PassPrediction is mission-planning software for Earth observation. We turn public orbital data into accurate, decision-ready answers to a single question: when can a satellite see my Area of Interest, and what will it capture? From a live world map you can search passes, model swaths and off-nadir feasibility, run multi-satellite tasking simulations, and estimate end-to-end image-delivery latency — for any AOI on Earth.
Tasking and feasibility analysis has long been locked inside the proprietary tools of individual satellite operators. Our mission is to make rigorous, operator-agnostic mission planning available to everyone — researchers, emergency responders, analysts, and commercial imagery buyers — using transparent orbital mechanics rather than a black box.
We propagate Two-Line Element (TLE) data with the industry-standard SGP4/SDP4 models to compute ground tracks, access windows, look angles, and sensor footprints in real time. Optical and SAR sensor models account for swath width and off-nadir angle (ONA) so feasibility reflects each satellite's real geometry, not an idealized overpass. Everything is computed against the WGS84 ellipsoid and rendered on an interactive 2D and 3D globe.
PassPrediction serves the Earth observation community: space agencies and their partners, commercial constellation operators, GIS and remote-sensing analysts, disaster-response teams, and developers building tasking workflows on top of our API. The free tier is open to anyone for live tracking and pass prediction; registered and API tiers unlock saved AOIs, tasking simulation, latency modeling, and data export.
Orbital data is sourced from public catalogs (Space-Track.org and CelesTrak) under their usage agreements. Predictions are estimates derived from public TLEs and must not be relied upon for safety-of-life, flight, launch, or collision-avoidance decisions. We refresh the catalog on a disciplined schedule and surface TLE freshness so you always know how current a prediction is.