[GRASS-dev] GSoC introduction Roberta Fagandini

Wed May 16 14:42:03 PDT 2018

Hi Stefan and Roberta,

We can probably help too -- I work on Antarctic datasets: relief,
clouds, and very cold, white surface!

Cheers,

P

On 17 May 2018 at 02:22, Stefan Blumentrath <Stefan.Blumentrath at 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-bounces at lists.osgeo.org> On Behalf Of Roberta
> Fagandini
> Sent: onsdag 16. mai 2018 16.01
> To: Pierre Roudier <pierre.roudier at gmail.com>
> Cc: grass-dev <grass-dev at 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.roudier at 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 <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
>>> >>>
>>> >>>
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>>> >
>>> >
>>> >
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>>
>>
>
>