Relationship between the geographical features of methane sources of SCIAMACHY and vegetation index of MODIS

Author

Jonggeol Park ; Sooyoung Park ; Youngjoo Kwak

Author_Institution

Tokyo Univ. of Inf. Sci., Chiba, Japan

fYear

2014

fDate

13-18 July 2014

Firstpage

4986

Lastpage

4989

Abstract

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 CH₄ concentration from 2003 to 2011. Where we subtracted the CH₄ concentration in land and sea during 9 years. It was cleared that a big amount of CH₄ emission 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.

Keywords

atmospheric composition; atmospheric precipitation; AD 2003 to 2011; EVI; SCIAMACHY data; South America; broadleaf evergreen forest; central Africa; geographical features; global methane emission; land area; methane concentration; methane sources; northern hemisphere; paddy field; precipitation; sea area; southeast Asia; southern hemisphere; vegetation index; Atmosphere; Clouds; Global warming; Indexes; Rain; Satellites; Vegetation mapping; CH4; EVI; SCIMACHY; emission concentration; percipitation;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6947615

Filename

6947615