Relationship between the geographical features of methane sources of SCIAMACHY and vegetation index of MODIS
Relationship between the geographical features of methane sources of SCIAMACHY and vegetation index of MODIS
复制标题
SCIAMACHY甲烷源地理特征与MODIS植被指数的关系
DOI：
10.1109/igarss.2014.6947615
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Youngjoo Kwak
中科院分区：
文献类型：
--
作者：
J Park;S Park;Youngjoo Kwak
在这项研究中，我们利用SCIAMACHY数据确定了全球甲烷(CH4)的排放浓度。我们对陆地和海域进行了分析，调查了2003-2011年间甲烷浓度的九年变化。其中我们减去了9年来陆地和海洋中的甲烷浓度。结果表明，不仅在北半球的水田中发现了大量的CH4排放浓度，而且在南半球(中非和南美洲)的常绿阔叶区也发现了大量的CH4排放浓度。并与排放大量CH4的常绿阔叶林和水田的降水量和生态环境指数进行了比较。因此，我们了解到东南亚水田与EVI有很强的相关性，常绿阔叶林与降水有很强的相关性。
In this study, we determined the concentration of global methane (CH4) emission using SCIAMACHY data. We analyzed land and sea area to investigate the nine-year changes of CH4concentration from 2003 to 2011. Where we subtracted the CH4concentration in land and sea during 9 years. It was cleared that a big amount of CH4emission concentration was found not only in paddy fields in the Northern Hemisphere but also in broadleaf evergreen areas in the Southern Hemisphere (Central Africa and South America). We compared with the precipitation and EVI to Broadleaf Evergreen Forest and paddy field which emitted a lot of CH4. As a result, we understood that paddy field in Southeast Asia has a strong correlation with EVI and Broadleaf Evergreen Forest has a strong correlation with precipitation.