23.2.22.1.5 Pollution, CO2 Measurements, Carbon Dioxide, Carbon Monoxide

Chapter Contents (Back)
Pullution. CO2. Carbon Dioxide. Carbon Monoxide. More General:
See also Atmospheric, Aerosols, Aerosol Optical Depth, Measurements, Air Quality, Remote Sensing.
See also Pollution, NOx Measurements, Nitric, Nitrous Oxide, Nitrogen Oxides.

Boesch, H.[Hartmut], Baker, D.[David], Connor, B.[Brian], Crisp, D.[David], Miller, C.[Charles],
Global Characterization of CO2 Column Retrievals from Shortwave-Infrared Satellite Observations of the Orbiting Carbon Observatory-2 Mission,
RS(3), No. 2, February 2011, pp. 270-304. 1102

DOI Link Award, Remote Sensing. 2015. BibRef

Abshire, J.B.[James B.], Ramanathan, A.[Anand], Riris, H.[Haris], Mao, J.P.[Jian-Ping], Allan, G.R.[Graham R.], Hasselbrack, W.E.[William E.], Weaver, C.J.[Clark J.], Browell, E.V.[Edward V.],
Airborne Measurements of CO2 Column Concentration and Range Using a Pulsed Direct-Detection IPDA Lidar,
RS(6), No. 1, 2013, pp. 443-469.
DOI Link 1402
BibRef

Tadic, J.M., Loewenstein, M., Frankenberg, C., Butz, A., Roby, M., Iraci, L.T., Yates, E.L., Gore, W., Kuze, A.,
A Comparison of In Situ Aircraft Measurements of Carbon Dioxide and Methane to GOSAT Data Measured Over Railroad Valley Playa, Nevada, USA,
GeoRS(52), No. 12, December 2014, pp. 7764-7774.
IEEE DOI 1410
air pollution BibRef

Traore, A.K.[Abdoul Khadre], Ciais, P.[Philippe], Vuichard, N.[Nicolas], MacBean, N.[Natasha], Dardel, C.[Cecile], Poulter, B.[Benjamin], Piao, S.[Shilong], Fisher, J.B.[Joshua B.], Viovy, N.[Nicolas], Jung, M.[Martin], Myneni, R.[Ranga],
1982-2010 Trends of Light Use Efficiency and Inherent Water Use Efficiency in African vegetation: Sensitivity to Climate and Atmospheric CO2 Concentrations,
RS(6), No. 9, 2014, pp. 8923-8944.
DOI Link 1410
BibRef

Zeng, Z., Lei, L., Hou, S., Ru, F., Guan, X., Zhang, B.,
A Regional Gap-Filling Method Based on Spatiotemporal Variogram Model of CO2 Columns,
GeoRS(52), No. 6, June 2014, pp. 3594-3603.
IEEE DOI 1403
Atmospheric measurements BibRef

Du, X.M.[Xiao-Min], Peng, S.[Suping], Wang, H.Y.[Hai-Yan], Bernardes, S.[Sergio], Yang, G.[Guang], Li, Z.P.[Zhi-Peng],
Annual Change Detection by ASTER TIR Data and an Estimation of the Annual Coal Loss and CO2 Emission from Coal Seams Spontaneous Combustion,
RS(7), No. 1, 2014, pp. 319-341.
DOI Link 1502
BibRef

Han, G.[Ge], Gong, W.[Wei], Lin, H.[Hong], Ma, X.[Xin], Xiang, Z.C.[Zhi-Cheng],
Study on Influences of Atmospheric Factors on Vertical CO_2 Profile Retrieving From Ground-Based DIAL at 1.6 mu-m,
GeoRS(53), No. 6, June 2015, pp. 3221-3234.
IEEE DOI 1503
Micro-meters. aerosols BibRef

Singh, U.N.[Upendra N.], Refaat, T.F.[Tamer F.], Yu, J.R.[Ji-Rong], Petros, M.[Mulugeta], Remus, R.G.[Ruben G.],
Airborne active remote sensor for atmospheric carbon dioxide,
SPIE(Newsroom), December 15, 2015
DOI Link 1602
A novel double-pulse 2µm integrated path differential absorption lidar instrument has been developed for measuring carbon dioxide column content. BibRef

Jung, Y.J.[Yeon-Jin], Kim, J.[Jhoon], Kim, W.[Woogyung], Boesch, H.[Hartmut], Lee, H.[Hanlim], Cho, C.[Chunho], Goo, T.Y.[Tae-Young],
Impact of Aerosol Property on the Accuracy of a CO2 Retrieval Algorithm from Satellite Remote Sensing,
RS(8), No. 4, 2016, pp. 322.
DOI Link 1604
BibRef

Kim, W.[Woogyung], Kim, J.[Jhoon], Jung, Y.J.[Yeon-Jin], Boesch, H.[Hartmut], Lee, H.[Hanlim], Lee, S.[Sanghee], Goo, T.Y.[Tae-Young], Jeong, U.[Ukkyo], Kim, M.[Mijin], Cho, C.H.[Chun-Ho], Ou, M.L.[Mi-Lim],
Retrieving XCO2 from GOSAT FTS over East Asia Using Simultaneous Aerosol Information from CAI,
RS(8), No. 12, 2016, pp. 994.
DOI Link 1612
BibRef

Lee, S.[Sanghee], Kim, M.[Mijin], Choi, M.J.[Myung-Je], Go, S.J.[Su-Jung], Kim, J.[Jhoon], Kim, J.H.[Jung-Hyun], Lim, H.K.[Hyun-Kwang], Jeong, U.[Ukkyo], Goo, T.Y.[Tae-Young], Kuze, A.[Akihiko], Shiomi, K.[Kei], Tatsuya, Y.[Yokota],
Aerosol Property Retrieval Algorithm over Northeast Asia from TANSO-CAI Measurements Onboard GOSAT,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Tanaka, T., Yates, E., Iraci, L.T., Johnson, M.S., Gore, W., Tadic, J.M., Loewenstein, M., Kuze, A., Frankenberg, C., Butz, A., Yoshida, Y.,
Two-Year Comparison of Airborne Measurements of CO2 and CH4 With GOSAT at Railroad Valley, Nevada,
GeoRS(54), No. 8, August 2016, pp. 4367-4375.
IEEE DOI 1608
air pollution BibRef

Song, X.L.[Xue-Lian], Bai, Y.[Yan], Cai, W.J.[Wei-Jun], Chen, C.T.A.[Chen-Tung Arthur], Pan, D.[Delu], He, X.Q.[Xian-Qiang], Zhu, Q.K.[Qian-Kun],
Remote Sensing of Sea Surface pCO2 in the Bering Sea in Summer Based on a Mechanistic Semi-Analytical Algorithm (MeSAA),
RS(8), No. 7, 2016, pp. 558.
DOI Link 1608
BibRef

Mahmod, M., Jonkers, E., Klunder, G.A., Benz, T., Winder, A.,
Amitran methodology framework for evaluating the impact of information and communication technology-based measures on CO2 emissions in the transport field,
IET-ITS(9), No. 4, 2015, pp. 418-428.
DOI Link 1506
air pollution BibRef

Jones, L.A., Kimball, J.S., Reichle, R.H., Madani, N., Glassy, J., Ardizzone, J.V., Ardizzone, J.V., Colliander, A., Cleverly, J., Desai, A.R., Eamus, D., Euskirchen, E.S., Hutley, L., Macfarlane, C., Scott, R.L.,
The SMAP Level 4 Carbon Product for Monitoring Ecosystem Land-Atmosphere CO2 Exchange,
GeoRS(55), No. 11, November 2017, pp. 6517-6532.
IEEE DOI 1711
Atmospheric modeling, Carbon, Data models, Ecosystems, Vegetation mapping, CO2 fluxes, Soil Moisture Active Passive (SMAP) Mission, carbon cycle, ecosystems, environmental monitoring, microwave remote sensing. BibRef

Han, G., Cui, X., Liang, A., Ma, X., Zhang, T., Gong, W.,
A CO2 Profile Retrieving Method Based on Chebyshev Fitting for Ground-Based DIAL,
GeoRS(55), No. 11, November 2017, pp. 6099-6110.
IEEE DOI 1711
Absorption, Atmospheric measurements, Carbon, Extraterrestrial measurements, Laser radar, Sea measurements, Spatial resolution, Algorithm, atmospheric measurement, carbon, laser, radar BibRef

He, Z.H.[Zhong-Hua], Zeng, Z.C.[Zhao-Cheng], Lei, L.P.[Li-Ping], Bie, N.[Nian], Yang, S.Y.[Shao-Yuan],
A Data-Driven Assessment of Biosphere-Atmosphere Interaction Impact on Seasonal Cycle Patterns of XCO2 Using GOSAT and MODIS Observations,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Reuter, M.[Maximilian], Buchwitz, M.[Michael], Schneising, O.[Oliver], Noël, S.[Stefan], Rozanov, V.[Vladimir], Bovensmann, H.[Heinrich], Burrows, J.P.[John P.],
A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering: Part 1: Radiative Transfer and a Potential OCO-2 XCO2 Retrieval Setup,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef
And: A1, A2, A3, A4, A6, A7, Only:
A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering: Part 2: Application to XCO2 Retrievals from OCO-2,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Silva, S.J.[Sam J.], Arellano, A.F.,
Characterizing Regional-Scale Combustion Using Satellite Retrievals of CO, NO2 and CO2,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Han, G.[Ge], Ma, X.[Xin], Liang, A.[Ailin], Zhang, T.H.[Tian-Hao], Zhao, Y.N.[Yan-Nan], Zhang, M.[Miao], Gong, W.[Wei],
Performance Evaluation for China's Planned CO2-IPDA,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Liang, A.[Ailin], Gong, W.[Wei], Han, G.[Ge], Xiang, C.Z.[Cheng-Zhi],
Comparison of Satellite-Observed XCO2 from GOSAT, OCO-2, and Ground-Based TCCON,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Kiemle, C.[Christoph], Ehret, G.[Gerhard], Amediek, A.[Axel], Fix, A.[Andreas], Quatrevalet, M.[Mathieu], Wirth, M.[Martin],
Potential of Spaceborne Lidar Measurements of Carbon Dioxide and Methane Emissions from Strong Point Sources,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Kataoka, F.[Fumie], Crisp, D.[David], Taylor, T.E.[Thomas E.], O'Dell, C.W.[Chris W.], Kuze, A.[Akihiko], Shiomi, K.[Kei], Suto, H.[Hiroshi], Bruegge, C.[Carol], Schwandner, F.M.[Florian M.], Rosenberg, R.[Robert], Chapsky, L.[Lars], Lee, R.A.M.[Richard A. M.],
The Cross-Calibration of Spectral Radiances and Cross-Validation of CO2 Estimates from GOSAT and OCO-2,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Queißer, M.[Manuel], Burton, M.[Mike], Granieri, D.[Domenico], Varnam, M.[Matthew],
Ground-Based Remote Sensing of Volcanic CO2 Fluxes at Solfatara (Italy): Direct Versus Inverse Bayesian Retrieval,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Zammit-Mangion, A.[Andrew], Cressie, N.[Noel], Shumack, C.[Clint],
On Statistical Approaches to Generate Level 3 Products from Satellite Remote Sensing Retrievals,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Hochstaffl, P.[Philipp], Schreier, F.[Franz], Lichtenberg, G.[Günter], García, S.G.[Sebastian Gimeno],
Validation of Carbon Monoxide Total Column Retrievals from SCIAMACHY Observations with NDACC/TCCON Ground-Based Measurements,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef
And: Addendum: RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

He, Z.H.[Zhong-Hua], Lei, L.P.[Li-Ping], Welp, L.R.[Lisa R.], Zeng, Z.C.[Zhao-Cheng], Bie, N.[Nian], Yang, S.Y.[Shao-Yuan], Liu, L.Y.[Liang-Yun],
Detection of Spatiotemporal Extreme Changes in Atmospheric CO2 Concentration Based on Satellite Observations,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Yang, Z., Zhen, Y., Yin, Z., Lin, C., Bi, Y., Liu, W., Wang, Q., Wang, L., Gu, S., Tian, L.,
Prelaunch Radiometric Calibration of the TanSat Atmospheric Carbon Dioxide Grating Spectrometer,
GeoRS(56), No. 7, July 2018, pp. 4225-4233.
IEEE DOI 1807
artificial satellites, atmospheric composition, atmospheric measuring apparatus, calibration, carbon compounds, spectrometer BibRef

Yang, Z., Bi, Y., Wang, Q., Liu, C., Gu, S., Zheng, Y., Lin, C., Yin, Z., Tian, L.,
Inflight Performance of the TanSat Atmospheric Carbon Dioxide Grating Spectrometer,
GeoRS(58), No. 7, July 2020, pp. 4691-4703.
IEEE DOI 2006
Atmospheric measurements, Extraterrestrial measurements, Calibration, Gratings, Instruments, Satellites, Carbon dioxide, spectrometer BibRef

Han, G.[Ge], Xu, H.[Hao], Gong, W.[Wei], Liu, J.Q.[Ji-Qiao], Du, J.[Juan], Ma, X.[Xin], Liang, A.[Ailin],
Feasibility Study on Measuring Atmospheric CO2 in Urban Areas Using Spaceborne CO2-IPDA LIDAR,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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Kim, D.W.[Dae-Won], Kang, H.W.[Hyeong-Woo], Ryu, J.Y.[Jea-Yong], Jun, S.C.[Seong-Chun], Yun, S.T.[Seong-Taek], Choi, S.[Sung_Chul], Park, S.[Sun_Ho], Yoon, M.[Moon_Sang], Lee, H.[Hanlim],
Development of Raman Lidar for Remote Sensing of CO2 Leakage at an Artificial Carbon Capture and Storage Site,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
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Cao, L.Z.[Liang-Zhong], Chen, X.[Xi], Zhang, C.[Chi], Kurban, A.[Alishir], Qian, J.[Jin], Pan, T.[Tao], Yin, Z.Z.[Zuo-Zhong], Qin, X.G.[Xiu-Gong], Ochege, F.U.[Friday Uchenna], de Maeyer, P.[Philippe],
The Global Spatiotemporal Distribution of the Mid-Tropospheric CO2 Concentration and Analysis of the Controlling Factors,
RS(11), No. 1, 2019, pp. xx-yy.
DOI Link 1901
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Jacob, J.C., Menzies, R.T., Spiers, G.D.,
Data Processing and Analysis Approach to Retrieve Carbon Dioxide Weighted-Column Mixing Ratio and 2-mu m Reflectance With an Airborne Laser Absorption Spectrometer,
GeoRS(57), No. 2, February 2019, pp. 958-971.
IEEE DOI 1901
Absorption, Atmospheric measurements, Lasers, Terrestrial atmosphere, Laser radar, Aircraft, lidar BibRef

Wang, R.[Ruwen], Xie, P.[Pinhua], Xu, J.[Jin], Li, A.[Ang], Sun, Y.[Youwen],
Observation of CO2 Regional Distribution Using an Airborne Infrared Remote Sensing Spectrometer (Air-IRSS) in the North China Plain,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
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Matvienko, G.G.[Gennadii G], Sukhanov, A.Y.[Alexander Ya],
Application of Neural Networks for Retrieval of the CO2 Concentration at Aerospace Sensing by IPDA-DIAL lidar,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
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Hakkarainen, J.[Janne], Ialongo, I.[Iolanda], Maksyutov, S.[Shamil], Crisp, D.[David],
Analysis of Four Years of Global XCO2 Anomalies as Seen by Orbiting Carbon Observatory-2,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
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Chen, X.[Xi], Liu, Y.[Yi], Yang, D.X.[Dong-Xu], Cai, Z.N.[Zhao-Nan], Chen, H.B.[Hong-Bin], Wang, M.[Maohua],
A Theoretical Analysis for Improving Aerosol-Induced CO2 Retrieval Uncertainties Over Land Based on TanSat Nadir Observations Under Clear Sky Conditions,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
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Hill, T.[Tim], Nassar, R.[Ray],
Pixel Size and Revisit Rate Requirements for Monitoring Power Plant CO2 Emissions from Space,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
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Le, B.T., Xiao, D., Mao, Y., He, D., Xu, J., Song, L.,
Coal Quality Exploration Technology Based on an Incremental Multilayer Extreme Learning Machine and Remote Sensing Images,
GeoRS(57), No. 7, July 2019, pp. 4192-4201.
IEEE DOI 1907
Coal, Remote sensing, Coal mining, Satellites, Carbon, Atmospheric measurements, Geologic measurements, remote sensing images BibRef

Lamminpää, O.[Otto], Hobbs, J.[Jonathan], Brynjarsdóttir, J.[Jenný], Laine, M.[Marko], Braverman, A.[Amy], Lindqvist, H.[Hannakaisa], Tamminen, J.[Johanna],
Accelerated MCMC for Satellite-Based Measurements of Atmospheric CO2,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
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Yuan, Y.[Ye], Sussmann, R.[Ralf], Rettinger, M.[Markus], Ries, L.[Ludwig], Petermeier, H.[Hannes], Menzel, A.[Annette],
Comparison of Continuous In-Situ CO2 Measurements with Co-Located Column-Averaged XCO2 TCCON/Satellite Observations and CarbonTracker Model Over the Zugspitze Region,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
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Kenea, S.T.[Samuel Takele], Labzovskii, L.D.[Lev D.], Goo, T.Y.[Tae-Young], Li, S.[Shanlan], Oh, Y.S.[Young-Suk], Byun, Y.H.[Young-Hwa],
Comparison of Regional Simulation of Biospheric CO2 Flux from the Updated Version of CarbonTracker Asia with FLUXCOM and Other Inversions over Asia,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
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Wang, L.W.[Li-Wen], Zheng, Y.F.[You-Fei], Liu, C.[Chao], Niu, Z.Y.[Ze-Yi], Xu, J.X.[Jing-Xin], Chen, W.F.[Wen-Feng], Jiang, R.S.[Rong-Sheng],
Combination of AIRS Dual CO2 Absorption Bands to Develop an Ice Clouds Detection Algorithm in Different Atmospheric Layers,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link 2001
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Romaniello, V.[Vito], Spinetti, C.[Claudia], Silvestri, M.[Malvina], Buongiorno, M.F.[Maria Fabrizia],
A Sensitivity Study of the 4.8 µm Carbon Dioxide Absorption Band in the MWIR Spectral Range,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
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He, Z.H.[Zhong-Hua], Lei, L.P.[Li-Ping], Zhang, Y.H.[Yu-Hui], Sheng, M.Y.[Meng-Ya], Wu, C.J.[Chang-Jiang], Li, L.[Liang], Zeng, Z.C.[Zhao-Cheng], Welp, L.R.[Lisa R.],
Spatio-Temporal Mapping of Multi-Satellite Observed Column Atmospheric CO2 Using Precision-Weighted Kriging Method,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
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Zhang, X.[Xun], Liu, J.[Jane], Han, H.[Han], Zhang, Y.G.[Yong-Guang], Jiang, Z.[Zhe], Wang, H.K.[Hai-Kun], Meng, L.Y.[Ling-Yun], Li, Y.C.[Yi Chen], Liu, Y.[Yi],
Satellite-Observed Variations and Trends in Carbon Monoxide over Asia and Their Sensitivities to Biomass Burning,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
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Hochstaffl, P.[Philipp], Schreier, F.[Franz],
Impact of Molecular Spectroscopy on Carbon Monoxide Abundances from SCIAMACHY,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
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Hochstaffl, P.[Philipp], Schreier, F.[Franz], Birk, M.[Manfred], Wagner, G.[Georg], Feist, D.G.[Dietrich G.], Notholt, J.[Justus], Sussmann, R.[Ralf], Té, Y.[Yao],
Impact of Molecular Spectroscopy on Carbon Monoxide Abundances from TROPOMI,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
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del Águila, A.[Ana], Efremenko, D.S.[Dmitry S.], García, V.M.[Víctor Molina], Kataev, M.Y.[Michael Yu.],
Cluster Low-Streams Regression Method for Hyperspectral Radiative Transfer Computations: Cases of O2 A- and CO2 Bands,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
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del Águila, A.[Ana], Efremenko, D.S.[Dmitry S.],
Fast Hyper-Spectral Radiative Transfer Model Based on the Double Cluster Low-Streams Regression Method,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
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McRoberts, R.E.[Ronald E.], Næsset, E.[Erik], Sannier, C.[Christophe], Stehman, S.V.[Stephen V.], Tomppo, E.O.[Erkki O.],
Remote Sensing Support for the Gain-Loss Approach for Greenhouse Gas Inventories,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
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Torres, R.[Ricardo], Shutler, J.[Jamie], Artioli, Y.[Yuri], Kitidis, V.[Vassilis], Ciavatta, S.[Stefano], Ruiz-Villarreal, M.[Manuel], Polimene, L.[Luca], Martinez, V.[Victor], Widdicombe, C.[Claire], Woodward, E.M.S.[E. Malcolm S.], Smyth, T.J.[Timothy J.], Fishwick, J.R.[James R.], Tilstone, G.H.[Gavin H.],
Sensitivity of Modeled CO2 Air-Sea Flux in a Coastal Environment to Surface Temperature Gradients, Surfactants, and Satellite Data Assimilation,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
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Zhu, Y.[Yadan], Yang, J.X.[Ju-Xin], Chen, X.[Xiao], Zhu, X.P.[Xiao-Peng], Zhang, J.X.[Jun-Xuan], Li, S.G.[Shi-Guang], Sun, Y.G.[Yan-Guang], Hou, X.[Xia], Bi, D.[Decang], Bu, L.B.[Ling-Bing], Zhang, Y.[Yang], Liu, J.Q.[Ji-Qiao], Chen, W.B.[Wei-Biao],
Airborne Validation Experiment of 1.57-µm Double-Pulse IPDA LIDAR for Atmospheric Carbon Dioxide Measurement,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
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Refaat, T.F., Petros, M., Singh, U.N., Antill, C.W., Remus, R.G.,
High-Precision and High-Accuracy Column Dry-Air Mixing Ratio Measurement of Carbon Dioxide Using Pulsed 2-mu_m IPDA Lidar,
GeoRS(58), No. 8, August 2020, pp. 5804-5819.
IEEE DOI 2007
Optical transmitters, Pulse measurements, Wavelength measurement, Extraterrestrial measurements, Optical variables measurement, integrated optical depth BibRef

Wang, S.P.[Shu-Peng], van der A, R.J.[Ronald J.], Stammes, P.[Piet], Wang, W.H.[Wei-He], Zhang, P.[Peng], Lu, N.M.[Nai-Meng], Fang, L.[Li],
Carbon Dioxide Retrieval from TanSat Observations and Validation with TCCON Measurements,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
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And: Correction: RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
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Han, G.[Ge], Shi, T.Q.[Tian-Qi], Ma, X.[Xin], Xu, H.[Hao], Zhang, M.[Miao], Liu, Q.[Qi], Gong, W.[Wei],
Obtaining Gradients of XCO2 in Atmosphere Using the Constrained Linear Least-Squares Technique and Multi-Wavelength IPDA LiDAR,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
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Sussmann, R.[Ralf], Rettinger, M.[Markus],
Can We Measure a COVID-19-Related Slowdown in Atmospheric CO2 Growth? Sensitivity of Total Carbon Column Observations,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
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Di, D.[Di], Xue, Y.H.[Yun-Heng], Li, J.[Jun], Bai, W.G.[Wen-Guang], Zhang, P.[Peng],
Effects of CO2 Changes on Hyperspectral Infrared Radiances and Its Implications on Atmospheric Temperature Profile Retrieval and Data Assimilation in NWP,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
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Wang, S.B.[Shuai-Bo], Ke, J.[Ju], Chen, S.[Sijie], Zheng, Z.F.[Zhuo-Fan], Cheng, C.H.[Chong-Hui], Tong, B.[Bowen], Liu, J.Q.[Ji-Qiao], Liu, D.[Dong], Chen, W.B.[Wei-Biao],
Performance Evaluation of Spaceborne Integrated Path Differential Absorption Lidar for Carbon Dioxide Detection at 1572 nm,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
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Bao, Z.Y.[Zheng-Yi], Zhang, X.Y.[Xing-Ying], Yue, T.X.[Tian-Xiang], Zhang, L.L.[Li-Li], Wang, Z.[Zong], Jiao, Y.M.[Yi-Meng], Bai, W.G.[Wen-Guang], Meng, X.Y.[Xiao-Yang],
Retrieval and Validation of XCO2 from TanSat Target Mode Observations in Beijing,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
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Kwiecien, J.[Janusz], Szopinska, K.[Kinga],
Mapping Carbon Monoxide Pollution of Residential Areas in a Polish City,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
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Nalli, N.R.[Nicholas R.], Tan, C.Y.[Chang-Yi], Warner, J.[Juying], Divakarla, M.[Murty], Gambacorta, A.[Antonia], Wilson, M.[Michael], Zhu, T.[Tong], Wang, T.Y.[Tian-Yuan], Wei, Z.[Zigang], Pryor, K.[Ken], Kalluri, S.[Satya], Zhou, L.[Lihang], Sweeney, C.[Colm], Baier, B.C.[Bianca C.], McKain, K.[Kathryn], Wunch, D.[Debra], Deutscher, N.M.[Nicholas M.], Hase, F.[Frank], Iraci, L.T.[Laura T.], Kivi, R.[Rigel], Morino, I.[Isamu], Notholt, J.[Justus], Ohyama, H.[Hirofumi], Pollard, D.F.[David F.], Té, Y.[Yao], Velazco, V.A.[Voltaire A.], Warneke, T.[Thorsten], Sussmann, R.[Ralf], Rettinger, M.[Markus],
Validation of Carbon Trace Gas Profile Retrievals from the NOAA-Unique Combined Atmospheric Processing System for the Cross-Track Infrared Sounder,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
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Carbon dioxide, Satellites, Atmospheric measurements, Interpolation, Semantics, Data models, Uncertainty, column-averaged CO2 dry air mole fractions (XCO2) BibRef

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Shi, H., Li, Z., Ye, H., Luo, H., Xiong, W., Wang, X.,
First Level 1 Product Results of the Greenhouse Gas Monitoring Instrument on the GaoFen-5 Satellite,
GeoRS(59), No. 2, February 2021, pp. 899-914.
IEEE DOI 2101
Satellites, Calibration, Instruments, Optical interferometry, Signal to noise ratio, Data processing, Greenhouse effect, spectrum BibRef

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Remote Sensing Supported Sea Surface pCO2 Estimation and Variable Analysis in the Baltic Sea,
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Junttila, S.[Sofia], Kelly, J.[Julia], Kljun, N.[Natascha], Aurela, M.[Mika], Klemedtsson, L.[Leif], Lohila, A.[Annalea], Nilsson, M.B.[Mats B.], Rinne, J.[Janne], Tuittila, E.S.[Eeva-Stiina], Vestin, P.[Patrik], Weslien, P.[Per], Eklundh, L.[Lars],
Upscaling Northern Peatland CO2 Fluxes Using Satellite Remote Sensing Data,
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Hobbs, J.[Jonathan], Katzfuss, M.[Matthias], Zilber, D.[Daniel], Brynjarsdóttir, J.[Jenný], Mondal, A.[Anirban], Berrocal, V.[Veronica],
Spatial Retrievals of Atmospheric Carbon Dioxide from Satellite Observations,
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Mustafa, F.[Farhan], Wang, H.J.[Hui-Juan], Bu, L.B.[Ling-Bing], Wang, Q.[Qin], Shahzaman, M.[Muhammad], Bilal, M.[Muhammad], Zhou, M.Q.[Min-Qiang], Iqbal, R.[Rashid], Aslam, R.W.[Rana Waqar], Ali, M.A.[Md. Arfan], Qiu, Z.F.[Zhong-Feng],
Validation of GOSAT and OCO-2 against In Situ Aircraft Measurements and Comparison with CarbonTracker and GEOS-Chem over Qinhuangdao, China,
RS(13), No. 5, 2021, pp. xx-yy.
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Zhang, X.X.[Xin-Xin], Zhang, Y.[Ying], Bai, L.[Lu], Tao, J.H.[Jin-Hua], Chen, L.F.[Liang-Fu], Zou, M.M.[Ming-Min], Han, Z.F.[Zong-Fu], Wang, Z.B.[Zhi-Bao],
Retrieval of Carbon Dioxide Using Cross-Track Infrared Sounder (CrIS) on S-NPP,
RS(13), No. 6, 2021, pp. xx-yy.
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Grana, D.[Dario], Liu, M.L.[Ming-Liang], Ayani, M.[Mohit],
Prediction of CO2 Saturation Spatial Distribution Using Geostatistical Inversion of Time-Lapse Geophysical Data,
GeoRS(59), No. 5, May 2021, pp. 3846-3856.
IEEE DOI 2104
Rocks, Mathematical model, Predictive models, Data models, Computational modeling, Geophysical measurements, stochastic methods BibRef

Li, Q.H.[Qing-Hui], Sun, X.J.[Xue-Jin], Wang, X.L.[Xiao-Lei],
Cloud Phase Recognition Based on Oxygen A Band and CO2 1.6 µm Band,
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DOI Link 2105
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Shiraishi, T.[Tomohiro], Hirata, R.[Ryuichi], Hirano, T.[Takashi],
New Inventories of Global Carbon Dioxide Emissions through Biomass Burning in 2001-2020,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
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Zhu, Y.[Yadan], Yang, J.[Juxin], Zhang, X.X.[Xiao-Xi], Liu, J.Q.[Ji-Qiao], Zhu, X.P.[Xiao-Peng], Zang, H.G.[Hua-Guo], Xia, T.T.[Teng-Teng], Fan, C.C.[Chun-Can], Chen, X.[Xiao], Sun, Y.G.[Yan-Guang], Hou, X.[Xia], Chen, W.B.[Wei-Biao],
Performance Improvement of Spaceborne Carbon Dioxide Detection IPDA LIDAR Using Linearty Optimized Amplifier of Photo-Detector,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
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Alvim, D.S.[Débora Souza], Chiquetto, J.B.[Júlio Barboza], d'Amelio, M.T.S.[Monica Tais Siqueira], Khalid, B.[Bushra], Herdies, D.L.[Dirceu Luis], Pendharkar, J.[Jayant], Corrêa, S.M.[Sergio Machado], Figueroa, S.N.[Silvio Nilo], Frassoni, A.[Ariane], Capistrano, V.B.[Vinicius Buscioli], Boian, C.[Claudia], Kubota, P.Y.[Paulo Yoshio], Nobre, P.[Paulo],
Evaluating Carbon Monoxide and Aerosol Optical Depth Simulations from CAM-Chem Using Satellite Observations,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
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Wang, Q.[Qiao], Imasu, R.[Ryoichi], Arai, Y.[Yutaka], Ito, S.[Satoshi], Mizoguchi, Y.[Yasuko], Kondo, H.[Hiroaki], Xiao, J.F.[Jing-Feng],
Sub-Daily Natural CO2 Flux Simulation Based on Satellite Data: Diurnal and Seasonal Pattern Comparisons to Anthropogenic CO2 Emissions in the Greater Tokyo Area,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
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Zenevich, S.[Sergei], Gazizov, I.[Iskander], Churbanov, D.[Dmitry], Plyashkov, Y.[Yegor], Spiridonov, M.[Maxim], Talipov, R.[Ravil], Rodin, A.[Alexander],
A Concept of 2U Spaceborne Multichannel Heterodyne Spectroradiometer for Greenhouse Gases Remote Sensing,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
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Boesch, H.[Hartmut], Liu, Y.[Yi], Tamminen, J.[Johanna], Yang, D.X.[Dong-Xu], Palmer, P.I.[Paul I.], Lindqvist, H.[Hannakaisa], Cai, Z.N.[Zhao-Nan], Che, K.[Ke], di Noia, A.[Antonio], Feng, L.[Liang], Hakkarainen, J.[Janne], Ialongo, I.[Iolanda], Kalaitzi, N.[Nikoleta], Karppinen, T.[Tomi], Kivi, R.[Rigel], Kivimäki, E.[Ella], Parker, R.J.[Robert J.], Preval, S.[Simon], Wang, J.[Jing], Webb, A.J.[Alex J.], Yao, L.[Lu], Chen, H.L.[Hui-Lin],
Monitoring Greenhouse Gases from Space,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
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Sun, H.W.[Hong-Wei], He, J.Y.[Jun-Yu], Chen, Y.H.[Yi-Hui], Zhao, B.[Boyu],
Space-Time Sea Surface pCO2 Estimation in the North Atlantic Based on CatBoost,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
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Zhang, Q.W.[Qin-Wei], Li, M.Q.[Ming-Qi], Wang, M.H.[Mao-Hua], Mizzi, A.P.[Arthur Paul], Huang, Y.J.[Yong-Jian], Wei, C.[Chong], Jin, J.P.[Jiu-Ping], Gu, Q.R.[Qian-Rong],
CO2 Flux over the Contiguous United States in 2016 Inverted by WRF-Chem/DART from OCO-2 XCO2 Retrievals,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
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And: Correction: RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
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Sheng, M.Y.[Meng-Ya], Lei, L.P.[Li-Ping], Zeng, Z.C.[Zhao-Cheng], Rao, W.Q.[Wei-Qiang], Zhang, S.Q.[Shao-Qing],
Detecting the Responses of CO2 Column Abundances to Anthropogenic Emissions from Satellite Observations of GOSAT and OCO-2,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
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Zhang, S.Q.[Shao-Qing], Lei, L.P.[Li-Ping], Sheng, M.Y.[Meng-Ya], Song, H.[Hao], Li, L.[Luman], Guo, K.Y.[Kai-Yuan], Ma, C.H.[Cai-Hong], Liu, L.Y.[Liang-Yun], Zeng, Z.C.[Zhao-Cheng],
Evaluating Anthropogenic CO2 Bottom-Up Emission Inventories Using Satellite Observations from GOSAT and OCO-2,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
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Zhang, H.[Haowei], Ma, X.[Xin], Han, G.[Ge], Xu, H.[Hao], Shi, T.Q.[Tian-Qi], Zhong, W.Q.[Wan-Qin], Gong, W.[Wei],
Study on Collaborative Emission Reduction in Green-House and Pollutant Gas Due to COVID-19 Lockdown in China,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
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Mermigkas, M.[Marios], Topaloglou, C.[Chrysanthi], Balis, D.[Dimitrios], Koukouli, M.E.[Maria Elissavet], Hase, F.[Frank], Dubravica, D.[Darko], Borsdorff, T.[Tobias], Lorente, A.[Alba],
FTIR Measurements of Greenhouse Gases over Thessaloniki, Greece in the Framework of COCCON and Comparison with S5P/TROPOMI Observations,
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Ma, X.[Xin], Zhang, H.[Haowei], Han, G.[Ge], Mao, F.Y.[Fei-Yue], Xu, H.[Hao], Shi, T.Q.[Tian-Qi], Hu, H.[Hao], Sun, T.T.[Tong-Tong], Gong, W.[Wei],
A Regional Spatiotemporal Downscaling Method for CO2 Columns,
GeoRS(59), No. 10, October 2021, pp. 8084-8093.
IEEE DOI 2109
Interpolation, Spatiotemporal phenomena, Satellites, Libraries, Sea measurements, Europe, Image color analysis, Downscaling, OCO-2, XCO2 BibRef

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Towards Robust Calculation of Interannual CO2 Growth Signal from TCCON (Total Carbon Column Observing Network),
RS(13), No. 19, 2021, pp. xx-yy.
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Jeong, U.[Ukkyo], Hong, H.[Hyunkee],
Comparison of Total Column and Surface Mixing Ratio of Carbon Monoxide Derived from the TROPOMI/Sentinel-5 Precursor with In-Situ Measurements from Extensive Ground-Based Network over South Korea,
RS(13), No. 19, 2021, pp. xx-yy.
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Romaniello, V.[Vito], Spinetti, C.[Claudia], Silvestri, M.[Malvina], Buongiorno, M.F.[Maria Fabrizia],
A Methodology for CO2 Retrieval Applied to Hyperspectral PRISMA Data,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
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Wen, Z.D.[Zhi-Dan], Shang, Y.X.[Ying-Xin], Lyu, L.[Lili], Li, S.[Sijia], Tao, H.[Hui], Song, K.[Kaishan],
A Review of Quantifying pCO2 in Inland Waters with a Global Perspective: Challenges and Prospects of Implementing Remote Sensing Technology,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
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Wrobel-Niedzwiecka, I.[Iwona], Kitowska, M.[Malgorzata], Makuch, P.[Przemyslaw], Markuszewski, P.[Piotr],
The Distribution of pCO2W and Air-Sea CO2 Fluxes Using FFNN at the Continental Shelf Areas of the Arctic Ocean,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
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Ye, H.H.[Han-Han], Shi, H.L.[Hai-Liang], Li, C.[Chao], Wang, X.H.[Xian-Hua], Xiong, W.[Wei], An, Y.[Yuan], Wang, Y.[Yue], Liu, L.C.[Liang-Chen],
A Coupled BRDF CO2 Retrieval Method for the GF-5 GMI and Improvements in the Correction of Atmospheric Scattering,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
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Huang, Y.J.[Yong-Jian], Wei, J.M.[Jian-Ming], Jin, J.[Jiupin], Zhou, Z.W.[Zhi-Wei], Gu, Q.[Qianrong],
CO Fluxes in Western Europe during 2017-2020 Winter Seasons Inverted by WRF-Chem/Data Assimilation Research Testbed with MOPITT Observations,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
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Zhao, L.[Liang], Chen, S.[Shengbo], Xue, Y.[Yong], Cui, T.F.[Teng-Fei],
Study of Atmospheric Carbon Dioxide Retrieval Method Based on Normalized Sensitivity,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
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Zhang, Z.[Zhen], Chatterjee, A.[Abhishek], Ott, L.[Lesley], Reichle, R.[Rolf], Feldman, A.F.[Andrew F.], Poulter, B.[Benjamin],
Effect of Assimilating SMAP Soil Moisture on CO2 and CH4 Fluxes through Direct Insertion in a Land Surface Model,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
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Lopez, F.P.A.[Franz Pablo Antezana], Zhou, G.H.[Guan-Hua], Jing, G.[Guifei], Zhang, K.[Kai], Tan, Y.M.[Yu-Min],
XCO2 and XCH4 Reconstruction Using GOSAT Satellite Data Based on EOF-Algorithm,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
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Kong, X.Y.[Xiao-Yang], Wang, X.F.[Xian-Feng], Jia, M.[Man], Li, Q.[Qi],
Estimating the Carbon Emissions of Remotely Sensed Energy-Intensive Industries Using VIIRS Thermal Anomaly-Derived Industrial Heat Sources and Auxiliary Data,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
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Yang, Y.[Yuepeng], Li, Q.[Qian], Wang, H.Y.[Hao-Yue], Bai, Z.X.[Zhi-Xuan], Li, D.[Dan], Wang, W.G.[Wei-Guo], Bian, J.C.[Jian-Chun],
Contributions of Various Sources to the Higher-Concentration Center of CO within the ASM Anticyclone Based on GEOS-Chem Simulations,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
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Costa, G.B.[Gabriel B.], Santos e Silva, C.M.[Cláudio M.], Mendes, K.R.[Keila R.], dos Santos, J.G.M.[José G. M.], Neves, T.T.A.T.[Theomar T. A. T.], Silva, A.S.[Alex S.], Rodrigues, T.R.[Thiago R.], Silva, J.B.[Jonh B.], Dalmagro, H.J.[Higo J.], Mutti, P.R.[Pedro R.], Nunes, H.G.G.C.[Hildo G. G. C.], Peres, L.V.[Lucas V.], Santana, R.A.S.[Raoni A. S.], Viana, L.B.[Losany B.], Almeida, G.V.[Gabriele V.], Bezerra, B.G.[Bergson G.], Marques, T.V.[Thiago V.], Ferreira, R.R.[Rosaria R.], Oliveira, C.P.[Cristiano P.], Gonçalves, W.A.[Weber A.], Campos, S.[Suany], Andrade, M.U.G.[Maria U. G.],
WUE and CO2 Estimations by Eddy Covariance and Remote Sensing in Different Tropical Biomes,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
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Ma, W.T.[Wen-Tao], Wang, Y.T.[Yun-Tao], Bai, Y.[Yan], Ma, X.L.[Xiao-Lin], Yu, Y.[Yi], Zhang, Z.W.[Zhi-Wei], Xi, J.Y.[Jing-Yuan],
Seasonal Variability in Chlorophyll and Air-Sea CO2 Flux in the Sri Lanka Dome: Hydrodynamic Implications,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
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Jin, R.[Rui], Yu, T.[Tan], Tao, B.[Bangyi], Shao, W.Z.[Wei-Zeng], Hu, S.[Song], Wei, Y.L.[Yong-Liang],
Influence of the Nocturnal Effect on the Estimated Global CO2 Flux,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
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And: Correction: RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
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Lin, X.[Xiwen], Ma, J.J.[Jin-Ji], Chen, H.[Hao], Shen, F.[Fei], Ahmad, S.[Safura], Li, Z.Q.[Zheng-Qiang],
Carbon Emissions Estimation and Spatiotemporal Analysis of China at City Level Based on Multi-Dimensional Data and Machine Learning,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
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Zhou, M.Q.[Min-Qiang], Ni, Q.[Qichen], Cai, Z.N.[Zhao-Nan], Langerock, B.[Bavo], Nan, W.D.[Wei-Dong], Yang, Y.[Yang], Che, K.[Ke], Yang, D.X.[Dong-Xu], Wang, T.[Ting], Liu, Y.[Yi], Wang, P.[Pucai],
CO2 in Beijing and Xianghe Observed by Ground-Based FTIR Column Measurements and Validation to OCO-2/3 Satellite Observations,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Zhang, Y.C.[Yu-Cong], Liu, X.J.[Xin-Jie], Lei, L.P.[Li-Ping], Liu, L.Y.[Liang-Yun],
Estimating Global Anthropogenic CO2 Gridded Emissions Using a Data-Driven Stacked Random Forest Regression Model,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
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Hwang, Y.S.[Young-Seok], Schlüter, S.[Stephan], Um, J.S.[Jung-Sup],
Spatial Cross-Correlation of GOSAT CO2 Concentration with Repeated Heat Wave-Induced Photosynthetic Inhibition in Europe from 2009 to 2017,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
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Jiang, Y.T.[Yu-Tong], Gao, Z.K.[Ze-Kun], He, J.Y.[Jun-Yu], Wu, J.P.[Jia-Ping], Christakos, G.[George],
Application and Analysis of XCO2 Data from OCO Satellite Using a Synthetic DINEOF-BME Spatiotemporal Interpolation Framework,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
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Xiao, J.Y.[Jian-Yong], Xie, B.G.[Bing-Geng], Zhou, K.C.[Kai-Chun], Li, J.H.[Jun-Han], Xie, J.[Jing], Liang, C.[Chao],
Contributions of Climate Change, Vegetation Growth, and Elevated Atmospheric CO2 Concentration to Variation in Water Use Efficiency in Subtropical China,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
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Zuo, C.[Chen], Gong, W.[Wei], Gao, Z.[Zhiyu], Kong, D.[Deyi], Wei, R.[Ruyi], Ma, X.[Xin],
Correlation Analysis of CO2 Concentration Based on DMSP-OLS and NPP-VIIRS Integrated Data,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
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Jia, T.[Tao], Zhang, P.C.[Peng-Cheng], Chen, B.[Biyu],
A Microscopic Model of Vehicle CO2 Emissions Based on Deep Learning: A Spatiotemporal Analysis of Taxicabs in Wuhan, China,
ITS(23), No. 10, October 2022, pp. 18446-18455.
IEEE DOI 2210
Correlation, Roads, Data models, Vehicle driving, Microscopy, Global Positioning System, Trajectory, Deep learning, trajectory data BibRef

Xia, S.Y.[Shi-Yu], Shao, H.Y.[Huai-Yong], Wang, H.[Hao], Xian, W.[Wei], Shao, Q.[Qiufang], Yin, Z.Q.[Zi-Qiang], Qi, J.G.[Jia-Guo],
Spatio-Temporal Dynamics and Driving Forces of Multi-Scale CO2 Emissions by Integrating DMSP-OLS and NPP-VIIRS Data: A Case Study in Beijing-Tianjin-Hebei, China,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
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di Bernardino, A.[Annalisa], Jennings, V.[Valeria], Dell'Omo, G.[Giacomo],
Bird-Borne Samplers for Monitoring CO2 and Atmospheric Physical Parameters,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
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Yue, B.[Bin], Yu, S.[Saifen], Li, M.[Manyi], Wei, T.W.[Tian-Wen], Yuan, J.L.[Jin-Long], Zhang, Z.[Zhen], Dong, J.J.[Jing-Jing], Jiang, Y.[Yue], Yang, Y.J.[Yuan-Jian], Gao, Z.Q.[Zhi-Qiu], Xia, H.Y.[Hai-Yun],
Local-Scale Horizontal CO2 Flux Estimation Incorporating Differential Absorption Lidar and Coherent Doppler Wind Lidar,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
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Wang, Q.[Qin], Mustafa, F.[Farhan], Bu, L.B.[Ling-Bing], Yang, J.X.[Ju-Xin], Fan, C.C.[Chun-Can], Liu, J.Q.[Ji-Qiao], Chen, W.B.[Wei-Biao],
Monitoring of Atmospheric Carbon Dioxide over a Desert Site Using Airborne and Ground Measurements,
RS(14), No. 20, 2022, pp. xx-yy.
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An, N.[Ning], Mustafa, F.[Farhan], Bu, L.B.[Ling-Bing], Xu, M.[Ming], Wang, Q.[Qin], Shahzaman, M.[Muhammad], Bilal, M.[Muhammad], Ullah, S.[Safi], Feng, Z.[Zhang],
Monitoring of Atmospheric Carbon Dioxide over Pakistan Using Satellite Dataset,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
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Chen, Y.Y.[Yuan-Yuan], Cheng, J.F.[Jie-Feng], Song, X.D.[Xiao-Dong], Liu, S.[Shuo], Sun, Y.[Yuan], Yu, D.J.[Da-Jiang], Fang, S.[Shuangxi],
Global-Scale Evaluation of XCO2 Products from GOSAT, OCO-2 and CarbonTracker Using Direct Comparison and Triple Collocation Method,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
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Wang, Y.[Yuan], Yuan, Q.Q.[Qiang-Qiang], Zhou, S.[Siqin], Zhang, L.P.[Liang-Pei],
Global Spatiotemporal Completion of Daily High-Resolution TCCO from TROPOMI over Land Using a Swath-Based Local Ensemble Learning Method,
PandRS(194), 2022, pp. 167-180.
Elsevier DOI 2212
Total Column Carbon Monoxide. Global TCCO, TROPOMI, High spatial resolution, Full-coverage, Swath-based Local BibRef

Chen, S.[Su], Chen, P.[Peng], Ding, L.[Lei], Pan, D.[Delu],
Assessments of the Above-Ocean Atmospheric CO2 Detection Capability of the GAS Instrument Onboard the Next-Generation FengYun-3H Satellite,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
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Xu, Z.[Zhuo], Zhang, F.J.[Feng-Jiao], Juhlin, C.[Christopher], Gong, X.B.[Xiang-Bo], Han, L.G.[Li-Guo], Cosma, C.[Calin], Lueth, S.[Stefan],
Time-Lapse Cross-Well Monitoring of CO2 Sequestration Using Coda Wave Interferometry,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
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Zhou, L.[Lei], Song, J.[Jun], Chi, Y.G.[Yong-Gang], Yu, Q.Z.[Quan-Zhou],
Differential Spatiotemporal Patterns of CO2 Emissions in Eastern China's Urban Agglomerations from NPP/VIIRS Nighttime Light Data Based on a Neural Network Algorithm,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
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Li, Y.[Yuan], Mi, W.[Wujuan], Zhang, Y.H.[Yu-Heng], Ji, L.[Li], He, Q.[Qiusheng], Wang, Y.Z.[Yuan-Zhu], Bi, Y.H.[Yong-Hong],
Change of Human Footprint in China and Its Implications for Carbon Dioxide (CO2) Emissions,
RS(15), No. 2, 2023, pp. xx-yy.
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Liang, Z.L.[Zi-Ling], Zhu, F.R.[Fang-Rui], Liang, T.[Tian], Luo, F.[Fuhai], Luo, J.L.[Jia-Li],
Spatiotemporal Distribution of CO in the UTLS Region in the Asian Summer Monsoon Season: Analysis of MLS Observations and CMIP6 Simulations,
RS(15), No. 2, 2023, pp. xx-yy.
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Xia, T.T.[Teng-Teng], Liu, J.Q.[Ji-Qiao], Liu, Z.[Zheng], Yue, F.X.[Fang-Xin], Yang, F.[Fu], Zhu, X.P.[Xiao-Peng], Chen, W.B.[Wei-Biao],
Simulation and Performance Evaluation of Laser Heterodyne Spectrometer Based on CO2 Absorption Cell,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
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Zhang, Q.[Qi], Smith, W.[William], Shao, M.[Min],
The Potential of Monitoring Carbon Dioxide Emission in a Geostationary View with the GIIRS Meteorological Hyperspectral Infrared Sounder,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
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Luo, H.Y.[Hai-Yan], Li, Z.W.[Zhi-Wei], Wu, Y.[Yang], Qiu, Z.W.[Zhen-Wei], Shi, H.L.[Hai-Liang], Wang, Q.S.[Qian-Sheng], Xiong, W.[Wei],
Greenhouse Gases Monitoring Instrument on GaoFen-5 Satellite-II: Optical Design and Evaluation,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
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Shi, H.L.[Hai-Liang], Xiong, W.[Wei], Ye, H.[Hanhan], Wu, S.C.[Shi-Chao], Zhu, F.[Feng], Li, Z.W.[Zhi-Wei], Luo, H.Y.[Hai-Yan], Li, C.[Chao], Wang, X.H.[Xian-Hua],
High Resolution Fourier Transform Spectrometer for Ground-Based Verification of Greenhouse Gases Satellites,
RS(15), No. 6, 2023, pp. 1671.
DOI Link 2304
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Zhao, Y.[You], Zhou, Y.[Yuan], Jiang, C.C.[Chen-Chen], Wu, J.[Jinnan],
Mapping and Influencing the Mechanism of CO2 Emissions from Building Operations Integrated Multi-Source Remote Sensing Data,
RS(15), No. 8, 2023, pp. 2204.
DOI Link 2305
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Ulrich, V.[Veit], Brückner, J.[Josephine], Schultz, M.[Michael], Vardag, S.N.[Sanam Noreen], Ludwig, C.[Christina], Fürle, J.[Johannes], Zia, M.[Mohammed], Lautenbach, S.[Sven], Zipf, A.[Alexander],
Private Vehicles Greenhouse Gas Emission Estimation at Street Level for Berlin Based on Open Data,
IJGI(12), No. 4, 2023, pp. 138.
DOI Link 2305
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Li, C.H.[Cong-Hui], Zhong, Q.L.[Quan-Lin], Li, B.Y.[Bao-Yin],
Clustering-Based Neural Network for Carbon Dioxide Estimation,
IEICE(E106-D), No. 5, May 2023, pp. 829-832.
WWW Link. 2305
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Gao, D.[Dexiang], Yao, J.Y.[Jing-Yu], Yu, S.[Shuting], Ma, Y.L.[Yu-Long], Li, L.[Lei], Gao, Z.M.[Zhong-Ming],
Eddy Covariance CO2 Flux Gap Filling for Long Data Gaps: A Novel Framework Based on Machine Learning and Time Series Decomposition,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Crivelari-Costa, P.M.[Patrícia Monique], Lima, M.[Mendelson], Newton La Scala, Jr., Rossi, F.S.[Fernando Saragosa], Della-Silva, J.L.[João Lucas], Dalagnol, R.[Ricardo], Teodoro, P.E.[Paulo Eduardo], Teodoro, L.P.R.[Larissa Pereira Ribeiro], de Oliveira, G.[Gabriel], de Oliveira-Junior, J.F.[José Francisco], da Silva-Junior, C.A.[Carlos Antonio],
Changes in Carbon Dioxide Balance Associated with Land Use and Land Cover in Brazilian Legal Amazon Based on Remotely Sensed Imagery,
RS(15), No. 11, 2023, pp. 2780.
DOI Link 2306
BibRef

Zhang, Z.[Zhenduo], Wang, H.J.[Hui-Jie], Cao, K.[Kai], Li, Y.[Ying],
Using a Convolutional Neural Network and Mid-Infrared Spectral Images to Predict the Carbon Dioxide Content of Ship Exhaust,
RS(15), No. 11, 2023, pp. 2721.
DOI Link 2306
BibRef

Wang, Y.J.[Yan-Jun], Wang, M.J.[Meng-Jie], Teng, F.[Fei], Ji, Y.[Yiye],
Remote Sensing Monitoring and Analysis of Spatiotemporal Changes in China's Anthropogenic Carbon Emissions Based on XCO2 Data,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Li, H.X.[Hai-Xiao], Lian, Y.[Yi], Renyang, Q.Q.[Qian-Qian], Liu, L.[Le], Qu, Z.H.[Zi-Han], Lee, L.C.[Lien-Chieh],
Regional Atmospheric CO2 Response to Ecosystem CO2 Budgets in China,
RS(15), No. 13, 2023, pp. 3320.
DOI Link 2307
BibRef

Li, C.[Chao], Wang, X.H.[Xian-Hua], Ye, H.[Hanhan], Wu, S.C.[Shi-Chao], Shi, H.L.[Hai-Liang], Luo, H.Y.[Hai-Yan], Li, Z.W.[Zhi-Wei], Xiong, W.[Wei], Li, D.C.[Da-Cheng], Sun, E.[Erchang], An, Y.[Yuan],
Evaluation of Simulated CO2 Point Source Plumes from High-Resolution Atmospheric Transport Model,
RS(15), No. 18, 2023, pp. 4518.
DOI Link 2310
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Fang, J.J.[Jun-Jun], Chen, B.Z.[Bao-Zhang], Zhang, H.F.[Hui-Fang], Dilawar, A.[Adil], Guo, M.[Man], Liu, C.L.[Chun-Lin], Liu, S.[Shu'an], Gemechu, T.M.[Tewekel Melese], Zhang, X.Y.[Xing-Ying],
Global Evaluation and Intercomparison of XCO2 Retrievals from GOSAT, OCO-2, and TANSAT with TCCON,
RS(15), No. 20, 2023, pp. 5073.
DOI Link 2310
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Wu, K.[Kai], Yang, D.[Dongxu], Liu, Y.[Yi], Cai, Z.[Zhaonan], Zhou, M.Q.[Min-Qiang], Feng, L.[Liang], Palmer, P.I.[Paul I.],
Evaluating the Ability of the Pre-Launch TanSat-2 Satellite to Quantify Urban CO2 Emissions,
RS(15), No. 20, 2023, pp. 4904.
DOI Link 2310
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Zheng, J.H.[Jin-Hui], Zhang, H.F.[Hui-Fang], Zhang, S.[Shuai],
Comparison of Atmospheric Carbon Dioxide Concentrations Based on GOSAT, OCO-2 Observations and Ground-Based TCCON Data,
RS(15), No. 21, 2023, pp. 5172.
DOI Link 2311
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Li, R.[Ruoxi], Zhou, X.[Xiang], Cheng, T.[Tianhai], Tao, Z.[Zui], Gu, X.F.[Xing-Fa], Wang, N.[Ning], Zhang, H.M.[Hong-Ming], Lv, T.T.[Ting-Ting],
The Influence of Validation Colocation on XCO2 Satellite-Terrestrial Joint Observations,
RS(15), No. 22, 2023, pp. 5270.
DOI Link 2311
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Niu, H.L.[Han-Lin], Hu, X.M.[Xiao-Ming], Shang, L.[Lunyu], Meng, X.H.[Xian-Hong], Wang, S.Y.[Shao-Ying], Li, Z.G.[Zhao-Guo], Zhao, L.[Lin], Chen, H.[Hao], Deng, M.[Mingshan], Sheng, D.[Danrui],
Evaluation of Original and Water Stress-Incorporated Modified Weather Research and Forecasting Vegetation Photosynthesis and Respiration Model in Simulating CO2 Flux and Concentration Variability over the Tibetan Plateau,
RS(15), No. 23, 2023, pp. 5474.
DOI Link 2312
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Zhao, R.X.[Rui-Xue], Yang, Q.[Qian], Wen, Z.D.[Zhi-Dan], Fang, C.[Chong], Li, S.[Sijia], Shang, Y.X.[Ying-Xin], Liu, G.[Ge], Tao, H.[Hui], Lyu, L.[Lili], Song, K.[Kaishan],
Satellite Estimation of pCO2 and Quantification of CO2 Fluxes in China's Chagan Lake in the Context of Climate Change,
RS(15), No. 24, 2023, pp. 5680.
DOI Link 2401
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Nerobelov, G.[Georgii], Timofeyev, Y.[Yuri], Foka, S.[Stefani], Smyshlyaev, S.[Sergei], Poberovskiy, A.[Anatoliy], Sedeeva, M.[Margarita],
Complex Validation of Weather Research and Forecasting: Chemistry Modelling of Atmospheric CO2 in the Coastal Cities of the Gulf of Finland,
RS(15), No. 24, 2023, pp. 5757.
DOI Link 2401
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Xu, R.[Ruize], Zhang, J.H.[Jia-Hua], Wang, J.W.[Jing-Wen], Yao, F.[Fengmei], Zhang, S.[Sha],
Quantitative Assessment of Factors Influencing the Spatiotemporal Variation in Carbon Dioxide Fluxes Simulated by Multi-Source Remote Sensing Data in Tropical Vegetation,
RS(15), No. 24, 2023, pp. 5677.
DOI Link 2401
BibRef

Shi, Z.F.[Zhi-Fang], Cui, Y.[Yaoping], Wu, L.Y.[Li-Yang], Zhou, Y.[Yan], Li, M.[Mengdi], Zhou, S.H.[Sheng-Hui],
Simulation Study on the Effect of Elevated CO2 on Regional Temperature Change on the Loess Plateau,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Lin, J.R.[Jing-Rou], Sun, Q.Y.[Qing-Yang], Liu, Y.P.[Yu-Peng], Ye, H.J.[Hai-Jun], Tang, D.L.[Dan-Ling], Zhang, X.[Xiaohao], Gao, Y.[Yang],
Sea Surface pCO2 Response to Typhoon 'Wind Pump' and Kuroshio Intrusion in the Northeastern South China Sea,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Li, Y.Q.[Ya-Qian], Chen, Y.L.[Yi-Le], Cai, Q.[Qi], Zhu, L.J.[Liu-Jun],
Calculation of CO2 Emissions from China at Regional Scales Using Remote Sensing Data,
RS(16), No. 3, 2024, pp. 544.
DOI Link 2402
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Cui, Y.J.[Yue-Ju], Huang, J.A.[Jian-An], Zeng, Z.J.[Zhao-Jun], Zou, Z.Y.[Zhen-Yu],
CO Emissions Associated with Three Major Earthquakes Occurring in Diverse Tectonic Environments,
RS(16), No. 3, 2024, pp. 480.
DOI Link 2402
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Chen, J.B.[Jia-Bin], Hu, R.[Ruohua], Chen, L.[Leyan], Liao, Z.H.[Zi-Hao], Che, L.L.[Lin-Lin], Li, T.[Tongwen],
Multi-sensor integrated mapping of global XCO2 from 2015 to 2021 with a local random forest model,
PandRS(208), 2024, pp. 107-120.
Elsevier DOI Code:
WWW Link. 2402
XCO, Local random forest, Global distribution, Spatial and temporal variation BibRef

Wang, J.X.[Jia-Xin], Zhou, M.Q.[Min-Qiang], Langerock, B.[Bavo], Nan, W.D.[Wei-Dong], Wang, T.[Ting], Wang, P.[Pucai],
Optimizing the Atmospheric CO2 Retrieval Based on the NDACC-Type FTIR Mid-Infrared Spectra at Xianghe, China,
RS(16), No. 5, 2024, pp. 900.
DOI Link 2403
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Couture, H.D.[Heather D.], Alvara, M.[Madison], Freeman, J.[Jeremy], Davitt, A.[Aaron], Koenig, H.[Hannes], Kargar, A.R.[Ali Rouzbeh], O'Connor, J.[Joseph], Soldner-Rembold, I.[Isabella], Ferreira, A.[Andr©], Jeyaratnam, J.[Jeyavinoth], Lewis, J.[Jordan], McCormick, C.[Colin], Nakano, T.[Tiffany], Dalisay, C.[Charmaine], Lewis, C.[Christy], Volpato, G.[Gabriela], Gray, M.[Matthew], McCormick, G.[Gavin],
Estimating Carbon Dioxide Emissions from Power Plant Water Vapor Plumes Using Satellite Imagery and Machine Learning,
RS(16), No. 7, 2024, pp. 1290.
DOI Link 2404
BibRef

Clavier, C.[Cannelle], Meftah, M.[Mustapha], Sarkissian, A.[Alain], Romand, F.[Frédéric], d'Andon, O.H.F.[Odile Hembise Fanton], Mangin, A.[Antoine], Bekki, S.[Slimane], Dahoo, P.R.[Pierre-Richard], Galopeau, P.[Patrick], Lefèvre, F.[Franck], Hauchecorne, A.[Alain], Keckhut, P.[Philippe],
Assessing Greenhouse Gas Monitoring Capabilities Using SolAtmos End-to-End Simulator: Application to the Uvsq-Sat NG Mission,
RS(16), No. 8, 2024, pp. 1442.
DOI Link 2405
BibRef

Shi, W.Q.[Wan-Qi], Xiang, Y.[Yeyu], Ying, Y.X.[Yu-Xuan], Jiao, Y.Q.[Yu-Qin], Zhao, R.[Rui], Qiu, W.[Waishan],
Predicting Neighborhood-Level Residential Carbon Emissions from Street View Images Using Computer Vision and Machine Learning,
RS(16), No. 8, 2024, pp. 1312.
DOI Link 2405
BibRef

Sun, L.[Lu], Yu, S.Q.[Si-Qi], Liu, D.[Dong],
Characterization of Aerosol and CO2 Co-Emissions around Power Plants through Satellite-Based Synergistic Observations,
RS(16), No. 9, 2024, pp. 1609.
DOI Link 2405
BibRef

Li, J.Y.[Jia-Ying], Zhang, X.Y.[Xiao-Ye], Guo, L.F.[Li-Feng], Zhong, J.T.[Jun-Ting], Wang, D.Y.[De-Ying], Wu, C.Y.[Chong-Yuan], Jiang, L.F.[Li-Feng],
If Some Critical Regions Achieve Carbon Neutrality, How Will the Global Atmospheric CO2 Concentration Change?,
RS(16), No. 9, 2024, pp. 1486.
DOI Link 2405
BibRef


Ituen, I., Hu, B.,
Estimating Carbon and Greenhouse Gas Emissions in Remote Regions Of Canada,
ISPRS21(B3-2021: 575-580).
DOI Link 2201
BibRef

Fu, A.[Andre], Hosseini, M.S.[Mahdi S.], Plataniotis, K.N.[Konstantinos N.],
Reconsidering CO2 emissions from Computer Vision,
RCV21(2311-2317)
IEEE DOI 2109
Climate change, Pressing, Pattern recognition, Artificial intelligence BibRef

Cong, R., Saito, M., Hirata, R., Ito, A.,
Spatiotemporal Analysis On Co2 Emissions From Households in Japan,
PIA19(75-81).
DOI Link 1912
BibRef

Cholathat, R., Ge, L., Li, X., Hu, Z.,
Feasibility to Detect Signs of Potential CO2 Leakage with Multi-Temporal Spot Satellite Vegetation Imagery in Otway, Victoria,
AnnalsPRS(I-7), No. 2012, pp. 209-213.
DOI Link 1209
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Pollution, NOx Measurements, Nitric, Nitrous Oxide, Nitrogen Oxides .


Last update:Jun 5, 2024 at 10:22:22