<div dir="ltr">Hi Pierre!<div>Thank you so much for your hints!</div><div>I have already tested Fmask with Sentinel 2 images but I didn't have great results. However, it is worth investigating better! </div><div>Thanks for all the references!</div><div><br></div><div>Roberta<br><div class="gmail_extra"><br><div class="gmail_quote">2018-05-15 0:51 GMT+02:00 Pierre Roudier <span dir="ltr"><<a href="mailto:pierre.roudier@gmail.com" target="_blank">pierre.roudier@gmail.com</a>></span>:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi Roberta,<br>
<br>
On top of the review linked by Vero, I thought I'd mention the Fmask<br>
procedure -- it seems to give great results and there is a python<br>
library on Github.<br>
<br>
*Relevant GRASS GIS tickets*:<br>
<br>
<a href="https://trac.osgeo.org/grass/ticket/3473" rel="noreferrer" target="_blank">https://trac.osgeo.org/grass/t<wbr>icket/3473</a><br>
<a href="https://trac.osgeo.org/grass/ticket/3283" rel="noreferrer" target="_blank">https://trac.osgeo.org/grass/t<wbr>icket/3283</a><br>
<br>
*Papers*:<br>
<br>
<a href="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" rel="noreferrer" target="_blank">https://www.researchgate.net/p<wbr>ublication/270596187_Improveme<wbr>nt_and_expansion_of_the_Fmask_<wbr>algorithm_Cloud_cloud_shadow_<wbr>and_snow_detection_for_<wbr>Landsats_4-7_8_and_Sentinel_2_<wbr>images</a><br>
<a href="https://www.researchgate.net/publication/324836341_Improvement_of_the_Fmask_algorithm_for_Sentinel-2_images_Separating_clouds_from_bright_surfaces_based_on_parallax_effects" rel="noreferrer" target="_blank">https://www.researchgate.net/p<wbr>ublication/324836341_Improveme<wbr>nt_of_the_Fmask_algorithm_for_<wbr>Sentinel-2_images_Separating_<wbr>clouds_from_bright_surfaces_<wbr>based_on_parallax_effects</a><br>
<br>
*Software*:<br>
<br>
<a href="http://pythonfmask.org/en/latest/" rel="noreferrer" target="_blank">http://pythonfmask.org/en/late<wbr>st/</a><br>
<a href="https://github.com/prs021/fmask" rel="noreferrer" target="_blank">https://github.com/prs021/fmas<wbr>k</a><br>
<br>
Hopefully this is helpful,<br>
<br>
Pierre<br>
<div class="m_-2069296500697362270HOEnZb"><div class="m_-2069296500697362270h5"><br>
On 7 May 2018 at 19:49, Roberta Fagandini <<a href="mailto:robifagandini@gmail.com" target="_blank">robifagandini@gmail.com</a>> wrote:<br>
><br>
><br>
> 2018-05-06 21:52 GMT+02:00 Veronica Andreo <<a href="mailto:veroandreo@gmail.com" target="_blank">veroandreo@gmail.com</a>>:<br>
>><br>
>> Hey Robi,<br>
><br>
><br>
> Hi Vero!!<br>
><br>
>><br>
>><br>
>> I just found this review [0]. It is for Landsat, but maybe some insights<br>
>> could be also useful for you (?)<br>
><br>
><br>
> Thank you so much! I know this paper and it could be very useful especially<br>
> for the second part of the procedure.<br>
> I'll read it carefully!<br>
><br>
>><br>
>><br>
>> Cheers :),<br>
>> Vero<br>
><br>
><br>
> Thanks!<br>
> Robi<br>
><br>
>><br>
>><br>
>> [0]<br>
>> <a href="https://www.researchgate.net/publication/324975294_Cloud_and_Cloud_Shadow_Detection_for_Landsat_Images_The_Fundamental_Basis_for_Analyzing_Landsat_Time_Series" rel="noreferrer" target="_blank">https://www.researchgate.net/p<wbr>ublication/324975294_Cloud_and<wbr>_Cloud_Shadow_Detection_for_<wbr>Landsat_Images_The_Fundamental<wbr>_Basis_for_Analyzing_Landsat_<wbr>Time_Series</a><br>
>><br>
>> El jue., 3 may. 2018 a las 22:06, Roberto Marzocchi<br>
>> (<<a href="mailto:roberto.marzocchi@gmail.com" target="_blank">roberto.marzocchi@gmail.com</a>><wbr>) escribió:<br>
>>><br>
>>> Nice! The last step of the script you have written in python works as you<br>
>>> expected.<br>
>>><br>
>>> Now it is important to draw a diagram (or schema ) as a summary for you<br>
>>> (you have worked a lot in the last few months) and to share it with Moritz<br>
>>> and Markus.<br>
>>><br>
>>> After that, test, test and test ;-) for validation/calibration of the<br>
>>> automatic procedure.<br>
>>><br>
>>> R<br>
>>><br>
>>> 2018-05-03 18:48 GMT+02:00 Roberta Fagandini <<a href="mailto:robifagandini@gmail.com" target="_blank">robifagandini@gmail.com</a>>:<br>
>>>><br>
>>>><br>
>>>> 2018-05-03 14:03 GMT+02:00 Moritz Lennert<br>
>>>> <<a href="mailto:mlennert@club.worldonline.be" target="_blank">mlennert@club.worldonline.be</a>><wbr>:<br>
>>>>><br>
>>>>> Hi Roberta,<br>
>>>><br>
>>>><br>
>>>> Hi Moritz and Roberto!<br>
>>>><br>
>>>>><br>
>>>>><br>
>>>>> On 25/04/18 18:03, Roberta Fagandini wrote:<br>
>>>>>><br>
>>>>>><br>
>>>>>><br>
>>>>>> 2018-04-25 16:03 GMT+02:00 Moritz Lennert<br>
>>>>>> <<a href="mailto:mlennert@club.worldonline.be" target="_blank">mlennert@club.worldonline.be</a> <mailto:<a href="mailto:mlennert@club.worldonline.be" target="_blank">mlennert@club.worldonl<wbr>ine.be</a>>>:<br>
>>>>>> Looking at your bash scripts, I think the first thing to do during<br>
>>>>>> this bonding period is, as you planned yourself, to get familiar<br>
>>>>>> with the writing of GRASS modules in Python. You can have a look<br>
>>>>>> at<br>
>>>>>> existing scripts [1, 2] to get feeling for this works and how to<br>
>>>>>> structure addon code in order to make it directly installable with<br>
>>>>>> g.extension.<br>
>>>>>><br>
>>>>>> You can find the actual function definitions and documentation of<br>
>>>>>> the GRASS Python scripting library at [3]. The functions in that<br>
>>>>>> library should be more than enough to translate your scripts into<br>
>>>>>> a<br>
>>>>>> (or several) modules.<br>
>>>>>><br>
>>>>>> Be aware that GRASS modules create their own GUI. So, unless you<br>
>>>>>> need some interactive features in your modules, you will not have<br>
>>>>>> to<br>
>>>>>> program your own GUI.<br>
>>>>>><br>
>>>>>><br>
>>>>>> Thank you for your precious suggestions! I'll start studying how to<br>
>>>>>> write a GRASS module in Python in the next days and at the same time I will<br>
>>>>>> keep on testing the procedures so as to show you some results and fix some<br>
>>>>>> open points.<br>
>>>>>><br>
>>>>>><br>
>>>>>> Something else you should probably do during this bonding time is<br>
>>>>>> to<br>
>>>>>> elaborate a schema of your algorithm, so that it is easier to<br>
>>>>>> understand what it does at each step.<br>
>>>>>><br>
>>>>>><br>
>>>>>> Yes, this could be very useful also for me in order to better organize<br>
>>>>>> and put in order everything!<br>
>>>>>><br>
>>>>><br>
>>>>> Have you advanced on any of this ? Do you have any questions ? Please<br>
>>>>> don't hesitate to ask on the mailing list.<br>
>>>><br>
>>>><br>
>>>> Yes, I started working with GRASS Python scripting library. I'm<br>
>>>> following the link [0] you suggested, I'm also looking at other existing<br>
>>>> GRASS scripts [1,2] and moreover, Roberto gave me one of his scripts as an<br>
>>>> example. I have just committed the first version of the python script I'm<br>
>>>> working on, it works and I'm quite satisfied ;-)<br>
>>>> Tomorrow I want to elaborate the schema of the algorithm and at the same<br>
>>>> time, I have to keep testing the procedure. As I wrote in the bash file,<br>
>>>> shadows detection seems to be strongly land cover dependent therefore I<br>
>>>> think it is necessary to test the procedure using several images sensed in<br>
>>>> different seasons, latitude, etc.<br>
>>>><br>
>>>> Anyway, I'll commit some results tomorrow so as to show you something<br>
>>>> more concrete!<br>
>>>>><br>
>>>>><br>
>>>>> Best wishes,<br>
>>>>> Moritz<br>
>>>><br>
>>>><br>
>>>> Best regards,<br>
>>>> Roberta<br>
>>>><br>
>>>> [0] <a href="https://grass.osgeo.org/grass75/manuals/libpython/script_intro.html" rel="noreferrer" target="_blank">https://grass.osgeo.org/grass7<wbr>5/manuals/libpython/script_<wbr>intro.html</a><br>
>>>> [1] <a href="https://trac.osgeo.org/grass/browser/grass/trunk/scripts" rel="noreferrer" target="_blank">https://trac.osgeo.org/grass/b<wbr>rowser/grass/trunk/scripts</a><br>
>>>> [2] <a href="https://trac.osgeo.org/grass/browser/grass-addons/grass7" rel="noreferrer" target="_blank">https://trac.osgeo.org/grass/b<wbr>rowser/grass-addons/grass7</a><br>
>>><br>
>>><br>
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><br>
><br>
><br>
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</div></div></blockquote></div><br></div></div></div>