• DocumentCode
    2001493
  • Title

    Vegetation water content estimation using Hyperion hyperspectral data

  • Author

    Yuan, Jinguo ; Sun, Kaijun ; Niu, Zheng

  • Author_Institution
    Hebei Key Lab. of Environ. Change & Ecological Constr., Hebei Normal Univ., Shijiazhuang, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper used water related vegetation indices calculated from Hyperion image to make water content mapping. The study area is located in Zhangye city, Gansu province in Heihe River Basin of China. Hyperion hyperspectral data was acquired on September 10, 2007. Using Hyperion reflectance of 35 plots, the relationships between vegetation indices and Equivalent Water Thickness (EWT) were calculated. R2 between Enhanced Vegetation Index (EVI) and EWT was 0.325. The correlations between new vegetation indices and EWT were higher. The highest R2 was 0.377 between (EVI×NDVI)/MSI and EWT, so (EVI×NDVI)/MSI acquired from Hyperion image was used to make EWT mapping. The range of EWT was 0.0127-0.0281 g/cm2 with an average of 0.01479 g/cm2. Zhangye city, buildings and the edge of desert area had the lowest EWT, ranged from 0.0127 g/cm2 to 0.013 g/cm2, while non-eared and non-intercropped corn had high EWT(0.015-0.018 g/cm2). The sources of errors were also discussed.
  • Keywords
    agriculture; forestry; vegetation; vegetation mapping; AD 2007 09 10; China; EVI; EWT; Gansu province; Heihe River Basin; Hyperion hyperspectral data; Hyperion reflectance; Zhangye city; enhanced vegetation index; equivalent water thickness; vegetation water content estimation; water content mapping; water related vegetation index; Absorption; Data models; Hyperspectral sensors; Indexes; Reflectivity; Vegetation mapping; (EVI×NDVI)/MSI; EWT; Hyperion hyperspectral data; vegetation water content;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2010 18th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-7301-4
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2010.5567968
  • Filename
    5567968