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Telops Inc. (Quebec City hyperspectral imaging maker; part of the Exosens group) — Airborne thermal-infrared HYPERSPECTRAL methane observations and their quantified derivatives: Hyper-Cam Airborne Mini (HCAM) FTIR spectrometer hypercubes (spectrally resolved scene radiance cubes) collected from fixed-wing and helicopter platforms over oil and gas sites and pipelines, plus processed outputs - methane detection flags from Telops' in-house Generalised Likelihood Ratio Test algorithm, column-abundance quantification in ppm*m, converted release rates in g/s, per-inspection detection-limit models c…
Datasets
1Airborne thermal-infrared HYPERSPECTRAL methane observations and their quantified derivatives: Hyper-Cam Airborne Mini (HCAM) FTIR spectrometer hypercubes (spectrally resolved scene radiance cubes) collected from fixed-wing and helicopter platforms over oil and gas sites and pipelines, plus processed outputs - methane detection flags from Telops' in-house Generalised Likelihood Ratio Test algorithm, column-abundance quantification in ppm*m, converted release rates in g/s, per-inspection detection-limit models computed with meteorological inputs (ground-level temperature and wind speed ingested from a weather API), thermal-contrast records, and Inspection Statistics Reports that score each inspection's quality.
From 10 yearsCoverage Industrials · EnergyAsset class Equities · Fixed income · Commodities
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What does Exosens do?
Telops Inc. (Quebec City hyperspectral imaging maker; part of the Exosens group) — Airborne thermal-infrared HYPERSPECTRAL methane observations and their quantified derivatives: Hyper-Cam Airborne Mini (HCAM) FTIR spectrometer hypercubes (spectrally resolved scene radiance cubes) collected from fixed-wing and helicopter platforms over oil and gas sites and pipelines, plus processed outputs - methane detection flags from Telops' in-house Generalised Likelihood Ratio Test algorithm, column-abundance quantification in ppm*m, converted release rates in g/s, per-inspection detection-limit models c…
What data does Exosens offer?
Exosens offers (Alternative, Geospatial, ESG, Sentiment) — Very large per unit and growing with each campaign: a single airborne FTIR hyperspectral inspection generates hypercubes on the order of hundreds of GB to terabytes per survey day (basis: spectrally resolved imaging radiance collected continuously at aircraft speed is inherently orders of magnitude larger per hour than point-sensor data), with per-inspection metadata, meteorological series and quality reports alongside. Cumulative archive across partner campaigns is plausibly multiple petabytes of raw cubes plus a far smaller but much more valuable layer of labelled quantified plume records..
What is Exosens's data used for?
Training hyperspectral ML models for methane plume detection and release-rate regression (hypercubes with g/s targets are among the rarest labelled datasets in emissions ML - no open equivalent exists at airborne spectral resolution); sensor and algorithm benchmarking using the vendor's own detection-limit model and experimental demonstrations as calibration references; snow-covered and cold-climate background detection models (explicitly demonstrated, relevant for northern asset owners); airborne survey planning and coverage optimisation from inspection-quality statistics; operator-level emissions inventory and Scope 1 reconciliation; independent third-party measurement for regulatory methane fee/penalty exposure; labelled fine-resolution truth to validate coarse satellite methane detections.
How is Exosens's data delivered?
The data is with 10 years of history.
What does Exosens cover?
Coverage spans Europe, US, Other, UK; Space, Oil & Gas Exploration & Production; alternative, geospatial, ESG, sentiment; equities, fixed_income, commodities.
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