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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
And:
Correction:
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link
2011
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Yang, H.[Hui],
Feng, G.F.[Ge-Fei],
Xiang, R.[Ru],
Xu, Y.J.[Yun-Jing],
Qin, Y.[Yong],
Li, S.N.[Song-Nian],
Spatio-Temporal Validation of AIRS CO2 Observations Using GAW, HIPPO
and TCCON,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link
2011
BibRef
And:
Correction:
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Bhattacharjee, S.,
Chen, J.,
Prediction of Satellite-Based Column CO2 Concentration by Combining
Emission Inventory and LULC Information,
GeoRS(58), No. 12, December 2020, pp. 8285-8300.
IEEE DOI
2012
Carbon dioxide, Satellites, Atmospheric measurements,
Interpolation, Semantics, Data models, Uncertainty,
column-averaged CO2 dry air mole fractions (XCO2)
BibRef
Qiu, R.N.[Ruo-Nan],
Han, G.[Ge],
Ma, X.[Xin],
Sha, Z.Y.[Zong-Yao],
Shi, T.Q.[Tian-Qi],
Xu, H.[Hao],
Zhang, M.[Miao],
CO2 Concentration, A Critical Factor Influencing the Relationship
between Solar-induced Chlorophyll Fluorescence and Gross Primary
Productivity,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Dai, S.Q.[Shao-Qing],
Ren, Y.[Yin],
Zuo, S.[Shudi],
Lai, C.Y.[Cheng-Yi],
Li, J.J.[Jia-Jia],
Xie, S.Y.[Sheng-Yu],
Chen, B.C.[Bing-Chu],
Investigating the Uncertainties Propagation Analysis of CO2 Emissions
Gridded Maps at the Urban Scale: A Case Study of Jinjiang City, China,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Xia, X.[Xinlu],
Zou, X.L.[Xiao-Lei],
Development of CO2 Band-Based Cloud Emission and Scattering Indices
and Their Applications to FY-3D Hyperspectral Infrared Atmospheric
Sounder,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Zhang, S.P.[Shu-Ping],
Rutgersson, A.[Anna],
Philipson, P.[Petra],
Wallin, M.B.[Marcus B.],
Remote Sensing Supported Sea Surface pCO2 Estimation and Variable
Analysis in the Baltic Sea,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link
2101
BibRef
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,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
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,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
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.
DOI Link
2103
BibRef
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.
DOI Link
2104
BibRef
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,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
And:
Correction:
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link
2204
BibRef
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
BibRef
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
BibRef
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
BibRef
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
Labzovskii, L.D.[Lev D.],
Kenea, S.T.[Samuel Takele],
Lindqvist, H.[Hannakaisa],
Kim, J.[Jinwon],
Li, S.[Shanlan],
Byun, Y.H.[Young-Hwa],
Goo, T.Y.[Tae-Young],
Towards Robust Calculation of Interannual CO2 Growth Signal from
TCCON (Total Carbon Column Observing Network),
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
BibRef
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.
DOI Link
2110
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
And:
Correction:
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link
2212
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Zuo, C.[Chen],
Gong, W.[Wei],
Gao, Z.Y.[Zhi-Yu],
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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.
DOI Link
2211
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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.
DOI Link
2301
BibRef
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.
DOI Link
2301
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Gao, D.X.[De-Xiang],
Yao, J.Y.[Jing-Yu],
Yu, S.T.[Shu-Ting],
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
BibRef
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
BibRef
Wu, K.[Kai],
Yang, D.X.[Dong-Xu],
Liu, Y.[Yi],
Cai, Z.N.[Zhao-Nan],
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
BibRef
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
BibRef
Li, R.X.[Ruo-Xi],
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Chen, J.B.[Jia-Bin],
Hu, R.H.[Ruo-Hua],
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
BibRef
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
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
Xie, F.[Fei],
Zhang, S.B.[Shuai-Bing],
Zhang, Q.P.[Qi-Peng],
Zhao, S.[Sidong],
Lai, M.[Min],
Research on the Geographical Pattern, Evolution Model, and Driving
Mechanism of Carbon Emission Density from Urban Industrial Land in
the Yangtze River Economic Belt of China,
IJGI(13), No. 6, 2024, pp. 192.
DOI Link
2406
BibRef
Hu, K.[Kai],
Feng, X.Y.[Xin-Yan],
Zhang, Q.[Qi],
Shao, P.F.[Peng-Fei],
Liu, Z.[Ziran],
Xu, Y.[Yao],
Wang, S.Q.[Shi-Qian],
Wang, Y.Y.[Yuan-Yuan],
Wang, H.[Han],
Di, L.[Li],
Xia, M.[Min],
Review of Satellite Remote Sensing of Carbon Dioxide Inversion and
Assimilation,
RS(16), No. 18, 2024, pp. 3394.
DOI Link
2410
BibRef
Song, M.[Mengru],
Wang, Y.J.[Yan-Jun],
Han, Y.S.[Yong-Shun],
Ji, Y.[Yiye],
Estimation Model and Spatio-Temporal Analysis of Carbon Emissions
from Energy Consumption with NPP-VIIRS-like Nighttime Light Images:
A Case Study in the Pearl River Delta Urban Agglomeration of China,
RS(16), No. 18, 2024, pp. 3407.
DOI Link
2410
BibRef
Xiang, C.Z.[Cheng-Zhi],
Mei, Y.[Yong],
Liang, A.[Ailin],
Analysis of Spatiotemporal Changes in Energy Consumption Carbon
Emissions at District and County Levels Based on Nighttime Light
Data: A Case Study of Jiangsu Province in China,
RS(16), No. 18, 2024, pp. 3514.
DOI Link
2410
BibRef
Wang, H.[Hui],
Li, D.[Dan],
Zhou, R.[Ruilin],
Hu, X.Y.[Xiao-Yu],
Wang, L.[Leyi],
Zhang, L.[Lang],
A New Method for Top-Down Inversion Estimation of Carbon Dioxide Flux
Based on Deep Learning,
RS(16), No. 19, 2024, pp. 3694.
DOI Link
2410
BibRef
Zhu, Q.Q.[Qian-Qian],
Wang, W.[Wei],
Shan, C.G.[Chang-Gong],
Xie, Y.[Yu],
Wu, P.[Peng],
Liang, B.[Bin],
Peng, X.[Xuan],
Qian, Z.W.[Zheng-Wei],
Liu, C.[Cheng],
Spatiotemporal Variations and Characteristics of CO, H2CO and HCN
Emissions from Biomass Burning Monitored by FTIR Spectroscopy,
RS(16), No. 19, 2024, pp. 3586.
DOI Link
2410
BibRef
Xiong, W.T.[Wei-Ting],
Zhang, Y.D.[Ye-Dong],
Li, J.G.[Jin-Gang],
Examining the Causal and Heterogeneous Influence of Three-Dimensional
Urban Forms on CO2 Emissions in 285 Chinese Cities,
IJGI(13), No. 11, 2024, pp. 372.
DOI Link
2412
BibRef
Qin, Z.L.[Zi-Long],
Sha, M.[Moquan],
Li, X.L.[Xiao-Lei],
Tu, J.[Jianguang],
Tan, X.C.[Xi-Cheng],
Sha, Z.[Zongyao],
Exploring the Contribution Roles from Municipal Cities in the Rise in
Household CO2 Emissions in China: From a Local Scale Analysis in the
Global Context,
RS(16), No. 22, 2024, pp. 4135.
DOI Link
2412
BibRef
Chen, Y.[Ying],
Zhao, H.[Hui],
Gao, H.[Hui],
Spatiotemporal Evolution of Air-Sea CO2 Flux in the South China Sea
and Its Response to Environmental Factors,
RS(16), No. 24, 2024, pp. 4724.
DOI Link
2501
BibRef
Chen, R.Z.[Rui-Zhi],
Wang, Z.[Zhongting],
Zhou, C.Y.[Chun-Yan],
Zhang, R.J.[Rui-Jie],
Xie, H.Z.[Hui-Zhen],
Li, H.[Huayou],
XCO2 Data Full-Coverage Mapping in China Based on Random Forest
Models,
RS(17), No. 1, 2025, pp. 48.
DOI Link
2501
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, Greenhouse Gasses .