A United Nations University study dives into the ways in which geospatial data and processes can be coupled with AI for ...

Discrete Global Grid Systems (DGGS) have emerged as a robust framework for organising and analysing geospatial data across the entire Earth. By partitioning the globe into a hierarchy of optimally ...

Built on 15 years of geospatial infrastructure expertise, the tool streamlines spatial data discovery and integration ...

Summary: Google’s Research division has introduced new geospatial AI foundation models. With these models integrated into Gemini 2.5, you can ask complex questions in natural language and get detailed ...

The GIS-based mapping platform has taken 60 years of braided river bird data and transformed it into an environmental decision-making tool.

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 ...

Geospatial engineering combines principles of engineering, geography, and surveying to collect, analyze, and manage spatial data. Geospatial engineering involves surveying. Over time, the field of ...

Today platforms including Open Source solutions for Big Data (like Hadoop) and GIS Mapping solutions (like ESRI), SAP HANA, and BigTable, a highly scalable distributed storage system that is used in ...

The Overture Maps Foundation, a collaborative effort to build interoperable open map data, is offering the general availability of its Global Entity Reference System (GERS)—providing a unique ID for ...

This workshop explored how advances in geospatial technologies could inform “precision environmental health”—targeted public health interventions that reach the right populations at the right time.

The Geospatial Imagery Analytics Companies Quadrant provides an in-depth analysis of the global market, spotlighting key players, innovations, and trends. With over 100 companies evaluated, the top 18 ...