Observe
Satellite context
Golden Acres™
Environmental intelligence built from space, soil and trusted evidence.
Golden Acres™ is the environmental intelligence layer behind Nvirosense™. It brings together satellite observations, scientific field instrumentation, environmental physics and calibrated models to guide how environmental conditions are measured, interpreted and translated into monitoring insight.
Measure
Ground evidence
Forecast
Calibrated models
Why this matters now
Agriculture needs visibility at the speed of environmental change.
Climate volatility, water scarcity, variable microclimates and food-security pressure require more precise environmental decisions. Remote sensing provides valuable scale, but it still needs calibration, context and field-level interpretation.
Climate volatility
Environmental conditions are becoming less predictable across growing regions.
Water scarcity
Irrigation decisions need a clearer view of moisture stress and atmospheric demand.
Remote-sensing scale
Satellite layers provide wide-area context, while ground measurements improve interpretation and confidence.
Modelling capacity
Calibrated models can now process richer environmental histories and field observations.
The visibility problem
Farms are under-instrumented, spatially variable and changing faster than sparse data can explain.
Under-instrumented land
Most fields lack enough ground-data infrastructure to explain local variation.
Satellite calibration gaps
Remote-sensing layers alone may not provide the local fidelity needed for confident action.
Spatial variation
Soil, canopy, slope and water movement can shift inside a single field.
Sparse weather networks
Regional weather stations can miss field-level microclimate behaviour.
Rapid change
Heat, humidity, radiation and soil moisture can move faster than manual scouting.
Scalability
One sensor per decision area is rarely economical across large regions.
Hybrid intelligence architecture
The operating model: observe, measure, calibrate, model, forecast and act.
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01
Observe
Sentinel-2 multispectral imagery, Sentinel-1 SAR data and thermal context.
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02
Measure
LI-COR instruments, PAR, radiation, soil and environmental telemetry capture field evidence.
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03
Calibrate
Ground observations calibrate satellite-derived predictions and environmental models.
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04
Model
Digital twins represent blocks, zones and operating conditions over time.
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05
Forecast
ET0, VPD, heat-stress, drought and disease-risk signals indicate emerging pressure.
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06
Act
Insights support irrigation, scouting, reporting and operational decisions.
Observing agriculture from space
Remote sensing creates the wide-area view.
Core sources
- • Sentinel-2 multispectral imagery
- • Sentinel-1 SAR data
- • NASA POWER atmospheric datasets
- • SoilGrids soil-property layers
- • SMAP soil-moisture context
Derived insights
- • NDVI, EVI and NDRE vegetation indices
- • NDWI and MSI moisture-stress mapping
- • Land-surface temperature observations
- • Evapotranspiration and VPD context
Measuring the living environment
Ground measurements test and calibrate environmental predictions.
Scientific field instruments provide the local evidence needed to interpret remote observations, validate datasets and strengthen environmental models.
Atmosphere
Pressure, humidity, dew point, VPD and wind dynamics.
Radiation
GHI, longwave, shortwave and net radiation balance.
Soil & water
Root-zone moisture, soil-temperature profiles, wetness and evapotranspiration.
Research operations
Turn environmental evidence into managed intelligence.
Bring field stations, active sensors, dataset status, validation and model outputs into one operational view for monitoring, analysis and insight.
Research operations · Demonstration data
Ground stationsValidated
Satellite contextCurrent pass
AI model outputs12 current
Export datasetsReady
Digital twins
A calibrated virtual representation of the agricultural environment.
Golden Acres™ interprets the farm as a connected environmental system. Strategically placed ground instruments calibrate satellite-derived and modelled layers, supporting predictions, forecasts and monitoring insight across wider agricultural zones.
Virtual sensorsStress indicatorsIrrigation intelligenceEnvironmental forecastsDecision-support views
Forecasting environmental pressure
Anticipating conditions before impacts become visible.
Hourly
Sub-hourly ET0, VPD and radiation projections and forecasts.
Daily
Stress modelling and growing-degree-day accumulation.
Seasonal
Drought progression and SPEI analysis.
Heat stress
Canopy-temperature and VPD threshold indicators.
Water demand
Soil-moisture-deficit-driven irrigation forecasts.
Disease risk
Humidity- and temperature-based pathogen-pressure modelling.
Heatwave response scenario
When VPD, thermal-stress and soil-moisture signals converge, the platform can indicate a practical response window before crop stress becomes clearly visible.
- • Identify pressure before canopy damage is obvious.
- • Prioritise blocks based on risk and moisture deficit.
- • Support irrigation and scouting decisions with evidence.
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01
Detect
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02
Observe
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03
Model
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04
Forecast
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05
Respond
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06
Mitigate
Earth Project
Golden Acres™ connects local evidence to environmental intelligence at wider scales.
The same intelligence layer can extend beyond agriculture into water systems, climate, carbon, infrastructure and research-grade environmental monitoring.
AgricultureWater systemsClimateCarbonInfrastructureResearch
Research to operations
Build deployable intelligence from trusted environmental evidence.
Nvirosense™ brings research-grade sensing, satellite layers and calibrated models into deployable monitoring products for agricultural, research and environmental programmes.