- Building footprint extraction at city scale — High-resolution optical and SAR imagery can delineate individual building outlines across entire cities. The accuracy ceiling depends on pixel size, roof geometry, and how honestly the method accounts for SAR distortion.
- Cadastral boundary verification using sub-metre imagery — Sub-metre commercial imagery lets land registries check registered parcel boundaries against physical reality at scale, flagging encroachments and area discrepancies before they become disputes. Accuracy requirements are strict and the legal status of satellite-derived boundaries is not equivalent to a ground survey.
- Construction activity monitoring and project-stage tracking — Satellite imagery and SAR coherence time-series can track individual construction sites from ground-break to topping-out, independent of cloud cover. The method underpins permit compliance, infrastructure investment verification, and economic nowcasting in cities where ground inspection is slow or politically fraught.
- Impervious surface mapping for urban flood and runoff modelling — Sealed surfaces drive flash-flood risk, yet most cities lack current maps of their true impervious fraction. Spectral unmixing of Sentinel-2 and Landsat imagery, checked against SAR backscatter, produces impervious-fraction grids that feed directly into hydrological models.
- Informal settlement detection from satellite imagery — Sub-metre optical imagery and spectral analysis can distinguish informal settlements from formal low-rise housing by roof material, street geometry, and building density. The method is powerful but not infallible: dense formal housing creates genuine ambiguity that honest analysis must flag.
- Land-use change detection for planning enforcement — Satellite change detection exposes unauthorised construction, green-belt encroachment and agricultural conversion before enforcement windows close. This page covers sensor choice, minimum detectable change size, and what courts and planning tribunals actually accept as evidence.
- Night-lights mapping of urban economic activity — Calibrated night-light radiance from VIIRS and DMSP-OLS reveals electrification extent, relative wealth gradients, and economic activity patterns. The signal is real but indirect: physics, saturation, and mixed light sources all require careful handling before any GDP inference is defensible.
- Population distribution modelling from built-environment data — Dasymetric mapping disaggregates census totals onto fine spatial grids by weighting them against satellite-derived proxies: building footprints, roof area, settlement extent, and night-light intensity. The method is powerful and the uncertainty is compounding. Both facts matter.
- Property tax base mapping from satellite data — Satellite imagery can count, measure, and roughly value taxable structures even where ground records are absent or decades out of date. This page explains which sensors do what, where the method breaks down, and what a municipality can realistically expect from a first survey.
- Urban air quality proxy mapping from satellite aerosol and NO2 data — Satellite-derived aerosol optical depth and tropospheric NO2 columns can be disaggregated to sub-kilometre resolution using land-use regression, producing spatially continuous pollution proxies where ground networks are absent or patchy.
- Outdoor advertising and billboard inventory mapping — Sub-metre optical satellites and oblique aerial imagery can detect, locate, and height-estimate large outdoor advertising structures across an entire city in days, exposing the gap between what operators have licensed and what is actually standing.
- Building age and construction-era proxy classification from spectral decay — Spectral reflectance shifts in weathered roofing materials, moss colonisation, and surface oxidation allow satellite imagery to estimate relative building age without a cadastral registry. The method is a proxy, not a legal record, and re-roofing breaks the signal.
- Cemetery and burial ground expansion monitoring — High-resolution satellite imagery can track cemetery expansion, encroachment disputes and new grave-plot formation at sub-metre scale, giving land administrators an auditable spatial record where ground surveys are impractical.
- Commercial and industrial land-use zoning compliance audit — Satellite imagery combined with SAR activity signatures and object-based classification can identify parcels operating outside their gazetted zoning category, flagging candidates for ground inspection before enforcement action.
- Plot subdivision and densification detection within existing urban fabric — Rear-garden infill and informal plot splitting rarely appear in land registries until years after construction. Multi-date sub-metre imagery and building-footprint differencing catch them as they happen.
- Urban expansion and boundary mapping — Satellite imagery from Sentinel-2, Landsat and Sentinel-1 SAR can track the outward spread of built-up areas with annual or sub-monthly cadence, exposing where urban boundaries on official maps have fallen behind reality.
- Urban flood extent rapid mapping during and after events — SAR backscatter change detection maps open-water extent in flooded cities through the cloud cover that defeats optical sensors. Sentinel-1, COSMO-SkyMed and Capella Space provide the imagery; honest analysis requires acknowledging what radar shadow hides.
- Urban green-space audit and canopy mapping — Satellite multispectral and LiDAR data can quantify urban green space with far more rigour than ground surveys alone, but separating canopy layers and correcting for seasonal bias demands careful method choices. This page explains what the sensors can and cannot resolve.
- Urban groundwater recharge zone identification from land-cover and soil data — Satellite-derived land cover, terrain, and soil permeability data can pinpoint the shrinking fraction of urban land where precipitation still infiltrates. The outputs feed directly into drainage bylaws and aquifer protection zones.
- Urban heat island mapping from thermal infrared — Thermal infrared satellites measure land surface temperature across urban fabrics, revealing heat-island cores, cool corridors, and the stark contrast between asphalt and tree canopy. Resolution limits are real and matter for city planning.
- Heritage and historic district change detection for conservation — Very-high-resolution optical satellites can detect single-storey additions, roof replacements and demolitions on registered historic buildings before enforcement windows close. But nadir geometry has real limits on narrow streetscapes, and cloud cover imposes latency that planners must plan around.
- Informal tenure boundary delineation for land formalisation programmes — Very-high-resolution optical imagery and drone-derived surface models can map de-facto plot boundaries in informal settlements, giving land-titling programmes a geometric starting point without a full cadastral survey.
- Informal market and street-trading area mapping — Informal markets are invisible to cadastral records yet visible from orbit. Temporal stacking of very-high-resolution imagery reveals the periodic canopy signatures that betray weekly or daily trading cycles, giving municipalities a defensible evidence base for revenue, health and transport decisions.
- Pavement and carriageway encroachment detection by mobile structures — Multi-date very-high-resolution imagery from SkySat and Pleiades Neo can detect semi-permanent kiosks, canopies and stalls occupying pavements or traffic lanes, giving enforcement teams a spatially precise, time-stamped record of encroachment.
- Urban noise barrier and acoustic infrastructure mapping — Very-high-resolution optical imagery and airborne LiDAR can locate, classify, and audit roadside noise barriers at city scale, revealing material type and continuity gaps that ground surveys miss or price out.
- Urban parking utilisation monitoring from very-high-resolution revisit — Sub-metre satellite imagery acquired at multiple times of day lets analysts count parked vehicles across surface car parks and on-street bays, producing occupancy curves that inform dynamic pricing and land-value assessments. The method is honest about what it cannot see: covered decks, underground structures, and steeply oblique acquisitions above 30 degrees off-nadir.
- Container yard and port logistics area utilisation monitoring — VHR optical satellites count containers, estimate stack heights, and track yard occupancy at weekly or better cadence, giving port operators and trade analysts throughput proxies that bypass restricted or delayed customs reporting.
- Urban electricity grid infrastructure mapping from imagery — Sub-metre optical and SAR imagery can locate transmission towers, substations and overhead distribution lines with enough precision to supplement or challenge an ageing asset register. Underground cables remain invisible to optical sensors, and the confusion between transmission towers and mobile masts is a real operational problem.
- Urban road network extraction from high-resolution imagery — Automated extraction of road centrelines, carriageway widths and junction geometry from sub-metre optical imagery closes the gap between what governments think their road network looks like and what is actually on the ground.
- Rooftop rainwater harvesting potential mapping from imagery and rainfall data — Combining sub-metre building footprints, photogrammetric roof slopes, and long-term rainfall climatology lets planners rank every structure by harvestable volume before a single tank is installed.
- School and health facility access mapping from built-environment data — Satellite-derived building footprints, road networks and gridded population data combine to show which urban residents fall outside realistic catchment distances of schools and health facilities, and which planning assumptions have been quietly wrong for years.
- Slum upgrading programme progress tracking over time — Very-high-resolution multi-epoch imagery tracks physical changes in roof material, structure regularity and road access across informal settlements, providing an independent audit of whether slum-upgrading programmes are delivering measurable outcomes on the ground.
- Rooftop solar potential mapping from DSM and irradiance data — Stereo and SAR-derived surface models, combined with satellite irradiance records, let planners estimate per-building photovoltaic yield before a surveyor sets foot on site. The method has real limits: rooftop obstructions and cloud seasonality both introduce uncertainty that honest analysis must quantify.
- Sports and recreation facility audit from satellite imagery — Spectral classification and shape-template matching across Planet, Sentinel-2 and Pléiades Neo imagery can inventory formal and informal sports facilities city-wide, exposing gaps in provision that ground surveys routinely miss.
- Urban land subsidence mapping for infrastructure risk — InSAR time-series analysis detects millimetre-scale vertical ground motion across entire cities, pinpointing differential settlement before it cracks foundations, buckles pipelines or derails trains.
- Urban surface material classification using spectral indices — Multispectral and shortwave-infrared reflectance ratios separate roofing and paving materials that visible bands cannot distinguish, supporting heat-island modelling, runoff coefficients and informal-settlement characterisation.
- Public transit stop activity estimation from very-high-resolution revisit — Sub-hourly VHR passes over bus stops, ferry terminals and rail stations let analysts count vehicle queues and crowd proxies where fare-gate data simply do not exist. The method is indirect but spatially universal.
- Individual urban tree detection and species classification — Satellite imagery at sub-metre resolution can delineate individual urban tree crowns, estimate their diameter, and, with hyperspectral data, classify species or functional type. Each method has a hard resolution floor and a candid set of failure modes.
- Vertical urban growth and floor-count estimation — Horizontal expansion mapping misses the storey-by-storey densification reshaping urban floor-area supply. Stereo-derived surface models and multi-epoch height differencing reveal what footprint analysis cannot.
- Illegal waste site and open-dump detection in urban fringes — Open dumps and unauthorised tipping grounds leave spectral fingerprints in SWIR and visible bands that change over time. Satellite analysis can flag candidate sites across entire city peripheries in days, though field verification before enforcement remains essential.
- Urban waterbody and riparian encroachment mapping — Satellite water-index time series and sub-metre imagery can distinguish legally protected riparian buffers from seasonally shifting shorelines, giving enforcement agencies defensible evidence of permanent encroachment.