Eugene6d ago

One more quick byproduct of my MDEM development: a bivariate map integrating volumetric structural data (SAR) with surface temperature (LST). This approach identifies the exceptionally intensive dissipative role of volumetric vegetation structure (trees and tall shrubs). By accounting for these high-performance cooling elements, we can better understand how they supplement traditional landscaping to enhance the city's overall thermal resilience.

#UrbanHeatIsland #EnvironmentalScience #DataScience #Calgary #YYC #Sustainability #RemoteSensing #GIS #MDEM #GreennessOfCalgary #CalgaryMDEM #RStats #UrbanPlanning #EarthObservation #OpenScience #SpatialDataScience #SpatialData

A Guy Named Brian (he/him)Mar 12

RE: https://mastodon.social/@geonews/116216592038864312

My instinct is that this true of any sort of AI system and the people who use it:

“Geospatial intelligence is not simply about processing data; it’s about understanding the place, the relationships, patterns, and contextual nuances that supply data meaning. AI can accelerate analysis, but it cannot replace the interpretive skill, legacy knowledge, and discernment of geospatial professionals.”

#GIS #GeospatialIntelligence #DataAnalysis #SpatialData #GeospatialProfessionals #AI

Polly KraisusMar 11
I love the regular #OSM website updates posted on the forum, great to peruse the incremental changes that keep making the public face of #OpenStreetMap better, and to see recognition of all contributors. ❤️
https://community.openstreetmap.org/t/what-s-new-on-the-openstreetmap-website/130080/23
#GIS #OpenData #spatialData #maps #FOSS
What’s new on the OpenStreetMap website?

More MapLibre, smoother experience, a bunch of fixes It’s that time again, when we highlight the work made by contributors to the OSM Website. Here they are! Towards MapLibre We continue a careful transition to use MapLibre in all instances of the slippy map. Still some way to go; here is how it went this month: We fixed some issues with the map controls, including visual styling fixes and making sure they are visible on the map for user diary entries. (@CommanderStorm, @pablobm) In the layer...

OpenStreetMap Community Forum
💧🌏 Greg CocksFeb 27
(Open) Webinar - Introduction to ML/DL Theory - Explore the foundational theory behind Machine Learning (ML) and Deep Learning (DL) in a geospatial context
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https://events.teams.microsoft.com/event/f6f7b736-1fa2-4934-aee9-895685232fb4@05c95b33-90ca-49d5-b644-288b930b912b <-- 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
Physalia-coursesFeb 25

🚀 Want to use R as your GIS tool for spatial data analysis?
There’s still time to join our course with
@ambarbosa —starting next week!
🌍 Learn how to work with spatial data, create maps & use GIS in R from scratch
https://www.physalia-courses.org/courses-workshops/gis-in-r/

#SpatialData #RStats #GIs #Mapping

Leibniz-IÖR DresdenFeb 25

🚨 Dont forget to contribute to our #IOERconf! There are many ways to get involved.

What about a 📢 Digital Tool Slam? Participants have five minutes to present their app, model, simulation environment, or data visualisation in an engaging way. The audience votes to award the most innovative tool - very similar to a science slam, but specifically focused on digital tools. More information 👉 https://conference.ioer.info/en/

@ZALF_leibniz @NFDI @BERD_NFDI @nfdi4earth @IRSErkner

#Polycrisis #SpatialData

💧🌏 Greg CocksFeb 24
Unveiling The Environmental Impact Of Earthquakes In Europe
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📄 https://doi.org/10.1038/s41467-025-68120-6 <-- shared paper
--
🗺️ https://embodiedcarbon.builtenvdata.eu/ <-- shared interactive platform
--
📦 https://github.com/gem/global_embodied_carbon_model <-- shared github ‘code base’
--
🌍 https://www.globalquakemodel.org/gemevents/gem2026-conference-from-faults-to-future-scenarios <-- shared details of 2026 GEM Conference: From Faults To Future Scenarios, June 2026, Croatia
--
#EmbodiedCarbon #service #GlobalEarthquakeModel #earthquake #damage #europe #carbon #GEM #data #maps #opendata #openspatial #GIS #spatial #mapping #seimsic #damage #buildings #urban #residential #commercial #industrial #replacement #infrastructure #typologies #naturalhazard #fault #faulting #geology #global #carbonbudget #climate #climatechange #carboncost #CO2 #carbondioxide #openscience #database #spatialdata #carbonfootprint #seismicrisk #planning #risk #hazard #factors #riskassessment #𝘀𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆 #engineering #design
@gem
💧🌏 Greg CocksFeb 23
Women Have Been Mapping The World For Centuries – And Now They’re Speaking Up For The People Left Out Of Those Maps
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https://theconversation.com/women-have-been-mapping-the-world-for-centuries-and-now-theyre-speaking-up-for-the-people-left-out-of-those-maps-272757 <-- shared technical article
--
e.g., https://www.xyht.com/gnsslocation-tech/dr-gladys-west/ <-- shared @xyHt 2019 article on Ms. #GladysWest’s background, career and marked contributions
--
#GIS #spatial #mapping #spatialdata #contributions #cartography #mapmaking #history #woman #education #employment #recognition
@WomenInGeospatial #WomenInGeoscience
Jakub NowosadFeb 22

Geospatial conferences in 2026
A curated and growing list of events in GIS and spatial data science

🔗 https://github.com/Nowosad/conferences_2026

Which ones are you planning to attend?

#Geospatial #GIS #SpatialData #Conferences

💧🌏 Greg CocksFeb 14
Adaptive Thresholding (AT) For Snowmelt Detection With Calibrated Enhanced-Resolution Brightness Temperatures (CETB) - Timing And Regional Patterns For Case Study Of Alaska
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https://doi.org/10.1016/j.srs.2026.100390 <-- shared paper
--
“HIGHLIGHTS:
• Data-driven Adaptive Thresholding (AT) for snowmelt detection using PMW CETB data.
• AT improves melt detection accuracy to ≤ 1.0 day MAE over legacy methods in Alaska.
• AT captures spatial and regional melt variability linked to snow class and terrain.
• AT is sensor-agnostic, scalable across frequencies and polarizations for broad use..."
#snowmelt #winter #snow #spatialanalysis #GIS #spatial #mapping #spatiotemporal #water #waterresources #hydrology #spatialdata #AdaptiveThresholding #Passivemicrowave #remotesensing #EnhancedResolutionData #Snowmeltdetection #DiurnalAmplitudeVariation #US #USA #Alaska #geostatistics #melt #melting #monitoring #regional