McKeever et al., 2025 - Google Patents
Validation and Metrics for Emissions Detection by SatelliteMcKeever et al., 2025
View PDF- Document ID
- 498425126821732734
- Author
- McKeever J
- Jervis D
- Publication year
External Links
Snippet
Detecting and quantifying greenhouse gas emissions from individual sites by satellite remote sensing has emerged as a powerful new method in recent years. As more and more players enter the field, based on a variety of technologies for both instrumentation and data …
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/39—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using tunable lasers
- G01N2021/396—Type of laser source
- G01N2021/399—Diode laser
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/47—Scattering, i.e. diffuse reflection
- G01N21/49—Scattering, i.e. diffuse reflection within a body or fluid
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/71—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light thermally excited
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/02—Investigating particle size or size distribution
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
- G01M11/00—Testing of optical apparatus; Testing structures by optical methods not otherwise provided for
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry
- G01J5/02—Details
- G01J5/04—Casings Mountings
- G01J5/041—Mountings in enclosures or in a particular environment
- G01J5/043—Prevention or determination of dust, smog or clogging
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11692900B2 (en) | Apparatuses and methods for anomalous gas concentration detection | |
| Young et al. | Extinction and optical depth retrievals for CALIPSO's Version 4 data release | |
| Sherwin et al. | Single-blind validation of space-based point-source detection and quantification of onshore methane emissions | |
| Cooper et al. | Methane detection and quantification in the upstream oil and gas sector: the role of satellites in emissions detection, reconciling and reporting | |
| McKeever et al. | Validation and Metrics for Emissions Detection by Satellite | |
| US8832017B2 (en) | System and method to define, validate and extract data for predictive models | |
| Adam et al. | Biomass burning events measured by lidars in EARLINET. Part I. Data analysis methodology | |
| Liu et al. | Simulations of the observation of clouds and aerosols with the Experimental Lidar in Space Equipment system | |
| Nimonkar et al. | Dependence of peculiar velocity on the host properties of the gravitational wave sources and its impact on the measurement of Hubble constant | |
| Nilson et al. | Development and evaluation of correction models for a low-cost fine particulate matter monitor | |
| Thorpe et al. | Deployment-invariant probability of detection characterization for aerial LiDAR methane detection | |
| Chan Miller et al. | Methane retrieval from MethaneAIR using the CO 2 proxy approach: a demonstration for the upcoming MethaneSAT mission | |
| Shaw et al. | Flaring efficiencies and NO x emission ratios measured for offshore oil and gas facilities in the North Sea | |
| Ayasse et al. | Performance and sensitivity of column-wise and pixel-wise methane retrievals for imaging spectrometers | |
| Silini et al. | Improving the prediction of the Madden–Julian Oscillation of the ECMWF model by post-processing | |
| Kuhlmann et al. | The ddeq Python library for point source quantification from remote sensing images (version 1.0) | |
| Xu et al. | Support vector machine tropical wind speed retrieval in the presence of rain for Ku-band wind scatterometry | |
| Wilensky et al. | Bayesian evidence for flux scale errors in Galactic synchrotron maps | |
| Wigle et al. | Estimation and Applications of Uncertainty in Methane Emissions Quantification Technologies: A Bayesian Approach | |
| Kolmonen et al. | Uncertainty characterization of AOD for the AATSR dual and single view retrieval algorithms | |
| Karoumpis et al. | [CII] line intensity mapping the epoch of reionization with the Prime-Cam on FYST-II. CO foreground masking based on an external catalog | |
| Ramirez-Espinosa et al. | Improving data quality of low-cost light-scattering pm sensors: Toward automatic air quality monitoring in urban environments | |
| Tsekeri et al. | Combined sun-photometer/lidar inversion: lessons learned during the EARLINET/ACTRIS COVID-19 Campaign | |
| MacMullin et al. | Measurement-based emissions assessment and reduction through accelerated detection and repair of large leaks in a gas distribution network | |
| Lavigne et al. | Experimental and theoretical studies of the aureole about a point source that is due to atmospheric scattering in the middle ultraviolet |