#geospatialdata

2026-01-07

Hello #Fediverse! Time for a proper #Introduction.

I’m a hobbyist developer and engineer (outside the tech industry) who loves building tools for education and personal use. I’m currently focused on:

🐍 #Python & #Django – Working through a 30-day library challenge right now!

💻 #Linux – Running #Fedora on my System76 laptop.

🏠 #HomeLab – Managing an #OpenMediaVault setup on a Ugreen DXP2800, plus lots of #Docker and #Portainer tinkering.

🗺️ #Geospatial – Exploring data science projects.

Current Projects:

DITS: A custom issue tracker application.

Devnexus: A lite weight TUI issue and pull request application

mgl_website: My MickGeekLabs.org website and blog

Byte_Board_Blog: My personal blog project.

Pushing code to my local #Gitea (MickGeekLabs) and GitHub.

When I’m not debugging, I’m likely hanging out with my 16-year-old ginger tabby cat. 🐈

Looking forward to connecting with the #SelfHosted, #Python, and #Dev community here!

#Introduction #NewHere #Tech #HomeServer #FedoraLinux #DjangoDev #GeospatialData

A busy home lab and developer workspace featuring a wooden desk with a laptop on a stand, two monitors, and a mechanical keyboard. To the right, a black wire shelving unit is stacked with networking hardware, including a network switch and a compact two-bay NAS. The setup is filled with visible cabling, a printer, and several tech equipment boxes on the floor, including a DeskPi RackMate box, reflecting a functional and active technical environment.
2026-01-05

Wow. New #buildings height dataset based on Planetscope data #geospatialdata #opendata
"We introduce GlobalBuildingAtlas, a publicly available dataset providing global and complete coverage of building polygons, heights and Level of Detail 1 (LoD1) 3D building models. This is the first open dataset to offer high quality, consistent, and complete building data in 2D and 3D form at the individual building level on a global scale." mediatum.ub.tum.de/1782307

BUT Look in comments for caveats

Coloured maps showing building volume for various world cities
2025-12-15

LAC Hub - HOT had a good year, including our collaboration in Oaxaca and Toluca, Mexico

mstdn @mapeoabierto_la
bsky @hotosm.org
xitter @MapHubLAC @CodeandoMexico

#informaltransport #populartransport #Americas #NorthAmerica #Mexico #Oaxaca #Toluca #SalinaCruz #mapping #GIS #GeospatialData #OpenStreetMap #HOTOSM #publictransit #TrufiAssociation

A screenshot of a tweet by LAC Hub - HOT highlighting their 2023 achievements. The tweet describes a collaboration with Trufi Association and Codeando Mexico to advance transport mapping in Oaxaca and Toluca, Mexico. It also mentions the MapEdu project, which mobilized 38 school projects across Latin America and the Caribbean to map air quality, social needs, and risk zones. The tweet includes images of mapping activities, community engagement, and educational projects.
2025-12-09

Urban - or rural? The answer matters more than you may think. 🏙️🌾
Countries are learning to map it better than ever.
🚀📊 Our DEGURBA training is building skills that power smarter policies - now and for the future.

Read more: worldpop.org/blog/skills-for-s

#LMICs #DEGURBA #CapacityBuilding #GeospatialData #Urbanisation #DataForDevelopment #SDGs #NationalStatistics #Cameroon #Zambia

2025-12-03

🌍 Malawi’s first automated census-mapping workshop is complete!

🛠️ Geospatial tools are transforming how the 2028 census is planned.

🔗 Read more: worldpop.org/blog/first-automa

#Malawi #DataForDevelopment #Census2028 #GeospatialData

2025-12-02

Data powers resilience. 🌍

WorldPop joined CARICOM’s 50th stats meeting in Curaçao to advance people-centred, climate-ready data.

Read more: worldpop.org/blog/worldpop-str

#DataForDevelopment #ClimateResilience #GeospatialData

2025-11-25

A billion people are missing from the world’s maps. YouthMappers has spent 10 years working on that billion-person problem. 26 million OpenStreetMap edits!

HT Lemmy @otter
via xitter @ASU

news.asu.edu/20251117-environm

#mapping #GIS #GeospatialData #OpenStreetMap #TrufiAssociation

2025-11-06
💧🌏 Greg CocksGregCocks@techhub.social
2025-10-27

Improving our Coasts with High-Resolution Land Cover Data [#NOAA]
--
coast.noaa.gov/states/stories/ <-- shared technical article
--
coast.noaa.gov/ccapatlas/ <-- on-demand, online NOAA CCAP Landcover Atlas
--
coast.noaa.gov/digitalcoast/da <-- #opendata C-CAP High-Resolution Land Cover
--
Use Case Examples:
• Flood Inundation Modeling and Risk Assessment
• Stormwater Management and Water Quality Protection
• Heat Risk and Urban Forestry
• Wetland Monitoring, Conservation, or Restoration Planning
• Other – e.g., Discovering Gaps in Broadband Access
--
#GIS #spatial #mapping #NOAA #DigitalCoast #LandCover #CoastalManagement #GeospatialData #EnvironmentalData #ResilientCommunities #landcover #usecase #economics #remotesensing #earthobservation #opendata #floodinnundation #waterquality #water #hydrology #risk #hazard #spatialanalysis #spatiotemporal #stormwater #management #heatrisk #urbanforestry #wetland #monitoring #conservation #planning #resortation
@noaa #NOAAOfficeForCoastalManagement

2025-10-22

A project to map the world's overland routes one can travel without flying.

It shouldn't be this hard to stay off of a plane.

By Reddit u/jolearth

jol.earth/

#mapping #GIS #GeospatialData #OpenStreetMap #SharedMobility #SustainableMobility #TransportationInnovation #SmartMobility #sustainabletransport #TrufiAssociation

World map showing global overland and ferry routes that can be traveled without flying. Colored lines connect cities and capitals across continents: yellow for bus routes, green for train routes, orange for taxi routes, and blue for ferry routes. The network is densest in Europe and Asia, with sparser connections in Africa, the Americas, and Oceania. The map is credited to jol.earth
2025-10-14

Comprehensive collection of Canadian #building footprints, organized by province open.canada.ca/data/en/dataset #geospatialdata

QuarticleQuarticle
2025-10-10

Better data means better decisions.

The Quarticle Data Hub provides insurers with a single, trusted source of geospatial information to power smarter underwriting and sharper risk insights.

Discover the data behind better risk intelligence 👉 quarticle.ch/data

Zoomers of the Sunshine Coast 🇨🇦SCZoomers@mstdn.ca
2025-10-09

Already deployed:

🌳 Global Ecosystems Atlas: classifying previously unmapped ecosystems like coastal shrublands, hyperarid deserts

🌲 MapBiomas: monitoring Amazon deforestation with unprecedented detail

All using freely available embeddings on Google Earth Engine.

#GeospatialData #ClimateAction

QuarticleQuarticle
2025-10-01

The insurance landscape is increasingly complex, from climate events to geopolitical instability and evolving portfolios, making objective, data-driven decision-making essential.

In this blog post, we explore why precision and objectivity are critical to staying competitive and resilient.

Learn more:
quarticle.ch/blog/the-cost-of-

QuarticleQuarticle
2025-09-15

What if 120,000+ hours of insurance risk expertise were already built into your workflows?

That’s the edge Quarticle delivers. With decades of focused experience, we help insurers:
✅ Assess risk with greater precision
✅ Reduce claims cycle times
✅ Streamline compliance and reporting
✅ Optimize capital allocation

www.quarticle.ch

QuarticleQuarticle
2025-09-10

How do you go from terrain elevation data to risk clarity?

With the Elevation Tool in Graph by Quarticle, you can quickly assess terrain profiles to strengthen flood modeling, infrastructure planning, and exposure management.

See how it works youtube.com/watch?v=BvUdSA1UpMg

QuarticleQuarticle
2025-09-08

With over 120,000 hours of insurance-focused development, Quarticle delivers a platform that transforms how insurers assess, manage, and report risk.

More than just a tool, Quarticle is a geospatial intelligence hub designed to give insurers clarity, speed, and compliance at scale.

Explore how: quarticle.ch/solutions/ai-geoi

QuarticleQuarticle
2025-09-01

We’re excited to partner with MBI to redefine geospatial risk intelligence in insurance.

By combining MBI’s trusted data with Quarticle’s cloud-native geo-intelligence, insurers gain sharper insights for smarter underwriting, portfolio management & compliance.

🔗 mbi-geodata.com/en/2025/08/27/

QuarticleQuarticle
2025-08-28

Happy 7th Birthday to Quarticle! 🎂

A huge thank you to our brilliant team, amazing clients, and trusted partners who make this journey possible.

Here’s to the next chapter of innovation, impact, and collaboration!

QuarticleQuarticle
2025-08-25

You probably know the basics of raster vs. vector data but what comes next?

Our blog post looks at what happens after classification: how to process, optimize, and manage GIS data so it performs at scale. From speeding up workflows to supporting more reliable analysis, these steps are key for anyone working with large or complex datasets.

Read the full article here: quarticle.ch/blog/beyond-basic

Client Info

Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst