Marketing campaign

To better advertise the capabilities of GRASS GIS and its friendly community, we plan a marketing campaign. Some ideas are

• (ideally) monthly blog post on the main site, with social media advertisements
• ask students of our courses to fix bugs, add examples to manuals or write small tutorials as assignements that we could then show off with
• pick some works of the students and create webinars or live streams
• ... add more

Ideas

• "feature of the month" with screenshots (use manual pages and Wiki material)
• advertise the mailing lists: purpose and where to subscribe
• newcomer level technical articles about
  • new forthcoming startup in GRASS GIS 8
  • data import/registration
  • from zero to hero
  • the new startup GUI
  • ...
• power user level technical articles about
  • writing examples for manual pages
  • translating messages in Transifex
  • ...
• dev level technical articles about
  • compiling the software
  • work done on removing compiler warnings
  • Python linting and formatting efforts
  • C linting and formatting efforts
  • ...
• edu related articles about
  • tutorials
  • curriculum (goal: enable academics to easier teach GRASS GIS)
  • ...
• present new add-ons and examples of workflows using them
• Nice tweet about ongoing code development: ​https://gitmemory.com/OSGeo/grass
• Twitter: identify more hashtags to widen up the potential followers
• ...

Twitter posts

• See old posts here: ​https://twitter.com/GRASSGIS

Ideas for upcoming or recurrent posts

New ideas:

• Post PSC meeting minutes
• advertise translations in Transifex (what about ​https://weblate.osgeo.org/ ?)
• promote/recall folks about mailing lists and where to enroll and that they are friendly
• show the list of open PRs with important bug fixes and cool improvements and invite folks to test and review
• promote GRASS GIS related talks at FOSS4G 2021:
  • State of GRASS GIS: The Dawn of a New Era: ​https://www.youtube.com/watch?v=wk3X_Vzp8zg
  • A tool for machine learning based dasymetric mapping approaches in GRASS GIS: ​https://www.youtube.com/watch?v=te4-eWA7aTE
  • Sentinel processing in GRASS GIS: A growing toolset for downloading, preprocessing and multitemporal analysis of Copernicus Sentinel data: ​https://www.youtube.com/watch?v=btk-S5jUAfk (#grassgis #satellite #ESA #Copernicus #Sentinel)
  • I hated the way GRASS started so I changed it: ​https://www.youtube.com/watch?v=pF0hrebqdtA
  • Cold war reconnaissance imagery reloaded: orthorectifying the 1960s in high resolution: ​https://www.youtube.com/watch?v=duoDyN-PDqg (#archeology #forestchange #coastlines #grassgis @MundialisInfo ...)
  • News from actinia: ​https://www.youtube.com/watch?v=JopHVkK5Kfo (#cloud #hpc #grassgis @MundialisInfo ...)
  • HERMOSA: Supporting the UN decade on ecosystem restoration utilizing geo- and earth observation technologies: ​https://www.youtube.com/watch?v=e6q8Fo9j3-E (#ecosystem #restoration #grassgis @MundialisInfo @UNEP ...)
• promote discussions in github: ​https://github.com/OSGeo/grass/discussions
• OpenCollective: Our new money sponsoring pool is now at ​https://opencollective.com/grass
  • important: connect a goal with it

Tag cloud (collection, please expand):

• @grassgis @osgeo
• #gis #foss #foss4g #gischat
• #satellite #remotesensing #EO
• #opensource
• #mapping
• #community
• ...

Upcoming posts (may be recycled and posted again)

r.futures new validation modules (done)

The r.futures suite got two new modules for validation of the simulation results: https://grass.osgeo.org/grass78/manuals/addons/r.futures.gridvalidation.html https://grass.osgeo.org/grass78/manuals/addons/r.futures.validation.html r.futures.* implements the FUTure Urban-Regional Environment Simulation (FUTURES), a model for multilevel simulations of emerging urban-rural landscape structure. Have a look at the submodels and their interactions here: https://grass.osgeo.org/grass78/manuals/addons/r.futures.html (use this pic: https://grass.osgeo.org/grass78/manuals/addons/r_futures_ncsmp.png)

NCSU course (done)

Geospatial Computing and Simulations course at @NCSUgeospatial with a lot of GRASS-related content - an open education resource @Geo4All_: ​https://ncsu-geoforall-lab.github.io/geospatial-simulations-course/topics/index.html (use this img: ​https://ncsu-geoforall-lab.github.io/geospatial-modeling-course/img/grass_index.png)

General list of GRASS courses/materials by NCSU (done)

Have a look at the impressive list of #GRASSGIS courses @NCSUgeospatial: ​https://geospatial.ncsu.edu/geoforall/courses.html All materials are online and open. Enjoy!!

Invite folks to test release branch 8 and complete the wiki page (we did a similar one for GRASS 8 RC1)

We have the GRASS GIS 8 branch! Have you tested it? Which feature do you like most? Help us fill in the new features page: ​https://trac.osgeo.org/grass/wiki/Grass8/NewFeatures80 We happily welcome text snippets and screenshots to highlight the new and exciting changes that will come with GRASS 8 as well as bug fixing, improvements, new modules, library changes, etc.

GRASS GIS + UAV + SDM for Rare Plant Monitoring (done)

A GRASS GIS hourly solar insolation model has been calculated using a 1 m resolution LiDAR derived DEM to find the time window with the least shadow along the cliff face in order to flight the UAV over it. Cool approach, ah? Have a look at the full paper here: ​https://www.mdpi.com/2504-446X/5/4/110 (img link: ​https://www.mdpi.com/drones/drones-05-00110/article_deploy/html/images/drones-05-00110-g007.png)

FOSS4G 2021 videos template post (done, but could be recycled in future FOSS4G)

Did you miss the talk about #topic in GRASS GIS @foss4g 2021?? The video is online now! Get your popcorn and enjoy the amazing #somethingrelatedtothetopic in #GRASSGIS with #author and the #grassgis dev team! youtube link

Xmas (we didn't use this one)

As Christmas present this year we give you the first release candidate of GRASS GIS 8!! Report any issues here: ​https://github.com/OSGeo/grass/issues Merry Xmas and happy holidays everybody~~

End of year toast (done)

On Wednesday Dec 29th at 20:00 UTC, GRASS GIS community will meet for the end of year toast (glasses, beers) Link will be published here: <thread link> Join us!!

New Year (we didn't use this one)

A lot happen this year! Have a look at our 2021 summary: <link> Glasses up for a great 2022!

New discussion forum in GitHub & mailing lists (done)

Do you have a question/topic you'd like to ask or discuss with the GRASS GIS community and devs? There are several channels available!! You can also search the archives for topics discussed in the past! GRASS GIS Discussion in GitHub: ​https://github.com/OSGeo/grass/discussions grass-user mailing list: ​https://lists.osgeo.org/mailman/listinfo/grass-user grass-dev mailing list: ​https://lists.osgeo.org/mailman/listinfo/grass-dev Full list of all channels: https://grass.osgeo.org/about/community/ Remember, any channel you choose, be friendly, pro-active and follow the etiquette: ​https://grasswiki.osgeo.org/wiki/Mailing_list_etiquette

Tangible Landscape and GRASS GIS for Geography Education (done)

Tangible Landscape and GRASS GIS were used to teach geography topics such as water flow and flooding phenomena to 11 yo students in a secondary school. How cool!! The Tangible Landscape system couples a physical model with its digital model in GRASS GIS via 3D scanning, geospatial processing, and projection. The main advantage of this tangible system is that children can interact with the physical model by hand and see the effects of changes to properties of the model or simulated landscape processes. They can then concentrate on spatial aspects and effects of changing landscape components. Students showed an improved understanding of the concept of contours and basic landforms, indicating that Tangible Landscape provides an easy-to-understand concept and teaching tool that improves the geospatial thinking of students. Add pics from the paper (fig 3 & 5) + link to the paper: ​https://link.springer.com/article/10.1007/s10639-021-10847-y Link to tangible modeling book (​https://doi.org/10.1007/978-3-319-89303-7)

r.in.usgs enhancements (to be posted)

Do you use USGS data regularly?? Keep an eye on the user-convenience and caching improvements coming to r.in.usgs, an addon for downloading and importing USGS data such as NED (elevation) and NAIP (imagery) into #GRASSGIS https://grass.osgeo.org/grass7/manuals/addons/r.in.usgs.html

GRASS 8 released (use the website news - to be posted)

New startup in GRASS GIS 8 (to be posted)

A thread with screenshots on how it works - search for material (see e.g.: ​https://drive.google.com/file/d/1dMTAKSW43P3lmIdcSIxRASDomIGxTyJL/view)

New info bars (to be posted)

Show info bars guiding data import - search for material

Student's projects/work in the context of GRASS mini grants (to be posted)

Redesigning the map display status bar combo box into a new settings dialog During GSoC 2021 Linda (twitter handle) proposed and implemented a simple prototype of Single-Window GUI. It looks really cool at first glance. Still, there are some shortcomings and missing features that need to be removed/implemented to provide the Single-Window GUI layout as an optional mode in upcoming GRASS version 8.2.0. In these couple of months, with the mentoring of Anna, Martin and Vaclav, Linda (twitter handle) will be working on the reorganization of the map display status bar towards a fully functional testable Single-Window GUI mode which addresses the map display window settings through a new dialog. Have a look at Linda's project and progress here: ​https://trac.osgeo.org/grass/wiki/wxGUIDevelopment/RedesigningStatusbar and also the latest relevant PRs therein. Testing and feedback is highly appreciated. We are really looking forward for the Single-Window GUI in full swing! Thanks Linda and her mentors for such great features! Space-Time Dataset Visualization and Improved Interactive Maps for grass.jupyter During GSoC 2021, Caitlin (twitter handle) along with her mentors, created “grass.jupyter”, a package that improves the integration of GRASS GIS and Jupyter with a set of functions for displaying GRASS data in Jupyter Notebooks. In its current state, grass.jupyter allows users to create static visuals and simple interactive maps. In these couple of months, mentored by Vaclav, helena and Stefan, Caitlin (twitter handle) will be working on new additional features to allow Jupyter users to fully and easily access the power of GRASS Specifically, she'll be focused on: create a class for visualizing space time datasets allowing users to create interactive time-sliders and non-interactive animations such as GIFs improve the integration with #folium so that users can access all of its functionality by means of new grass-folium objects create a function to display vector attribute data in nicely-formatted #pandas or #GeoPandas tables Have a look at Caitlin's project and progress here: ​https://trac.osgeo.org/grass/wiki/GSoC/2021/JupyterAndGRASS/MiniGrant2022 and also test her contributions here: ​https://mybinder.org/v2/gh/chaedri/grass/Jupyter-Timeseries?urlpath=lab%2Ftree%2Fdoc%2Fnotebooks%2FTemporal.ipynb. Testing and feedback is highly appreciated. We are really looking forward for grass-jupyter in full swing! Thanks Caitlin and her mentors for such great features!

See also

• ​https://grasswiki.osgeo.org/wiki/Promotional_material