Hello Jordi I have a problem using the imagetimeseries gapfilling application. i have concatenated the 20m resolution bands and have also prepared the masks for the different bands but now do not know exactly which mask to use, or do i also need to concatenate the masks following the same sequence of bands and dates like the input time series image (concatenated)?
Le vendredi 8 juin 2018 15:33:22 UTC+1, O Buck a écrit : > > Hy Jordi, > > thanks Jordi. The problem is, that my time stack is not very dense > (Landsat from 1990). I have a maximum of 10 images per path/row, if I allow > max cloud cover of 80%. > Have you had experience with Landsat-5 data and the TimeSeriesGapFilling > tool? > My focus classes are agriculture, so I can not interpolate the data too > far. > Regards > Oliver > > > > Jordi Inglada <[email protected] <javascript:>> schrieb am Fr., 8. Juni > 2018 16:25: > >> >> Hi, >> >> If you have time series, you can use the ImageTimeSeriesGapFilling >> application which will interpolate the time profile if you provide the >> corresponding cloud masks. >> >> Jordi >> >> On Fri 08-Jun-2018 at 15:42:31 +0200, "'O Buck' via otb-users" < >> [email protected] <javascript:>> wrote: >> > Thanks Cedric for your reply. >> > >> > Yeap I was thinking of this. Problem is that I have pretty cloudy >> images (old Landsat 5 data from 1990), which means I have "no-data" cloud >> pixels in all bands at different locations. If I mask out all pixels that >> have a no-data value in at least one band, my layerstack image will hardly >> > contain any "valid" pixels. >> > I was hoping that the RF would ignore no-data values and train with >> whatever pixel dimension it has. Lets say I have a multi-temporal >> layerstack image conposed of five aquisition images with 6 bands each (i.e. >> 30 bands in total), the pixel information available would range from 0 >> (always >> > cloudy) to 30 bands (never clouds). >> > >> > But maybe I am completely wrong, due to my lack of deeper RF knowledge. >> > >> > Oliver >> > >> > Am Freitag, 8. Juni 2018 15:22:21 UTC+2 schrieb Cédric Traizet: >> > >> > Hi Oliver, >> > >> > A no-data value is treated like any other value by the classifier and >> used for the classification. >> > >> > If you don't want to process pixels with no-data value(s), you could >> build a no-data mask from your input image and the ManageNoData application >> in buildmask mode ( >> https://www.orfeo-toolbox.org/CookBook/Applications/app_ManageNoData.html) >> and use it as mask parameter >> > of the ImageClassifier application (masked pixels will have the class >> label 0). >> > >> > Sincerely, >> > >> > Cédric >> > >> > Le 08/06/2018 à 13:11, 'O Buck' via otb-users a écrit : >> > >> > Dear all, >> > >> > does anybody know, how the implemented RF (Random Forest) classifier >> treats no data values. I have a layerstack image consisting of n-Bands. >> Bands 1-6 represent one image acqisition date t1 (blue, green, red....), >> Bands 7-12 represent the image date t2..., >> > >> > Within each band there are no-data values (set to -1) caused by a >> preprocessing step masking clouds, shadows, image artefacts .... >> > >> > If I put this layerstack into the RF classifier, there classification >> results is produced, yet I am not sure about the no-data areas. How are >> they treated by the RF. Is it tolerable to include the no-data values. Are >> there better classifiers implemented? >> > >> > Regards >> > Oliver >> > -- >> > -- >> > 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. >> > >> > -- >> >> -- >> -- >> 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] >> <javascript:> >> To unsubscribe from this group, send email to >> [email protected] <javascript:> >> 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 a topic in the >> Google Groups "otb-users" group. >> To unsubscribe from this topic, visit >> https://groups.google.com/d/topic/otb-users/aanhuGRcxos/unsubscribe. >> To unsubscribe from this group and all its topics, send an email to >> [email protected] <javascript:>. >> For more options, visit https://groups.google.com/d/optout. >> > -- -- 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.
