Hi,
I’m following this tutorial: https://step.esa.int/docs/tutorials/S1TBX%20TOPSAR%20Interferometry%20with%20Sentinel-1%20Tutorial_v2.pdf
trying to do it using GPT (through Snapista).
After the Co-Registration, it suggests to create a RGB representation of template and source product to check the quality of the result.
My question is:
is it possible to reproduce the SNAP Desktop command “Open RGB Image Window” with GPT?
I think GPT is a processing tool focused on batch processing where there may not be a graphics screen. The are many tools that can be used to view images created with GPT. I generally use tools that support geolocation. In addition to SNAP, there is NASA Panoply. IDL, Matlab, Python, R, etc have packages that support viewing geolocation images.
In order to create RGB images you can use pconvert. This is also a command line provided by SNAP.
Type pconvert -h or check the pconvert page in the help
Yes of course. I am looking for the command to CREATE the image (basically a GPT command that substitutes “Right click → Open RGB Image Window → Select RGB-Image Channels”). Then I will visualize it with other tools.
Thank you, it seems to be what I am looking for.
However the problem now is that the “Intensity_IW2_VV_…” file needed to create the .PNG image does not appear locally in the .data folder and so I cannot use it as input band in the -pconvert command. But when I inspect the product from SNAP Desktop, I can see it.
To be clearer, this is the situation:
The band should be usable by pconvert. The band is ‘virtual’ and calculated on demand. As pconvert uses the product it has access also to the virtual band.
Sorry for the previous post, I made a trivial error.
It works!
For those who are interested, I created a RGB-Profile file (.rgb)
#RGB-Image Profile
name=rgb_profile
blue=Intensity_IW2_VV_slv1_20Dec2019
green=Intensity_IW2_VV_mst_08Dec2019
red=Intensity_IW2_VV_mst_08Dec2019
and then I ran the command:
pconvert -f png -p RGB_PROFILE_FILENAME.rgb PRODUCT_FILENAME.dim