#geoai — Public Fediverse posts

I think #GeoAI will fade away, what remains will be Earth grounding for AI. Our craft we will be another "bitter lesson". geo is different but not separate... imo we scientist should be more effective on the ground than precise on paper https://www.linkedin.com/pulse/what-geoai-just-ai-bruno-sanchez-andrade-nu%C3%B1o-zwhme/?trackingId=6xWTEYv6ReWgu%2FauKX%2BxZw%3D%3D

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

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: https://doi.org/10.5281/zenodo.20273244.

What’s new for #GeoAI in the #ArcGISPro 3.7 #Image Analyst extension https://tinyurl.com/yc79twvh

#AI #imagery #DataMgmt #GIS #esri #arcgis #GISchat #geospatial @esri @arcgispro @esrifederalgovt @esrislgov @esritraining @urisa

National-Scale Field Delineation In Mozambique Refines Our Understanding Of Cropland Distribution, Field Size, And Deforestation Actors.
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https://doi.org/10.1088/1748-9326/ae5cb4 <-- shared paper
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https://philipperufin.github.io/blog/mozfields-2023/ <-- shared associated technical article from one of the paper’s authors
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#foodsecurity #subsistence #smallholder #farms #farming #agriculture #crops #Mozambique #subSaharan #Africa #GIS #spatial #mapping #remotesensing #earthobservation #policy #planning #cropland #spatialanalysis #spatiotemporal #field #deforestation #countrywide #landuse #sustainability #delineation #satellite #SPOT #model #modeling #deeplearning #AI #machinelearning #survey #GeoAI #spatialdata

National-Scale Field Delineation In Mozambique Refines Our Understanding Of Cropland Distribution, Field Size, And Deforestation Actors.
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https://doi.org/10.1088/1748-9326/ae5cb4 <-- shared paper
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https://philipperufin.github.io/blog/mozfields-2023/ <-- shared associated technical article from one of the paper’s authors
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#foodsecurity #subsistence #smallholder #farms #farming #agriculture #crops #Mozambique #subSaharan #Africa #GIS #spatial #mapping #remotesensing #earthobservation #policy #planning #cropland #spatialanalysis #spatiotemporal #field #deforestation #countrywide #landuse #sustainability #delineation #satellite #SPOT #model #modeling #deeplearning #AI #machinelearning #survey #GeoAI #spatialdata

National-Scale Field Delineation In Mozambique Refines Our Understanding Of Cropland Distribution, Field Size, And Deforestation Actors.
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https://doi.org/10.1088/1748-9326/ae5cb4 <-- shared paper
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https://philipperufin.github.io/blog/mozfields-2023/ <-- shared associated technical article from one of the paper’s authors
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#foodsecurity #subsistence #smallholder #farms #farming #agriculture #crops #Mozambique #subSaharan #Africa #GIS #spatial #mapping #remotesensing #earthobservation #policy #planning #cropland #spatialanalysis #spatiotemporal #field #deforestation #countrywide #landuse #sustainability #delineation #satellite #SPOT #model #modeling #deeplearning #AI #machinelearning #survey #GeoAI #spatialdata

National-Scale Field Delineation In Mozambique Refines Our Understanding Of Cropland Distribution, Field Size, And Deforestation Actors.
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https://doi.org/10.1088/1748-9326/ae5cb4 <-- shared paper
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https://philipperufin.github.io/blog/mozfields-2023/ <-- shared associated technical article from one of the paper’s authors
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#foodsecurity #subsistence #smallholder #farms #farming #agriculture #crops #Mozambique #subSaharan #Africa #GIS #spatial #mapping #remotesensing #earthobservation #policy #planning #cropland #spatialanalysis #spatiotemporal #field #deforestation #countrywide #landuse #sustainability #delineation #satellite #SPOT #model #modeling #deeplearning #AI #machinelearning #survey #GeoAI #spatialdata

National-Scale Field Delineation In Mozambique Refines Our Understanding Of Cropland Distribution, Field Size, And Deforestation Actors.
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https://doi.org/10.1088/1748-9326/ae5cb4 <-- shared paper
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https://philipperufin.github.io/blog/mozfields-2023/ <-- shared associated technical article from one of the paper’s authors
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#foodsecurity #subsistence #smallholder #farms #farming #agriculture #crops #Mozambique #subSaharan #Africa #GIS #spatial #mapping #remotesensing #earthobservation #policy #planning #cropland #spatialanalysis #spatiotemporal #field #deforestation #countrywide #landuse #sustainability #delineation #satellite #SPOT #model #modeling #deeplearning #AI #machinelearning #survey #GeoAI #spatialdata

Artificial Intelligence in Earth Science - A GeoAI Perspective
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https://doi.org/10.1029/2025JH000691 <-- shared paper
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#GIS #spatial #mapping #GeoAI #earthscience #geology #engineeringgeology #AI #artificialintelligence #risk #hazard #decisionmaking #disasterresponse #hurricane #publichealth #disaster #response #spatialanalysis #model #modeling #bigdata #analysis #productionpipeline #temporal #multidimensional #realtime #forecasting #visualisation #challenges #environmental #remotesensing #earthobservation #usecase #crossdomain #semantic #reasoning #informatics #research #multimodal #generativeAI #earthsystems #reliable #trustworthy

Artificial Intelligence in Earth Science - A GeoAI Perspective
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https://doi.org/10.1029/2025JH000691 <-- shared paper
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#GIS #spatial #mapping #GeoAI #earthscience #geology #engineeringgeology #AI #artificialintelligence #risk #hazard #decisionmaking #disasterresponse #hurricane #publichealth #disaster #response #spatialanalysis #model #modeling #bigdata #analysis #productionpipeline #temporal #multidimensional #realtime #forecasting #visualisation #challenges #environmental #remotesensing #earthobservation #usecase #crossdomain #semantic #reasoning #informatics #research #multimodal #generativeAI #earthsystems #reliable #trustworthy

Artificial Intelligence in Earth Science - A GeoAI Perspective
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https://doi.org/10.1029/2025JH000691 <-- shared paper
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#GIS #spatial #mapping #GeoAI #earthscience #geology #engineeringgeology #AI #artificialintelligence #risk #hazard #decisionmaking #disasterresponse #hurricane #publichealth #disaster #response #spatialanalysis #model #modeling #bigdata #analysis #productionpipeline #temporal #multidimensional #realtime #forecasting #visualisation #challenges #environmental #remotesensing #earthobservation #usecase #crossdomain #semantic #reasoning #informatics #research #multimodal #generativeAI #earthsystems #reliable #trustworthy

Artificial Intelligence in Earth Science - A GeoAI Perspective
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https://doi.org/10.1029/2025JH000691 <-- shared paper
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#GIS #spatial #mapping #GeoAI #earthscience #geology #engineeringgeology #AI #artificialintelligence #risk #hazard #decisionmaking #disasterresponse #hurricane #publichealth #disaster #response #spatialanalysis #model #modeling #bigdata #analysis #productionpipeline #temporal #multidimensional #realtime #forecasting #visualisation #challenges #environmental #remotesensing #earthobservation #usecase #crossdomain #semantic #reasoning #informatics #research #multimodal #generativeAI #earthsystems #reliable #trustworthy

Artificial Intelligence in Earth Science - A GeoAI Perspective
--
https://doi.org/10.1029/2025JH000691 <-- shared paper
--
#GIS #spatial #mapping #GeoAI #earthscience #geology #engineeringgeology #AI #artificialintelligence #risk #hazard #decisionmaking #disasterresponse #hurricane #publichealth #disaster #response #spatialanalysis #model #modeling #bigdata #analysis #productionpipeline #temporal #multidimensional #realtime #forecasting #visualisation #challenges #environmental #remotesensing #earthobservation #usecase #crossdomain #semantic #reasoning #informatics #research #multimodal #generativeAI #earthsystems #reliable #trustworthy

The quest for a fair TimeGPT benchmark

At the end of yesterday's #TimeGPT for mobility post, we concluded that TimeGPT's trainingset probably included a copy of the popular BikeNYC timeseries dataset and that, therefore, we were not looking at a fair comparison ...

http://anitagraser.com/2025/03/29/the-quest-for-a-fair-timegpt-benchmark/

#GeoAI #MobilityDataScience #FoundationModels #GISChat

#TimeGPT for #mobility: Can foundation models outperform classic machine learning models for flow predictions?

tldr; Maybe. Preliminary results certainly are impressive.

http://anitagraser.com/2025/03/28/can-foundation-models-outperform-classic-machine-learning-models-for-mobility-predictions/

#MobilityDataScience #gischat #urbanmobility #geoai #foundationmodels