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Robust geospatial datasets with integrated BigQuery capabilities that empower you to unlock business and sustainability insights, without remote sensing or GIS expertise.

Enrich your geospatial data in BigQuery with Earth Engine's deep collection of data about the world, all from within BigQuery Studio. Analyze and visualize earth data at scale to quickly access insights and build powerful solutions for a more sustainable future. Run custom machine learning models using the capabilities of Vertex AI and the 90+ petabytes of data in Earth Engine’s data catalog.

Overcome the limitations of traditional data collection methods and proactively respond to congestion and traffic issues. Use historical data analytics to identify congestion patterns within your road networks, pinpoint potential causes of slowdowns, and take informed action. Detect and respond to sudden speed drops, pinpoint the cause, and enable swift action like rerouting traffic.

Combine your data with Google Maps’ rich POI data using Places Insights in BigQuery’s data clean rooms. Uncover key attributes such as place types, ratings, store hours, and wheelchair accessibility. Use the Places dataset to inform business decisions, like identifying the best location for a store. Harness the scale and performance of BigQuery to power your most demanding geospatial analysis needs.

Transform your operational model, workflows, and decision-making with large-scale remote sensing and AI-powered insights from our imagery. Use image analysis to automate asset identification and simplify complex planning processes. Gain visibility from design to maintenance, using a 3D digital twin integrated with your GIS systems. Control costs and meet operational demands of scaled distributed infrastructure assets.