Hello dears i have get a result …using the precious group members thanks a lot… but now i need to export to csv format and i need your consultation
have you first run the command with the -1
at the end as described?
please try to use the search function when you encounter problems. Many things are already reported and discussed here.
Here is a link to a suggested solution: StaMPS-Visualizer, SNAP-StaMPS Workflow
@ABraun thanks for recomendation … but sometimes i become confused of some commands thats why i bring it here… now am here how i can display my result on stamps visualizer?
put the exported csv file in the folder of the stamps visualizer as described in the manual and the first post: StaMPS-Visualizer, SNAP-StaMPS Workflow
you can also export your data to Google Earth as described here: Problem in runing mt_prep_gamma_snap
good job!
The first is the spatial distribution of PS within the chosen radius around the selected point.
The second is the temporal profile of this area.
Please note that you usually need more images (>20) for stable and reliable time series.
Possibly distributed in more than one year, otherwise you could be measuring seasonal effects.
Thanks alot dears!
@ABraun @thho @mdelgado
what effects will resulted in the results of PS analysis when minimizing and maximizing
overlapping pixels between patches in range default value and overlapping pixels between patches in razimuth default value?
technically, larger overlaps result in longer processing time and grant smoother transitions between the patches. I have never experimented with these values and mostly worked with 50 and 200 pixels as suggested. I think there are many variables and parameters which have a way larger impact on the final result.
A great overview is given by @m477h145 here: https://gitlab.com/Rexthor/gis-blog/-/blob/master/StaMPS/2-4_StaMPS-steps.md
how long can this range be using sentinel images (2, 3 or 5 years)?
I won’t set a limit here but you have to bear in mind that longer ranges result in less PS candidates. This is no problem over large urban areas but will leave you very few I measurements over natural surfaces.