How observation works, place by place, toward 2030.

Interactive stories about the places we observe, the systems that join them and what changes by 2030. Every figure is drawn to scale or computed from published physics, and every claim cites its source.

Place: Dense city block The instrumented streetFour city blocks, read as an observing system: small cells on street poles, air-quality and heat sensors beside them, and an edge node that corrects, times…Place: Suburb The suburb as a power stationRooftop solar, home batteries and electric vehicles turn a residential street into thousands of small generators. Observing them is how a distribution grid…Place: Rural village A village at the end of the lineWhere the fibre ends, a single mast, a satellite terminal and a handful of sensors decide whether a village is on the map of observation. Canada’s target is…Place: Remote northern community Observation the community governsIn a remote northern community, an observing station is also a question of who owns the data, who decides how it is used and who benefits. Principles for…Place: Farmland Field to forecastA farm observes water: in the soil, in the crop and in the air above it. Crop water use is computed from weather with a method agronomists have shared for…Place: Forest and wildfire Seeing smoke soonerA fire is cheapest to fight in its first hour. Ridge-top cameras, weather in the stand and satellite hot spots each see it at different times and scales;…Place: River basin and floods Rising water, counted in metresA flood map is a sentence about the future: this ground lies below that level. Gauges along the valley, a weather station and a terrain model turn the…Place: Coast and port The port that sees the approachA port observes three things at once: the ships coming in, the sea they come through and the cranes that receive them. Ship identity travels on a radio…Place: Mountains and avalanche terrain Snowpack, slope and signalAvalanche forecasting reasons about the likelihood and size of avalanches on given terrain. The observations behind it come from a few stations in hard…Place: Arctic Instruments at the edge of the cryosphereThe Arctic has warmed about three to four times faster than the global average, depending on the period and the dataset. The instruments that showed it are…Place: Desert and dust Dust, heat and the solar fieldIn deserts, dust is weather. It reaches cities as air pollution, crosses oceans, and settles on solar panels: soiling cost global solar output at least…Place: Ocean The ocean below the surfaceMost of the ocean’s heat lies below what satellites can see. Profiling floats drifting at depth and surfacing to report have measured it routinely since the…Place: Airspace and drones A shared sky below 120 metresFlying beyond visual line of sight turns a drone from a camera on a stick into infrastructure. It needs a command link that holds, an identity others can…Place: Orbit Orbits as infrastructureLow orbits are fast and crowded, high orbits slow and spacious. Every choice of altitude is a trade between delay, footprint and how long the satellite…System: End to end An observation grid, end to endAn observation is not a reading. It is a reading with a place, a time, a calibration and a path that anyone can follow back. An observing grid is the…System: Private 5G and AI-RAN Private 5G with the inference in the radioA private cellular network gives a site its own coverage, its own security and its own priorities. AI-RAN adds a second idea: the accelerators that run the…System: Satellite backhaul When the backhaul is a satelliteFor a remote site, the satellite is not a backup; it is the network. Since Release 17, the cellular standard includes satellites as part of the radio access…System: LPWAN and mesh Kilometres on a coin cellMost environmental sensors send a few bytes a few times an hour. Low-power wide-area networks trade bandwidth for range and battery life; mesh networks…System: Timing and PNT Time as infrastructureA 5G cell must hold its phase within 3 µs of its neighbours, ±1.5 µs of a common reference; a synchrophasor’s one per cent vector error leaves room for only…System: Edge AI inference Deciding at the edgeA model that detects smoke, flooding or a fault is most useful where the frame is captured. Running inference at the edge cuts the time to a decision and…System: Digital twin of a site A digital twin that keeps its sourcesA digital twin is a model of a physical asset kept current by observation of it. The hard part is not the geometry; it is keeping every value in the model…System: Data provenance chain From sensor to recordA published observation should carry its own history: which instrument made it, when, under which calibration, and every step since. The web already has a…System: Federation across agencies Many agencies, one pictureNo single agency observes everything it needs. Federation lets each keep its own systems and still share: common interfaces, common catalogues and common…System: Resilient operations When the links failObserving systems matter most on the days infrastructure fails. Designing for that day means local autonomy, stored power, store-and-forward delivery and…Horizon 2030: Overview What changes by 2030Six shifts will reshape how the Earth is observed before the decade ends: networks that sense, models that forecast, foundation models that read imagery,…Horizon 2030: 6G and sensing Networks that senseThe framework for 6G names integrated sensing and communication as one of its usage scenarios: the same radio that carries data also measures range,…Horizon 2030: AI weather and geospatial foundation models Models that learned the atmosphereIn three years, machine-learned weather models went from research papers to operations. They learned from decades of reanalysis, which means they inherit…Horizon 2030: Post-quantum cryptography Cryptography that outlasts the quantum computerData signed today may need to be trusted in 2040. Post-quantum standards were first published in August 2024, and governments have set dates for leaving…

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