Vantor is driving a more autonomous, interoperable world across the defense, intelligence, and commercial sectors. Our spatial intelligence products c
Maxar is highly praised for its advanced AI capabilities and high-resolution satellite imagery, which are critical for precise logistical intelligence. Users appreciate the tool's ability to provide more up-to-date information compared to platforms like Google Maps. However, detailed user reviews regarding specific complaints or pricing are less prominent, leaving gaps in insights on those aspects. Overall, Maxar holds a strong reputation, particularly among those needing timely and high-quality satellite data.
Mentions (30d)
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Platforms
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Maxar is highly praised for its advanced AI capabilities and high-resolution satellite imagery, which are critical for precise logistical intelligence. Users appreciate the tool's ability to provide more up-to-date information compared to platforms like Google Maps. However, detailed user reviews regarding specific complaints or pricing are less prominent, leaving gaps in insights on those aspects. Overall, Maxar holds a strong reputation, particularly among those needing timely and high-quality satellite data.
Features
Use Cases
Industry
information technology & services
Employees
2,000
Funding Stage
Debt Financing
Total Funding
$500.0M
Made a tool to gather logistical intelligence from satellite data
Hey guys, I've been workin on something new to track logistical activity near military bases and other hubs. The core problem is that Google maps isn't updated that frequently even with sub meter res and other map providers such as maxar are costly for osint analysts. But there's a solution. Drish detects moving vehicles on highways using Sentinel-2 satellite imagery. The trick is physics. Sentinel-2 captures its red, green, and blue bands about 1 second apart. Everything stationary looks normal. But a truck doing 80km/h shifts about 22 meters between those captures, which creates this very specific blue-green-red spectral smear across a few pixels. The tool finds those smears automatically, counts them, estimates speed and heading for each one, and builds volume trends over months. It runs locally as a FastAPl app with a full browser dashboard. All open source. Uses the trained random forest model from the Fisser et al 2022 paper in Remote Sensing of Environment, which is the peer reviewed science behind the detection method. GitHub: https://github.com/sparkyniner/DRISH-X-Satellite-powered-freight-intelligence- submitted by /u/Open_Budget6556 [link] [comments]
View originalMaxar uses a tiered pricing model. Visit their website for current pricing details.
Key features include: Model and interact with the world at the speed of change, Understand what’s happening anywhere on Earth and in orbit, Build your own AI-ready living globe.
Maxar is commonly used for: Disaster response and recovery, Urban planning and development, Environmental monitoring and management, Agricultural yield prediction, Infrastructure inspection and maintenance, Military reconnaissance and surveillance.
Maxar integrates with: Google Earth Engine, ArcGIS, QGIS, AWS Cloud Services, Microsoft Azure, Esri ArcGIS Online, Tableau, Python SDK for data analysis, R for statistical computing, MATLAB for advanced modeling.
