Coherence estimation for two different slave images coregistered via same Master

Hello all,

I have around 100 sentinel-1 SLC images. I want to compute coherence between the successive images (1->2, 2->3… and so on). For this, the conventional method is to read images 1 and 2, select swath, apply orbit files, coregister them using the back-geocoding operator, apply ESD and then compute the coherence and the same procedure is also with images 2 and 3, and so on.

I want to discuss another approach here

  1. Read image 1 and coregister all other images (2,3,4…100) with respect to 1.
  2. Now, for images 1 and 2, we can compute the coherence as the above-mentioned method.
  3. For image 2 slv and image 3 slv, we stack them together considering them already coregistered and compute coherence.

SNAP does not allow to compute the coherence using this method.
I want to know why I am not able to estimate coherence with the later method.
What should be the optimal method to perform successive time series analysis?


This should be possible with SNAP 9 - stay tuned!

1 Like

Thanks for your reply!

I want to know whether there is a bug in SNAP 8.0 for this kind of processing? or This methodology is not optimum in the case of SAR SLC products.

  1. is there any effect of incidence angle?
  2. is there any effect of different ranges and azimuth pixel size?