Geospatial Information Systems (GIS) have transformed the way we capture, store, and analyse spatial data by integrating methods from computer science, statistics and geography. Central to GIS is the ...

Geospatial data infrastructure (GDI) and workflow management are pivotal components in modern spatial analysis, underpinning efforts to collect, mobilise, process and disseminate geospatial ...

Location data is critical to nearly all state and local government work — whether it’s responding to a public safety call, supporting community planning and development, or maintaining critical ...

Combination of Cesium plus iTwin offers developers the most comprehensive digital platform for the built and natural environment Example of a design review process leveraging the Cesium integration ...

This press release outlines recent progress and key developments within the geospatial technology field. It highlights strategic initiatives undertaken by leading organizations to advance the ...

Open the Planetary Computer data catalog and you will find all kinds of useful data: from decades’ worth of satellite imagery to biomass maps, from the US Census to fire data. All together, there are ...

Artificial intelligence (AI) is no longer confined to our personal devices, homes or entertainment systems. It's increasingly stepping into our workplaces, vehicles, industrial sites and public ...

"Today, the data explaining our physical world is locked behind complex geospatial tools that only specialists can use. Think where we build, where we can restore nature, where climate risks will hit ...

The ability of airports to leverage spatial data for the benefit of planning, design, delivery, maintenance, and operations has never been more important than it is today. With today’s approach of ...

Your browser does not support the audio element. Every six minutes, somewhere in the United States, an underground utility line is damaged by careless excavation ...

“Data governance policy is a collection of principles, frameworks, programs, roles, and responsibilities that help manage data collection, storage, access, usage, quality, and archival of data assets ...