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#geoai — Public Fediverse posts

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

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  1. The Congo Basin is under cloud so often that optical EO barely works there, and I keep landing on SAR. For persistently cloudy regions, what's your actual workflow — radar, fusion, patience?
    #RemoteSensing #SAR #EarthObservation #GeoAI

  2. 📅 12th August
    🕕 6:00 PM onwards
    📍 Birkbeck, London

    🔗 Speaker profile: linkedin.com/in/teffen
    🔗 RSVP & details: lgm.jsonsingh.com

    Join us for an evening of geospatial talks, practical ideas, and community discussion. Please spread the word! 🌍

    #LondonGeoMeetup #LGM5 #Geospatial #GIS #GeoAI #Geocoding #MachineLearning #WebDevelopment #OpenSource #LondonTech #Mapping

  3. The Importance Of Trusted [spatial] Data In The Real World - And How Geovation Is Evolving
    --
    ordnancesurvey.co.uk/blog/how- <-- shared technical/overview article
    --
    geovation.uk/ <-- shared Geovation home page
    --
    H/T @gareth Sumner | Head of Geovation, Leading innovation, connecting innovators with real world problems and championing design thinking
    “… How can technology 👨‍💻 create meaningful impact in the real world? 🌍
    Today that question feels more relevant than ever.
    While much of the conversation around AI focuses on digital tools and experiences, what I really care about is its potential to improve outcomes in the physical world.
    That's where trusted, foundational data becomes critical – and it has become our north star as Geovation continues to evolve…”
    --
    “Geovation is Ordnance Survey (OS)'s innovation programme, pioneered more than 15 years ago to foster a geospatial ecosystem for startups to solve real world challenges. Now its head, Gareth Sumner, considers the importance of trusted data and AI in today's world and how Geovation is evolving into a national data innovation and impact lab: a place where government data, entrepreneurial talent and real-world challenges come together…”
    #Geovation #AI #machinelearning #innovation #usecase #appliedscience #AI #GeoAI #geospatialecosystem #startups #industrysupport #data #realworld #UK #LocationTech #SpatialInnovation #MappingTheFuture #TechStartups #InnovationHub #Entrepreneurship #FoundersUK #GIS #spatial #mapping #BritainMapped #MadeInUK
    @OrdnanceSurvey | @Geovation

  4. Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome
    --
    openscholar.uga.edu/record/269 <-- shared technical publication / dissertation
    --
    aag.org/award-grant/william-l- <-- shared @AAG William L. Garrison Award for Best Dissertation in Computational Geography
    --
    [again, way outside any expertise I might have, but fascinating spatial analysis use case…]
    H/T @Jielu Zhang | Postdoctoral Researcher @ Harvard University
    “[The authors] Ph.D. dissertation "Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome" [1st link above] has received the 2026 biennial William L. Garrison Award for Best Dissertation in Computational Geography from the American Association of Geographers… [2nd link above.]
    In [their] research, [they] develop[ed] Explainable GeoAI and Causal GeoAI methods that combine geographic data and artificial intelligence to expose and ameliorate health disparities by delivering models that not only predict risks but also illuminate how and where to intervene. While [their] dissertation focused on cardiovascular disease, these approaches are broadly applicable to public health, medicine, urban planning, environmental exposure, and resilience research…”
    #explainable #causal #AI #model #modeling #PublicHealth #GIS #spatial #mapping #spatialanalysis #spatiotemporal #AAG2026 #AAG #Award #geostatistics #Georgia #health #risk #hazard #cardiacarrest #cardiovacscular #usecase #metrics #midocine #urbanplanning #resilience #survival #OutofHospital #PhD #Dissertation #CardiacArrest #AutomatedExternalDefibrillator #SpatialOptimization #GeographicallyExplainableArtificialIntelligence #GeoAI #GeoXAI #SpatiallyAwareCausalInference #OverlayedSpatioTemporalOptimization #healthcare #medical #intervention #GIS #spatial #mappingt #spatialanalysis #spatiotemporal #heart #heartattack #AED #survival #survivaloutcomes #machinelearning #AI #publichealth #healthgeographers #counterfactual #explainable #deeplearning #model #modeling

  5. From orbit, the Earth stops being a map and becomes a living thing. 🌍 Clouds move like breath, cities glow like stories, rivers write their names into the land. This is what a geographer sees from above — not borders, but patterns. Satellites gather the signals; remote sensing turns light into meaning; GeoAI learns the planet’s rhythm. 🛰️

    #RemoteSensing #GeoAI #Geography #Satellites #EarthObservation

  6. Hello Mastodon, an #introduction.
    I'm a geospatial scientist with a PhD in Earth System and Geoinformation Science. I work in remote sensing and #GeoAI, mostly on drought, vegetation, and land — in Africa and the US Great Plains.
    I'll mostly post maps, model results, and #GoogleEarthEngine and Python tutorials (#geopandas, #rasterio). I'm also building a national GIS data portal for #Cameroon.
    #RemoteSensing #GIS #EarthObservation #Python

  7. Permafrost Distribution, Degradation, And Potential Mass Movement Cascades In The Western Himalaya Using Machine Learning And Numerical Models
    --
    doi.org/10.1038/s44304-026-002 <-- shared paper
    --
    doi.org/10.1038/s41598-025-220 <-- shared (earlier) paper
    --
    doi.org/10.1080/2150704X.2025. <-- shared (earlier) paper
    --
    H/T @abhinav Alangadan
    “Can we develop a first-order understanding of permafrost degradation and glacial lakes exposed to degradation-induced mass movements in the Himalaya?
    [The authors] tried to address this question. The study [first link above] integrates machine learning, statistical modeling, and numerical modeling to investigate high-resolution permafrost distribution, potential degradation, and associated mass-movement hazards in the Kinnaur district of Himachal Pradesh, India.
    Using rock glaciers as proxies, [they] generated a high-resolution permafrost distribution using machine learning, while potential degradation zones were delineated using the 0°C isotherm as a first-order indicator. [They] further identified glacial lakes located near potentially degrading permafrost zones and reconstructed their bathymetry. A detailed scenario-based GLOF process-chain simulation was then carried out for Kashang Lake using r.avaflow and HEC-RAS.
    [Their] results indicate that seven glacial lakes in #Kinnaur are located close to potentially degrading permafrost zones. The simulations further show that a potential GLOF from Kashang Lake could inundate critical downstream infrastructure, including nearly 11 km of National Highway 5…”
    #permafrost #distribution #GIS #spatial #mapping #Himalayas #India #Kinnaur #HimachalPradesh #KashangLake #massmovement #engineeringgeology #machinelearning #AI #model #modeling #numericalmodel #glaciallakes #glaciet #glacial #glaciallakeoutburstflood #GLOF #cryosphere #geostatistics #rockglaciers #GeoAI #bathymetry #processchainsimulation #HECRAS #avaflow #risk #hazard #mitigation #riskassessment #infrastructure #HEP #publicsafety #downstream #avalanche

  8. Last week, the 1st #GeoAI conference took place at #UGent! I had the opportunity to attend interesting talks, engage in discussions about the future of the domain, host a workshop about the #DarkSideOfGeoAI, and, last but not least, present our work on #VISQAM, funded by #NFDI4Earth and made 100% in-house at IFGI, Uni Münster.

    Check out our proceedings paper about VISQAM, an open dataset that comprises 1200 thematic geographic maps annotated with 4500+ QA pairs: doi.org/10.5281/zenodo.20273244.

  9. 📍 I’ll be at GeoAI 2026 in Ghent (3–6 June)

    Looking forward to meeting people working on geospatial analysis and Earth observation -- happy to connect and chat in person.

    geoaiconference.org/

  10. We're testing AI-derived geospatial datasets and #GeoAI frameworks for improving urban population mapping in low- and middle-income countries.

    By combining survey data, satellite imagery, Open Buildings and anonymised mobility metrics, the project aims to support more equitable vaccine delivery, disaster response and urban planning.

    Learn more: worldpop.org/blog/ai-driven-ma

    #AI #GeoAI #PopulationData #PublicHealth #UrbanPlanning #GlobalHealth #GIS #DataScience #HumanitarianTech #DataForGood

  11. I got a request for adding a @leaflet plugin to the list, and rejected it on the basis that LLMs ""hallucinate"" data so fucking hard. Users of "GeoAI" should be ashamed of this kind of shit.
    #gischat #LLM #GeoAI

  12. A new World Bank paper shows how graph neural networks and open data from WorldPop can turn national statistics into fine-scale economic maps.

    The research combines our open population data, satellite imagery, OpenStreetMap, and AI to improve local insight for development planning, disaster response, and climate adaptation.

    Learn more: worldpop.org/blog/mapping-the-

    #OpenData #AI #GIS #WorldBank #GeoAI

  13. 🚨 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.

  14. 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

  15. 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 👩‍💻

  16. 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...

  17. 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