I’ve done a QPSI processing using my 2.5 year S1 images, and only found a few points around my small case study, at the moment I am working on different things (working around thresholds etc) to help to increase the density. Could you please let me know if you have any specific advice or suggestions on bellow:
• MT adaptive mask: I selected AD with 5 *5 win size, 0.05 for signif level and 4 pixel for connectivity, and called this in the InSAR params module, how changing these values can help to increase density?
• Insar params module: selecting pre-filtering or post-filtering for output coherence can affect the density? I selected sparse LS for unwrapping as it sounds working better than standard,
• Interferograms processing: is this step mandatory for QPSI for a full graph? It’s very time-consuming for a long time series of data, is it enough to only run full graph coherence estimation while selecting MT adaptive filter in Insar params and skip interferogram procesing?
• Do you recommend Amp.Stab.Index 1-S/M FOR APS estimation/ sparse point processing and temporal coherence for TS module for point selection?