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International Journal of Remote Sensing Volume 32, 2011 - Issue 3: Remote Sensing and Climate Change
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Original Articles

Spatial variations of atmospheric methane concentrations in China

Xiuying Zhang International Institute for Earth System Science, Nanjing University, Nanjing, China
,
Hong Jiang International Institute for Earth System Science, Nanjing University, Nanjing, China; State Key Laboratory of Subtropical Forest Science and Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration, Zhejiang Agriculture and Forestry University, Hangzhou, China
,
Yueqi Wang International Institute for Earth System Science, Nanjing University, Nanjing, China
,
Ying Han International Institute for Earth System Science, Nanjing University, Nanjing, ChinaCorrespondence[email protected]
,
M. Buchwitz Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
,
O. Schneising Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
&
J. P. Burrows Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
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Pages 833-847 | Published online: 26 Feb 2011

Citations (16)

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Read on this site (3)

J. Y. Qin, X. Y. Zhang, L. Liu, K. Qin & X. W. Xing. (2023) Estimating ground-level CH4 concentrations inferred from Sentinel-5P. International Journal of Remote Sensing 44:15, pages 4796-4814.
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Xiuying Zhang, Hong Jiang, Guomo Zhou, Zhongyong Xiao & Zhen Zhang. (2012) Geostatistical interpolation of missing data and downscaling of spatial resolution for remotely sensed atmospheric methane column concentrations. International Journal of Remote Sensing 33:1, pages 120-134.
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ArthurP. Cracknell & CostasA. Varotsos. (2011) New aspects of global climate-dynamics research and remote sensing. International Journal of Remote Sensing 32:3, pages 579-600.
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Articles from other publishers (13)

Muhammad Athar Khaliq, Farhan Mustafa, Shafeeq Ur Rehman, Muhammad Shahzaman, Zeeshan Javed, Muhammad Sagir, Safdar Bashir & Hongchao Zuo. (2024) Spatiotemporal investigation of near-surface CH4 and factors influencing CH4 over South, East, and Southeast Asia. Science of The Total Environment 922, pages 171311.
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Yuanyuan Wei, Xiaojing Yang, Xianting Qiu, Heli Wei & Chaoli Tang. (2023) Spatio-temporal variations of atmospheric methane and its response to climate on the Tibetan Plateau from 2010 to 2022. Atmospheric Environment 314, pages 120088.
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Haeyoung Lee, Wonick Seo, Shanlan Li, Soojeong Lee, Samuel Takele Kenea & Sangwon Joo. (2023) Measurement report: Atmospheric CH 4 at regional stations of the Korea Meteorological Administration–Global Atmosphere Watch Programme: measurement, characteristics, and long-term changes of its drivers . Atmospheric Chemistry and Physics 23:12, pages 7141-7159.
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Shengwei Li, Chunbo Wang, Pengyuan Gao, Bingjie Zhao, Chunlin Jin, Liang Zhao, Botao He & Yong Xue. (2023) High-Spatial-Resolution Methane Emissions Calculation Using TROPOMI Data by a Divergence Method. Atmosphere 14:2, pages 388.
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Shiyao Gong & Yusheng Shi. (2021) Evaluation of comprehensive monthly-gridded methane emissions from natural and anthropogenic sources in China. Science of The Total Environment 784, pages 147116.
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Xiaodi Wu, Xiuying Zhang, Xiaowei Chuai, Xianjin Huang & Zhen Wang. (2019) Long-Term Trends of Atmospheric CH4 Concentration across China from 2002 to 2016. Remote Sensing 11:5, pages 538.
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Christina Tonitto, Noel P. Gurwick & Peter B. Woodbury. 2016. Synthesis and Modeling of Greenhouse Gas Emissions and Carbon Storage in Agricultural and Forest Systems to Guide Mitigation and Adaptation. Synthesis and Modeling of Greenhouse Gas Emissions and Carbon Storage in Agricultural and Forest Systems to Guide Mitigation and Adaptation 229 304 .
Xiuchun Qin, Liping Lei, Zhonghua He, Zhao-Cheng Zeng, Masahiro Kawasaki, Masafumi Ohashi & Yutaka Matsumi. (2015) Preliminary Assessment of Methane Concentration Variation Observed by GOSAT in China. Advances in Meteorology 2015, pages 1-11.
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Dingyuan Zhang, Hong Liao & Yuesi Wang. (2014) Simulated spatial distribution and seasonal variation of atmospheric methane over China: Contributions from key sources. Advances in Atmospheric Sciences 31:2, pages 283-292.
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X. Zhang & H. Jiang. (2013) Spatial variations in methane emissions from natural wetlands in China. International Journal of Environmental Science and Technology 11:1, pages 77-86.
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Hao Lin, Bailang Yu, Zuoqi Chen, Yingjie Hu, Yan Huang, Jianping Wu, Bin Wu & Rong Ge. (2013) A geospatial web portal for sharing and analyzing greenhouse gas data derived from satellite remote sensing images. Frontiers of Earth Science 7:3, pages 295-309.
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Xiaomin Zhang, Xiuying Zhang, Linjing Zhang & Xinhui Li. (2013) Accuracy comparison of monthly AIRS, GOSAT and SCIAMACHY data in monitoring atmospheric CH<inf>4</inf> concentration. Accuracy comparison of monthly AIRS, GOSAT and SCIAMACHY data in monitoring atmospheric CH<inf>4</inf> concentration.
Xiuying Zhang, Hong Jiang, Xuehe Lu, Miaomiao Cheng, Xiaomin Zhang, Xinhui Li & Linjing Zhang. (2013) Estimate of methane release from temperate natural wetlands using ENVISAT/SCIAMACHY data in China. Atmospheric Environment 69, pages 191-197.
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