Edit: I have changed the clip to updateMask function. when I print the image dimensions it seems to be ok with size, but when I export image GCS and then open again, it adds empty row /column to the image. I couldn't find any reason why.
I have two images which are different size . I want to clip img2 using img 1, and to get image that has the exactly same dimensions as img1.
img1 has the following shape: [425, 327] img2 has the following shape: [426, 329]
I have tried to clip them using GEE as following:
img1=ee.Image.loadGeoTIFF(url_one)
img2=ee.Image.loadGeoTIFF(url_two)
clipped=img2.UpdateMask(img1.select('B1'))
#print of imgs size
sz_clip=clipped.getInfo()['bands'][0]['dimensions']
sz_img2=img2.getInfo()['bands'][0]['dimensions']
sz_orig=img1.getInfo()['bands'][0]['dimensions']
print(f'img1 size:{sz_orig} img2 size"{sz_be} clipped size: {sz_clip}')
>>>
original size:[425, 327] img2 size"[426, 329] clipped size: [426, 328]
My problem is that I need to get the clipped img with the same size as img1, but this doesn't happen and I get something new.
I though maybe it has to do with projection, so I have tried to do the same but to reproject img2 to have the same projection as img 1 before clipping:
projection_img1=sen.projection()
img2_reproj=img2.reproject(crs=projection_img1)
#tried also like this but same size result:
img2_reproj=img2.reduceResolution(reducer=ee.Reducer.mean()).reproject(crs=projection_img1)
...
original size:[425, 327] img2 size"[426, 329] clipped size: [426, 328]
I still don't have clipped_size with the same size as img1.
My end goal is to have the clipped image with the exactly same shape as img1.
