🧰 Practical GeoAI Tools

Have you tried TorchGeo? 🌍✨

It’s a PyTorch library built for remote sensing and geospatial data, basically torchvision for Earth observation. 🚀

With ready-to-use datasets, spatial transforms, and pre-trained models, TorchGeo makes it easy to train deep learning models on satellite imagery and geospatial layers.

🔗 Explore TorchGeo: https://github.com/torchgeo/torchgeo

#GeoTech #GIStools #RemoteSensing #SpatialAI #TorchGeo #GeospatialTech #MundusLife #EarthObservation

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: https://quarticle.ch/blog/beyond-basics-understanding-gis-data-processing-and-optimization

#GIS #GeospatialData #SpatialAnalysis #QGIS #GeoIntelligence #Insurtech #GeospatialTech #Quarticle

Hello from beautiful Mostar! We’re excited to kick off the day at @FOSS4G Europe 2025.

Visit the Quarticle booth to meet our team, and dive into discussions about scalable geospatial infrastructure and open-source innovation. We’re here to connect, share ideas, and draw inspiration from the global geospatial community.

P.S. Swing by for some Quarticle swag while you're at it!

#FOSS4G2025 #GeospatialTech #Geointelligence #OpenSourceGIS #GIS #SpatialData #LocationIntelligence #Quarticle

Next week, the Quarticle team is heading to Mostar for FOSS4G Europe 2025. If you're around, let’s chat!

#FOSS4G #FOSS4GEurope #OpenSourceGIS #GeospatialTech #QGIS #Quarticle

🌍 At Quarticle, we believe open-source geospatial tools are vital for building a transparent, collaborative, and high-performance tech ecosystem.

That’s why we’re proud to support the GeoServer GS3 crowdfunding campaign, which has just successfully completed Phase 1! 🚀

A big thank you to all contributors who share our vision for a more open future.

🔗 Learn more and join the effort: https://geoserver.org/sponsor/gs3-crowdfunding

#OpenSource #GeoServer #GeospatialTech #GIS #Quarticle #LocationIntelligence #GS3

🚀 In preparation for the Somali census, we just wrapped up an intense 8-day "Training the Trainers" workshop! 🌍 The goal? To supercharge the geospatial skills of the Somalia National Bureau of Statistics and #UNFPA Somalia teams. This workshop will play a key role in enhancing the accuracy and efficiency of the upcoming census—critical work for shaping Somalia’s future! 💡

#GeospatialTech #CensusPreparation #SNBS #UNFPA #CapacityBuilding #SomaliCensus #preEA

https://www.worldpop.org/blog/building-census-readiness-geospatial-training-boosts-capacity-for-somali-statisticians/

🌍 Hear from Our Graduates! 🎓

We’re proud to share feedback from our Master of Geospatial Technologies alumni! Here’s what he have to say about his experience: swipe to see.

🔹 Join our next cohort and start your journey! Applications open until May 31. Check the application link : https://mastergeotech.info/how-to-apply/on-line-application/
#GeospatialTech #AlumniSuccess #StudyInEurope #GIS #Master #RemoteSensing

🌾 Cutting-Edge Research in Land Cover Mapping! 🛰️

Thrilled to share a pivotal study by our Master of Geospatial Technologies alumni published in ISPRS Archives! Their work leverages Sentinel-2 time-series data to automate land cover and crop mapping in Portugal, achieving 76% accuracy with 31 distinct classes.

📄 Open-access paper: https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-83-2020

➡️ Master applications close May 31!
#GeospatialTech #RemoteSensing #PrecisionAgriculture #Sentinel2 #MachineLearning

🌐 Research Alert from Our Alumni! 📊

Excited to highlight a groundbreaking publication by Carles Milà (Master of Geospatial Technologies alum) in Methods in Ecology and Evolution! The paper introduces Nearest Neighbour Distance Matching Leave-One-Out Cross-Validation (NNDM LOO CV), a novel method for robust map validation in spatial prediction tasks.

📄 Open-access paper: https://doi.org/10.1111/2041-210X.13851
#GeospatialTech #SpatialAnalysis #MachineLearning #Ecology #RemoteSensing