[GRASS-dev] GSoC introduction Roberta Fagandini

[Roberta Fagandini]

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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