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

We're proud to share excellent work by our Geospatial Technologies alumnus Effychia Koukouraki : a pioneering study in Remote Sensing on Few-Shot Learning for Post-Earthquake Damage Detection!
Using AI to classify urban damage with minimal data, this work highlights how geospatial tech can revolutionize disaster response.

Read the open-access paper: https://doi.org/10.3390/rs14010040
#GeospatialTech #AI #DisasterResponse #ResearchExcellence