Nature Research Intelligence Topics Topic summaries Information and Computing Sciences Applied Computing Spatial Data and Applications Spatial data now underpin a wide array of critical applications ...

Environmental sustainability refers to the conservation and management of natural resources to match the needs of present ...

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 ...

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 ...

A new study published in Big Earth Data demonstrates that integrating Twitter data with deep learning techniques can ...

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 ...

Integrating geographic information systems with digital twin technology marks a pivotal advancement in transit organizations’ asset management. This fusion delivers a powerful digital model 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 ...

As regular readers of this newsletter know, my primary focus over the past year has been to champion the importance of geodesy and to prepare the geospatial ...

As a master’s student in the Master of Science in Geospatial Engineering emphasis, discover the power of place. Gain in-depth, hands-on knowledge of remote-sensing technologies, which harvest ...

After the plenary of the United Nations Committee on the Peaceful Uses of Outer Space (COPUOS) in June, the global space community typically looks to the 75th International Astronautical Congress in ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...