sanity check on timeseries.h5 results

[sar]

I've run the invert_network step and would like to check that the results make sense. The parameters I used were:

mintpy.networkInversion.weightFunc = auto

mintpy.networkInversion.waterMaskFile = no (no water present)

mintpy.networkInversion.minNormVelocity = auto

mintpy.networkInversion.residualNorm = auto

mintpy.networkInversion.maskDataset = auto

mintpy.networkInversion.maskThreshold = auto

mintpy.networkInversion.minRedundancy = auto 

mintpy.networkInversion.minTempCoh = 0.1 (due to generally low coh for dataset) 

mintpy.networkInversion.minNumPixel = 5000 

mintpy.networkInversion.shadowMask = no 

It's important to note that there may not be any detectable deformation for the timeframe, as any movement is expected to be slow and may need a multi-year dataset to be detectable.

Thanks!

[Zhang Yunjun]

Generally, I don't trust any results that have temporal coherence values lower than 0.5.