in my opinion, the limiting factor is the data and the technique, not the software. You cannot avoid temporal decorrelation over vegetation.
I think, if there was a technique or approach to retrieve reliable DEMs from Sentinel-1, data someone would already have applied it to the entire earth. The amount of available data is huge, but they are just not designed for it. Please someone correct me if I’m wrong.
By today, I have not seen a single peer-reviewed publication which produced a DEM from Sentinel-1 data which has a better quality than the freely available DEMs (SRTM, ASTER, AW3D30,…)
I am really interested what exactly makes people believe that this is possible. We discuss this topic at a weekly base and I don’t understand where these expectations come from.
I think the tutorials that start with a dem generation play a role in this mis-perception. For more than a year I tried to obtain a usable DEM from S1A/B from time to time and thought the bad results was only because I did not find the right tool chain or missed something.
In this regards, it is maybe helpful to highlight the suitable applications and Not ToDos of S1 somewhere in this forum to save sometime for new comers like me.
thank you for your suggestion. Can you please specify what kind of information (which is not contained in the tutorial) would have helped you to prevent your misunderstandings?
Perhaps it would be enough to mention that certain applications like S-1 DEMs or Soil Moisture are “very challenging” so that people so not expect that they can achieve meaningful results just by processing some imagery.
My bad, I did not read FAQ10 carefully as it already mentioned this issue.
however, at the end of this FAQ10, the first link with title " DEM generation with Sentinel-1 - Workflow and challenges" may give a false signal that generating DEM is possible and with good results.