• DocumentCode
    2680041
  • Title

    Retrieval of the Overstory and Understory Leaf Area Index of Forest Stands Using a Model of Forest Canopy Reflectance

  • Author

    Huang, Jianxi ; Mao, Feng ; Xu, Wenbo ; Zhou, Wensheng

  • Author_Institution
    Archit. Sch., Tsinghua Univ., Beijing
  • Volume
    2
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    In this paper, the Kuusk-Nilson forest reflectance and transmittance (FRT) model was inverted to retrieve the overstory and understory leaf area index (LAI) of forest stands in the Longmenhe Nature Reserve (Xingshan County, Hubei province, China). Atmospherically and topographically corrected hyperspectral Hyperion imagery and field data had been input to retrieve the overstory and understory LAI simultaneously using FRT inverted model. An uncertainty and sensitivity matrix was used to analyze the sensitivity of the FRT model parameters based on field data. Twenty-one Hyperion bands were selected based on principal-components analysis and band importance from total Hyperion bands. Eight different Hyperion band combinations from 21 Hyperion bands were tested to evaluate the accuracy of the inversion of overstory and understory LAI. Our study showed that the overstory LAI of stands can be better retrieved when considering the understory LAI compared to only use total LAI.
  • Keywords
    image retrieval; light transmission; principal component analysis; reflectivity; vegetation; vegetation mapping; China; Kuusk-Nilson forest reflectance and transmittance model; Longmenhe Nature Reserve; Xingshan County; forest canopy reflectance; forest stands; hyperspectral Hyperion imagery; overstory leaf area index; principal-components analysis; sensitivity matrix; uncertainty matrix; understory leaf area index; Atmospheric modeling; Extraterrestrial measurements; Information retrieval; Information science; Reflectivity; Remote sensing; Satellites; Soil; Uncertainty; Vegetation mapping; EO-1 Hyperion; Forest Reflectance Transmittance (FRT) model; Overstory LAI; Understory LAI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779110
  • Filename
    4779110