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Hyperlocal Air — Ground-truth hyperlocal air-quality and greenhouse-gas measurement set collected from a mixed fleet of mobile, stationary, wearable and robotic sensors, sampled roughly every 30 metres of street and fused with satellite and third-party sensor feeds. Includes 16+ named species (benzene, toluene, ethylbenzene, the three xylene isomers, ozone, nitric oxide, sulphur dioxide, nitrogen dioxide, styrene, ammonia, formaldehyde, 1,3-butadiene, particulate matter sized 1-10µm, black carbon) and is delivered through the vendor's subscription Air Intelligence Cloud. Explicitly sold as a …
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Ground-truth hyperlocal air-quality and greenhouse-gas measurement set collected from a mixed fleet of mobile, stationary, wearable and robotic sensors, sampled roughly every 30 metres of street and fused with satellite and third-party sensor feeds. Includes 16+ named species (benzene, toluene, ethylbenzene, the three xylene isomers, ozone, nitric oxide, sulphur dioxide, nitrogen dioxide, styrene, ammonia, formaldehyde, 1,3-butadiene, particulate matter sized 1-10µm, black carbon) and is delivered through the vendor's subscription Air Intelligence Cloud. Explicitly sold as a commercial data service augmenting public monitoring networks.
From 5 yearsCoverage Industrials · Information TechnologyAsset class Equities
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Hyperlocal Air — Ground-truth hyperlocal air-quality and greenhouse-gas measurement set collected from a mixed fleet of mobile, stationary, wearable and robotic sensors, sampled roughly every 30 metres of street and fused with satellite and third-party sensor feeds. Includes 16+ named species (benzene, toluene, ethylbenzene, the three xylene isomers, ozone, nitric oxide, sulphur dioxide, nitrogen dioxide, styrene, ammonia, formaldehyde, 1,3-butadiene, particulate matter sized 1-10µm, black carbon) and is delivered through the vendor's subscription Air Intelligence Cloud. Explicitly sold as a …
Hyperlocal Air offers (Alternative, Geospatial, ESG, Sentiment) — Order 10^8-10^9 readings per city per year (16+ species per node at sub-minute sampling; hundreds of 30-metre nodes across a city yields roughly 30M readings/node-year at 5-minute intervals on a single species), with multi-city deployments multiplying that several-fold.
Training and validation of hyperlocal air-quality downscaling and land-use-regression models (ground truth for satellite and low-cost-sensor correction), exposure model calibration for epidemiology, compliance and litigation-grade source attribution for regulators, ESG and real-life-exposure scoring for insurers and asset owners, traffic and low-emission-zone policy impact evaluation, model evaluation benchmark for external air-quality AI vendors
The data is with 5 years of history.
Coverage spans Europe, US, UK, Other; Environmental Services, Application Software; alternative, geospatial, ESG, sentiment; equities.
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