Let's analyze it in 1D as the intuition is the same.
First, let's have a look on a few different Gaussian Kernels:
As expected, they are wider as the Standard Deviation (STD) increase.
It means that when the kernel is applied using the convolution, more information is aggregates from farther samples. On the other side it means data is spread.
Now, in your ...