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 ...

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

Uncover the importance of India's hidden infrastructure projects in 2025, merging engineering and architecture for functional urban spaces.

Visual inspections of the power grid have traditionally relied on manual methods and reactive responses. These inspections, whether performed on foot, by helicopter or drone, often involve fragmented ...

Finance minister Nirmala Sitharaman said that the government will set up a National Geospatial Mission to develop foundational geospatial infrastructure and data The government will use PM Gati Shakti ...

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 ...

Imagine the scene: You’re driving in an unfamiliar city and use Google Maps on your iPhone to get directions to your next meeting. But you don’t just want to know how to get from point A to point B.

India is accelerating its efforts to build domestic geospatial and space-data infrastructure as policymakers and industry leaders warned that rising demand for satellite information, digital public ...

New Delhi: Union Finance Minister Nirmala Sitharaman in her Budget speech Saturday announced a National Geospatial Mission ...

Firm, with support from portfolio company DATAMARK Technologies, to deliver NENA, SDSFIE and USPS-compliant GIS and addressing data to enhance emergency response capabilities across CONUS locations ...

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs. Leaders must design data ecosystems that ...