[GRASS-dev] GSoC introduction Roberta Fagandini

[Pierre Roudier]

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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