Python Mosaicing S1 SAR products problem(s)

[marpet]

Maybe your input products use a compression? 1.7 GB for a mosaic does not seem to big to me.
But the difference between SNAP Desktop and snappy is strange. I think somehow the configuration must be different.
As far as I can see the operator uses the data type of the source bands for the target bands. This should not make the difference.
Why the GeoTIFF-BigTIFF hangs after a while might be caused by your memory settings.
Please have a look at the following thread.

Basic error with Snappy (Python beginner)

Dear colleagues, I do not have experience with Python (just Shell scripting and Matlab…), but started to work with Snappy today in order to enhance the capabilities of my SAR applications. So, I am facing a BASIC problem to save an ALOS-1 scene after Deskewing it. Here is the simple script: import sys from snappy import ProductIO from snappy import GPF from snappy import jpy file = sys.argv[1] product = ProductIO.readProduct(file) HashMap = jpy.get_type('java.util.HashMap') params_desk = …

You can use NetCDF4-CF as output format. This uses compression by default and does not have the 4294967292 limit.
For GeoTIFF-BigTIFF you can configure the compression:

Does GeoTIFF writer support writing parameters (such as tiling)?

Is there also the possibility of writing compressed GeoTIFF-BigTIFF and/or choosing the compression method ?

You can add those properties to the etc/snap.properties file in the installation directory.