I want to cast my ee.Image, to do so I followed this link implementation, but I got this error:
Traceback (most recent call last):
File "/home/felipe/.local/lib/python3.6/site-packages/ee/data.py", line 338, in _execute_cloud_call
return call.execute(num_retries=num_retries)
File "/home/felipe/.local/lib/python3.6/site-packages/googleapiclient/_helpers.py", line 134, in positional_wrapper
return wrapped(*args, **kwargs)
File "/home/felipe/.local/lib/python3.6/site-packages/googleapiclient/http.py", line 898, in execute
raise HttpError(resp, content, uri=self.uri)
googleapiclient.errors.HttpError: <HttpError 400 when requesting https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/value:compute?prettyPrint=false&alt=json returned "Image.sampleRectangle: Fully masked pixels / pixels outside of the image footprint when sampling band 'soilDiff' with no default value set. Note that calling sampleRectangle() on an image after ee.Image.clip() may result in a sampling bounding box outside the geometry passed to clip().">
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "exportImgs_v2.py", line 205, in <module>
array = imageToArray(imgAlerta, rect)
File "exportImgs_v2.py", line 41, in imageToArray
print(band_arrs.getInfo())
File "/home/felipe/.local/lib/python3.6/site-packages/ee/computedobject.py", line 95, in getInfo
return data.computeValue(self)
File "/home/felipe/.local/lib/python3.6/site-packages/ee/data.py", line 703, in computeValue
prettyPrint=False))['result']
File "/home/felipe/.local/lib/python3.6/site-packages/ee/data.py", line 340, in _execute_cloud_call
raise _translate_cloud_exception(e)
ee.ee_exception.EEException: Image.sampleRectangle: Fully masked pixels / pixels outside of the image footprint when sampling band 'soilDiff' with no default value set. Note that calling sampleRectangle() on an image after ee.Image.clip() may result in a sampling bounding box outside the geometry passed to clip().
my exact code is the one below:
def imageToArray(img, geomet):
band_arrs = ee.Image(img).sampleRectangle(ee.Geometry(geomet))
print(band_arrs.getInfo())
band_arr_b4 = band_arrs.get('eviDiff')
band_arr_b5 = band_arrs.get('soilDiff')
band_arr_b6 = band_arrs.get('mask')
# Transfer the arrays from server to client and cast as np array.
np_arr_b4 = np.array(band_arr_b4.getInfo())
np_arr_b5 = np.array(band_arr_b5.getInfo())
np_arr_b6 = np.array(band_arr_b6.getInfo())
print(np_arr_b4.shape)
print(np_arr_b5.shape)
print(np_arr_b6.shape)
np_arr_b4 = np.expand_dims(np_arr_b4, 2)
np_arr_b5 = np.expand_dims(np_arr_b5, 2)
np_arr_b6 = np.expand_dims(np_arr_b6, 2)
rgb_img = np.concatenate((np_arr_b6, np_arr_b5, np_arr_b4), 2)
print(rgb_img.shape)
return rgb_img
Does anyone know how can I fix this?
2 Answers 2
Is your AOI/geometry in projected or geographic coordinates? I was running into this same error trying to use sampleRectangle() on Sentinel-2 image composites, and when I reprojected the image to the same coordinate system of my AOI (which was in UTM coordinates), this error went away. I think the issue is that sampleRectangle() expects the region argument to have a geometry that is in the same coordinate system as the image. Unlike reduceRegion(), there is no option to specify the crs or crs_transform when getting your rectangle, so it seems like you might need to reproject the image (easier) or the AOI geometry (just a bit harder).
I ran into the same error and fixed it by setting sampleRectangle(defaultValue=-1), Then some of the edge pixels will be -1, so the roi I draw is a bit larger than I need.