Save geocoded HDF5 file into text file - Tutorial in Jupyter Notebook

[Sven Borgstrom]

Hi Yunjun,

I'm really sorry to disturb you again but I'm looking for a clarification.

I need to get a text file as indicated in the subject for modelling purposes.

In this regard I successfully used the related tutorial in Jupyter Notebook, but I have a concern.

As far as I can understand, the final output (V north, east and up) comes from a timeseries from just one orbit, therefore in LoS and not from decomposition.

May I reliably use these values for modelling or these are build based on some assumptions?

Alternatively, is there the possibility to get a text file from, let me say, "hz.h5" or "up.h5" files after decomposition in order to get meaningful deformation values?

Maybe I was not clear enough, sorry, so please ask me if you need more clarifications from my side.

Cheers,

Sven. 

[Zhang Yunjun]

Hi Sven,

I assume you used this notebook (https://nbviewer.org/github/insarlab/MintPy-tutorial/blob/main/io/save_text.ipynb), the Ve, Vn and Vz there are the unit vector that one could project the predicted 3D displacement from models into the radar LOS, then one could compare that projected model prediction with the observed displacement from InSAR LOS, and minimize the misfit between the two. In this way, it’s LOS observation from one orbit, and no assumption is made on the data/observation side.

You could alternatively combine asc/desc into horizontal and vertical components, and use that for modeling. But I don’t recommend that way, as it is built on assumption, which we don’t want.

I hope this helps,
Yunjun

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[Sven Borgstrom]

Hi Yunjun,

thanks for clarification.

Yes, the notebook I used is the one you pointed out.

I'm not an expert in modelling and related aspects so, if you don't mind, in case of doubts I will ask you again on this in the next days.

Many thanks, as usual.

Sven.