Hi Pierre, 2018-05-16 23:42 GMT+02:00 Pierre Roudier <pierre.roud...@gmail.com>:
> Hi Stefan and Roberta, > > We can probably help too -- I work on Antarctic datasets: relief, > clouds, and very cold, white surface! > Thank you so much, I really appreciate it! Here the link to my wiki page [0] and github repository [1] to follow the project progress. [0] https://trac.osgeo.org/grass/wiki/GSoC/2018/CloudsAndShadowsDetection [1] https://github.com/RobiFag/GRASS_clouds_and_shadows > > Cheers, > > P > Keep in touch! best wishes Roberta > > On 17 May 2018 at 02:22, Stefan Blumentrath <stefan.blumentr...@nina.no> > wrote: > > Hi Roberta, > > > > > > > > Here in Norway we can do some “worst case” testing for your algorithm. > > Plenty of snow and clouds in the mountains, and heavily rugged terrain, > that > > presumably has quite some effect on cloud shadows… > > > > > > > > Looking forward to following your project from the side! > > > > > > > > Kind regards, > > > > Stefan > > > > > > > > > > > > From: grass-dev <grass-dev-boun...@lists.osgeo.org> On Behalf Of Roberta > > Fagandini > > Sent: onsdag 16. mai 2018 16.01 > > To: Pierre Roudier <pierre.roud...@gmail.com> > > Cc: grass-dev <grass-dev@lists.osgeo.org> > > Subject: Re: [GRASS-dev] GSoC introduction Roberta Fagandini > > > > > > > > > > > > Thank you, Pierre!! I will keep the community constantly updated on the > > progress of the module. > > > > Every feedback is welcome so please do not hesitate to send me yours! ;) > > > > > > > > Roberta > > > > > > > > 2018-05-15 23:46 GMT+02:00 Pierre Roudier <pierre.roud...@gmail.com>: > > > > Interesting to hear your results, Roberta -- the reason I brought this > > up is that some of my colleagues (non-GRASS users :( ) tried it very > > successfully. > > > > Happy to follow up with them if need be, > > > > P > > > > > > On 15 May 2018 at 22:03, Roberta Fagandini <robifagand...@gmail.com> > wrote: > >> Hi Pierre! > >> Thank you so much for your hints! > >> I have already tested Fmask with Sentinel 2 images but I didn't have > great > >> results. However, it is worth investigating better! > >> Thanks for all the references! > >> > >> Roberta > >> > >> > >> 2018-05-15 0:51 GMT+02:00 Pierre Roudier <pierre.roud...@gmail.com>: > >>> > >>> Hi Roberta, > >>> > >>> On top of the review linked by Vero, I thought I'd mention the Fmask > >>> procedure -- it seems to give great results and there is a python > >>> library on Github. > >>> > >>> *Relevant GRASS GIS tickets*: > >>> > >>> https://trac.osgeo.org/grass/ticket/3473 > >>> https://trac.osgeo.org/grass/ticket/3283 > >>> > >>> *Papers*: > >>> > >>> > >>> > >>> https://www.researchgate.net/publication/270596187_ > Improvement_and_expansion_of_the_Fmask_algorithm_Cloud_ > cloud_shadow_and_snow_detection_for_Landsats_4-7_8_and_Sentinel_2_images > >>> > >>> > >>> https://www.researchgate.net/publication/324836341_ > Improvement_of_the_Fmask_algorithm_for_Sentinel-2_ > images_Separating_clouds_from_bright_surfaces_based_on_parallax_effects > >>> > >>> *Software*: > >>> > >>> http://pythonfmask.org/en/latest/ > >>> https://github.com/prs021/fmask > >>> > >>> Hopefully this is helpful, > >>> > >>> Pierre > >>> > >>> On 7 May 2018 at 19:49, Roberta Fagandini <robifagand...@gmail.com> > >>> wrote: > >>> > > >>> > > >>> > 2018-05-06 21:52 GMT+02:00 Veronica Andreo <veroand...@gmail.com>: > >>> >> > >>> >> Hey Robi, > >>> > > >>> > > >>> > Hi Vero!! > >>> > > >>> >> > >>> >> > >>> >> I just found this review [0]. It is for Landsat, but maybe some > >>> >> insights > >>> >> could be also useful for you (?) > >>> > > >>> > > >>> > Thank you so much! I know this paper and it could be very useful > >>> > especially > >>> > for the second part of the procedure. > >>> > I'll read it carefully! > >>> > > >>> >> > >>> >> > >>> >> Cheers :), > >>> >> Vero > >>> > > >>> > > >>> > Thanks! > >>> > Robi > >>> > > >>> >> > >>> >> > >>> >> [0] > >>> >> > >>> >> > >>> >> https://www.researchgate.net/publication/324975294_Cloud_ > and_Cloud_Shadow_Detection_for_Landsat_Images_The_Fundamental_Basis_for_ > Analyzing_Landsat_Time_Series > >>> >> > >>> >> El jue., 3 may. 2018 a las 22:06, Roberto Marzocchi > >>> >> (<roberto.marzoc...@gmail.com>) escribió: > >>> >>> > >>> >>> Nice! The last step of the script you have written in python works > as > >>> >>> you > >>> >>> expected. > >>> >>> > >>> >>> Now it is important to draw a diagram (or schema ) as a summary for > >>> >>> you > >>> >>> (you have worked a lot in the last few months) and to share it with > >>> >>> Moritz > >>> >>> and Markus. > >>> >>> > >>> >>> After that, test, test and test ;-) for validation/calibration of > the > >>> >>> automatic procedure. > >>> >>> > >>> >>> R > >>> >>> > >>> >>> 2018-05-03 18:48 GMT+02:00 Roberta Fagandini > >>> >>> <robifagand...@gmail.com>: > >>> >>>> > >>> >>>> > >>> >>>> 2018-05-03 14:03 GMT+02:00 Moritz Lennert > >>> >>>> <mlenn...@club.worldonline.be>: > >>> >>>>> > >>> >>>>> Hi Roberta, > >>> >>>> > >>> >>>> > >>> >>>> Hi Moritz and Roberto! > >>> >>>> > >>> >>>>> > >>> >>>>> > >>> >>>>> On 25/04/18 18:03, Roberta Fagandini wrote: > >>> >>>>>> > >>> >>>>>> > >>> >>>>>> > >>> >>>>>> 2018-04-25 16:03 GMT+02:00 Moritz Lennert > >>> >>>>>> <mlenn...@club.worldonline.be > >>> >>>>>> <mailto:mlenn...@club.worldonline.be>>: > >>> >>>>>> Looking at your bash scripts, I think the first thing to do > >>> >>>>>> during > >>> >>>>>> this bonding period is, as you planned yourself, to get > >>> >>>>>> familiar > >>> >>>>>> with the writing of GRASS modules in Python. You can have a > >>> >>>>>> look > >>> >>>>>> at > >>> >>>>>> existing scripts [1, 2] to get feeling for this works and > how > >>> >>>>>> to > >>> >>>>>> structure addon code in order to make it directly > installable > >>> >>>>>> with > >>> >>>>>> g.extension. > >>> >>>>>> > >>> >>>>>> You can find the actual function definitions and > documentation > >>> >>>>>> of > >>> >>>>>> the GRASS Python scripting library at [3]. The functions in > >>> >>>>>> that > >>> >>>>>> library should be more than enough to translate your scripts > >>> >>>>>> into > >>> >>>>>> a > >>> >>>>>> (or several) modules. > >>> >>>>>> > >>> >>>>>> Be aware that GRASS modules create their own GUI. So, unless > >>> >>>>>> you > >>> >>>>>> need some interactive features in your modules, you will not > >>> >>>>>> have > >>> >>>>>> to > >>> >>>>>> program your own GUI. > >>> >>>>>> > >>> >>>>>> > >>> >>>>>> Thank you for your precious suggestions! I'll start studying how > >>> >>>>>> to > >>> >>>>>> write a GRASS module in Python in the next days and at the same > >>> >>>>>> time I will > >>> >>>>>> keep on testing the procedures so as to show you some results > and > >>> >>>>>> fix some > >>> >>>>>> open points. > >>> >>>>>> > >>> >>>>>> > >>> >>>>>> Something else you should probably do during this bonding > time > >>> >>>>>> is > >>> >>>>>> to > >>> >>>>>> elaborate a schema of your algorithm, so that it is easier > to > >>> >>>>>> understand what it does at each step. > >>> >>>>>> > >>> >>>>>> > >>> >>>>>> Yes, this could be very useful also for me in order to better > >>> >>>>>> organize > >>> >>>>>> and put in order everything! > >>> >>>>>> > >>> >>>>> > >>> >>>>> Have you advanced on any of this ? Do you have any questions ? > >>> >>>>> Please > >>> >>>>> don't hesitate to ask on the mailing list. > >>> >>>> > >>> >>>> > >>> >>>> Yes, I started working with GRASS Python scripting library. I'm > >>> >>>> following the link [0] you suggested, I'm also looking at other > >>> >>>> existing > >>> >>>> GRASS scripts [1,2] and moreover, Roberto gave me one of his > scripts > >>> >>>> as an > >>> >>>> example. I have just committed the first version of the python > >>> >>>> script > >>> >>>> I'm > >>> >>>> working on, it works and I'm quite satisfied ;-) > >>> >>>> Tomorrow I want to elaborate the schema of the algorithm and at > the > >>> >>>> same > >>> >>>> time, I have to keep testing the procedure. As I wrote in the bash > >>> >>>> file, > >>> >>>> shadows detection seems to be strongly land cover dependent > >>> >>>> therefore > >>> >>>> I > >>> >>>> think it is necessary to test the procedure using several images > >>> >>>> sensed in > >>> >>>> different seasons, latitude, etc. > >>> >>>> > >>> >>>> Anyway, I'll commit some results tomorrow so as to show you > >>> >>>> something > >>> >>>> more concrete! > >>> >>>>> > >>> >>>>> > >>> >>>>> Best wishes, > >>> >>>>> Moritz > >>> >>>> > >>> >>>> > >>> >>>> Best regards, > >>> >>>> Roberta > >>> >>>> > >>> >>>> [0] > >>> >>>> https://grass.osgeo.org/grass75/manuals/libpython/ > script_intro.html > >>> >>>> [1] https://trac.osgeo.org/grass/browser/grass/trunk/scripts > >>> >>>> [2] https://trac.osgeo.org/grass/browser/grass-addons/grass7 > >>> >>> > >>> >>> > >>> >>> _______________________________________________ > >>> >>> grass-dev mailing list > >>> >>> grass-dev@lists.osgeo.org > >>> >>> https://lists.osgeo.org/mailman/listinfo/grass-dev > >>> > > >>> > > >>> > > >>> > _______________________________________________ > >>> > grass-dev mailing list > >>> > grass-dev@lists.osgeo.org > >>> > https://lists.osgeo.org/mailman/listinfo/grass-dev > >> > >> > > > > >
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