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#geoai — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #geoai, aggregated by home.social.

  1. Huh. I posted the @spatialised stance on #geoAI at bizGrindr and it:

    a. is doing site read numbers ("numbers", as in more than one read per month) - almost as much as the scrapers scraping cartographic designs.

    b. hasn't seen a single 'splainpost / yah but ... yet, which i am actually surprised about.

    either:
    - people care
    - bots are hitting keywords
    - people are stealing it.

    Probably the latter two. 🤷‍♂️

  2. 🚨 The working programme for the Earth Observation Summer School: “Data Science for Earth Observation: Hands-on Training in Python, R, and Julia” (17—21 August 2026; Location: Istanbul, Turkey) is now public: opengeohub.org/2026/01/29/eart
    👇 Do not miss the early-bird registration deadline (22nd May 2026): 🎫 pretix.eu/opengeohubfoundation
    We are expecting over 120 participants with 18 amazing lecturers covering different topics and coding frameworks. #geopython #openSource #openScience #GeoAI #Rspatial

  3. 🚨 The working programme for the Earth Observation Summer School: “Data Science for Earth Observation: Hands-on Training in Python, R, and Julia” (17—21 August 2026; Location: Istanbul, Turkey) is now public: opengeohub.org/2026/01/29/eart
    👇 Do not miss the early-bird registration deadline (22nd May 2026): 🎫 pretix.eu/opengeohubfoundation
    We are expecting over 120 participants with 18 amazing lecturers covering different topics and coding frameworks.

  4. 🚨 The working programme for the Earth Observation Summer School: “Data Science for Earth Observation: Hands-on Training in Python, R, and Julia” (17—21 August 2026; Location: Istanbul, Turkey) is now public: opengeohub.org/2026/01/29/eart
    👇 Do not miss the early-bird registration deadline (22nd May 2026): 🎫 pretix.eu/opengeohubfoundation
    We are expecting over 120 participants with 18 amazing lecturers covering different topics and coding frameworks. #geopython #openSource #openScience #GeoAI #Rspatial

  5. 🚨 The working programme for the Earth Observation Summer School: “Data Science for Earth Observation: Hands-on Training in Python, R, and Julia” (17—21 August 2026; Location: Istanbul, Turkey) is now public: opengeohub.org/2026/01/29/eart
    👇 Do not miss the early-bird registration deadline (22nd May 2026): 🎫 pretix.eu/opengeohubfoundation
    We are expecting over 120 participants with 18 amazing lecturers covering different topics and coding frameworks. #geopython #openSource #openScience #GeoAI #Rspatial

  6. 🚨 The working programme for the Earth Observation Summer School: “Data Science for Earth Observation: Hands-on Training in Python, R, and Julia” (17—21 August 2026; Location: Istanbul, Turkey) is now public: opengeohub.org/2026/01/29/eart
    👇 Do not miss the early-bird registration deadline (22nd May 2026): 🎫 pretix.eu/opengeohubfoundation
    We are expecting over 120 participants with 18 amazing lecturers covering different topics and coding frameworks. #geopython #openSource #openScience #GeoAI #Rspatial

  7. From the Leanpub Blog:

    Welcome to the Leanpub Launch video for GeoAI with Python: A Practical Guide to Open-Source Geospatial AI by Qiusheng Wu!

    Watch & read here:

    leanpub.com/blog/leanpub-book-

    #books #ai #geoai #python

  8. This has been way too long in the making and it's finally out:

    "Spatiotemporal Model Cards", basically a cheat sheet for documenting #GeoAI models so that you'll thank your past self when you circle back to your docs in the future

    📋 Markdown template ... github.com/anitagraser/model-c
    📝 #OpenAccess paper with all the details ... dl.acm.org/doi/abs/10.1145/380

    Still planning to put the essential explanations into the template to make it easier to use without consulting the paper 👩‍💻

    #SpatialDataScience

  9. This has been way too long in the making and it's finally out:

    "Spatiotemporal Model Cards", basically a cheat sheet for documenting models so that you'll thank your past self when you circle back to your docs in the future

    📋 Markdown template ... github.com/anitagraser/model-c
    📝 paper with all the details ... dl.acm.org/doi/abs/10.1145/380

    Still planning to put the essential explanations into the template to make it easier to use without consulting the paper 👩‍💻

  10. This has been way too long in the making and it's finally out:

    "Spatiotemporal Model Cards", basically a cheat sheet for documenting #GeoAI models so that you'll thank your past self when you circle back to your docs in the future

    📋 Markdown template ... github.com/anitagraser/model-c
    📝 #OpenAccess paper with all the details ... dl.acm.org/doi/abs/10.1145/380

    Still planning to put the essential explanations into the template to make it easier to use without consulting the paper 👩‍💻

    #SpatialDataScience

  11. This has been way too long in the making and it's finally out:

    "Spatiotemporal Model Cards", basically a cheat sheet for documenting #GeoAI models so that you'll thank your past self when you circle back to your docs in the future

    📋 Markdown template ... github.com/anitagraser/model-c
    📝 #OpenAccess paper with all the details ... dl.acm.org/doi/abs/10.1145/380

    Still planning to put the essential explanations into the template to make it easier to use without consulting the paper 👩‍💻

    #SpatialDataScience

  12. I’ve published a new video showing how the AI Edit plugin by #TerraLab can be used to visualise spatial planning scenarios in #QGIS. ▶️ QwastTube: videos.qwast-gis.com/w/iUHsR4ceNz... ▶️ YouTube: youtu.be/8qiNQVCGlsQ #GeoAI #GenAI #SpatialPlanning #GIS #NanoBanana

    Visualise Spatial Planning Sce...

  13. I’ve published a new video showing how the AI Edit plugin by can be used to visualise spatial planning scenarios in .

    From replacing an airport to simulating floods, adding green roofs, reopening canals, or generating a Dutch polder, it’s all there, with impressive visual results.

    ▶️ QwastTube: videos.qwast-gis.com/w/iUHsR4c

  14. Spatial Signals [podcast]
    --
    americaview.podbean.com/ <-- shared podcast entry page
    --
    americaview.substack.com/ <-- shared Spatial Signals Substack page
    --
    [note that I am not associated with this podcast in any way, and this post should not be considered an endorsement]
    “Spatial Signals is a podcast about remote sensing, GIS, and geospatial technologies - but more importantly, it’s a podcast about the people who use and apply them. This podcast is sponsored by AmericaView, the national remote sensing network dedicated to empowering Earth Observation…”
    #SpatialSignals #AmericaView #Geospatial #RemoteSensing #GIS #spatial #mapping #GeoAI #OpenSource #podcast #remotesensing #earthobservation #spatialprofessionals #SMEs #socialmedia #GISgeeks #usecase #publicgood #spatialanalysis #spatiotemporal #model #modeling
    @SpatialSignals | @Youngstown State University | @AmericaView

  15. Spatial Signals [podcast]
    --
    americaview.podbean.com/ <-- shared podcast entry page
    --
    americaview.substack.com/ <-- shared Spatial Signals Substack page
    --
    [note that I am not associated with this podcast in any way, and this post should not be considered an endorsement]
    “Spatial Signals is a podcast about remote sensing, GIS, and geospatial technologies - but more importantly, it’s a podcast about the people who use and apply them. This podcast is sponsored by AmericaView, the national remote sensing network dedicated to empowering Earth Observation…”
    #SpatialSignals #AmericaView #Geospatial #RemoteSensing #GIS #spatial #mapping #GeoAI #OpenSource #podcast #remotesensing #earthobservation #spatialprofessionals #SMEs #socialmedia #GISgeeks #usecase #publicgood #spatialanalysis #spatiotemporal #model #modeling
    @SpatialSignals | @Youngstown State University | @AmericaView

  16. Spatial Signals [podcast]
    --
    americaview.podbean.com/ <-- shared podcast entry page
    --
    americaview.substack.com/ <-- shared Spatial Signals Substack page
    --
    [note that I am not associated with this podcast in any way, and this post should not be considered an endorsement]
    “Spatial Signals is a podcast about remote sensing, GIS, and geospatial technologies - but more importantly, it’s a podcast about the people who use and apply them. This podcast is sponsored by AmericaView, the national remote sensing network dedicated to empowering Earth Observation…”
    #SpatialSignals #AmericaView #Geospatial #RemoteSensing #GIS #spatial #mapping #GeoAI #OpenSource #podcast #remotesensing #earthobservation #spatialprofessionals #SMEs #socialmedia #GISgeeks #usecase #publicgood #spatialanalysis #spatiotemporal #model #modeling
    @SpatialSignals | @Youngstown State University | @AmericaView

  17. Spatial Signals [podcast]
    --
    americaview.podbean.com/ <-- shared podcast entry page
    --
    americaview.substack.com/ <-- shared Spatial Signals Substack page
    --
    [note that I am not associated with this podcast in any way, and this post should not be considered an endorsement]
    “Spatial Signals is a podcast about remote sensing, GIS, and geospatial technologies - but more importantly, it’s a podcast about the people who use and apply them. This podcast is sponsored by AmericaView, the national remote sensing network dedicated to empowering Earth Observation…”
    #SpatialSignals #AmericaView #Geospatial #RemoteSensing #GIS #spatial #mapping #GeoAI #OpenSource #podcast #remotesensing #earthobservation #spatialprofessionals #SMEs #socialmedia #GISgeeks #usecase #publicgood #spatialanalysis #spatiotemporal #model #modeling
    @SpatialSignals | @Youngstown State University | @AmericaView

  18. Spatial Signals [podcast]
    --
    americaview.podbean.com/ <-- shared podcast entry page
    --
    americaview.substack.com/ <-- shared Spatial Signals Substack page
    --
    [note that I am not associated with this podcast in any way, and this post should not be considered an endorsement]
    “Spatial Signals is a podcast about remote sensing, GIS, and geospatial technologies - but more importantly, it’s a podcast about the people who use and apply them. This podcast is sponsored by AmericaView, the national remote sensing network dedicated to empowering Earth Observation…”

    @SpatialSignals | @Youngstown State University | @AmericaView

  19. researchers in my feed, I failed to see how this research.google/blog/mapping-t is "a significant step toward foundational intelligence for "

    Rasterizing data (how did they handle support change?) and reducing dimensionality is nothing new (is innovation here that llm are good at "analyzing" some kind of "eigenvalues"?).

    Also is "embedding" overused?

    what I am missing?

  20. The Call for Abstracts for the Open-Earth-Monitor Global Workshop 2026 is closing soon ‼️Don’t miss your chance to be part of the final event of the project.

    Join us 7–9 October 2026 in Barcelona, Spain, to share your work on , , and across key themes:
    🌿 Forests & Biodiversity
    🌾 Soil, Water & Agriculture
    🌡 Climate & Health

    🔗 Submit your abstract: pretalx.earthmonitor.org/globa
    🌐 Learn more: earthmonitor.org/global-worksh

  21. New 📚 Release! GeoAI with Python: A Practical Guide to Open-Source Geospatial AI by Qiusheng Wu

    Find it on Leanpub!

    Link: leanpub.com/geoai

    #books #newrelease #python #geoai #ai #satellite #technology #opensource

  22. New 📚 Release! GeoAI with Python: A Practical Guide to Open-Source Geospatial AI by Qiusheng Wu

    Satellites capture massive volumes of imagery every day, but turning pixels into insight requires AI. This book teaches you to build, train, and apply deep learning models to real satellite imagery using Python and open-source tools, with 23 chapters of executable code you can run today.

    Find it on Leanpub!

    Link: leanpub.com/geoai

    #books #newrelease #python #geoai #ai #satellite #technolog

  23. GeoAI with Python: A Practical Guide to Open-Source Geospatial AI by Qiusheng Wu is the featured book on Leanpub!

    Satellites capture massive volumes of imagery every day, but turning pixels into insight requires AI. This book teaches you to build, train, and apply deep learning models to real satellite imagery using Python and open-source tools, with 23 chapters of executable code you can run today.

    Link: leanpub.com/geoai

    #Python #books #newrelease #geoai #technology #science

  24. What role does the human-in-the-loop play in AI-assisted mapping?

    In a recent experiment with YouthMappers in Ghana, we explored how editors interact with AI-generated roads in #OpenStreetMap. Do human edits refine the data or simply pass it through?

    Understanding these actions helps improve trust, validation, and quality. It also guides how the community works with growing AI-generated data. What is your take on AI-mapping?

    🔗 heigit.org/ai-assisted-mapping

    #AIMapping #GeoAI #VGI #GIS

  25. New research highlights how AI-driven models are reshaping spatial analysis and land-use planning—integrating large-scale data, predictive modeling, and decision support into geographic workflows.
    But the real shift is not just better analysis: planning itself becomes a data-driven, continuously updated process, where models increasingly co-produce spatial decisions.
    #AI #GeoAI #UrbanPlanning
    mdpi.com/2073-445X/15/3/460
    doi.org/10.3390/land15030460

  26. (Open) Webinar - Introduction to ML/DL Theory - Explore the foundational theory behind Machine Learning (ML) and Deep Learning (DL) in a geospatial context
    --
    events.teams.microsoft.com/eve <-- shared webina registration
    --
    H/T Eric Loubier | DG, Canada Centre for Mapping and Earth Observation
    “🌎 GeoAI Webinar Series
    March 5, 2026 (11:00 am–3:00 pm ET)
    Module #1: Introduction to ML/DL Theory
    • Explore the foundational theory behind Machine Learning (ML) and Deep Learning (DL) in a geospatial context…”
    #webinar #open #free #GeoAI #UNGGIM #ArtificialIntelligence #Geospatial #Webinar #Canada #Americas #eLearning #onlinelearning #AI #NorthAmerica #Algorithms #Architectures #ML #DL #GIS #spatial #mapping #machinelearning #deeplearning #usecase #workflow #spatialdata #remotesensing

  27. (Open) Webinar - Introduction to ML/DL Theory - Explore the foundational theory behind Machine Learning (ML) and Deep Learning (DL) in a geospatial context
    --
    events.teams.microsoft.com/eve <-- shared webina registration
    --
    H/T Eric Loubier | DG, Canada Centre for Mapping and Earth Observation
    “🌎 GeoAI Webinar Series
    March 5, 2026 (11:00 am–3:00 pm ET)
    Module #1: Introduction to ML/DL Theory
    • Explore the foundational theory behind Machine Learning (ML) and Deep Learning (DL) in a geospatial context…”
    #webinar #open #free #GeoAI #UNGGIM #ArtificialIntelligence #Geospatial #Webinar #Canada #Americas #eLearning #onlinelearning #AI #NorthAmerica #Algorithms #Architectures #ML #DL #GIS #spatial #mapping #machinelearning #deeplearning #usecase #workflow #spatialdata #remotesensing

  28. (Open) Webinar - Introduction to ML/DL Theory - Explore the foundational theory behind Machine Learning (ML) and Deep Learning (DL) in a geospatial context
    --
    events.teams.microsoft.com/eve <-- shared webina registration
    --
    H/T Eric Loubier | DG, Canada Centre for Mapping and Earth Observation
    “🌎 GeoAI Webinar Series
    March 5, 2026 (11:00 am–3:00 pm ET)
    Module #1: Introduction to ML/DL Theory
    • Explore the foundational theory behind Machine Learning (ML) and Deep Learning (DL) in a geospatial context…”
    #webinar #open #free #GeoAI #UNGGIM #ArtificialIntelligence #Geospatial #Webinar #Canada #Americas #eLearning #onlinelearning #AI #NorthAmerica #Algorithms #Architectures #ML #DL #GIS #spatial #mapping #machinelearning #deeplearning #usecase #workflow #spatialdata #remotesensing

  29. (Open) Webinar - Introduction to ML/DL Theory - Explore the foundational theory behind Machine Learning (ML) and Deep Learning (DL) in a geospatial context
    --
    events.teams.microsoft.com/eve <-- shared webina registration
    --
    H/T Eric Loubier | DG, Canada Centre for Mapping and Earth Observation
    “🌎 GeoAI Webinar Series
    March 5, 2026 (11:00 am–3:00 pm ET)
    Module #1: Introduction to ML/DL Theory
    • Explore the foundational theory behind Machine Learning (ML) and Deep Learning (DL) in a geospatial context…”
    #webinar #open #free #GeoAI #UNGGIM #ArtificialIntelligence #Geospatial #Webinar #Canada #Americas #eLearning #onlinelearning #AI #NorthAmerica #Algorithms #Architectures #ML #DL #GIS #spatial #mapping #machinelearning #deeplearning #usecase #workflow #spatialdata #remotesensing

  30. (Open) Webinar - Introduction to ML/DL Theory - Explore the foundational theory behind Machine Learning (ML) and Deep Learning (DL) in a geospatial context
    --
    events.teams.microsoft.com/eve <-- shared webina registration
    --
    H/T Eric Loubier | DG, Canada Centre for Mapping and Earth Observation
    “🌎 GeoAI Webinar Series
    March 5, 2026 (11:00 am–3:00 pm ET)
    Module #1: Introduction to ML/DL Theory
    • Explore the foundational theory behind Machine Learning (ML) and Deep Learning (DL) in a geospatial context…”

  31. 🕶️ The Dark Side of #GeoAI – Workshop @ GeoAI 2026 🌍

    Join us in mapping the risks, biases & dangers lurking in AI usage in the Geosciences — from hallucinations & bias to misinformation & ecological impacts — and developing countermeasures together.

    📍 In beautiful #Ghent, Belgium 🇧🇪
    📅 June 3, 2026 (afternoon)

    ✨ Open to ALL career stages & disciplines, not just geoscientists

    📝 Submit by March 13:
    A short statement of interest to [email protected]

    Details: uni-muenster.de/Geoinformatics

  32. Our online course on Spatial Data Science in Python has opened registrations once again. This time, we're teaching during May 2026.

    10 lessons during May, covering everything from introduction to spatial data to using Python open-source stack, part of which I've been actively developing for quite a while. Spatial graphs, autocorrelation, interpolation, point patterns, regression and spatial ML, all covered!

    See the details at martinfleischmann.net/sds/micr

  33. New video: review of the AI Segmentation by #TerraLab plugin that allows smooth image segmentation in QGIS based on Meta's Segment Anything Model. Watch it on: 📺YouTube: youtu.be/oKxh8ldYflM 📺QwastTube: videos.qwast-gis.com/w/d8RMLJzcm1... #QGIS #GeoAI #segmentation #SAM #OpenSource #GIS

    Review of the AI Segmentation ...

  34. Finally found some time to look into the QGISMCP plugin.

    The original connects :qgis: to through the Model Context Protocol . I rewired it to work with a local European alternative: the new ministral model by running in 🎄👩‍💻:cupofcoffee:

    github.com/anitagraser/qgis_mcp

  35. Proceedings of the 2025 JRG: Last week, the fourth Journée Romande de la Géoinformation (#JRG) took place in Ecublens with more than 800 participants. Now, all videos and presentations of the plenary sessions are available online. #GeoAI #DSS #DigitalTwin
    spatialists.ch/posts/2025/11/2 #GIS #GISchat #geospatial #SwissGIS