[GRASS-dev] GSoC introduction Roberta Fagandini

Tue May 15 14:46:20 PDT 2018

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 <robifagandini at 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.roudier at 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 <robifagandini at gmail.com> wrote:
>> >
>> >
>> > 2018-05-06 21:52 GMT+02:00 Veronica Andreo <veroandreo at 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.marzocchi at 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
>> >>> <robifagandini at gmail.com>:
>> >>>>
>> >>>>
>> >>>> 2018-05-03 14:03 GMT+02:00 Moritz Lennert
>> >>>> <mlennert at 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
>> >>>>>> <mlennert at club.worldonline.be
>> >>>>>> <mailto:mlennert at 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 at lists.osgeo.org
>> >>> https://lists.osgeo.org/mailman/listinfo/grass-dev
>> >
>> >
>> >
>> > _______________________________________________
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