Matsumi, Y.[Yutaka],
Hidemori, T.[Takahiro],
Nakayama, T.[Tomoki],
Imasu, R.[Ryoichi],
Dhaka, S.K.[Surendra Kumar],
Measuring methane with a simple open-path gas sensor,
SPIE(Newsroom), January 27, 2016
DOI Link
1602
A near-IR laser spectroscopic technique enables continuous in situ
measurements of methane emissions in rural northern India.
BibRef
Zhang, M.W.[Min-Wei],
Leifer, I.[Ira],
Hu, C.M.[Chuan-Min],
Challenges in Methane Column Retrievals from AVIRIS-NG Imagery over
Spectrally Cluttered Surfaces: A Sensitivity Analysis,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Emran, B.J.[Bara J.],
Tannant, D.D.[Dwayne D.],
Najjaran, H.[Homayoun],
Low-Altitude Aerial Methane Concentration Mapping,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Ehret, G.[Gerhard],
Bousquet, P.[Philippe],
Pierangelo, C.[Clémence],
Alpers, M.[Matthias],
Millet, B.[Bruno],
Abshire, J.B.[James B.],
Bovensmann, H.[Heinrich],
Burrows, J.P.[John P.],
Chevallier, F.[Frédéric],
Ciais, P.[Philippe],
Crevoisier, C.[Cyril],
Fix, A.[Andreas],
Flamant, P.[Pierre],
Frankenberg, C.[Christian],
Gibert, F.[Fabien],
Heim, B.[Birgit],
Heimann, M.[Martin],
Houweling, S.[Sander],
Hubberten, H.W.[Hans W.],
Jöckel, P.[Patrick],
Law, K.[Kathy],
Löw, A.[Alexander],
Marshall, J.[Julia],
Agusti-Panareda, A.[Anna],
Payan, S.[Sebastien],
Prigent, C.[Catherine],
Rairoux, P.[Patrick],
Sachs, T.[Torsten],
Scholze, M.[Marko],
Wirth, M.[Martin],
MERLIN: A French-German Space Lidar Mission Dedicated to Atmospheric
Methane,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Weidmann, D.[Damien],
Hoffmann, A.[Alex],
Macleod, N.[Neil],
Middleton, K.[Kevin],
Kurtz, J.[Joe],
Barraclough, S.[Simon],
Griffin, D.[Doug],
The Methane Isotopologues by Solar Occultation (MISO) Nanosatellite
Mission: Spectral Channel Optimization and Early Performance Analysis,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Janardanan, R.[Rajesh],
Maksyutov, S.[Shamil],
Ito, A.[Akihiko],
Yukio, Y.[Yoshida],
Matsunaga, T.[Tsuneo],
Assessment of Anthropogenic Methane Emissions over Large Regions
Based on GOSAT Observations and High Resolution Transport Modeling,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Innocenti, F.[Fabrizio],
Robinson, R.[Rod],
Gardiner, T.[Tom],
Finlayson, A.[Andrew],
Connor, A.[Andy],
Differential Absorption Lidar (DIAL) Measurements of Landfill Methane
Emissions,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Gardiner, T.[Tom],
Helmore, J.[Jon],
Innocenti, F.[Fabrizio],
Robinson, R.[Rod],
Field Validation of Remote Sensing Methane Emission Measurements,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Krings, T.[Thomas],
Leifer, I.[Ira],
Krautwurst, S.[Sven],
Gerilowski, K.[Konstantin],
Horstjann, M.[Markus],
Bovensmann, H.[Heinrich],
Buchwitz, M.[Michael],
Burrows, J.P.[John P.],
Kolyer, R.W.[Richard W.],
Jonsson, H.H.[Haflidi H.],
Fladeland, M.M.[Matthew M.],
Reduced Methane Emissions from Santa Barbara Marine Seeps,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link
1712
BibRef
Park, J.S.[Jun-Sung],
Lee, H.[Hanlim],
Kim, J.[Jhoon],
Herman, J.[Jay],
Kim, W.[Woogyung],
Hong, H.[Hyunkee],
Choi, W.[Wonei],
Yang, J.[Jiwon],
Kim, D.W.[Dae-Won],
Retrieval Accuracy of HCHO Vertical Column Density from Ground-Based
Direct-Sun Measurement and First HCHO Column Measurement Using
Pandora,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Liu, W.,
Cao, S.,
Jin, Z.,
Wang, Z.,
Chen, Y.,
A Novel Hydrocarbon Detection Approach via High-Resolution
Frequency-Dependent AVO Inversion Based on Variational Mode
Decomposition,
GeoRS(56), No. 4, April 2018, pp. 2007-2024.
IEEE DOI
1804
Bandwidth, Continuous wavelet transforms, Dispersion,
Frequency estimation, Hydrocarbons, Signal resolution,
variational mode decomposition (VMD)
BibRef
Scafutto, R.D.P.M.[Rebecca Del Papa Moreira],
de Souza Filho, C.R.[Carlos Roberto],
Detection of Methane Plumes Using Airborne Midwave Infrared (3-5 µm)
Hyperspectral Data,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
Arai, H.[Hironori],
Takeuchi, W.[Wataru],
Oyoshi, K.[Kei],
Nguyen, L.D.[Lam Dao],
Inubushi, K.[Kazuyuki],
Estimation of Methane Emissions from Rice Paddies in the Mekong Delta
Based on Land Surface Dynamics Characterization with Remote Sensing,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Sun, Y.[Youwen],
Liu, C.[Cheng],
Chan, K.[Kalok],
Wang, W.[Wei],
Shan, C.[Changong],
Hu, Q.H.[Qi-Hou],
Liu, J.G.[Jian-Guo],
The Influence of Instrumental Line Shape Degradation on the Partial
Columns of O3, CO, CH4 and N2O Derived from High-Resolution FTIR
Spectrometry,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Wang, Y.P.[Ya-Peng],
Wang, Z.F.[Zi-Feng],
Yu, C.[Chao],
Zhu, S.Y.[Song-Yan],
Cheng, L.X.[Liang-Xiao],
Zhang, Y.[Ying],
Chen, L.F.[Liang-Fu],
Validation of OMI HCHO Products Using MAX-DOAS observations from 2010
to 2016 in Xianghe, Beijing: Investigation of the Effects of Aerosols
on Satellite Products,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Wu, X.D.[Xiao-Di],
Zhang, X.[Xiuying],
Chuai, X.W.[Xiao-Wei],
Huang, X.J.[Xian-Jin],
Wang, Z.[Zhen],
Long-Term Trends of Atmospheric CH4 Concentration across China from
2002 to 2016,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Lindgren, P.[Prajna],
Grosse, G.[Guido],
Meyer, F.J.[Franz J.],
Anthony, K.W.[Katey Walter],
An Object-Based Classification Method to Detect Methane Ebullition
Bubbles in Early Winter Lake Ice,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Kivimäki, E.[Ella],
Lindqvist, H.[Hannakaisa],
Hakkarainen, J.[Janne],
Laine, M.[Marko],
Sussmann, R.[Ralf],
Tsuruta, A.[Aki],
Detmers, R.[Rob],
Deutscher, N.M.[Nicholas M.],
Dlugokencky, E.J.[Edward J.],
Hase, F.[Frank],
Hasekamp, O.[Otto],
Kivi, R.[Rigel],
Morino, I.[Isamu],
Notholt, J.[Justus],
Pollard, D.F.[David F.],
Roehl, C.[Coleen],
Schneider, M.[Matthias],
Sha, M.K.[Mahesh Kumar],
Velazco, V.A.[Voltaire A.],
Warneke, T.[Thorsten],
Wunch, D.[Debra],
Yoshida, Y.[Yukio],
Tamminen, J.[Johanna],
Evaluation and Analysis of the Seasonal Cycle and Variability of the
Trend from GOSAT Methane Retrievals,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Zou, M.M.[Ming-Min],
Xiong, X.Z.[Xiao-Zhen],
Wu, Z.H.[Zhao-Hua],
Li, S.S.[Shen-Shen],
Zhang, Y.[Ying],
Chen, L.F.[Liang-Fu],
Increase of Atmospheric Methane Observed from Space-Borne and
Ground-Based Measurements,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Floridia, C.[Claudio],
Rosolem, J.B.[Joao Batista],
Fracarolli, J.P.V.[Joăo Paulo Vicentini],
Bassan, F.R.[Fábio Renato],
Penze, R.S.[Rivael Strobel],
Pereira, L.M.[Larissa Maria],
da Motta Resende, M.A.C.[Maria Angélica Carmona],
Evaluation of Environmental Influences on a Multi-Point Optical Fiber
Methane Leak Monitoring System,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link
1906
BibRef
Javed, Z.[Zeeshan],
Liu, C.[Cheng],
Khokhar, M.F.[Muhammad Fahim],
Tan, W.[Wei],
Liu, H.R.[Hao-Ran],
Xing, C.Z.[Cheng-Zhi],
Ji, X.G.[Xiang-Guang],
Tanvir, A.[Aimon],
Hong, Q.Q.[Qian-Qian],
Sandhu, O.[Osama],
Rehman, A.[Abdul],
Ground-Based MAX-DOAS Observations of CHOCHO and HCHO in Beijing and
Baoding, China,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link
1907
BibRef
Wang, F.[Fenjuan],
Maksyutov, S.[Shamil],
Tsuruta, A.[Aki],
Janardanan, R.[Rajesh],
Ito, A.[Akihiko],
Sasakawa, M.[Motoki],
Machida, T.[Toshinobu],
Morino, I.[Isamu],
Yoshida, Y.[Yukio],
Kaiser, J.W.[Johannes W.],
Janssens-Maenhout, G.[Greet],
Dlugokencky, E.J.[Edward J.],
Mammarella, I.[Ivan],
Lavric, J.V.[Jost Valentin],
Matsunaga, T.[Tsuneo],
Methane Emission Estimates by the Global High-Resolution Inverse
Model Using National Inventories,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link
1911
BibRef
Janardanan, R.[Rajesh],
Maksyutov, S.[Shamil],
Tsuruta, A.[Aki],
Wang, F.[Fenjuan],
Tiwari, Y.K.[Yogesh K.],
Valsala, V.[Vinu],
Ito, A.[Akihiko],
Yoshida, Y.[Yukio],
Kaiser, J.W.[Johannes W.],
Janssens-Maenhout, G.[Greet],
Arshinov, M.[Mikhail],
Sasakawa, M.[Motoki],
Tohjima, Y.[Yasunori],
Worthy, D.E.J.[Douglas E. J.],
Dlugokencky, E.J.[Edward J.],
Ramonet, M.[Michel],
Arduini, J.[Jgor],
Lavric, J.V.[Jost V.],
Piacentino, S.[Salvatore],
Krummel, P.B.[Paul B.],
Langenfelds, R.L.[Ray L.],
Mammarella, I.[Ivan],
Matsunaga, T.[Tsuneo],
Country-Scale Analysis of Methane Emissions with a High-Resolution
Inverse Model Using GOSAT and Surface Observations,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Ayasse, A.K.[Alana K.],
Dennison, P.E.[Philip E.],
Foote, M.[Markus],
Thorpe, A.K.[Andrew K.],
Joshi, S.[Sarang],
Green, R.O.[Robert O.],
Duren, R.M.[Riley M.],
Thompson, D.R.[David R.],
Roberts, D.A.[Dar A.],
Methane Mapping with Future Satellite Imaging Spectrometers,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Xu, C.[Chao],
Wu, M.X.[Ming-Xing],
Zhou, T.[Tian],
Li, J.H.[Jiang-Hui],
Du, W.D.[Wei-Dong],
Zhang, W.Y.[Wan-Yuan],
White, P.R.[Paul R.],
Optical Flow-Based Detection of Gas Leaks from Pipelines Using
Multibeam Water Column Images,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link
2001
BibRef
Kuze, A.[Akihiko],
Kikuchi, N.[Nobuhiro],
Kataoka, F.[Fumie],
Suto, H.[Hiroshi],
Shiomi, K.[Kei],
Kondo, Y.[Yutaka],
Detection of Methane Emission from a Local Source Using GOSAT Target
Observations,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link
2001
BibRef
Xiao, C.L.[Chun-Lei],
Fu, B.H.[Bi-Hong],
Shui, H.Q.[Han-Qing],
Guo, Z.C.[Zhao-Cheng],
Zhu, J.[Jurui],
Detecting the Sources of Methane Emission from Oil Shale Mining and
Processing Using Airborne Hyperspectral Data,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Tzanis, C.G.[Chris G.],
Koutsogiannis, I.[Ioannis],
Philippopoulos, K.[Kostas],
Kalamaras, N.[Nikolaos],
Multifractal Detrended Cross-Correlation Analysis of Global Methane
and Temperature,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Karppinen, T.[Tomi],
Lamminpää, O.[Otto],
Tukiainen, S.[Simo],
Kivi, R.[Rigel],
Heikkinen, P.[Pauli],
Hatakka, J.[Juha],
Laine, M.[Marko],
Chen, H.L.[Hui-Lin],
Lindqvist, H.[Hannakaisa],
Tamminen, J.[Johanna],
Vertical Distribution of Arctic Methane in 2009-2018 Using
Ground-Based Remote Sensing,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Foote, M.D.,
Dennison, P.E.,
Thorpe, A.K.,
Thompson, D.R.,
Jongaramrungruang, S.,
Frankenberg, C.,
Joshi, S.C.,
Fast and Accurate Retrieval of Methane Concentration From Imaging
Spectrometer Data Using Sparsity Prior,
GeoRS(58), No. 9, September 2020, pp. 6480-6492.
IEEE DOI
2008
Methane, Imaging, Absorption, Optimization, Real-time systems,
Instruments, Sensors,
plume detection
BibRef
Yang, Y.Y.[Yuan-Yuan],
Wang, Y.[Yong],
Using the BFAST Algorithm and Multitemporal AIRS Data to Investigate
Variation of Atmospheric Methane Concentration over Zoige Wetland of
China,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Oshio, H.[Haruki],
Yoshida, Y.[Yukio],
Matsunaga, T.[Tsuneo],
Deutscher, N.M.[Nicholas M.],
Dubey, M.[Manvendra],
Griffith, D.W.T.[David W. T.],
Hase, F.[Frank],
Iraci, L.T.[Laura T.],
Kivi, R.[Rigel],
Liu, C.[Cheng],
Morino, I.[Isamu],
Notholt, J.[Justus],
Oh, Y.S.[Young-Suk],
Ohyama, H.[Hirofumi],
Petri, C.[Christof],
Pollard, D.F.[David F.],
Roehl, C.[Coleen],
Shiomi, K.[Kei],
Sussmann, R.[Ralf],
Té, Y.[Yao],
Velazco, V.A.[Voltaire A.],
Warneke, T.[Thorsten],
Wunch, D.[Debra],
Bias Correction of the Ratio of Total Column CH4 to CO2 Retrieved
from GOSAT Spectra,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Mckeever, J.,
Jervis, D.,
Strupler, M.,
Microsatellites spot mystery methane leaks,
Spectrum(57), No. 11, November 2020, pp. 38-43.
IEEE DOI
2011
Methane, Interferometers, Space vehicles, Imaging, Small satellites,
Carbon dioxide
BibRef
Nesme, N.,
Foucher, P.Y.,
Doz, S.,
Detection and Quantification of Industrial Methane Plume with The
Airborne Hyspex-neo Camera and Applications to Satellite Data,
ISPRS20(B3:821-827).
DOI Link
2012
BibRef
Iwaszenko, S.[Sebastian],
Kalisz, P.[Piotr],
Slota, M.[Marcin],
Rudzki, A.[Andrzej],
Detection of Natural Gas Leakages Using a Laser-Based Methane Sensor
and UAV,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link
2102
BibRef
Crosman, E.[Erik],
Meteorological Drivers of Permian Basin Methane Anomalies Derived
from TROPOMI,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Achard, V.[Véronique],
Foucher, P.Y.[Pierre-Yves],
Dubucq, D.[Dominique],
Hydrocarbon Pollution Detection and Mapping Based on the Combination
of Various Hyperspectral Imaging Processing Tools,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Belikov, D.A.[Dmitry A.],
Saitoh, N.[Naoko],
Patra, P.K.[Prabir K.],
Chandra, N.[Naveen],
GOSAT CH4 Vertical Profiles over the Indian Subcontinent: Effect of a
Priori and Averaging Kernels for Climate Applications,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Kenea, S.T.[Samuel-Takele],
Lee, H.Y.[Hae-Young],
Joo, S.W.[Sang-Won],
Li, S.L.[Shan-Lan],
Labzovskii, L.D.[Lev D.],
Chung, C.Y.[Chu-Yong],
Kim, Y.H.[Yeon-Hee],
Interannual Variability of Atmospheric CH4 and Its Driver Over South
Korea Captured by Integrated Data in 2019,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Cassé, V.[Vincent],
Armante, R.[Raymond],
Bousquet, P.[Philippe],
Chomette, O.[Olivier],
Crevoisier, C.[Cyril],
Delahaye, T.[Thibault],
Edouart, D.[Dimitri],
Gibert, F.[Fabien],
Millet, B.[Bruno],
Nahan, F.[Frédéric],
Pierangelo, C.[Clémence],
Development and Validation of an End-to-End Simulator and Gas
Concentration Retrieval Processor Applied to the MERLIN Lidar Mission,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link
2107
MEthane Remote LIdar missioN.
BibRef
Nesme, N.[Nicolas],
Marion, R.[Rodolphe],
Lezeaux, O.[Olivier],
Doz, S.[Stéphanie],
Camy-Peyret, C.[Claude],
Foucher, P.Y.[Pierre-Yves],
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,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Voshtani, S.[Sina],
Ménard, R.[Richard],
Walker, T.W.[Thomas W.],
Hakami, A.[Amir],
Assimilation of GOSAT Methane in the Hemispheric CMAQ;
Part I: Design of the Assimilation System,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link
2201
BibRef
And:
Assimilation of GOSAT Methane in the Hemispheric CMAQ;
Part II: Results Using Optimal Error Statistics,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Li, L.[Luman],
Lei, L.P.[Li-Ping],
Song, H.[Hao],
Zeng, Z.C.[Zhao-Cheng],
He, Z.H.[Zhong-Hua],
Spatiotemporal Geostatistical Analysis and Global Mapping of CH4
Columns from GOSAT Observations,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Lu, X.J.[Xing-Ji],
Huang, Y.[Yinbo],
Wu, P.F.[Peng-Fei],
Liu, D.D.[Dan-Dan],
Ma, H.L.[Hong-Liang],
Wang, G.S.[Gui-Shi],
Cao, Z.S.[Zhen-Song],
Distributed Feedback Interband Cascade Laser Based Laser Heterodyne
Radiometer for Column Density of HDO and CH4 Measurements at
Dunhuang, Northwest of China,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link
2204
BibRef
Terentieva, I.[Irina],
Filippov, I.[Ilya],
Sabrekov, A.[Aleksandr],
Glagolev, M.[Mikhail],
Mapping Onshore CH4 Seeps in Western Siberian Floodplains Using
Convolutional Neural Network,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Tian, Y.[Yuan],
Hong, X.H.[Xin-Hua],
Shan, C.G.[Chang-Gong],
Sun, Y.W.[You-Wen],
Wang, W.[Wei],
Zhou, M.Q.[Min-Qiang],
Wang, P.[Pucai],
Lin, P.[Peize],
Liu, C.[Cheng],
Investigating the Performance of Carbon Monoxide and Methane
Observations from Sentinel-5 Precursor in China,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Yakovlev, S.V.[Semyon V.],
Sadovnikov, S.A.[Sergey A.],
Romanovskii, O.A.[Oleg A.],
Mobile Airborne Lidar for Remote Methane Monitoring: Design,
Simulation of Atmospheric Measurements and First Flight Tests,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Tsuruta, A.[Aki],
Kivimäki, E.[Ella],
Lindqvist, H.[Hannakaisa],
Karppinen, T.[Tomi],
Backman, L.[Leif],
Hakkarainen, J.[Janne],
Schneising, O.[Oliver],
Buchwitz, M.[Michael],
Lan, X.[Xin],
Kivi, R.[Rigel],
Chen, H.L.[Hui-Lin],
Buschmann, M.[Matthias],
Herkommer, B.[Benedikt],
Notholt, J.[Justus],
Roehl, C.[Coleen],
Té, Y.[Yao],
Wunch, D.[Debra],
Tamminen, J.[Johanna],
Aalto, T.[Tuula],
CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker
Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the
Northern High Latitudes,
RS(15), No. 6, 2023, pp. 1620.
DOI Link
2304
BibRef
Albuhaisi, Y.A.Y.[Yousef A. Y.],
van der Velde, Y.[Ype],
Houweling, S.[Sander],
The Importance of Spatial Resolution in the Modeling of Methane
Emissions from Natural Wetlands,
RS(15), No. 11, 2023, pp. 2840.
DOI Link
2306
BibRef
Cai, K.[Kun],
Yang, X.[Xuan],
Li, S.S.[Shen-Shen],
Xiao, Y.Z.[Yi-Zhuo],
Qiao, B.J.[Bao-Jun],
Liu, Y.[Yang],
Accuracy Verification of Satellite Products and Temporal and Spatial
Distribution Analysis and Prediction of the CH4 Concentration in
China,
RS(15), No. 11, 2023, pp. 2813.
DOI Link
2306
BibRef
Zhou, L.H.[Li-Hang],
Warner, J.[Juying],
Nalli, N.R.[Nicholas R.],
Wei, Z.[Zigang],
Oh, Y.[Youmi],
Bruhwiler, L.[Lori],
Liu, X.[Xingpin],
Divakarla, M.[Murty],
Pryor, K.[Ken],
Kalluri, S.[Satya],
Goldberg, M.D.[Mitchell D.],
Spatiotemporal Variability of Global Atmospheric Methane Observed
from Two Decades of Satellite Hyperspectral Infrared Sounders,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link
2307
BibRef
Zhang, X.Y.[Xuan-Ye],
Zhang, M.M.[Miao-Miao],
Bu, L.B.[Ling-Bing],
Fan, Z.C.[Zeng-Chang],
Mubarak, A.[Ahmad],
Simulation and Error Analysis of Methane Detection Globally Using
Spaceborne IPDA Lidar,
RS(15), No. 13, 2023, pp. 3239.
DOI Link
2307
BibRef
Albuhaisi, Y.A.Y.[Yousef A. Y.],
van der Velde, Y.[Ype],
de Jeu, R.[Richard],
Zhang, Z.[Zhen],
Houweling, S.[Sander],
High-Resolution Estimation of Methane Emissions from Boreal and
Pan-Arctic Wetlands Using Advanced Satellite Data,
RS(15), No. 13, 2023, pp. 3433.
DOI Link
2307
BibRef
Song, H.[Hao],
Sheng, M.Y.[Meng-Ya],
Lei, L.P.[Li-Ping],
Guo, K.Y.[Kai-Yuan],
Zhang, S.Q.[Shao-Qing],
Ji, Z.H.[Zhang-Hui],
Spatial and Temporal Variations of Atmospheric CH4 in Monsoon Asia
Detected by Satellite Observations of GOSAT and TROPOMI,
RS(15), No. 13, 2023, pp. 3389.
DOI Link
2307
BibRef
Abeywickrama, H.G.K.[Hiniduma Gamage Kavindi],
Bajón-Fernández, Y.[Yadira],
Srinamasivayam, B.[Bharanitharan],
Turner, D.[Duncan],
Casado, M.R.[Mónica Rivas],
Development of a UAV Based Framework for CH4 Monitoring in Sludge
Treatment Centres,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link
2308
BibRef
Zhao, S.[Siyan],
Wang, L.[Li],
Shi, Y.S.[Yu-Sheng],
Zeng, Z.C.[Zhao-Cheng],
Nath, B.[Biswajit],
Niu, Z.[Zheng],
Methane Emissions in Boreal Forest Fire Regions: Assessment of Five
Biomass-Burning Emission Inventories Based on Carbon Sensing
Satellites,
RS(15), No. 18, 2023, pp. 4547.
DOI Link
2310
BibRef
de Smet, T.S.[Timothy S.],
Nikulin, A.[Alex],
Balrup, N.[Nicholas],
Graber, N.[Nathan],
Successful Integration of UAV Aeromagnetic Mapping with Terrestrial
Methane Emissions Surveys in Orphaned Well Remediation,
RS(15), No. 20, 2023, pp. 5004.
DOI Link
2310
BibRef
Stroud, J.R.[Jasper R.],
Wagner, G.A.[Gerd A.],
Plusquellic, D.F.[David F.],
Multi-Frequency Differential Absorption LIDAR (DIAL) System for
Aerosol and Cloud Retrievals of CO2/H2O and CH4/H2O,
RS(15), No. 23, 2023, pp. 5595.
DOI Link
2312
BibRef
Erkkilä, A.[Anttoni],
Tenkanen, M.[Maria],
Tsuruta, A.[Aki],
Rautiainen, K.[Kimmo],
Aalto, T.[Tuula],
Environmental and Seasonal Variability of High Latitude Methane
Emissions Based on Earth Observation Data and Atmospheric Inverse
Modelling,
RS(15), No. 24, 2023, pp. 5719.
DOI Link
2401
BibRef
Tenkanen, M.K.[Maria K.],
Tsuruta, A.[Aki],
Tyystjärvi, V.[Vilna],
Törmä, M.[Markus],
Autio, I.[Iida],
Haakana, M.[Markus],
Tuomainen, T.[Tarja],
Leppänen, A.[Antti],
Markkanen, T.[Tiina],
Raivonen, M.[Maarit],
Niinistö, S.[Sini],
Arslan, A.N.[Ali Nadir],
Aalto, T.[Tuula],
Using Atmospheric Inverse Modelling of Methane Budgets with
Copernicus Land Water and Wetness Data to Detect Land Use-Related
Emissions,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link
2401
BibRef
Ermoshkin, A.[Aleksey],
Kapustin, I.[Ivan],
Molkov, A.[Aleksandr],
Semiletov, I.[Igor],
Manifestation of Gas Seepage from Bottom Sediments on the Sea
Surface: Theoretical Model and Experimental Observations,
RS(16), No. 2, 2024, pp. 408.
DOI Link
2402
BibRef
Ochs, D.[Daniel],
Wiertz, K.[Karsten],
Bußmann, S.[Sebastian],
Kersting, K.[Kristian],
Dhami, D.S.[Devendra Singh],
Effective Risk Detection for Natural Gas Pipelines Using
Low-Resolution Satellite Images,
RS(16), No. 2, 2024, pp. 266.
DOI Link
2402
BibRef
Wu, W.[Wan],
Liu, X.[Xu],
Xiong, X.Z.[Xiao-Zhen],
Yang, Q.G.[Qi-Guang],
Zhou, L.[Lihang],
Lei, L.Q.[Li-Qiao],
Zhou, D.K.[Daniel K.],
Larar, A.M.[Allen M.],
Spectral Fingerprinting of Methane from Hyper-Spectral Sounder
Measurements Using Machine Learning and Radiative Kernel-Based
Inversion,
RS(16), No. 3, 2024, pp. 578.
DOI Link
2402
BibRef
Lu, X.J.[Xing-Ji],
Huang, Y.[Yinbo],
Wu, P.F.[Peng-Fei],
Huang, J.[Jun],
Luo, T.[Tao],
Liu, Q.[Qiang],
Cao, Z.S.[Zhen-Song],
Atmospheric HDO Abundance Measurements in the Tibetan Plateau Based
on Laser Heterodyne Radiometer,
RS(16), No. 3, 2024, pp. 459.
DOI Link
2402
BibRef
Yazbeck, T.[Theresia],
Bohrer, G.[Gil],
Shchehlov, O.[Oleksandr],
Ward, E.[Eric],
Bordelon, R.[Robert],
Villa, J.A.[Jorge A.],
Ju, Y.[Yang],
Integrating NDVI-Based Within-Wetland Vegetation Classification in a
Land Surface Model Improves Methane Emission Estimations,
RS(16), No. 6, 2024, pp. 946.
DOI Link
2403
BibRef
Wang, H.Z.[Hong-Zhou],
Fan, X.T.[Xiang-Tao],
Jian, H.[Hongdeng],
Yan, F.[Fuli],
Exploiting the Matched Filter to Improve the Detection of Methane
Plumes with Sentinel-2 Data,
RS(16), No. 6, 2024, pp. 1023.
DOI Link
2403
BibRef
Ma, P.F.[Peng-Fei],
Zhuo, Y.[Ying],
Chen, G.[Genda],
Burken, J.G.[Joel G.],
Natural Gas Induced Vegetation Stress Identification and
Discrimination from Hyperspectral Imaging for Pipeline Leakage
Detection,
RS(16), No. 6, 2024, pp. 1029.
DOI Link
2403
BibRef
Xing, Z.Y.[Zhen-Yu],
Barchyn, T.E.[Thomas E.],
Vollrath, C.[Coleman],
Gao, M.[Mozhou],
Hugenholtz, C.[Chris],
Satellite-Derived Estimate of City-Level Methane Emissions from
Calgary, Alberta, Canada,
RS(16), No. 7, 2024, pp. 1149.
DOI Link
2404
BibRef
Zhang, X.X.[Xin-Xin],
Zhang, Y.[Ying],
Meng, F.[Fan],
Tao, J.H.[Jin-Hua],
Wang, H.M.[Hong-Mei],
Wang, Y.[Yapeng],
Chen, L.F.[Liang-Fu],
Methane Retrieval from Hyperspectral Infrared Atmospheric Sounder on
FY3D,
RS(16), No. 8, 2024, pp. 1414.
DOI Link
2405
BibRef
Zhang, K.[Kai],
Ni, W.Z.[Wang-Ze],
Zhu, Y.[Yudi],
Wang, T.[Tao],
Jiang, W.K.[Wen-Kai],
Zeng, M.[Min],
Yang, Z.[Zhi],
Anomaly Detection of Sensor Arrays of Underwater Methane Remote
Sensing by Explainable Sparse Spatio-Temporal Transformer,
RS(16), No. 13, 2024, pp. 2415.
DOI Link
2407
BibRef
Abeywickrama, H.G.K.[Hiniduma Gamage Kavindi],
Bajón-Fernández, Y.[Yadira],
Srinamasivayam, B.[Bharanitharan],
Turner, D.[Duncan],
Casado, M.R.[Mónica Rivas],
Monitoring CH4 Fluxes in Sewage Sludge Treatment Centres:
Challenging Emission Underreporting,
RS(16), No. 13, 2024, pp. 2280.
DOI Link
2407
BibRef
Jin, Z.L.[Zhi-Li],
He, J.C.[Jun-Chen],
Wang, W.[Wei],
Monitoring Methane Concentrations with High Spatial Resolution over
China by Using Random Forest Model,
RS(16), No. 14, 2024, pp. 2525.
DOI Link
2408
BibRef
Huang, Y.[Yalan],
Cui, J.[Jing],
Zhima, Z.[Zeren],
Jiang, D.W.[Da-Wei],
Wang, X.[Xu],
Wang, L.[Lin],
Construction of a Fine Extraction Process for Seismic Methane
Anomalies Based on Remote Sensing: The Case of the 6 February 2023,
Türkiye-Syria Earthquake,
RS(16), No. 16, 2024, pp. 2936.
DOI Link
2408
BibRef
Lindqvist, H.[Hannakaisa],
Kivimäki, E.[Ella],
Häkkilä, T.[Tuomas],
Tsuruta, A.[Aki],
Schneising, O.[Oliver],
Buchwitz, M.[Michael],
Lorente, A.[Alba],
Velarte, M.M.[Mari Martinez],
Borsdorff, T.[Tobias],
Alberti, C.[Carlos],
Backman, L.[Leif],
Buschmann, M.[Matthias],
Chen, H.L.[Hui-Lin],
Dubravica, D.[Darko],
Hase, F.[Frank],
Heikkinen, P.[Pauli],
Karppinen, T.[Tomi],
Kivi, R.[Rigel],
McGee, E.[Erin],
Notholt, J.[Justus],
Rautiainen, K.[Kimmo],
Roche, S.[Sébastien],
Simpson, W.[William],
Strong, K.[Kimberly],
Tu, Q.[Qiansi],
Wunch, D.[Debra],
Aalto, T.[Tuula],
Tamminen, J.[Johanna],
Evaluation of Sentinel-5P TROPOMI Methane Observations at Northern
High Latitudes,
RS(16), No. 16, 2024, pp. 2979.
DOI Link
2408
BibRef
Yang, D.[Doee],
Wang, Y.C.[Yu-Chuan],
Akdeniz, N.[Neslihan],
Field Measurements of Spatial Air Emissions from Dairy Pastures Using
an Unmanned Aircraft System,
RS(16), No. 16, 2024, pp. 3007.
DOI Link
2408
BibRef
Spatafora, M.A.N.[Maria Ausilia Napoli],
Allegra, D.[Dario],
Giudice, O.[Oliver],
Stanco, F.[Filippo],
Battiato, S.[Sebastiano],
Natural Gas Leakage Detection:
A Deep Learning Framework on IR Video Data,
ICPR22(636-642)
IEEE DOI
2212
Deep learning, Optical losses, Recurrent neural networks,
Stimulated emission, Optical computing, Optical detectors, Optical imaging
BibRef
Nesme, N.,
Foucher, P.Y.,
Doz, S.,
Lezeaux, O.,
Camy-Peyret, C.,
Comparison of Estimation Methods to Quantify Methane Plume
Concentration At High Spatial Resolution From Hyperspectral Images,
ISPRS21(B3-2021: 411-417).
DOI Link
2201
BibRef
Kumar, S.,
Torres, C.,
Ulutan, O.,
Ayasse, A.,
Roberts, D.,
Manjunath, B.S.,
Deep Remote Sensing Methods for Methane Detection in Overhead
Hyperspectral Imagery,
WACV20(1765-1774)
IEEE DOI
2006
Detectors, Hyperspectral imaging, Methane, Shape,
Support vector machines, Manuals
BibRef
Park, J.G.,
Park, S.Y.,
Determination Of Methane Sourcex Globally By Sciamachy,
ISPRS16(B8: 291-298).
DOI Link
1610
BibRef
Zhao, S.S.,
Wang, N.,
Hui, J.,
Ye, X.,
Qin, Q.,
Anomaly Identification From Super-low Frequency Electromagnetic Data
For The Coalbed Methane Detection,
ISPRS16(B8: 449-452).
DOI Link
1610
BibRef
Larsen, N.,
Kumer, J.,
Rairden, R.,
Jablonski, K.,
Total Column Methane Retrievals Using The Tropospheric Infrared Mapping
Spectrometer Over Sunglint,
ISPRS12(XXXIX-B8:121-125).
DOI Link
1209
BibRef
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Pollution, CO2 Measurements, Carbon Dioxide, Carbon Monoxide .