About us
About Spatial Tech
Spatial Tech is an independent publication covering geospatial technology, remote sensing, positioning systems, and smart infrastructure. We track how location intelligence, satellite imaging, AI-powered mapping, and connected spatial systems are reshaping industries — from urban planning and environmental monitoring to logistics, surveying, and enterprise operations.
Originally established as a resource for the spatial data and GIS community in Sweden, the site has broadened its scope over the years to cover the wider geospatial technology landscape as the industry has evolved. What began as a focused platform for spatial database professionals now encompasses the full spectrum of technologies and applications that depend on understanding where things are and how they move.
What we cover
Our coverage spans the core technologies and emerging applications that define modern geospatial work. We write about geographic information systems and spatial data management, remote sensing and Earth observation, GPS and GNSS positioning infrastructure, LiDAR and 3D mapping, smart city planning and digital twins, and the growing role of artificial intelligence and machine learning in geospatial analytics.
We are particularly interested in the intersection points — where geospatial technology meets other domains. How satellite data informs financial decision-making. How positioning systems enable autonomous logistics. How urban sensor networks feed into city-wide digital twins. How AI is automating processes that previously required months of manual analysis. The most significant developments in this industry tend to happen at these boundaries, and that is where we focus much of our attention.
How we approach our coverage
Spatial Tech is not a news wire. We do not aim to be first with every announcement or press release. Instead, we focus on analysis, context, and practical insight. When a new satellite constellation launches or a city deploys a new sensor network, we are more interested in what it means for the industry than in being the first to report the headline.
We write for professionals who already understand the fundamentals and want deeper perspective on where things are heading. Our articles are intended to be useful — whether that means helping a GIS analyst understand how a new data standard will affect their workflows, or helping an infrastructure planner evaluate whether a digital twin platform is ready for production deployment.
We value clarity over jargon, substance over hype, and practical relevance over theoretical possibility. The geospatial industry has no shortage of ambitious visions for the future. What it often lacks is honest assessment of what actually works today and what remains aspirational.
Who reads Spatial Tech
Our readers include GIS analysts, remote sensing specialists, surveying professionals, urban planners, infrastructure engineers, geospatial data scientists, and technology decision-makers across both the public and private sectors. We also attract readers from adjacent industries — logistics, environmental science, defence, agriculture, and financial services — where geospatial data and spatial analysis are becoming increasingly central to operations.
Topics we write about regularly
GIS and spatial data management, remote sensing and satellite imaging, GPS and GNSS positioning systems, smart cities and urban infrastructure, AI and geospatial analytics, LiDAR and 3D mapping, digital twins and reality modelling, autonomous surveying and mobile mapping, environmental monitoring and climate data, and geospatial applications in logistics and supply chain operations.
Our editorial independence
Spatial Tech operates independently and is not affiliated with any technology vendor, industry association, or government body. Our coverage is not influenced by advertising relationships or sponsorship arrangements. We write about what we believe matters to the geospatial community, and we maintain full editorial control over everything we publish.
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