Answers from orbit, organised by the question

Crop type, field boundaries, irrigation method and cultivated area derived from satellite time series rather than declaration, following the crop calendar of the zone the analysis is run in.

• Crop type classification

  Field-level crop identification from the seasonal phenological signature, produced in-season.

  Processing service
• Field boundary extraction

  Automatic delineation of agricultural parcels, independent of cadastral records.

  Processing service
• Rainfed / irrigated classification

  Separation of irrigated from rainfed cropland from fused radar and optical time series.

  Processing service
• Cultivated-area mapping

  Planted area by crop, aggregated from field to district and national scale on one consistent method.

  Processing service
• Crop condition and stress

  Red-edge indices flag canopy stress weeks before standard vegetation indices.

  Processing service
• Irrigation water demand

  Satellite evapotranspiration converted to crop water requirement per field and per scheme.

  In development
• Agricultural water accounting

  Integrated solution: parcel map, water volume, cost and value per parcel per season.

  In development

Land cover, land use and every kind of change that matters on it, classified consistently across four decades of archive so change is measured rather than estimated.

• Land use and land cover

  Automated classification into built-up, agriculture, forest, rangeland, water and barren land, extendable to a client's own classes.

  Processing service
• Multi-temporal change detection

  What changed between dates, down to individual structures on super-resolved imagery.

  Processing service
• Forest and rangeland vitality

  Canopy health, degradation and long-term vegetation trend.

  Engagement
• Fire detection and burned area

  Active fire from thermal sensors, burned-area delineation and post-fire recovery.

  Engagement
• Land subsidence (InSAR)

  Millimetre-scale ground deformation from radar interferometry.

  Engagement
• Coastal dynamics

  Shoreline advance and retreat, delta migration and erosion hotspots over the archive.

  Engagement

Radar detects oil on the sea surface through cloud and at night. The platform finds the slick, maps its extent and follows it across successive passes as it drifts, spreads and disperses.

• Oil spill detection

  Automatic detection and delineation of surface oil from SAR imagery with look-alike suppression.

  Engagement
• Drift and evolution tracking

  The same slick followed across passes: direction, drift rate, area change and dispersion.

  Engagement
• Marine pollution monitoring

  Discharge plumes, sediment, turbidity and algal bloom extent from optical imagery.

  Engagement
• Coastal impact assessment

  Affected coastal stretch and sensitive receptors in the drift path.

  Engagement
• Standing watch

  Continuous automated monitoring of a maritime area with alerting on detection.

  In development

Spectral and structural analysis over multispectral and hyperspectral imagery to map alteration mineralogy and lineaments, rank exploration targets and monitor ground stability around operating mines.

• Hyperspectral mineral mapping

  Alteration mineralogy and material identification from hundreds of contiguous spectral bands.

  Engagement
• Exploration target ranking

  Spectral, structural and geological evidence combined into a ranked list of targets for drilling.

  Engagement
• Mine subsidence and stability

  InSAR deformation monitoring of pits, tailings and infrastructure.

  Engagement
• Environmental compliance

  Land disturbance, water and vegetation change around operations, tracked over time.

  Engagement

A complete operating picture for lakes, reservoirs, wetlands and rivers: open water measured on every pass, the record reconstructed to 1984, and a six-month outlook.

• Surface water and wetland monitoring

  Open-water extent, permanence, context layers, forty-year history and six-month forecast, self-service.

  Hub platform
• Water quality indicators

  Chlorophyll-a proxy for algal bloom, turbidity and bare-soil exposure.

  Hub platform
• Evaporation and water budget

  Satellite evapotranspiration against precipitation for basins and irrigation schemes.

  Processing service
• Soil moisture

  Radar wet-surface detection and satellite soil moisture at catchment scale.

  Hub platform

Fine detail reconstructed from standard imagery with super-resolution models, change detection at the recovered scale, and material identification from hyperspectral data.

• Satellite super-resolution

  Spatial enhancement of visible and near-infrared imagery, consistent across a time series.

  Processing service
• Sub-metre change detection

  Buildings, roads, earthworks and encroachments detected on enhanced imagery.

  Processing service
• Hyperspectral analysis

  Materials identified by spectral signature: minerals, water constituents, vegetation species, contamination.

  Engagement

Global AI weather models run as one ensemble, weighted by demonstrated skill and corrected to the station scale, delivered with the disagreement made visible.

• AI precipitation and temperature forecasting

  Ten-day ensemble forecasts with station-level correction and uncertainty.

  Hub platform
• Water-area forecast

  Six-month outlook for monitored lakes, wetlands and reservoirs.

  Hub platform
• Drought, flood and fire-weather outlooks

  Forecast fields combined with observed surface state into forward-looking risk.

  In development

Digital twins and WebGIS platforms that put a city's mobility or an organisation's network on one map, with simulation, analysis and a decision workflow.

• Urban mobility digital twin

  Edit the city, simulate the traffic, read the impact in two auditable layers.

  Engagement
• WebGIS and spatial decision support

  Layers, spatial analysis, routing, multi-criteria siting and indicator dashboards on your data.

  Engagement