GNSSderived

GNSS-derived is an adjective describing data, coordinates, or products produced from observations of Global Navigation Satellite System signals, including GPS, GLONASS, Galileo, BeiDou, and others. It denotes information that has been computed from GNSS measurements using processing models and corrections rather than directly measured.

GNSS-derived data are obtained by solving pseudorange and carrier-phase observations with models for satellite orbits and clocks, atmospheric delays, multipath, and receiver biases. Processing approaches include differential GNSS (DGPS), real-time kinematic positioning (RTK), and precise point positioning (PPP). Multi-constellation processing uses signals from multiple GNSS constellations to improve accuracy, reliability, and availability.

Applications span surveying, mapping, navigation, geodesy, timing, aviation, autonomous vehicles, agriculture, and disaster response. Data inputs include GNSS receiver measurements, GNSS reference networks, and external correction products such as precise orbital and clock data and augmentation corrections from networks like WAAS/EGNOS or regional systems.

Limitations and considerations: GNSS-derived results depend on signal quality, geometry, atmospheric conditions, and receiver quality. Urban canyons, foliage, multipath, jamming, and spoofing can degrade accuracy or availability. Real-time products reduce latency but may trade off some precision. Long-term stability and integrity require careful handling of reference frames and product versions.

See also: GNSS, RTK, PPP, GNSS augmentation, geodesy.