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Spatial Source
spatialsource. com. au > the-ground-truth-gap-why-pixels-need-people

The "ground truth" gap: Why pixels need people

1+ hour, 58+ min ago  (925+ words) I'd like to paint a picture " likely a familiar one " for anyone working in spatial data. A geospatial analyst monitors a compliance dashboard when a cluster of pixels over a remote province shifts from deep green to red. A machine…...

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Spatial Source
spatialsource. com. au > datamapwales-brings-together-3000-datasets

Data Map Wales brings together 3, 000 datasets

6+ day, 2+ hour ago  (249+ words) Data Map Wales is a Welsh Government portal that brings together 3, 000 datasets, 600 of which are publicly available. The data ranges from building information to speed limits to the location of public toilets, and lots more. One of its prime functions…...

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Spatial Source
spatialsource. com. au > all-in-one-gis-mapping-software

All-in-one GIS mapping software

1+ mon, 6+ day ago  (171+ words) Spatial Source All-in-one GIS mapping software Geospatial software developer Blue Marble Geographics has released the latest version of its flagship product, Global Mapper. Global Mapper 27 integrates Geo Calc, an industry-standard geodetic library, directly into the platform, alongside enhancements to data…...

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Spatial Source
spatialsource. com. au > interview-part-1-pascal-perez-director-aurin

Interview, Part 1: Pascal Perez, Director, AURIN

1+ mon, 2+ week ago  (800+ words) Funded by the federal Department of Education as a national research infrastructure facility, AURIN is based at the University of Melbourne, its lead agency, with nodes at other universities around the nation. As a research support facility, it doesn't directly…...

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Spatial Source
spatialsource. com. au > event > machine-learning-for-earth-system-observation-and-prediction

Machine Learning for Earth System Observation and Prediction (2026-04-13)

2+ mon, 1+ week ago  (190+ words) This ECMWF-ESA Machine Learning Workshop aims to explore the fusion of traditional Earth System Observation and Prediction (ESOP) techniques with machine learning (ML) and deep learning (DL) methods. It seeks to showcase the impact achieved through this fusion, while also addressing the…...

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