Snappy very slow

[marpet]

Maybe it helps if you increase the memory:

Snappy error - ProductIO.writeProduct

I’m not sure, I’m not very familiar with snappy, but I think you have to set a value in the jpyconfig.py script in the snappy folder. Try setting jvm_maxmem = None to jvm_maxmem = '6G' Another place to change the memory usage might be in snappy.ini in the snappy folder. Change the line # java_max_mem: 4G to e.g. java_max_mem: 6G

You can resample the product to the 10m resolution of band B4 and B8 and afterwards you can create the subset with the two bands.

This can also be done in python.
This thread might be helpful:

Handling sentinel data in python ( working with snappy)

I have recently installed SNAP in my Windows8.1 with 8GB RAM and as I said in my first message I am trying to work with SNAP in python using Snappy. I managed to use it properly with the test dataset that is provided with the snappy module in the SNAP directory. I usually work with numpy to handle and process images or multidimensional arrays. But the problem is that the test dataset has really small size if compared with the usual sizes of a Sentinel dataset. And when I try to read for exam…