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Hi Mahtab,
saving a selection of points does not mean saving the plot you are diplaying
when you save a selection of points, you save a 2d vector, where the 2 dimensions are sample and lines, independently from what you have on x and y axes in the scatter plot
the only choice you have is whether to save a color or not, as indicated here https://sarproz.com/manual/xplot_save.html
if later you want to display/export latitude and longitude, simply load the desired selection of points and then choose lat/lon on the x/y axes
bestHi Janbu,
there can be a number of reasons for receiving that message, we need more infos to understand the case.
Generally speaking, even if for some reasons NaNs are in the data, that does not mean you cannot process and analyze successfully your data.
Please check the images one by one: do you observe black areas?
Did you generate the adaptive mask, did you plot it, how does it look like?
Did you generate interferograms filtered with the adaptive mask?
If issues are there, please send us the log file by email
thanksHi,
did you do the steps suggested by the software?
generally speaking, keep always in mind this: https://sarproz.com/manual/Sarproz_errors_management.html
and report log files and error files, if any.
are you using the last version of the software?best
Hi,
when you get problems/errors, it’s good practice to send also the logs and possible additional error files.
Anyway, in your case, please be aware that when Sarproz starts, it does not try to connect to a specific IP/server. It’s only checking internet connectivity through common webpages, like yahoo. Do you have internet access?
If you are using Matlab, you could set the general web timeout to a higher value.
bestHi Arslan,
your question would require to talk about many topics, it cannot be answered with a short post. There are 2 ways for you to solve this issue: 1. take a Sarproz course and learn deeper the technology; 2. get some processing assistance (someone who does the processing for you). Given your student status, I strongly suggest you to go with the first option. A course session is starting in the next days, maybe you are still in time to join it.
all the bestWe call it “command line” or “background” mode.
If you type it in the search line of the forum here https://www.sarproz.com/sarproz-forum/, you’ll get some discussions.
Here some updates short descriptions containing command line mode infos (there are more discussions):
https://www.sarproz.com/groups/sarproz-group/forum/topic/sarproz-release-2018-0/
https://www.sarproz.com/groups/sarproz-group/forum/topic/sarproz-release-2021-0/
https://www.sarproz.com/groups/sarproz-group/forum/topic/sarproz-release-2022/
in the first link (2018) you get a pdf telling you the idea behind the CL mode and also an inputpar file example. don’t use that inputpar file, sarproz generates the content of inputpar files when you execute functions from the GUI. in this way you can get an updated inputpar file (the 2018 one is a bit old).you don’t need matlab for that.
yes some of our customer run sarproz from dockers or VMs, clusters, clouds, … The only topic of discussion here is the license. Please ask this question via email through your colleagues who purchased the license.
best
Hi Paulina,
to answer your questions we usually take 5 days of classes: those the core topics of multi-temporal insar…
may I suggest you to take the online course? or alternatively we can organize a course in person in your country…
bestSarproz only accepts SSC data: Single Look Slant Range Complex images. yours is MGD, Multi Look Ground Range Detected.
bestHi Anti,
here some infos https://www.sarproz.com/groups/sarproz-group/forum/topic/sentinel-orbits-in-sarproz/
usually Sarproz tells you what orbit files are needed, however, I am afraid in this case (change of repository), the error prevents the message from being visualized.
You should manually check the orbits you need and place them in the corresponding folder, as described in the link above.
We’ll update the help files and also the code for automatic download
ThanksHi Emre,
the model you are applying, linear deformation, does not apply to your case, since you had earthquakes.
the suggestion for you is to take an InSAR course (if you want, we do offer InSAR course based on sarproz).
all the bestHi,
here the concept is the following: when you take an image as a reference, if the image is noisy, the noise is propagated to all other images (being the reference image set to zero, since it’s the difference with itself). This is what you see in that plot.
However, Sarproz takes into account this phenomena and applies some corrections. So, changing the reference image at that point should not impact too much the final outcome (but you can check this yourself and share your feedback).
A cleaner job should be choosing an other Master image at the very beginning of the processing (because it could also impact on the coregistration). Notice that Sarproz does not choose the master image on the basis of weather conditions, but it gives you the chance to do so, if you observe such data.
The plots you reported (coherence as a function of time in the APS processing) are instead more useful to check the trend in time of the coherence. You could spot there possible accelerations or seasonal trends. You seem to have in fact a slight trend towards the end of your time series. If I were you I would proceed further in the analysis but keeping an eye on possible non-linearities.
To conclude, notice that the trend is similar in the 2 plots you posted. Just, in the first plot variations are more compressed while in the second one they look amplified. Ups and downs are corresponding in the 2 plots though.
bestHi,
first of all, to be able to obtain accuracy, we would need the truth, which usually we don’t have. So, it would be better to talk about precision.
In any case, the standard deviation is calculated from the phase residuals (observed interferometric phase after removal of the model you choose for the processing). As a consequence, you can understand that it’s a way measure the match between a model and the observations. Sometimes you might have a discrepancy caused by noise, sometimes the mismatch comes from un-modelled deformation. To try to understand more, you need to observe your data from multiple perspectives (like space and time).
The coherence is an other way to measure the match, in the complex domain. This is the parameter we normally use to quantify the goodness of an insar time series estimation. We introduced the standard deviation just to simplify the interpretation to those not used to InSAR processing.
To understand deeper this topics you might consider taking the course EO59 offers twice a year. There will be a session in about 1 month from now.
At the moment we did not include the projection of standard deviation from ascending/descending orbits to horizontal/vertical directions in the multi’sensor module. If needed, you can obtain it from the single stdevs using the infos about incidence angles.
best1. you did not include all pictures (velocity is not visible). you have to compare all parameters in the same coordinate system (like in sar coordinates)
2. if height and velocity are correlated, something is wrong
3. the range of values to be estimated is too small (both for velocity and height). also, you have lots of images, it means no risk to overfit. take a broader range of values in the estimation
best