True remote sensing persistence requires a constellation of high-resolution X-Band space-based radar imaging satellites. Radar illumination is daylight independent and penetrates clouds, haze, dust and smoke.
With a planned launch in 2024, the XpressSAR constellation will guarantee collection in the cloud-persistent regions of the globe between 48° North and South. XpressSAR collects and delivers high resolution remote sensing data and data products within hours, guaranteed.
XpressSAR’s constellation of four X-band radar satellites has an average revisit rate of just a few hours. The XpressSAR system is highly tactical and designed to be a change detection machine. As such, XpressSAR can act as a watchful eye in space over any location in its coverage area. It can monitor harbors, airfields, active volcanoes, spreading floods, oil spills, ship traffic, and other sites and activities, with a periodicity of days or even hours.
And because radar illumination is consistent, XpressSAR collections of pairs, triplets or large stacks of images can be used for automated change detection, subsidence monitoring or quick digital elevation or terrain models. XpressSAR can persistently monitor the location you care about and alert you when something significant has occurred.
XpressSAR uses the most advanced commercial radar imaging technology available and is based on space proven TRL9 radar imaging technology used on satellites that have been taking high-quality, excellent signal-to-noise radar images for several years.
XpressSAR has quad-polarization with a wide range of collection modes ranging from small-area Spotlights with sub-meter resolution to large-area StripMaps with resolutions from 1-to-3 meters.
Radar measurements are naturally precise. When radar data are combined with commodity GPS orbit-determination processes, they are used to form images that are in line with the geolocation revolution. XpressSAR data has state-of-the-art geo-locational accuracy matching the scale of the pixel. No post-processing manipulation needed - you get precision with the image.