9.3.3 — Real Estate Intelligence — maturity: live

Vacancy & Occupancy Indicators

Using multispectral optical and nighttime light imagery to distinguish occupied from vacant properties across residential, commercial and industrial stock at city scale.

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Governments and municipalities routinely make fiscal, zoning and housing policy decisions with occupancy data that is years out of date, collected through expensive ground surveys, or simply not collected at all. Vacant properties depress tax revenue, attract blight and distort housing supply signals — yet most national statistics offices cannot map vacancy at the parcel level in anything close to real time. The gap between what planners think is happening in the built environment and what is actually happening has real costs: misallocated infrastructure investment, under-enforced vacancy taxes and chronic undersupply in high-demand corridors.

A satellite stack resolves this by fusing two independent signals. Daytime multispectral revisits detect the physical markers of vacancy — overgrown plots, unrepaired roofs, absent vehicles, boarded openings — while nighttime low-light imagery captures whether a building is actually occupied after dark. Layered change detection between monthly passes flags newly vacant units and newly reoccupied ones without anyone knocking on a single door. At the commercial tier, parking-lot fill rates and rooftop HVAC unit activity provide a further proxy for trading occupancy.

The operational output is a dynamic vacancy rate surface — updated monthly — that planning departments, tax authorities and housing agencies can query at the cadastral parcel level. Municipal finance teams use it to identify properties evading vacancy levies. Housing ministries use it to locate latent supply. Urban redevelopment agencies use it to prioritise acquisition and remediation. The insight requires no cooperation from landlords or letting agents, and it cannot be gamed by selective non-disclosure.

What matters

Nighttime light intensity at 500m resolution (VIIRS DNB) reliably discriminates inhabited from long-term vacant structures at neighbourhood scale.
Commercial vacancy rates are a leading indicator of urban economic stress; a six-month lag in that data is enough to cause municipalities to miss the fiscal inflection point.
Vacancy tax enforcement depends on proving duration of emptiness — satellite-derived time series provides a court-admissible, tamper-proof record.
Foreign-owned or shell-company-held vacant investment properties are a documented driver of housing unaffordability; sovereign imagery removes dependence on landlord self-reporting.

Sovereignty score: 7/10 — A government that cannot independently map vacancy in its own housing and commercial stock is handing landlords, developers and foreign investors an information advantage over its own fiscal and planning apparatus.

Vacancy tax regimes — now enacted or under consideration in Ireland, Canada, Australia and several EU states — are unenforceable without independent spatial evidence; reliance on commercial data vendors creates a conflict of interest when those vendors serve the same property industry being taxed.
Foreign investment in residential real estate is a sensitive geopolitical issue; routing national housing occupancy data through a foreign satellite operator exposes politically sensitive supply intelligence to that operator's home-country government.
Commercial occupancy indices sold by private data firms are derived from mobile location data subject to GDPR and equivalent privacy restrictions, making them legally fragile as a policy evidence base; sovereign satellite imagery is not constrained by those data-source limitations.

Reference architecture

Payload: Dual payload: (1) multispectral pushbroom imager, 4 bands (Blue/Green/Red/NIR), 3m GSD, 20km swath; (2) low-light optical sensor, panchromatic, 100m GSD, 40km swath, optimised for nighttime radiance 10⁻⁴ to 10² W/sr/m²
Bus class: 6U cubesat, 10kg wet, 30W average payload power; two payload modules on common 12U bus as paired formation option for dual-mode collect
Orbit: Sun-synchronous LEO at 520–540km; local solar time 10:30 descending node for daytime collects; paired nighttime pass at 22:30 LST from same ground track; 16-satellite walker constellation achieving 20–25 day full-city revisit for any single city, 3–5 day for priority urban zones
Ground segment: National 3-station S-band TT&C and X-band downlink network; primary stations co-located with capital-city and two regional data centres; SatNOGS UHF backup for housekeeping telemetry; 120 Mbps peak downlink per satellite
Software & data
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References

UN-Habitat — Metadata on Housing Vacancy and Urban Indicators — UN-Habitat tracks vacancy as a structural indicator of urban health and notes that most lower-income nations lack parcel-level vacancy data entirely. The organisation endorses Earth observation as a scalable alternative to census-based approaches.
USGS — VIIRS Day/Night Band Nighttime Lights — USGS archives the VIIRS Day/Night Band product, which has been used extensively to proxy economic activity, building occupancy and infrastructure function at sub-kilometre resolution.
ESA — Copernicus Urban Atlas — The Copernicus Urban Atlas maps land use and built-up morphology across European cities at 0.5-hectare minimum mapping unit, providing the spatial framework into which occupancy signals from optical and nighttime imagery can be ingested.
World Bank — Housing Vacancy and Urban Land Policy — World Bank urban development research identifies vacant and underutilised land as a primary lever for affordable housing supply, arguing that governments lack the monitoring tools to act on it systematically.
Planet Labs — Monitoring Built Environment Change with Daily Optical Imagery — Planet's daily 3m optical constellation demonstrates the revisit cadence required to detect short-cycle occupancy changes such as seasonal vacancy in resort markets or rapid commercial turnover in retail corridors.