DEM generation

[ABraun]

@Igor

“Assuming we have more than about 20 repeat-pass SAR images, we can generate a stack of N coregistered multitemporal interferograms. Because our goal is to generate a new DEM or update an existing low-resolution or low-accuracy DEM, interferograms with short time separations and large baselines are preferred. This is critical to derive a high-accuracy DEM.”

So, to correctly build a DEM, you should have a lot of different scenes. And already from it it is necessary to choose a pair that best meets the criterion of building DEM.

thanks for the input, Igor. Multi-temporal data can surely increase the quality if interferometric analyses.

I was trying to do exactly what you describe but I am no longer sure if this is possible in SNAP:

Interferogram averaging for DEM generation

I wondered if it’s possible (and reasonable) to calculate multiple interferograms and average them for later phase to elevation calculation. I have Sentinel-1 A/B interferograms (6 days temporal baseline each) in an arid region with high coherence. I would like to exclude atmospheric effect by a combination of interferograms. But I struggle to do it in SNAP. When would be the best step to do the averaging? Directly on the filtered interferograms (I doubt that this makes sense) After unwrappi…

Based on the publication provided by mengdahl here, interferograms should be combined after unwrapping:

Interferogram averaging for DEM generation

A quick search found this:

Does anyone have an idea how they could be co-registered in SNAP?