#geoai — Public Fediverse posts

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

🔗 Speaker profile: https://www.linkedin.com/in/teffen
🔗 RSVP & details: https://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

Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome
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https://openscholar.uga.edu/record/26998/files/Zhang_uga_0077E_16145.pdf <-- shared technical publication / dissertation
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https://www.aag.org/award-grant/william-l-garrison-award-for-best-dissertation-in-computational-geography/ <-- shared @AAG William L. Garrison Award for Best Dissertation in Computational Geography
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[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

What's new in #AI tools and models in #ArcGIS (Q2 2026) https://tinyurl.com/ymjc73pb

#GeoAI #spatial #analysis #embeddings #GIS #esri #mapping #GISchat #geospatial @esri @esrifederalgovt @esrislgov @arcgispro @arcgisonline @esritraining

Permafrost Distribution, Degradation, And Potential Mass Movement Cascades In The Western Himalaya Using Machine Learning And Numerical Models
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https://doi.org/10.1038/s44304-026-00217-4 <-- shared paper
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https://doi.org/10.1038/s41598-025-22051-w <-- shared (earlier) paper
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https://doi.org/10.1080/2150704X.2025.2488532 <-- shared (earlier) paper
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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

OpenGeoAI - Artificial Intelligence for Geospatial Data
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https://opengeoai.org/ <-- OpenGeoAI home page
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https://github.com/opengeos/geoai <-- shared #GitHub #repository
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“[A] powerful new capability is coming to the GeoAI Python package: finding similar features in remote sensing imagery with DINOv3.
This feature leverages the DINOv3 pre-trained model to find similar features in remote sensing imagery with a single click…”
#GIS #spatial #mapping #dinov3 #GeoAI #AI #python #library #github #remotesensing #processing #imagery #comparasion #machinelearning #LiDAR #pointcloud #vector #model #modeling #earthobservation #software #opensource #geoai

Canada’s National Elevation Data Strategy Update, November 2023
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https://gogeomatics.ca/canadas-national-elevation-data-strategy-update-november-2023/ <-- shared article
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https://open.canada.ca/data/en/dataset/957782bf-847c-4644-a757-e383c0057995 <-- HRDEM home page
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https://natural-resources.canada.ca/science-and-data/science-and-research/natural-hazards/flood-hazard-identification-and-mapping-program/24044 <-- FHIMP home page
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#GIS #spatial #identification #mapping #Canada #airborne #topobathy #CCMEO #CHN #FHIMP #floodhazard #GeoAI #HRDEM #LiDAR #PointCloud #elevation #data #NationalHydroNetwork #NHN #flood #hazard #risk #floodrisk #3d #3ddata #funding #program #appliedscience #flooding #water #hydrology #hydrospatial #opendata #NRCan #province #terrority #model #modeling
@NRCan