "Projection"
})
Band 1 scale: ee.Number({
"type": "Invocation",
"arguments": {
"proj": {
"type": "Invocation",
"arguments": {
"crs": {
"type": "Invocation",
"arguments": {
"image": {
"type": "Invocation",
"arguments": {
"bandSelectors": [
"B1"
],
"input": {
"type": "Invocation",
"arguments": {
"id": "COPERNICUS/S2_SR/20190205T082129_20190205T082130_T36SYB"
},
"functionName": "Image.load"
}
},
"functionName": "Image.select"
}
},
"functionName": "Image.projection"
}
},
"functionName": "Projection"
}
},
"functionName": "Projection.nominalScale"
})
Band 8 scale: ee.Number({
"type": "Invocation",
"arguments": {
"proj": {
"type": "Invocation",
"arguments": {
"crs": {
"type": "Invocation",
"arguments": {
"image": {
"type": "Invocation",
"arguments": {
"bandSelectors": [
"B8"
],
"input": {
"type": "Invocation",
"arguments": {
"id": "COPERNICUS/S2_SR/20190205T082129_20190205T082130_T36SYB"
},
"functionName": "Image.load"
}
},
"functionName": "Image.select"
}
},
"functionName": "Image.projection"
}
},
"functionName": "Projection"
}
},
"functionName": "Projection.nominalScale"
})
Metadata properties: ee.List({
"type": "Invocation",
"arguments": {
"element": {
"type": "Invocation",
"arguments": {
"id": "COPERNICUS/S2_SR/20190205T082129_20190205T082130_T36SYB"
},
"functionName": "Image.load"
}
},
"functionName": "Element.propertyNames"
})
CLOUD_COVER: ee.ComputedObject({
"type": "Invocation",
"arguments": {
"property": "CLOUD_COVER",
"object": {
"type": "Invocation",
"arguments": {
"id": "COPERNICUS/S2_SR/20190205T082129_20190205T082130_T36SYB"
},
"functionName": "Image.load"
}
},
"functionName": "Element.get"
})
问题是输出没有信息。 有谁能解释为什么?
这是由于GEE的工作原理。 处理步骤在本地构建为对象,然后只有在另一个函数需要时才由服务器进行评估。 因此,当您使用python的print
函数时,它将只打印json
对象,该对象将被发送到GEE服务器进行评估。
您可以使用.getInfo()
强制进行评估...但是应该谨慎使用,因为所有内容都被拉到客户端,这对于大对象来说可能会有问题。
这样可行:
import ee
ee.Initialize()
image1 = ee.Image('COPERNICUS/S2_SR/20190205T082129_20190205T082130_T36SYB')
bandNames = image1.bandNames()
print(bandNames.getInfo())
[u'B1',u'B2',u'B3',u'B4',u'B5',u'B6',u'B7',u'B8',u'B8A',u'B9' ,u'B11',u'B12',u'AOT',u'WVP',u'SCL',u'TCI_R',u'TCI_G',u'TCI_B',u'MSK_CLDPRB',u'MSK_SNWPRB' ,u'QA10',u'QA20',u'QA60']
当然,如果您使用get
和相应的属性名称,这可以扩展到所有元数据属性。
例如,这是获得阴天像素百分比的方法:
cloudiness = image1.get("CLOUDY_PIXEL_PERCENTAGE").getInfo()
print(cloudiness)
0.664195
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