I am new to google earth engine and was trying to understand how to use the Google Earth Engine python api. I can create an image collection, but apparently the getdownloadurl()
method operates only on individual images. So I am trying to understand how to iterate over and download all of the images in the collection.
Here is my basic code. I broke it out in great detail for some other work I am doing.
import ee
ee.Initialize()
col = ee.ImageCollection('LANDSAT/LC08/C01/T1')
col.filterDate('1/1/2015', '4/30/2015')
pt = ee.Geometry.Point([-2.40986111110000012, 26.76033333330000019])
buff = pt.buffer(300)
region = ee.Feature.bounds(buff)
col.filterBounds(region)
So I pulled the Landsat collection, filtered by date and a buffer geometry. So I should have something like 7-8 images in the collection (with all bands).
However, I could not seem to get iteration to work over the collection.
for example:
for i in col:
print(i)
The error indicates TypeError: 'ImageCollection' object is not iterable
So if the collection is not iterable, how can I access the individual images?
Once I have an image, I should be able to use the usual
path = col[i].getDownloadUrl({
'scale': 30,
'crs': 'EPSG:4326',
'region': region
})
It's a good idea to use ee.batch.Export
for this. Also, it's good practice to avoid mixing client and server functions (reference). For that reason, a for-loop can be used, since Export
is a client function. Here's a simple example to get you started:
import ee
ee.Initialize()
rectangle = ee.Geometry.Rectangle([-1, -1, 1, 1])
sillyCollection = ee.ImageCollection([ee.Image(1), ee.Image(2), ee.Image(3)])
# This is OK for small collections
collectionList = sillyCollection.toList(sillyCollection.size())
collectionSize = collectionList.size().getInfo()
for i in xrange(collectionSize):
ee.batch.Export.image.toDrive(
image = ee.Image(collectionList.get(i)).clip(rectangle),
fileNamePrefix = 'foo' + str(i + 1),
dimensions = '128x128').start()
Note that converting a collection to a list in this manner is also dangerous for large collections (reference). However, this is probably the most scalable method if you really need to download.