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 ...

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 ...

Don Murray is cofounder of Safe Software and has spent his career helping organizations bring life to data to make better decisions. The world we live in is spatial. Think about how many times you use ...

In my August 2025 GPS World newsletter column, I highlighted that a colleague reminded me that the National Geodetic Survey’s (NGS) new National Spatial Reference System (NSRS) is more than a ...

According to Deloitte, more than 1,170 Earth observation satellites are currently in orbit, and 51% of them have been launched since 2019. Thanks to massive advances in satellites as they monitor ...

Geospatial data is now mission-critical for state and local governments, supporting wildfire response, transportation planning, and resilient infrastructure. Yet adoption often stalls at pilot ...

An emerging issue in the field of geospatial data science is the imbalance between the abundance of freely available big datasets and the limited number of professionals trained to leverage them, ...

The goal is to improve risk management and expand access to more customers in markets that better data now makes possible.

“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 ...

National Geospatial-Intelligence Agency analysts used satellite imagery to identify areas where logging had occurred in the Democratic Republic of the Congo in potential violation of agreements.

Federal civilian agencies are operating at a critical inflection point. The public expects faster, smarter, and more transparent services, while agencies face pressure to deliver under tightening ...

A key objective of data governance is to provide information to people with a legitimate need to know and to restrict it from those who do not. While the solution to effective data security is largely ...