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  1. Just published a tutorial about using GRASS for a viewshed workflow that employs an observer-relevant surface to selectively represent obstructions that effectively block line of sight at pedestrian height. This derived layer is then used to perform a cumulative viewshed analysis. Check it out here: ecodiv.earth/post/intervisibil @grassgis

  2. Just published a tutorial about using GRASS for a viewshed workflow that employs an observer-relevant surface to selectively represent obstructions that effectively block line of sight at pedestrian height. This derived layer is then used to perform a cumulative viewshed analysis. Check it out here: ecodiv.earth/post/intervisibil #grassgis #osgeo #ahn #viewshed @grassgis

  3. Just published a tutorial about using GRASS for a viewshed workflow that employs an observer-relevant surface to selectively represent obstructions that effectively block line of sight at pedestrian height. This derived layer is then used to perform a cumulative viewshed analysis. Check it out here: ecodiv.earth/post/intervisibil #grassgis #osgeo #ahn #viewshed @grassgis

  4. Just published a tutorial about using GRASS for a viewshed workflow that employs an observer-relevant surface to selectively represent obstructions that effectively block line of sight at pedestrian height. This derived layer is then used to perform a cumulative viewshed analysis. Check it out here: ecodiv.earth/post/intervisibil #grassgis #osgeo #ahn #viewshed @grassgis

  5. Just published a tutorial about using GRASS for a viewshed workflow that employs an observer-relevant surface to selectively represent obstructions that effectively block line of sight at pedestrian height. This derived layer is then used to perform a cumulative viewshed analysis. Check it out here: ecodiv.earth/post/intervisibil #grassgis #osgeo #ahn #viewshed @grassgis

  6. Just updated my 'Species Distribution Modeling in GRASS' reader 📘. Right in time for our upcoming module for my 'Earth, data-analysis and visualization students at 😅

    Mostly small changes about the organization of results. The least exciting part of modeling, but it can absolutely mess up your workflow if not done right. Hopefully this lands before students learn that the hard way. 🤔

    ecodiv.earth/TutorialsNotes/sd

  7. Just updated my 'Species Distribution Modeling in GRASS' reader 📘. Right in time for our upcoming module for my 'Earth, data-analysis and visualization students at #HASgreenacademy 😅

    Mostly small changes about the organization of results. The least exciting part of modeling, but it can absolutely mess up your workflow if not done right. Hopefully this lands before students learn that the hard way. 🤔

    ecodiv.earth/TutorialsNotes/sd

    #SDM #Teaching #ReproducibleScience #GIS #GRASSGIS #FOSS #osgeo

  8. Just updated my 'Species Distribution Modeling in GRASS' reader 📘. Right in time for our upcoming module for my 'Earth, data-analysis and visualization students at #HASgreenacademy 😅

    Mostly small changes about the organization of results. The least exciting part of modeling, but it can absolutely mess up your workflow if not done right. Hopefully this lands before students learn that the hard way. 🤔

    ecodiv.earth/TutorialsNotes/sd

    #SDM #Teaching #ReproducibleScience #GIS #GRASSGIS #FOSS #osgeo

  9. Just updated my 'Species Distribution Modeling in GRASS' reader 📘. Right in time for our upcoming module for my 'Earth, data-analysis and visualization students at #HASgreenacademy 😅

    Mostly small changes about the organization of results. The least exciting part of modeling, but it can absolutely mess up your workflow if not done right. Hopefully this lands before students learn that the hard way. 🤔

    ecodiv.earth/TutorialsNotes/sd

    #SDM #Teaching #ReproducibleScience #GIS #GRASSGIS #FOSS #osgeo

  10. I've created two new GRASS addons to facilitate the exchange of raster styles between QGIS and GRASS: r.colors.qml and `r.colors.toqml`.

    🎨 r.colors.qml: Apply QGIS QML style files directly to your GRASS rasters.
    🔄 r.colors.toqml: Export GRASS color tables and categories back to QML for use in QGIS.

    Read the full post here! 👇
    ecodiv.earth/post/use_qml_in_g

    @grassgis

  11. It was great to connect with the open source geo community at the [FOSS4G.NL 2025](foss4g.nl/). The event highlighted innovative open-source projects and collaborations.

    I presented on [GRASS](grass.osgeo.org/) in education and research, outlining its current state and sharing examples of how I use it in my classes and research at the HAS green academy. [View slides](ecodiv.earth/share/foss4gnl202)

    @grassgis @osgeonl

  12. It was great to connect with the open source geo community at the [FOSS4G.NL 2025](foss4g.nl/). The event highlighted innovative open-source projects and collaborations.

    I presented on [GRASS](grass.osgeo.org/) in education and research, outlining its current state and sharing examples of how I use it in my classes and research at the HAS green academy. [View slides](ecodiv.earth/share/foss4gnl202)

    #FOSS4GNL #Geo #OpenSource @grassgis @osgeonl #HASgreenacademy

  13. It was great to connect with the open source geo community at the [FOSS4G.NL 2025](foss4g.nl/). The event highlighted innovative open-source projects and collaborations.

    I presented on [GRASS](grass.osgeo.org/) in education and research, outlining its current state and sharing examples of how I use it in my classes and research at the HAS green academy. [View slides](ecodiv.earth/share/foss4gnl202)

    #FOSS4GNL #Geo #OpenSource @grassgis @osgeonl #HASgreenacademy

  14. It was great to connect with the open source geo community at the [FOSS4G.NL 2025](foss4g.nl/). The event highlighted innovative open-source projects and collaborations.

    I presented on [GRASS](grass.osgeo.org/) in education and research, outlining its current state and sharing examples of how I use it in my classes and research at the HAS green academy. [View slides](ecodiv.earth/share/foss4gnl202)

    #FOSS4GNL #Geo #OpenSource @grassgis @osgeonl #HASgreenacademy

  15. @ecodiv #piwigo is a very good solution ;-)
    On line, there's also Pixelfed.

  16. Renamed a mapset in my GRASS database, and all space-time datasets in that mapset became inaccessible. Something to do with how the temporal database stores references to these space-time datasets.

    Mildly annoyed at my past self for not planning mapset names better, but mostly curious now.

    Time to explore how GRASS handles temporal metadata under the hood 🕵️‍♂️. A bit nerdy perhaps, but I did find an admittedly hacky solution. ecodiv.earth/post/Fix_STRDS_re

  17. Explore species distribution modeling with Maxent in GRASS GIS? Check out my new post for a step-by-step guide!

    Read more: ecodiv.earth/post/sdm_using_ma

    @grassgis

  18. I am a happy user of . For Linux, it is available as which I usually install using .

    Unfortunately, after upgrading Ubuntu, Logseq couldn't be launched anymore in the usual way. After some searching online, I found a workaround.

    You need to locate and open the desktop file and add `--no-sandbox %u` to the end of the line starting with `Exec`.

    Not an ideal solution, but it'll have to do for now. See this post for more details. ecodiv.earth/post/logseq_deskt

  19. I just updated the tutorial for the r.suitability.regions addon for . I took the opportunity to change it from the excellent to the even better format, which is what I use for my website as well. In my experience, Quarto format offers a more streamlined experience and more out-of-the-box options to tweak the page layout, placement of figures, etc.

    You can find the tutorial on ecodiv.earth/TutorialsNotes/Su

  20. Check out the new global tree canopy height map by Meta and the World Resources Institute (sustainability.fb.com/blog/202). See ecodiv.earth/post/treeheightma for a description of how to import the map for your area of interest in and get a map with acquisition dates.

    Be careful when using the data for your analysis, though. Some patterns clearly reflect differences in the dates of acquisition of the source imagery, rather than actual differences on the ground.

    @grassgis

  21. Check out the new global tree canopy height map by Meta and the World Resources Institute (sustainability.fb.com/blog/202). See ecodiv.earth/post/treeheightma for a description of how to import the map for your area of interest in #grassgis and get a map with acquisition dates.

    Be careful when using the data for your analysis, though. Some patterns clearly reflect differences in the dates of acquisition of the source imagery, rather than actual differences on the ground.

    #CHM #WRI #META @grassgis #opendata

  22. Check out the new global tree canopy height map by Meta and the World Resources Institute (sustainability.fb.com/blog/202). See ecodiv.earth/post/treeheightma for a description of how to import the map for your area of interest in #grassgis and get a map with acquisition dates.

    Be careful when using the data for your analysis, though. Some patterns clearly reflect differences in the dates of acquisition of the source imagery, rather than actual differences on the ground.

    #CHM #WRI #META @grassgis #opendata

  23. Check out the new global tree canopy height map by Meta and the World Resources Institute (sustainability.fb.com/blog/202). See ecodiv.earth/post/treeheightma for a description of how to import the map for your area of interest in #grassgis and get a map with acquisition dates.

    Be careful when using the data for your analysis, though. Some patterns clearly reflect differences in the dates of acquisition of the source imagery, rather than actual differences on the ground.

    #CHM #WRI #META @grassgis #opendata

  24. Check out the new global tree canopy height map by Meta and the World Resources Institute (sustainability.fb.com/blog/202). See ecodiv.earth/post/treeheightma for a description of how to import the map for your area of interest in #grassgis and get a map with acquisition dates.

    Be careful when using the data for your analysis, though. Some patterns clearly reflect differences in the dates of acquisition of the source imagery, rather than actual differences on the ground.

    #CHM #WRI #META @grassgis #opendata

  25. @EUCommission
    Ich sehe gerade eher, dass man sinnlos und unnötiger Weise Milliarden(!!) in Militär "investiert"...
    🤮
    Ich sehe dagegen NICHT, dass man in digitale, ökonomische und kulturelle Souveränität investiert und den sozialen Ausgleich verbessert.
    Ich sehe auch NICHT, dass man Europa klimatisch absichert und ökologisch diversifiziert.
    😠
    #MadeInEurope
    #ITSouveränität #opensouce
    #GreenDeals #EcoDiversity
    #SocialEurope
    EINFACH MAL MACHEN!
    🧐

  26. @EUCommission
    Ich sehe gerade eher, dass man sinnlos und unnötiger Weise Milliarden(!!) in Militär "investiert"...
    🤮
    Ich sehe dagegen NICHT, dass man in digitale, ökonomische und kulturelle Souveränität investiert und den sozialen Ausgleich verbessert.
    Ich sehe auch NICHT, dass man Europa klimatisch absichert und ökologisch diversifiziert.
    😠
    #MadeInEurope
    #ITSouveränität #opensouce
    #GreenDeals #EcoDiversity
    #SocialEurope
    EINFACH MAL MACHEN!
    🧐