Geospatial data integration and matching techniques are pivotal in reconciling spatial information from diverse sources, enabling comprehensive representation and analysis of the physical world. These ...

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 Spatineo Descovery streamlines spatial data discovery and ...

The ongoing AI revolution, marked by rapid advances towards artificial general intelligence (AGI), is transforming the way we live and work. This is ...

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 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 ...

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 ...

In NSW, DCS Spatial Services has an opening for a full-time Spatial Technician. The role involves undertaking a range of ...

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 ...

Sentinel-2 multispectral satellite imagery has been used to spot sugarcane disease well before it would normally reveal itself.