[GRASS-dev] OSGeo-SoC 2016 application

Yang, Bo (yangb2) yangb2 at mail.uc.edu
Tue Mar 15 20:49:16 PDT 2016

Hi Luca,

Thank you for the reply and info. It is great if you could co-mentor this project. I would be more interest in implementing my spatio-temporal fusion algorithm as an open source plug-in. Actually, I already have the preliminary python code for the raster fusion, including modules of spatio-temporal semi-variogram calculating, exponential/Gaussian fitting, spatio-temporal fusion, uncertainty estimation and etc. Currently it runs well for fusing MODIS and Landsat data. But it is just a preliminary program, I think a lot more works need to be done to make it professional and could incorporated into GRASS framework. 
I've read the link you sent to me. I think it is a good point to add it to r.series.interp, which I noticed author is Sören Gebbert. Should I ask Sören if he is interested to be a potential mentor? Furthermore, could you advise what should I do now to get start for the programming environmental as well as prepare the proposal? 

Bo Yang

-----Original Message-----
From: Luca Delucchi [mailto:lucadeluge at gmail.com] 
Sent: Tuesday, March 15, 2016 5:28 AM
To: Yang, Bo (yangb2) <yangb2 at mail.uc.edu>
Cc: grass-dev at lists.osgeo.org
Subject: Re: [GRASS-dev] OSGeo-SoC 2016 application

On 15 March 2016 at 03:54, Yang, Bo (yangb2) <yangb2 at mail.uc.edu> wrote:
> Hello,

Hi Bo Yang,

> In addition, I have an idea based on my MA thesis project:
> Spatio-temporal fusion of multi-scale data with in a cokriging framework.
> This project extends traditional cokriging method for blending spatial 
> data sets with different temporal sampling frequency and spatial 
> resolution (density). It can be used for both raster data and vector 
> data, effectively fill in data gaps due to severe weather condition, 
> instrument malfunction, or other reasons, filtering out data noise, 
> and generate reliable results at both high spatial resolution and high 
> temporal frequency with associated uncertainty estimates.
> It would be greatly appreciated if someone interested in my idea and 
> could guide me how to get start and prepare the proposal. Thanks for 
> your time and I am looking forward to hearing from you.

This is really interesting, In GRASS GIS Temporal Framework [0][1] already exists a module for raster gapfilling [2], it uses the module r.series.interp [3]. The idea could be to add a new method in r.series.interp and a new vector module something like v.series.interp and after you could add the new functionality to GRASS GIS Temporal Framework.

I could co-mentor this proposal, maybe Soeren could be a good mentor for this proposal....

> Best regards,
> Bo Yang

[0] https://grass.osgeo.org/grass71/manuals/temporalintro.html
[1] https://grasswiki.osgeo.org/wiki/Temporal_data_processing
[2] https://grass.osgeo.org/grass71/manuals/t.rast.gapfill.html
[3] https://grass.osgeo.org/grass71/manuals/r.series.interp.html



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