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* standard: usual standard unwrapping method, pixel by pixel, it suffers the usual drawbacks of unwrapping in presence of noise. If you mask an interferogram and you have disconnected areas, it’s not going to connect them.
* sparse LS: it uses sparse points and Least Squares to connect unconnected areas and to solve the problem in presence of…[Read more]

With respect to question 3, the “previous points” you pointed to are points selected by e.g. Amplitude dispersion index in APS?

the GAR works with a graph previously processed by the APS. so “previous points” are the points that you import in GAR from the APS module

The points selected with star graph are PS points, and points selecte…

[Read more]

Hi Zoe,
theoretically, it should work. However, it’s not 100% tested, you might get some problems. If this happens, there is no need to redo all the job. You can just remove the images you want to discard from the dataset.txt file. Then it will work
best

1. Does GAR always behave better than MISP? And do you recommend to use GAR in most cases?

the standard way APS+MISP is widely used and very robust. when APS+MISP is successful, you don’t need anything else. However, there are cases where it fails. In those cases, GAR can help

2.You mentioned GAR could detect strong movements which exceeds…

[Read more]

At the moment you can project the velocities using the Multi-Sensor module
Here a bit of description https://sarproz.com/manual/multi_sens.html
In the next future we will implement also the projected time series export
Best

1. What the “Skip init Mask” means? When should it be checked?

it means selecting all pixels, not loading the initial mask
https://sarproz.com/manual/set_mask.html
https://sarproz.com/manual/carica_maschera.html

What the time series generated in this module is.

a time series object is a file that can be saved either in the APS module or in…[Read more]

The case of 2 sensors analysis is an advanced processing mode (as ERS and Envisat combination) that does not apply to your case.
You get only one reflectivity map per dataset.
If you are talking about combining different datasets (as ascending and descending tracks or different sensors) you can combine the geocoded (or orthorectified) maps in…[Read more]

https://sarproz.com/manual/crea_mean.html

we cannot replicate the error, we need a remote session. write to support at sarproz dot com

as specified in the forum rules https://www.sarproz.com/groups/sarproz-group/forum/topic/forum-general-rules/
please include log file and lasterror (zip them together)

Links will expire on April 6. After that, contact the admin to get an update

MAC USERS!!

A new MAC compiled version is out: https://we.tl/t-sRQKtKQetN

CAREFUL: this version was compiled with Matlab 2017a!! If you are a previous Sarproz user running the MAC compiled version, you need to install a new MCR version!! Check the readme.txt contained in the tar file above!

check this please https://www.sarproz.com/groups/sarproz-group/forum/topic/sarproz-release-2019-0/

no need.
best

You cannot use the small area processing for such a wide area.
Small area processing is suitable for areas where you can neglect the atmospheric delay (less than 1km for C band).
If the area is bigger, results are not reliable.
You could easily see that by checking the temporal coherence.
You need to take a course on the subject
best

Please ask Joko in Indonesia to give you the last software version. He will contact you soon.