• DocumentCode
    2710920
  • Title

    Spatial and temporal analysis of MODIS EVI and TRMM 3B43 rainfall retrievals in Australia

  • Author

    Wong, Wing Fung James

  • Author_Institution
    Dept. of Geogr., Univ. of Cambridge, Cambridge, UK
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Precipitation is a major source of freshwater in water cycle. Accurate information and spatial details of water availability are important to arid and semi-arid areas. This study examined the relationships between vegetation cover and rainfall variability in Australia from 2000 to 2008. Vegetation index can be treating as a proxy of precipitation. By linear regression of the EVI values to the rainfall data in various spatial and temporal scales, relations between EVI values and rainfall amount can be establish and used to predict cumulative spatial rainfall amount at relatively high resolution. This relation can help to develop a new methodology that uses finer scale EVI patterns to estimate precipitation in semi-arid and arid areas. Analysis results showed that EVI was a good proxy for precipitation in 0.25° resolution. Seasonal and principle component analysis of EVI and rainfall indicated that there were strong seasonal correlation between EVI and rainfall.
  • Keywords
    principal component analysis; rain; regression analysis; vegetation; AD 2000 to 2008; Australia; EVI value; MODIS EVI rainfall retrieval; TRMM 3B43 rainfall retrieval; freshwater; linear regression; precipitation; principle component analysis; rainfall variability; spatial analysis; temporal analysis; vegetation cover; vegetation index; water cycle; Australia; Correlation; MODIS; Meteorology; Spatial resolution; Time series analysis; Vegetation mapping; MODIS EVI; TRMM rainfall; principle component analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980968
  • Filename
    5980968