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Mean velocity result #55
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I would just use the default. What matters more is the phase-unwrapping network. You may want to try single-reference and delaunay with different options. Masking matters of course. |
@falkamelung Thanks so much for your response. My understanding from [1] is delaunay network is better so I applied that. Then I have time series which is mask according temporal coherence .The western side of the hillslope looks masked in comparision of SBAS which shows high rate of deformation . I applied masked in the following result Do we expect to end up with a very similar result from the all the phase linking method or they should look different? 1:Mirzaee, S., Amelung, F., Fattahi, H., 2023. Non-linear phase linking using joined distributed and persistent scatterers. Comput Geosci 171, 105291. https://doi.org/10.1016/j.cageo.2022.105291. |
I would try single-reference network as phase-unwrap errors don't propagate. If you see the same signal as with Delaunay network you can be confident. If different you may want to try different Delaunay networks. |
Thanks once again @falkamelung, what about magnitude of deformation rate? what If I see a signal there but with different magnitude |
@mohseniaref, I expect all phase linking techniques have similar results, however the magnitude of deformation rate is slightly different/smaller for sequential mode. please refer to figure 2 in the paper comparing in the simulations. |
@mirzaees I've got some interesting results of landslide about the fading signal issue. So, I've been doing some experiments and trying out different data processing techniques ? the result seems unexpected . The results from each method are surprisingly similar. What would be the reason?
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