• DocumentCode
    3069233
  • Title

    Estimation of CH4 emission of natural wetland in Siberia

  • Author

    Sudesuriguge ; Takeuchi, Wataru

  • Author_Institution
    Inst. of Ind. Sci., Univ. of Tokyo, Tokyo, Japan
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    3777
  • Lastpage
    3780
  • Abstract
    Nowadays estimation methods by using remote sensing to approaching actual reality are come out one after the other even it is not easy to consider each of impact factors. In this paper using glob-cover land-cover map of Eastern Europe for the essential data, masking out the wetland distribution according classification. Then, in line with create 73 points interested in, through calculating snow coverage and LSWC (Land Surface Water Coverage) offset and onset timing and extension duration from AMSR-E database to find out the regular pattern of climate seasonal changes phenomenon. Thirdly, during comparing batch processing within pixel value in time series from 2003 to 2011, to find out the changes of snow and water coverage. Finally, combine with NDVI, precipitation and LST (land surface temperature) data to estimate the CH4 flux.
  • Keywords
    land cover; land surface temperature; precipitation; snow; terrain mapping; time series; wetlands; AD 2003 to 2011; AMSR-E database; CH4 emission; CH4 flux; Eastern Europe; LSWC offset timing; LSWC onset timing; NDVI; Siberia; batch processing; climate seasonal change phenomenon; estimation methods; extension duration; glob-cover land-cover map; impact factors; land surface temperature data; land surface water coverage; natural wetland; precipitation; remote sensing; snow coverage; time series; wetland distribution; Abstracts; Batch production systems; Indexes; Market research; Remote sensing; Snow; LSWC; Land-cover; duration; offset-onset; snow coverage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723653
  • Filename
    6723653