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the minimum required is estimating the time series using the APS module, then save the corresponding TS object, for both datasets.
when you have the 2 TS objects, you can import them in the multi-sensor moduel.
depending on what you are doing, you may want to process also the MISP after the APS.
here you see some exercises for the APS and MISP…[Read more]

please update your software version via “manage version” module http://sarproz.com/manual/manage_version.html

Thanks,
this is indeed a bug. an update will be available in the next hours

A Time series object is a Sarproz internal data structure,
formed by a file with .tsobj extension and a folder.
Such structure can be optionally generated either from the APS module, or from the MISP one (APS and MISP are module for estimating time series models).
Alternatively, there is a module where you can generate a TS object without…[Read more]

1. it is a surprise for me to discover that you can uncheck such option. we will correct it. anyway, it makes no sense. options are: * estimate, * read, * neglect. No checks corresponds to neglecting it.
2. neglecting a linear estimate (without other options) means not considering any movement. Not considering any movements, means that no…[Read more]

Ciao Cecilia,
yes, you can, through this module: http://sarproz.com/manual/multi_sens.html
Unfortunately the module is a beta version and not all functions are available.
Anyway, you can align your datasets, select ascending/descending corresponding points, then plot the projections.
You have firstly to process asce/desce datasets separately, then…[Read more]

Hi Janbu,
I do not know myself the Doris/Roi-Pac formats, we should wait for an advice from someone else. But the files you attached above look like coming directly from the data provider (or at least they look like in the same format). So, try the following: untar you file in a sub-directory (like “D26075_1_A3_26420”) inside the SLC folder and…[Read more]

please attach the file E:SARPROZ_2tsxsite.log

to detect ASAR images, Sarproz searches for ASA_… files. they can be in subdirectories or all in the SLC folder

To get assistance, please attach log and lasterror.mat files

yes, it’s a measure of the accuracy of the height estimation
it is calculated based on the distribution of the dataset parameters (normal and temporal baselines) and on the options you selected to estimate the time series parameters (as velocity and height)

Yes, velocity and deformation trends are the same.
The cumulative displacement is saved when you do a non-linear processing.
You do a non-linear processing if you input a value in the “smart” box in the time series processing options.
That value corresponds to the length of a temporal filter. So, the outcome is a non-parametric estimation of the…[Read more]

1. select a set of points via load mask using e.g. the temporal coherence or the amplitude stability index. it does not make any sense to select points based on cumulative displacement

2. then check your results via histogram and scatter plots modules. you can check the histogram of the cumulative displacement to understand what is wrong. then…[Read more]

Use this module: http://sarproz.com/manual/xplot.html
1. load points via load mask in site processing
2. open the scatter plots module
3. choose latitude as y axis, longitude as x axis, velocity or any other parameter of interest as color
4. press “go” in filter/matrix visualization to check what you are doing
5. press “geoout” in the same frame…[Read more]

zip not rar

the license was sent to your email address

Looks like we overlooked your post…
Did you solve the issue?
You don’t need to increase the search pixel: the initial cross-correlation is used to estimate and remove the big shifts. Increase the search pixel only if you think that shifts change significantly within the image (e.g. because of a huge stretch).
We cannot debug your lasterror…[Read more]

that’s exactly the purpose of using a GCP. Anyway in Sarproz you can correct such shifts also later with the geographic corrections module

I don’t see easily a reason for that residual ramp. This would deserve some deeper investigation. The results anyway are now much better.
About the geocoded reflectivity map: are you keeping a 1×1 downsampling? Otherwise, u’ll degrade the resolution. The mean kml generated from the GCP module is downsampled 8×8. That map is generated just to give…[Read more]