100 citations as recorded by crossref.

1. Matched Filter Based on the Radiative Transfer Model for CO2 Estimation From PRISMA Hyperspectral Data N. Acito et al. 10.1109/TGRS.2023.3327756
2. Fusion of Mobile In situ and Satellite Remote Sensing Observations of Chemical Release Emissions to Improve Disaster Response I. Leifer et al. 10.3389/fenvs.2016.00059
3. Airborne methane remote measurements reveal heavy-tail flux distribution in Four Corners region C. Frankenberg et al. 10.1073/pnas.1605617113
4. Using mobile surface in situ and remote sensing and airborne remote sensing to derive emissions from a producing central California oil field in complex terrain I. Leifer & C. Melton 10.1016/j.apr.2021.101145
5. Mapping methane point emissions with the PRISMA spaceborne imaging spectrometer L. Guanter et al. 10.1016/j.rse.2021.112671
6. Detection and quantification of CH<sub>4</sub> plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data J. Borchardt et al. 10.5194/amt-14-1267-2021
7. An overview of ABoVE airborne campaign data acquisitions and science opportunities C. Miller et al. 10.1088/1748-9326/ab0d44
8. A unified approach to estimate land and water reflectances with uncertainties for coastal imaging spectroscopy D. Thompson et al. 10.1016/j.rse.2019.05.017
9. Comparison of Methane Detection Using Shortwave and Longwave Infrared Hyperspectral Sensors Under Varying Environmental Conditions L. Zimmerman & J. Kerekes 10.1109/JSTARS.2023.3247246
10. Airborne DOAS retrievals of methane, carbon dioxide, and water vapor concentrations at high spatial resolution: application to AVIRIS-NG A. Thorpe et al. 10.5194/amt-10-3833-2017
11. Do beaver ponds increase methane emissions along Arctic tundra streams? J. Clark et al. 10.1088/1748-9326/acde8e
12. Space‐based remote imaging spectroscopy of the Aliso Canyon CH4 superemitter D. Thompson et al. 10.1002/2016GL069079
13. Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane D. Jacob et al. 10.5194/acp-22-9617-2022
14. Absorptive Weak Plume Detection on Gaussian and Non-Gaussian Background Clutter J. Theiler 10.1109/JSTARS.2021.3093820
15. Tundra fire increases the likelihood of methane hotspot formation in the Yukon–Kuskokwim Delta, Alaska, USA E. Yoseph et al. 10.1088/1748-9326/acf50b
16. Sensitivity and Uncertainty in Matched-Filter-Based Gas Detection With Imaging Spectroscopy J. Fahlen et al. 10.1109/TGRS.2024.3440174
17. Potential of Spaceborne Lidar Measurements of Carbon Dioxide and Methane Emissions from Strong Point Sources C. Kiemle et al. 10.3390/rs9111137
18. Joint Use of in-Scene Background Radiance Estimation and Optimal Estimation Methods for Quantifying Methane Emissions Using PRISMA Hyperspectral Satellite Data: Application to the Korpezhe Industrial Site N. Nesme et al. 10.3390/rs13244992
19. Spectrometric imaging of sub-hourly methane emission dynamics from coal mine ventilation M. Knapp et al. 10.1088/1748-9326/acc346
20. Evaluating the effects of surface properties on methane retrievals using a synthetic airborne visible/infrared imaging spectrometer next generation (AVIRIS-NG) image A. Ayasse et al. 10.1016/j.rse.2018.06.018
21. Validation of mobile in situ measurements of dairy husbandry emissions by fusion of airborne/surface remote sensing with seasonal context from the Chino Dairy Complex I. Leifer et al. 10.1016/j.envpol.2018.03.078
22. Interpreting contemporary trends in atmospheric methane A. Turner et al. 10.1073/pnas.1814297116
23. An evaluation of airborne SWIR imaging spectrometers for CH4 mapping: Implications of band positioning, spectral sampling and noise R. Scafutto et al. 10.1016/j.jag.2020.102233
24. Air pollution inputs to the Mojave Desert by fusing surface mobile and airborne in situ and airborne and satellite remote sensing: A case study of interbasin transport with numerical model validation I. Leifer et al. 10.1016/j.atmosenv.2019.117184
25. Detection of multi absorption lines for CH4 using broadband laser beam modulation S. Al-Jalali & M. Sayem El-Daher 10.1007/s12596-017-0442-x
26. Design and characterization of specMACS, a multipurpose hyperspectral cloud and sky imager F. Ewald et al. 10.5194/amt-9-2015-2016
27. Methane emissions decline from reduced oil, natural gas, and refinery production during COVID-19 A. Thorpe et al. 10.1088/2515-7620/acb5e5
28. Impact of scene-specific enhancement spectra on matched filter greenhouse gas retrievals from imaging spectroscopy M. Foote et al. 10.1016/j.rse.2021.112574
29. Quantitative imaging of carbon dioxide plumes using a ground-based shortwave infrared spectral camera M. Knapp et al. 10.5194/amt-17-2257-2024
30. Optimal estimation for imaging spectrometer atmospheric correction D. Thompson et al. 10.1016/j.rse.2018.07.003
31. PRISMethaNet: A novel deep learning model for landfill methane detection using PRISMA satellite data M. Marjani et al. 10.1016/j.isprsjprs.2024.10.003
32. Towards spaceborne monitoring of localized CO<sub>2</sub> emissions: an instrument concept and first performance assessment J. Strandgren et al. 10.5194/amt-13-2887-2020
33. Investigation of spectral bands and sensor parameters for methane emission detection imaging spectrometer H. Varchand et al. 10.1016/j.jqsrt.2024.109100
34. Improving Methane Point Sources Detection Over Heterogeneous Land Surface for Satellite Hyperspectral Imagery E. Sun et al. 10.1109/JSTARS.2024.3482278
35. Exploiting the entire near-infrared spectral range to improve the detection of methane plumes with high-resolution imaging spectrometers J. Roger et al. 10.5194/amt-17-1333-2024
36. High-resolution satellite estimates of coal mine methane emissions from local to regional scales in Shanxi, China S. Bai et al. 10.1016/j.scitotenv.2024.175446
37. Towards accurate methane point-source quantification from high-resolution 2-D plume imagery S. Jongaramrungruang et al. 10.5194/amt-12-6667-2019
38. Characterizing Methane Emission Hotspots From Thawing Permafrost C. Elder et al. 10.1029/2020GB006922
39. Effects of Atmospheric, Topographic, and BRDF Correction on Imaging Spectroscopy-Derived Data Products M. Vögtli et al. 10.1109/JSTARS.2023.3325926
40. Long-term atmospheric emissions for the Coal Oil Point natural marine hydrocarbon seep field, offshore California I. Leifer et al. 10.5194/acp-21-17607-2021
41. Challenges in Methane Column Retrievals from AVIRIS-NG Imagery over Spectrally Cluttered Surfaces: A Sensitivity Analysis M. Zhang et al. 10.3390/rs9080835
42. Methane emissions from underground gas storage in California A. Thorpe et al. 10.1088/1748-9326/ab751d
43. Imaging Spectroscopy for the Detection, Assessment and Monitoring of Natural and Anthropogenic Hazards C. Ong et al. 10.1007/s10712-019-09523-1
44. Methane Mapping with Future Satellite Imaging Spectrometers A. Ayasse et al. 10.3390/rs11243054
45. Attribution of methane point source emissions using airborne imaging spectroscopy and the Vista-California methane infrastructure dataset T. Rafiq et al. 10.1088/1748-9326/ab9af8
46. GreenHouse gas Observations of the Stratosphere and Troposphere (GHOST): an airborne shortwave-infrared spectrometer for remote sensing of greenhouse gases N. Humpage et al. 10.5194/amt-11-5199-2018
47. Satellite remote sensing of ecosystem functions: opportunities, challenges and way forward N. Pettorelli et al. 10.1002/rse2.59
48. Application of airborne and spaceborne hyperspectral imaging techniques for atmospheric research: past, present, and future M. Calin et al. 10.1080/05704928.2020.1774381
49. Towards Supporting Satellite Design Through the Top-Down Approach: A General Model for Assessing the Ability of Future Satellite Missions to Quantify Point Source Emissions L. Yao et al. 10.3390/rs16234503
50. Quantifying the impact of aerosol scattering on the retrieval of methane from airborne remote sensing measurements Y. Huang et al. 10.5194/amt-13-6755-2020
51. Status and application of advanced airborne hyperspectral imaging technology: A review J. Jia et al. 10.1016/j.infrared.2019.103115
52. 煤炭行业甲烷排放卫星遥感研究进展与展望 秦. Qin Kai et al. 10.3788/AOS231293
53. Spectral Fidelity of Earth's Terrestrial and Aquatic Ecosystems D. Thompson et al. 10.1029/2021JG006273
54. Satellite-based survey of extreme methane emissions in the Permian basin I. Irakulis-Loitxate et al. 10.1126/sciadv.abf4507
55. Atmospheric Methane Retrieval Based on Back Propagation Neural Network and Simulated AVIRIS-NG Data Y. Huang et al. 10.1109/LGRS.2024.3379119
56. Atmospheric characterization through fused mobile airborne and surface in situ surveys: methane emissions quantification from a producing oil field I. Leifer et al. 10.5194/amt-11-1689-2018
57. A review of close-range and screening technologies for mitigating fugitive methane emissions in upstream oil and gas T. Fox et al. 10.1088/1748-9326/ab0cc3
58. Spectral and Radiometric Calibration of the Next Generation Airborne Visible Infrared Spectrometer (AVIRIS-NG) J. Chapman et al. 10.3390/rs11182129
59. Remote sensing and in situ measurements of methane and ammonia emissions from a megacity dairy complex: Chino, CA I. Leifer et al. 10.1016/j.envpol.2016.09.083
60. Detecting Methane Emissions from Space Over India: Analysis Using EMIT and Sentinel-5P TROPOMI Datasets A. Siddiqui et al. 10.1007/s12524-024-01925-y
61. Performance and sensitivity of column-wise and pixel-wise methane retrievals for imaging spectrometers A. Ayasse et al. 10.5194/amt-16-6065-2023
62. Tracking and quantification of gaseous chemical plumes from anthropogenic emission sources within the Los Angeles Basin K. Buckland et al. 10.1016/j.rse.2017.09.012
63. MethaNet – An AI-driven approach to quantifying methane point-source emission from high-resolution 2-D plume imagery S. Jongaramrungruang et al. 10.1016/j.rse.2021.112809
64. Methane emissions from a Californian landfill, determined from airborne remote sensing and in situ measurements S. Krautwurst et al. 10.5194/amt-10-3429-2017
65. High spatial resolution imaging of methane and other trace gases with the airborne Hyperspectral Thermal Emission Spectrometer (HyTES) G. Hulley et al. 10.5194/amt-9-2393-2016
66. Airborne remote sensing and in situ measurements of atmospheric CO<sub>2</sub> to quantify point source emissions T. Krings et al. 10.5194/amt-11-721-2018
67. Geomorphological patterns of remotely sensed methane hot spots in the Mackenzie Delta, Canada L. Baskaran et al. 10.1088/1748-9326/ac41fb
68. Influence of turbulent Schmidt number on fugitive emissions source quantification C. Brereton et al. 10.1016/j.aeaoa.2020.100083
69. Fast and Accurate Retrieval of Methane Concentration From Imaging Spectrometer Data Using Sparsity Prior M. Foote et al. 10.1109/TGRS.2020.2976888
70. Improved methane emission estimates using AVIRIS-NG and an Airborne Doppler Wind Lidar A. Thorpe et al. 10.1016/j.rse.2021.112681
71. Air quality trends for the ports of Los Angeles and Long Beach spanning the covid19 crisis: Part 1. Oxidant pollutants I. Leifer et al. 10.1016/j.atmosenv.2023.119949
72. Airborne Mapping Reveals Emergent Power Law of Arctic Methane Emissions C. Elder et al. 10.1029/2019GL085707
73. A large airborne survey of Earth’s visible-infrared spectral dimensionality D. Thompson et al. 10.1364/OE.25.009186
74. Self-Organizing Maps for Clustering Hyperspectral Images On-Board a CubeSat A. Danielsen et al. 10.3390/rs13204174
75. Exploiting the Matched Filter to Improve the Detection of Methane Plumes with Sentinel-2 Data H. Wang et al. 10.3390/rs16061023
76. Robust and Reconfigurable On-Board Processing for a Hyperspectral Imaging Small Satellite D. Langer et al. 10.3390/rs15153756
77. Airborne Trace Gas Remote Sensing and Surface Mobile In Situ: A Novel Tool for the Study of Structural Geological Controls from a Producing Oil Field I. Leifer et al. 10.2118/209799-PA
78. High-Resolution Methane Mapping With the EnMAP Satellite Imaging Spectroscopy Mission J. Roger et al. 10.1109/TGRS.2024.3352403
79. Validation of in situ and remote sensing-derived methane refinery emissions in a complex wind environment and chemical implications I. Leifer et al. 10.1016/j.atmosenv.2021.118900
80. Imaging spectrometer stray spectral response: In-flight characterization, correction, and validation D. Thompson et al. 10.1016/j.rse.2017.09.015
81. Satellite observations of atmospheric methane and their value for quantifying methane emissions D. Jacob et al. 10.5194/acp-16-14371-2016
82. Estimating exposure to hydrogen sulfide from animal husbandry operations using satellite ammonia as a proxy: Methodology demonstration I. Leifer et al. 10.1016/j.scitotenv.2019.134508
83. Methane retrievals from airborne HySpex observations in the shortwave infrared P. Hochstaffl et al. 10.5194/amt-16-4195-2023
84. Reduced Methane Emissions from Santa Barbara Marine Seeps T. Krings et al. 10.3390/rs9111162
85. Mapping methane concentrations from a controlled release experiment using the next generation airborne visible/infrared imaging spectrometer (AVIRIS-NG) A. Thorpe et al. 10.1016/j.rse.2016.03.032
86. A laser spectroscopy based method for the detection of acidic compounds in solution G. Petriashvili et al. 10.1016/j.snb.2017.01.066
87. Attribution of individual methane and carbon dioxide emission sources using EMIT observations from space A. Thorpe et al. 10.1126/sciadv.adh2391
88. Robust probabilities of detection and quantification uncertainty for aerial methane detection: Examples for three airborne technologies B. Conrad et al. 10.1016/j.rse.2023.113499
89. Fugitive emission source characterization using a gradient-based optimization scheme and scalar transport adjoint C. Brereton et al. 10.1016/j.atmosenv.2018.02.014
90. Increasing of Spectral Resolution of Multislit Imaging Spectrometer with Diffractive Grating I. Gulis & A. Kupreyeu 10.21122/2220-9506-2018-9-4-296-305
91. Detecting the Sources of Methane Emission from Oil Shale Mining and Processing Using Airborne Hyperspectral Data C. Xiao et al. 10.3390/rs12030537
92. Quantifying methane point sources from fine-scale satellite observations of atmospheric methane plumes D. Varon et al. 10.5194/amt-11-5673-2018
93. Longwave Infrared Hyperspectral Imaging: Principles, Progress, and Challenges D. Manolakis et al. 10.1109/MGRS.2018.2889610
94. Benchmarking Space Mission Applications on the Snapdragon Processor Onboard the ISS J. Swope et al. 10.2514/1.I011217
95. California’s methane super-emitters R. Duren et al. 10.1038/s41586-019-1720-3
96. Retrieval of Atmospheric Parameters and Surface Reflectance from Visible and Shortwave Infrared Imaging Spectroscopy Data D. Thompson et al. 10.1007/s10712-018-9488-9
97. Identification of plants responding to natural gas microleakage stress using solar-induced chlorophyll fluorescence W. Wang et al. 10.1117/1.JRS.13.034531
98. Improving quantification of methane point source emissions from imaging spectroscopy Z. Pei et al. 10.1016/j.rse.2023.113652
99. Estimation of molecular column density of methane (XCH4) using AVIRIS-NG data M. Pathakoti 10.1117/1.JRS.12.046005
100. Computationally efficient quantification of unknown fugitive emissions sources C. Brereton et al. 10.1016/j.aeaoa.2019.100035