<https://lh3.googleusercontent.com/-7uVo4hfCzmA/WIXNPRKhv3I/AAAAAAAARg4/EMNfrC52f7Qu4rc8V9vamsrxdAt72Cc0ACLcB/s1600/Sentinel1Mosaic.png> Hello all,
I am working on a time series dataset to detect deforestation over s1 time series (I am using grdh vv vh product) over all the french guyana. For time series over one area cover by one s1 data I am using the following processing chain which work well: - calibration - filtering - Orthorectification - clip all the data to have exactly the same area for all the data (projection, extent, cols, row...) - Temporal filtering (python code using Quegan algorithm) - Other thing underdevelopment like threshold or classification of time serie statistic (stdev, median mean, quartile etc) Now I want to apply this processing chain over all the data in French Guyana that is fully covered by 2 path, one with 3 consecutive data and one with 2. So, at one time I need to overlay the 5 different data or do a mosaic. My first idea was to process individually each data and then mosaic the data over the same path and so to my time series processing over one pathh and mosaic final result over the two pass. However, as for Snap (but less), when I mosaic 2 consecutive orthorectified data over the same pass I have some time some gap as shown in the screen shot (gap are in white). So I would like to know the best practices for this kind of task to don't have any gaps ? In addition if you have tips for time series processing it's also interesting :) Best and thank you in advance. -- -- Check the OTB FAQ at http://www.orfeo-toolbox.org/FAQ.html You received this message because you are subscribed to the Google Groups "otb-users" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/otb-users?hl=en --- You received this message because you are subscribed to the Google Groups "otb-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
