Imagery+Analytics offers on-demand access to current, high-resolution satellite imagery within your ArcGIS workstream for in-depth analysis. It’s a cloud-based subscription powered by GBDX, our geospatial big data platform, which pairs DigitalGlobe’s 100+ petabyte library with advanced AI-enabled algorithms that work at any scale.
Whether you’re analyzing post-event impact or monitoring an on-going situation – you need the most current imagery available.
• New imagery typically available within 72 hours of collection
• Access our entire 17-year, 100 petabyte library
• Global coverage
• All images atmospherically compensated using DigitalGlobe’s proprietary AComp methodology
Flooding in Texas from Hurricane Harvey
Streamline your workflow with quick, cloud-based access to imagery.
• Selected imagery is made available as native ArcGIS Image Services
• Access to the full range of multispectral, panchromatic and pan-sharpened images
• Easy image visualization and automated exploitation analysis
Deploy an array of cutting-edge AI algorithms to scale and simplify complex analytics.
• Run both Esri’s ArcGIS raster analytics and GBDX automated imagery analysis
• Apply machine learning capabilities for automation, like automated object detection and feature extraction capabilities
• Employ the ENVI® task engine library of an advanced image processing analytics
• Term: 12-month subscription.
• View Users: Unlimited viewing access available for non-commercial resale use of imagery and derived analytic products.
• Named Analyst Users: Designated named analyst users can explore DigitalGlobe catalog, select image datasets, convert into analysis-ready dynamic image services and run GBDX analytics.
• Imagery Services: Selected DigitalGlobe imagery is available for the subscription term up to the sq km subscription limit. If more imagery is required than included in the customer subscription tier, customers can purchase another tier during the current subscription term.
WebinarClick to view webinar
Data SheetClick to view data sheet
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