#geoai — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #geoai, aggregated by home.social.
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Isnt it harder to find in-depth, information on geospatial tech, which is why I want to share a fantastic independent resource:
Run by a geospatial expert, its an blog currently focused heavily on RS and GIS, machine learning and modern spatial data workflows. It completely bridges the gap between Earth sciences and modern programming.
#GIS #RemoteSensing #GeoAI #EarthObservation #Python #QGIS #SpatialAnalysis #DataScience #LiDAR #OpenScience
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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 -
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