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Examining the relationships between land cover and greenhouse gas concentrations using remote sensing data in East Asia

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/54805

Title: Examining the relationships between land cover and greenhouse gas concentrations using remote sensing data in East Asia
Authors: Guo, Meng Browse this author
Wang, Xiufeng Browse this author →KAKEN DB
Li, Jing Browse this author
Wang, Hongmei Browse this author
Tani, Hiroshi Browse this author
Issue Date: 12-Mar-2013
Publisher: Taylor & Francis
Journal Title: International Journal of Remote Sensing
Volume: 34
Issue: 12
Start Page: 4281
End Page: 4303
Publisher DOI: 10.1080/01431161.2013.775535
Abstract: Measurements of land-cover changes suggest that such shifts may alter atmospheric concentrations of greenhouse gases (GHGs). However, owing to the lack of large-scale GHG data, a quantitative description of the relationships between land-cover changes and GHG concentrations does not exist on a regional scale. The Greenhouse Gases Observing Satellite (GOSAT) launched by Japan on 23 January 2009 can be of use in investigating this issue. In this study, we first calculated the monthly average GHG concentrations in East Asia from April 2009 to October 2011 and found that CO2 concentration displays a seasonal cycle, but that the CH4 seasonal trend is unclear. To understand the relationship between land cover and GHG concentrations, we used GHG data from GOSAT, normalized difference vegetation index (NDVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) and land-cover data from EAS-GlobCover (2009) to analyse the correlation coefficients between land cover and GHG concentrations. We observed that vegetation may generally be considered as a source of, but not a sink for, CO2 and CH4, either on a yearly scale or during the growing season. With respect to the relationships between land-cover types and GHG concentrations, we conclude that on a yearly scale, land-cover types are not closely correlated with GHG concentrations. During the growing season, croplands and scrublands are negatively correlated with XCO2 (the ratio of the total number of CO2 molecules to that of dry air molecules), and forest, grasslands and bare areas are positively correlated with XCO2. Forest and croplands can be viewed as CH4 sources, while scrublands and grasslands can be thought of as CH4 sinks.
Rights: This is an Author's Accepted Manuscript of an article published in International Journal of Remote Sensing 34(12) 2013 copyright Taylor & Francis, available online at: http://www.tandfonline.com/10.1080/01431161.2013.775535.
Type: article (author version)
URI: http://hdl.handle.net/2115/54805
Appears in Collections:農学院・農学研究院 (Graduate School of Agriculture / Faculty of Agriculture) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 王 秀峰

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