- Aerosol optical depth attribution to industrial sources — Satellite sensors retrieve columnar aerosol loading daily over industrial clusters, but attributing persistent AOD anomalies to specific facilities requires multi-angle retrieval, wind-field analysis, and honest acknowledgement of what AOD alone cannot tell you about particle type.
- Perfluorocarbon emission detection at aluminium smelters — Anode effects in aluminium electrolysis cells emit CF4 and C2F6, gases with atmospheric lifetimes exceeding 10,000 years. Thermal infrared sounders aboard MetOp and Aqua can detect column enhancements above the largest smelter clusters, though only at the upper end of the emission scale.
- Ammonia point-source detection above livestock and fertiliser facilities — Thermal infrared hyperspectral sounders can resolve concentrated NH3 plumes above intensive farms and urea-application events. This page explains what IASI, CrIS, TROPOMI and EMIT actually measure, where the method breaks down, and what a regulator can do with the output.
- Benzene column retrieval above petrochemical and coking facilities — Benzene is a Group 1 carcinogen regulated under most national air-quality frameworks, yet routine satellite monitoring remains constrained by signal-to-noise limits. This page covers what TROPOMI, EMIT and airborne sensors can and cannot currently resolve.
- Trace gas attribution to biomass burning versus industrial combustion — CO, NO2, and aerosols pour from both burning forests and industrial stacks, but their ratios, spatial patterns, and co-emitted tracers differ enough to separate the sources when you read the data carefully.
- Black carbon and soot plume mapping from industrial combustion sources — Black carbon from coking plants, steel mills and open industrial fires carries a distinct absorbing-aerosol signature that satellite retrievals can separate from scattering dust, turning a physics difference into an attribution tool for regulators.
- Cement plant fugitive dust and kiln plume mapping from optical data — Cement production leaves optical fingerprints: kiln plumes alter aerosol columns, and fugitive dust changes surface reflectance around plant perimeters. Sentinel-2, Landsat 8/9 and MODIS MAIAC together make those fingerprints legible, within honest resolution limits.
- Chlorine gas plume detection from industrial accidents — IASI and CrIS sounders have retrieved Cl2 and HCl columns above large industrial chlorine releases, but rapid atmospheric dilution means the detection window is narrow and the minimum detectable mass is high. This page sets out what the public record shows, where the physics limits retrieval, and how geostationary infrared sounders could close the timing gap.
- Carbon monoxide plume tracking from industrial fires and accidents — Tropospheric CO columns retrieved from TROPOMI, IASI and MOPITT let analysts trace pollution plumes from industrial fires and chemical accidents across hundreds of kilometres within 24 to 48 hours. This page explains the physics, the sensors, and the honest limits of what orbit can and cannot see.
- XCO2 anomaly detection above fossil fuel facilities — Detecting CO2 plumes from power stations and industrial sites via satellite is possible but genuinely difficult: a 1,000 MW coal plant lifts the local column by perhaps 1–3 ppm against a 420 ppm background, demanding sub-ppm retrieval precision and careful error budgeting.
- Coal mine methane detection from ventilation shaft emissions — Underground coal mines emit methane through surface ventilation shafts around the clock, making them tractable point sources for spaceborne SWIR spectrometers. Detection is real but constrained by shaft arrays that dilute flux below single-pass thresholds.
- Coal power plant activity inference from multi-signal fusion — No single satellite band confirms a coal plant's output. Combining TROPOMI NO2 columns, VIIRS thermal anomalies, and Sentinel-2 plume opacity builds a probabilistic activity index that is honest about its own gaps.
- Industrial cooling tower water vapour plume mapping for facility activity inference — Wet cooling towers at power stations emit visible water vapour plumes whose size and persistence betray thermal load and generation output. High-resolution optical imagery, normalised against meteorological reanalysis, turns those plumes into an activity signal even when thermal infrared retrievals fail under cloud.
- Fugitive dust emission mapping at open-pit mines and quarries — Open-pit mines generate fugitive dust plumes detectable in multispectral and aerosol-retrieval data. This page explains how MODIS MAIAC AOD, Sentinel-2 surface reflectance, and TROPOMI aerosol index combine to map plume extent, frequency, and emission loading at active mine sites.
- Ethylene oxide emission detection at sterilisation and chemical plants — Ethylene oxide is a regulated carcinogen with a clear infrared spectral signature, yet space-based detection remains at the frontier of what published sounder science can demonstrate. This page explains what IASI and CrIS can and cannot do, and what future sensors would need to achieve facility-scale compliance monitoring.
- Hydrogen sulphide detection above wastewater treatment and industrial lagoons — Thermal infrared sounders can detect large H2S plumes from industrial accidents, but the detection floor sits far above routine facility emissions. This page explains the retrieval physics, current limits, and what next-generation hyperspectral sensors may change.
- Iron and steel plant emission fingerprinting via co-emitted NO2 and CO columns — Blast furnace and basic oxygen furnace operations produce a co-emission ratio of NO2 to CO that is physically distinct from power stations or traffic. TROPOMI and MOPITT column retrievals, cross-checked against Sentinel-2 facility imagery, can fingerprint integrated steelworks and separate them from electric arc furnace plants.
- Landfill leachate pond extent and contamination mapping from multispectral data — Multispectral and SAR data can map leachate pond extent, track post-rainfall expansion, and flag subsurface migration at active and closed landfills, giving regulators a timestamped record that ground visits alone cannot provide.
- Mercury emission proxy mapping at coal and chlor-alkali facilities — No operational satellite retrieves atmospheric mercury directly, but TROPOMI's daily SO2 and NO2 columns expose the combustion and process activity that drives mercury release at coal plants and chlor-alkali facilities.
- Fugitive methane detection at municipal landfills — Municipal landfills are among the most variable methane sources on Earth, with emissions spiking episodically and mixing point-source leaks with diffuse surface flux. Satellite retrievals must overcome heterogeneous waste-surface emissivity before a plume rate means anything.
- Methane point-source attribution from orbit — Satellite spectrometers now detect discrete methane plumes from oil and gas infrastructure, landfills, and coal mines. Resolution and detection floors vary sharply between sensors, and choosing the wrong one produces false assurance.
- Mine tailings and acid rock drainage mapping from spectral data — Iron-sulphate and iron-hydroxide minerals produced by acid mine drainage carry diagnostic spectral signatures that satellite sensors can read from orbit. Hyperspectral instruments resolve individual mineral species; multispectral sensors map gross contamination zones. Neither replaces field sampling, but both catch what ground inspection misses.
- Traffic-related NO2 hotspot mapping in urban corridors — TROPOMI's tropospheric NO2 columns are too coarse to name a junction, but multi-year temporal averaging and land-use regression can push actionable hotspot maps below one kilometre. Here is what the method can and cannot promise.
- Nitrous oxide flux mapping above fertilised agricultural fields — Soil nitrification and denitrification after synthetic nitrogen application produce N2O pulses detectable in TROPOMI column retrievals. Regional flux anomalies can be correlated with fertiliser calendars derived from Sentinel-2 crop-stage mapping, though field-level attribution remains beyond current instrument precision.
- NO2 column mapping over industrial facilities — Tropospheric NO2 columns retrieved from TROPOMI and OMI can fingerprint persistent emission enhancements above named power stations, smelters, and industrial clusters. Multi-year composites resolve facility-level signals at 3.5 × 5.5 km, with honest caveats on cloud screening and air-mass factor uncertainty.
- Unlit methane venting detection at offshore oil and gas platforms — Routine unlit venting leaves no thermal signal, hiding it from flaring inventories. Combining TROPOMI methane columns, Sentinel-1 platform catalogues, and ERA5 wind fields exposes it.
- Oil spill thickness and type estimation from optical sensors — SAR finds the spill; optical hyperspectral data tells you what kind of oil it is and, within limits, how thick. PRISMA and DESIS can separate crude, weathered oil, and water-in-oil emulsions that look identical in broadband imagery.
- Oil spill detection and extent mapping with SAR — Synthetic aperture radar detects surface oil by the backscatter suppression it causes on centimetre-scale ocean waves. Sentinel-1 is the operational standard, but false positives from biogenic films and wind shadows demand careful contextual analysis.
- Ground-level ozone precursor attribution to industrial emission clusters — Tropospheric ozone forms from NOx and VOC reactions, not direct emission. Attributing surface ozone episodes to specific industrial clusters requires combining TROPOMI NO2 and HCHO column retrievals with air-mass trajectory modelling, and the method has real resolution limits worth understanding before commissioning work.
- Smouldering peat fire trace gas mapping from thermal and atmospheric sensors — Smouldering peat emits CO and CH4 at ratios that betray its origin, yet MODIS and VIIRS active-fire counts routinely miss it. TROPOMI and Sentinel-3 SLSTR close that gap, with caveats.
- Secondary pollution mapping via peroxyacetyl nitrate column retrieval — Peroxyacetyl nitrate forms when NOx and VOCs react in sunlight, then drifts far downwind before decomposing into ozone precursors. Thermal infrared sounders can retrieve PAN columns globally, linking distant ozone episodes to specific industrial corridors.
- Floating plastic and marine debris detection from orbit — Satellite sensors can detect dense floating debris aggregations using spectral indices derived from Sentinel-2 and hyperspectral data, but reliable discrimination from Sargassum, foam, and pumice at the pixel level remains an open research problem.
- Methane detection above produced-water evaporation ponds in oil fields — Produced-water evaporation ponds degas dissolved methane continuously yet rarely appear in facility emission inventories. GHGSat high-resolution SWIR retrievals and TROPOMI column enhancements can identify active ponds, though co-located tank and compressor sources complicate attribution.
- Hydrofluorocarbon refrigerant leak detection from atmospheric column retrievals — High-spectral-resolution thermal infrared sounders can detect column enhancements of HFC-134a and HFC-23 above individual industrial facilities, turning atmospheric physics into an enforcement tool for the Kigali Amendment.
- Seasonal methane flux mapping over rice paddy agriculture — Flooded rice paddies produce methane through anaerobic decomposition, with emissions peaking mid-season. Combining Sentinel-1 inundation maps with TROPOMI column retrievals lets analysts track the seasonal flux cycle, though separating paddy signal from co-located wetlands and livestock remains genuinely hard.
- Routine gas flaring volume quantification — Satellites detect gas flares by their infrared signature and convert radiant power to estimated gas volumes. The method is independent of operator self-reporting, works globally every night, and is honest about its uncertainty floor.
- Black carbon deposition risk mapping from Arctic shipping routes — Heavy fuel oil combustion deposits black carbon on Arctic sea ice, cutting albedo and accelerating melt. TROPOMI aerosol data correlated with AIS vessel tracks can map emission density and model downwind deposition risk, though bright ice surfaces make retrieval genuinely hard.
- Open-loop scrubber washwater discharge plume detection in coastal waters — Open-loop scrubbers clean exhaust by flooding it with seawater, then discharge that acidic, PAH-laden washwater overboard. Sentinel-2 coastal and blue bands, fused with AIS tracks, can detect and attribute the resulting plumes in ports and restricted zones.
- NO2 and SO2 attribution to international shipping corridors — Tropospheric column retrievals from TROPOMI and OMI make shipping-lane pollution visible as persistent linear enhancements. Multi-month composites resolve major corridors and the 2020 IMO sulphur cap left a measurable SO2 signature in the satellite record.
- SO2 emissions monitoring at smelters and cement plants — UV backscatter satellites detect sulphur dioxide columns above smelters and cement kilns independently of any reported figure. TROPOMI resolves facility-scale plumes daily, and wind-field integration converts those columns into source-rate estimates regulators can act on.
- SF6 emission detection at high-voltage electrical substations — Sulphur hexafluoride leaks from high-voltage switchgear carry a global warming potential ~23,500× CO2. Thermal infrared sounders can detect SF6 column enhancements at the district scale, though single-facility attribution remains beyond current thresholds.
- Illegal waste burning and field-fire detection via thermal anomaly — Mid-infrared brightness temperature exceedances betray unauthorised combustion events from orbit, but separating illegal waste fires from permitted agricultural burns demands land-cover context that spectral data alone cannot supply.
- Thermal discharge plume mapping from power plant cooling water — Once-through cooling systems return water 3–10 °C above ambient, leaving a thermal signature that satellite infrared sensors can track across time. Multi-temporal stacking of Landsat TIRS and MODIS data distinguishes chronic discharge from seasonal variation and quantifies plume extent with honest resolution limits.
- Volatile organic compound plume mapping at petroleum refineries — TROPOMI and OMI HCHO column retrievals expose VOC emission intensity above refinery complexes, but biogenic background and coarse pixels demand careful interpretation. Wind-field integration converts column anomalies into flux estimates regulators can act on.
- Natural wetland methane flux estimation via atmospheric inversion — Natural wetlands emit more methane than all fossil fuel sources combined, yet their fluxes remain poorly constrained. Top-down atmospheric inversion using GOSAT and TROPOMI column data, anchored by Sentinel-1 inundation mapping, is closing that gap.