Because I prepared master image with split_orb graph,
then the question remains how the inteferograms look like
Interferograms look all right
why is the script called
stamps_export (1).py? Did you make any modifications?
No, because I have downloaded it twice.
Is it possible not to run this command to delete zip files from the slave folder? I have deleted all .zip files of images.
yes, once the split script was executed correctly, you don’t need the zip files any longer.
I have no idea why the export fails, as this is a rather easy step. Maybe @mdelgado can think of a resaosn?
please , where I could fixe std=0.5 in order to have a nice picture of the pattern.
can you please specify what exactly you refer to? This topic contains over 500 posts, so a bit context would be helpful.
I plot (‘v-s’, 4) with 200000 PS processed, in order to have a good picture of the pattern i should fixe std=0.5 , isn’t it ???
no, you cannot set the standard deviation here. You simply plot the temporal variation of each point
I’m going to put this here, because nobody has solved it for me in the original post:
I have follow the comments and indeed it makes no sense for me that stamps_export fails.
Which SNAP version do you use? Can you please share your python and graph of that step? It should not need any DEM to do that operation… so not sure what is going on in there… but seems not doing what it should.
I am using SNAP.6.0 and Python 2.7 version,I have also attached a graph of the stamps_export step.
export (1).xml (1.1 KB)
regardless of this error, I highly recommend updating to SNAP 8.
Chances are good that it fixes some of the experienced issues.
I have update SNAP.6.0 to SNAP 8 before, in cloudtoolbox, but they advised me to downgrade it because this version did not work at all.
xml does not include any operator that uses DEMs… so not clue with your computer is doing.
So ,what should I do to fix this problem?
Dear @ABraun, @mdelgado , @thho
I would like to do my PSInSAR treatment via SNAP2stamps,
so my data is from 10/2015 till 12/ 2018 , when I split them it doesn’t have the same split , so I divided the PS treatment into two : the first one from (10/2015 to 05/ 2017 ) and the second one from ( 06/2017 - 12/ 2018) , finally I merged the two treatment into one file. csv
I want to know if my raisonnement is true and my time series is correct.
can you please clarify what you mean with “when I split them it doesn’t have the same split”?